Compare commits

..
Author SHA1 Message Date
John Colvin 0c0d2ac911 refactor: Add new glbx variable ticks to security (shm and proto) 2026-03-04 08:00:40 +00:00
John Colvin c55d6447f4 diag: Add logs to MDP3Listener::onOption 2026-03-03 15:28:13 +00:00
John Colvin 48c2641069 refactor: Enable nullability in Bts.Spark.Api 2026-03-03 15:06:06 +00:00
John Colvin 303e4be09e build: Upgrade cs LangVersion 11 -> 12 2026-03-03 15:06:06 +00:00
John Colvin 45ff7fea95 refactor: Rename SparkApiCredentials -> SparkCredentials 2026-03-03 15:06:06 +00:00
John Colvin 6462a6a56c refactor: Rename SparkdLoginService -> SparkLoginService
This makes it consistent with other type names (we don't use "Sparkd"
anywhere else).
2026-03-03 15:06:06 +00:00
John Colvin f842a0528f refactor: Rename SparkdCredentials.cs -> SparkApiCredentials.cs
Matches the class name
2026-03-03 15:06:06 +00:00
John Colvin 74c9023eac cleanup: Remove unnecessary subscription wrapper in cs sdk 2026-03-03 15:06:06 +00:00
John Colvin c7edd8403f cleanup: Fix indentation in TopStream
Whitespace changes
2026-03-03 15:06:06 +00:00
John Colvin 0a8e066c86 cleanup: Fix build warnings in EqualityComparer
Nullability issues
2026-03-03 15:06:06 +00:00
John Colvin 2db4d23ca9 refactor: Rename Optional members PascalCase
Also reformat code according to new style guidlines
2026-03-03 15:06:06 +00:00
John Colvin f876061236 refactor: Replace ToDictionaryCrushed/Dupes w/ DuplicateKeyPolicy enum
Overload ToDictionary with this enum instead.
2026-03-03 15:06:06 +00:00
John Colvin 40482d51e4 refactor: Replace find_first_index with FindIndex 2026-03-03 15:06:06 +00:00
John Colvin 28e899fd10 cleanup: Fix cs build warnings 2026-03-03 15:06:06 +00:00
John Colvin 2f7e75fec0 refactor: Break up Bts.Spark.Core into a few diff projs
This is in anticipation of decoupling BlueOrb from Spark.

* Bts.Collections
* Bts.Core
* Bts.Disposables
* Bts.Numerics
2026-03-03 15:06:06 +00:00
John Colvin 749fed15ad build: Clean up spark_client.sln
* Remove unused csprojs related to old sdk
* Remove erroneous build type config
2026-03-03 15:06:06 +00:00
651 changed files with 3687 additions and 25372 deletions

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-8
View File
@@ -29,9 +29,6 @@
# tools/deploy.sh --help
#
### Host/Runtime ###
TZ=Etc/UTC
### Sparkd ###
# The internal image for sparkd to use. For more info, view:
# src/server/sparkd/Dockerfile
@@ -41,9 +38,6 @@ SPARKD__CONFIG_DIR=src/app_sparkd/configurations/dev
# Mount a specific volume or dir to "~/sparkdata/data" inside the docker.
# Defaults to a volume named "sparkd_<config_port>" (e.g., sparkd_8000).
# SPARKD__DATA_DIR=/home/bts/sparkdata/data
# Mount volume or dir to "/md_recording" inside the docker. Defaults to volume
# "sparkd_md_recording_<config_port>" (e.g., sparkd_md_recording_8000).
# SPARKD__MD_RECORDING_DIR=/home/bts/md_recording
SPARKD__SOURCE_DIR=install/sparkd-release-gcc
SPARKD__RUNTIME_CONF_DIR=/home/ubuntu/8000/sparkdata/conf/
SPARKD__CONFIG_PORT=8000
@@ -51,8 +45,6 @@ SPARKD__QUICKBUS_PORT=8001
SPARKD__SIM_FIX_PORT=8002
SPARKD__SHM_SIZE=4gb
SPARKD__PYTHON_REQUIREMENTS=requirements.txt
SPARKD__SPARKD_ENTRYPOINT=src/app_sparkd/sparkd-entrypoint.sh
SPARKD__MAIN_ENTRYPOINT=./sparkd-entrypoint.sh
### PubSubServer ###
PUBSUB__CONFIG_DIR=src/DataStreamSuite/PubSubServer/Configurations/Development
+11 -11
View File
@@ -183,10 +183,11 @@
"windows": {
"program": "PubSubServer.exe",
},
"args": [
"--config",
"${workspaceFolder}/src/DataStreamSuite/PubSubServer/Configurations/${input:pubSubServerConfig}.json"
],
"cwd": "build/Debug/bin/net8.0",
"env": {
"DOTNET_ENVIRONMENT": "${input:pubSubServerEnvironment}",
},
"stopAtEntry": false,
"console": "integratedTerminal"
},
@@ -213,7 +214,7 @@
"type": "coreclr",
"request": "launch",
"program": "",
"preLaunchTask": "Build Spark Sdk (Debug)",
"preLaunchTask": "Build Api Server (Debug)",
"windows": {
"program": "Bts.Spark.Sdk.Demo.exe",
},
@@ -285,7 +286,7 @@
"windows": {
"program": "Spark.exe",
"args": [
"--Spark:ConfigServer",
"--sparkd",
"${input:sparkConfigServer}"
],
"cwd": "build/Debug/bin/net8.0-windows",
@@ -448,15 +449,14 @@
"default": "Local",
},
{
"id": "pubSubServerEnvironment",
"id": "pubSubServerConfig",
"type": "pickString",
"description": "PubSubServer Configuration",
"description": "PubSub Configuration",
"options": [
"Development",
"EchoServer",
"Local",
"PubSubServer",
"SimpleEchoClient",
],
"default": "Development",
"default": "PubSubServer",
},
{
"id": "sdkDemoEnvironment",
+60
View File
@@ -17,6 +17,14 @@ Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Bts.Spark.Sdk", "src\cs\Bts
EndProject
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EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Bts.Collections", "src\cs\Bts.Collections\Bts.Collections.csproj", "{3BF4DF96-5AFF-4674-866A-71A8090627FF}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Bts.Core", "src\cs\Bts.Core\Bts.Core.csproj", "{CD0A3EEF-303A-44EE-85F2-76F4CE632A3B}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Bts.Disposables", "src\cs\Bts.Disposables\Bts.Disposables.csproj", "{62067659-AA2E-4CB5-B7CE-0B38EAA92080}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Bts.Numerics", "src\cs\Bts.Numerics\Bts.Numerics.csproj", "{2FE1E5D0-168A-4D83-9B18-0D48250B4BFE}"
EndProject
Global
GlobalSection(SolutionConfigurationPlatforms) = preSolution
Debug|Any CPU = Debug|Any CPU
@@ -87,6 +95,54 @@ Global
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EndGlobalSection
GlobalSection(SolutionProperties) = preSolution
HideSolutionNode = FALSE
@@ -98,5 +154,9 @@ Global
{37E4E890-D025-4729-90F9-6F95862F47BC} = {C5A3B5EA-BE9F-76E5-E9B8-8A22B289B295}
{A5FF3FAF-43CB-496B-AF4B-F61EFD645579} = {C5A3B5EA-BE9F-76E5-E9B8-8A22B289B295}
{FCFDBDBE-74B0-41C4-9011-C651B21056D4} = {C5A3B5EA-BE9F-76E5-E9B8-8A22B289B295}
{3BF4DF96-5AFF-4674-866A-71A8090627FF} = {C5A3B5EA-BE9F-76E5-E9B8-8A22B289B295}
{CD0A3EEF-303A-44EE-85F2-76F4CE632A3B} = {C5A3B5EA-BE9F-76E5-E9B8-8A22B289B295}
{62067659-AA2E-4CB5-B7CE-0B38EAA92080} = {C5A3B5EA-BE9F-76E5-E9B8-8A22B289B295}
{2FE1E5D0-168A-4D83-9B18-0D48250B4BFE} = {C5A3B5EA-BE9F-76E5-E9B8-8A22B289B295}
EndGlobalSection
EndGlobal
+108
View File
@@ -51,6 +51,14 @@ Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Bts.Net", "src\cs\Bts.Net\B
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Bts.IO.Compression", "src\cs\Bts.IO.Compression\Bts.IO.Compression.csproj", "{BC277499-8215-4F9F-B9AB-07B6391110BF}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Bts.Collections", "src\cs\Bts.Collections\Bts.Collections.csproj", "{C42F4CCB-9E65-4370-939A-527ACDBC4DA6}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Bts.Core", "src\cs\Bts.Core\Bts.Core.csproj", "{802ECF0B-7264-4168-95D1-158E47FB65CC}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Bts.Disposables", "src\cs\Bts.Disposables\Bts.Disposables.csproj", "{95C5F6C0-88E5-4338-9A4F-614CF6C03CC0}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Bts.Numerics", "src\cs\Bts.Numerics\Bts.Numerics.csproj", "{0354655D-2394-42BB-B1D4-2D75B9BCABF1}"
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Global
GlobalSection(SolutionConfigurationPlatforms) = preSolution
Debug|x64 = Debug|x64
@@ -571,6 +579,102 @@ Global
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EndGlobalSection
GlobalSection(SolutionProperties) = preSolution
HideSolutionNode = FALSE
@@ -592,6 +696,10 @@ Global
{385C4948-E080-56A6-E29E-8B0F4913175C} = {267F81EF-A8AB-49FD-9F56-D7EC3C1F7C7C}
{43FB297B-7A4D-4835-A878-E6DF345B580C} = {385C4948-E080-56A6-E29E-8B0F4913175C}
{BC277499-8215-4F9F-B9AB-07B6391110BF} = {385C4948-E080-56A6-E29E-8B0F4913175C}
{C42F4CCB-9E65-4370-939A-527ACDBC4DA6} = {385C4948-E080-56A6-E29E-8B0F4913175C}
{802ECF0B-7264-4168-95D1-158E47FB65CC} = {385C4948-E080-56A6-E29E-8B0F4913175C}
{95C5F6C0-88E5-4338-9A4F-614CF6C03CC0} = {385C4948-E080-56A6-E29E-8B0F4913175C}
{0354655D-2394-42BB-B1D4-2D75B9BCABF1} = {385C4948-E080-56A6-E29E-8B0F4913175C}
EndGlobalSection
GlobalSection(ExtensibilityGlobals) = postSolution
SolutionGuid = {422D1620-0166-4C26-9A81-CA8A2EB1AB58}
+37 -94
View File
@@ -2,7 +2,6 @@ services:
sparkd:
volumes:
- ${SPARKD__DATA_DIR:-sparkd_data}:/home/bts/.local/share/bts/sparkd/data
- ${SPARKD__MD_RECORDING_DIR:-md_recording}:/md_recording
build:
dockerfile: src/app_sparkd/Dockerfile
args:
@@ -10,35 +9,24 @@ services:
- SOURCE_DIR=${SPARKD__SOURCE_DIR}
- CONFIG_DIR=${SPARKD__CONFIG_DIR}
- PYTHON_REQUIREMENTS=${SPARKD__PYTHON_REQUIREMENTS}
- SPARKD_ENTRYPOINT=${SPARKD__SPARKD_ENTRYPOINT}
shm_size: "${SPARKD__SHM_SIZE:-512mb}"
env_file:
- .env
- ${SPARKD__CONFIG_DIR}/.env
ports:
- "${SPARKD__CONFIG_PORT}:${SPARKD__CONFIG_PORT}"
- "${SPARKD__QUICKBUS_PORT}:${SPARKD__QUICKBUS_PORT}"
- "${SPARKD__SIM_FIX_PORT}:${SPARKD__SIM_FIX_PORT}"
entrypoint: ${SPARKD__MAIN_ENTRYPOINT}
deploy:
resources:
limits:
memory: "${SPARKD__MEMORY:-4gb}"
sparkd-shell:
volumes:
- ${SPARKD__DATA_DIR:-sparkd_data}:/home/bts/.local/share/bts/sparkd/data
- ${SPARKD__MD_RECORDING_DIR:-md_recording}:/md_recording
build:
dockerfile: docker/images/bluetradingsystems/linux_shell/Dockerfile
args:
- IMAGE=${SPARKD__IMAGE}
- SOURCE_DIR=${SPARKD__SOURCE_DIR}
- CONFIG_DIR=${SPARKD__CONFIG_DIR}
- PYTHON_REQUIREMENTS=${SPARKD__PYTHON_REQUIREMENTS}
- SPARKD_ENTRYPOINT=${SPARKD__SPARKD_ENTRYPOINT}
shm_size: "${SPARKD__SHM_SIZE:-512mb}"
command: "do sleep 1; done"
command: >
sh -c "
echo bts | sudo -S chown -R bts:bts /home/bts/.local/share/bts/sparkd/data
if [ -e "/home/bts/.local/share/bts/sparkd/data/logging.sparkd/log" ]; then
mv "/home/bts/.local/share/bts/sparkd/data/logging.sparkd/log" "/home/bts/.local/share/bts/sparkd/data/logging.sparkd/log_$(date '+%Y%m%d-%H%M')"
fi
if [ -e "/home/bts/.local/share/bts/conf/.env.local" ]; then
echo 'Sourcing /home/bts/.local/share/bts/conf/.env.local'
set -a
. /home/bts/.local/share/bts/sparkd/conf/.env.local
set +a
fi
if [ -d /home/bts/.local/share/bts/sparkd/conf/plugins ]; then
echo 'Copying /home/bts/.local/share/bts/sparkd/conf/plugins to runtime dir (/home/bts/bin)'
cp -r /home/bts/.local/share/bts/sparkd/conf/plugins /home/bts/bin/
fi
./sparkd run"
env_file:
- .env
- ${SPARKD__CONFIG_DIR}/.env
@@ -54,7 +42,6 @@ services:
sparkd-symbols:
volumes:
- ${SPARKD__DATA_DIR:-sparkd_data}:/home/bts/.local/share/bts/sparkd/data
- ${SPARKD__MD_RECORDING_DIR:-md_recording}:/md_recording
- ${SPARKD__RUNTIME_CONF_DIR:-sparkd_conf}:/home/bts/.local/share/bts/sparkd/conf
build:
dockerfile: src/app_sparkd/Dockerfile
@@ -63,8 +50,26 @@ services:
- SOURCE_DIR=${SPARKD__SOURCE_DIR}
- CONFIG_DIR=${SPARKD__CONFIG_DIR}
- PYTHON_REQUIREMENTS=${SPARKD__PYTHON_REQUIREMENTS}
- SPARKD_ENTRYPOINT=${SPARKD__SPARKD_ENTRYPOINT}
shm_size: "${SPARKD__SHM_SIZE:-512mb}"
command: >
sh -c "
echo bts | sudo -S chown -R bts:bts /home/bts/.local/share/bts/sparkd
if [ -e "/home/bts/.local/share/bts/sparkd/data/logging.sparkd/log" ]; then
mv "/home/bts/.local/share/bts/sparkd/data/logging.sparkd/log" "/home/bts/.local/share/bts/sparkd/data/logging.sparkd/log_$(date '+%Y%m%d-%H%M')"
fi
ls -alh /home/bts/.local/share/bts/sparkd/conf/
cat /home/bts/.local/share/bts/sparkd/conf/.env.local
if [ -e "/home/bts/.local/share/bts/sparkd/conf/.env.local" ]; then
echo 'Sourcing /home/bts/.local/share/bts/sparkd/conf/.env.local'
set -a
. /home/bts/.local/share/bts/sparkd/conf/.env.local
set +a
fi
if [ -d /home/bts/.local/share/bts/sparkd/conf/plugins ]; then
echo 'Copying /home/bts/.local/share/bts/sparkd/conf/plugins to runtime dir (/home/bts/bin)'
cp -r /home/bts/.local/share/bts/sparkd/conf/plugins /home/bts/bin/
fi
./sparkd run"
env_file:
- .env
- ${SPARKD__CONFIG_DIR}/.env
@@ -72,7 +77,6 @@ services:
- "${SPARKD__CONFIG_PORT}:${SPARKD__CONFIG_PORT}"
- "${SPARKD__QUICKBUS_PORT}:${SPARKD__QUICKBUS_PORT}"
- "${SPARKD__SIM_FIX_PORT}:${SPARKD__SIM_FIX_PORT}"
entrypoint: ${SPARKD__MAIN_ENTRYPOINT}
deploy:
restart_policy:
condition: any
@@ -80,65 +84,7 @@ services:
resources:
limits:
memory: "${SPARKD__MEMORY:-4gb}"
sparkd-multicast:
environment:
- TZ=America/Chicago
volumes:
- ${SPARKD__DATA_DIR:-sparkd_data}:/home/bts/.local/share/bts/sparkd/data
- ${SPARKD__MD_RECORDING_DIR:-md_recording}:/md_recording
- ${SPARKD__RUNTIME_CONF_DIR:-sparkd_conf}:/home/bts/.local/share/bts/sparkd/conf
build:
dockerfile: src/app_sparkd/Dockerfile
args:
- IMAGE=${SPARKD__IMAGE}
- SOURCE_DIR=${SPARKD__SOURCE_DIR}
- CONFIG_DIR=${SPARKD__CONFIG_DIR}
- PYTHON_REQUIREMENTS=${SPARKD__PYTHON_REQUIREMENTS}
- SPARKD_ENTRYPOINT=${SPARKD__SPARKD_ENTRYPOINT}
shm_size: "${SPARKD__SHM_SIZE:-8192mb}"
env_file:
- .env
- ${SPARKD__CONFIG_DIR}/.env
network_mode: "host"
entrypoint: ${SPARKD__MAIN_ENTRYPOINT}
deploy:
restart_policy:
condition: any
delay: 3s
resources:
limits:
memory: "${SPARKD__MEMORY:-16gb}"
sparkd-multicast-cert:
environment:
- TZ=America/Chicago
volumes:
- ${SPARKD__DATA_DIR:-sparkd_data}:/home/bts/.local/share/bts/sparkd/data
- ${SPARKD__MD_RECORDING_DIR:-md_recording}:/md_recording
- ${SPARKD__RUNTIME_CONF_DIR:-sparkd_conf}:/home/bts/.local/share/bts/sparkd/conf
build:
dockerfile: src/app_sparkd/Dockerfile
args:
- IMAGE=${SPARKD__IMAGE}
- SOURCE_DIR=${SPARKD__SOURCE_DIR}
- CONFIG_DIR=${SPARKD__CONFIG_DIR}
- PYTHON_REQUIREMENTS=${SPARKD__PYTHON_REQUIREMENTS}
- SPARKD_ENTRYPOINT=${SPARKD__SPARKD_ENTRYPOINT}
shm_size: "${SPARKD__SHM_SIZE:-8192mb}"
env_file:
- .env
- ${SPARKD__CONFIG_DIR}/.env
network_mode: "host"
entrypoint: ${SPARKD__MAIN_ENTRYPOINT}
deploy:
restart_policy:
condition: any
delay: 3s
resources:
limits:
memory: "${SPARKD__MEMORY:-16gb}"
sparkd-tail:
image: bluetradingsystems/linux_dotnet8
volumes:
@@ -249,6 +195,3 @@ volumes:
name: "md_publisher_22019"
historic_md:
name: "historic_md"
md_recording:
name: "sparkd_md_recording_${SPARKD__CONFIG_PORT:-8000}"
external: true
-942
View File
@@ -1,942 +0,0 @@
# Security ID handling in `sparkd`
This document traces how security identifiers are created, translated, persisted,
indexed, and published by the `sparkd` market-data paths. It focuses on the
legacy CME MDP3/OnixS pipeline and the newer generalized market-data pipeline.
## Executive summary
`sparkd` uses two identifiers that must not be confused:
| Identifier | Meaning | Typical field | Lifetime |
|---|---|---|---|
| Exchange/feed ID | The venue's identifier used to route incoming definitions, books, and trades | `FixedSecurity::numeric_id`, `ExchangeKey`, or `domain::Security::security_common.exchange_sec_id` | Feed/session-specific unless the source guarantees stability |
| Spark security key | Spark's internal non-zero identifier used in shared memory, APIs, orders, positions, and downstream services | `FixedSecurity::key`, `api::Security::id()`, `SecurityKey`; historically also called `security_id` | Intended to be stable across restarts |
`invalid_security_key` is `0`; a security with key `0` is not yet publicly
discoverable through the shared-memory consumer path.
The two principal paths differ:
- **MDP3/OnixS:** the definition callback sets only the CME ID in
`numeric_id`. `MDProducer::add_security()` allocates the shared-memory entry
with key `0`. `SecurityIDRecorder`, driven by a 200 ms dispatcher timer,
resolves or inserts a stable key in `key_ids.sqlite`; its callback finally
calls `MDProducerHandle::set_key()`.
- **Generalized/newer pipeline:** `GeneralMarketDataListener::on_securities()`
currently uses the ID already present on the incoming domain security
(`use_given_sec_key == true`). Live adapters normally obtain that ID
synchronously from `IDGenerator` first. `_copy_security_common()` then copies
it to both `FixedSecurity::key` and `numeric_id`, so
`MDProducer::add_security()` publishes it synchronously. Only the listener's
own fallback `IDGenerator` call is bypassed by the current constant.
## End-to-end diagrams
### CME MDP3 / OnixS
```mermaid
sequenceDiagram
participant FE as OnixS feed-engine thread
participant L as MDP3Listener
participant P as MDProducer / shared memory
participant Q as SecurityIDRecorder queues
participant D as sparkd dispatcher thread
participant DB as key_ids.sqlite
FE->>L: instrument definition (CME SecurityID)
L->>L: set_security_common() - numeric_id = CME SecurityID, key remains 0
L->>P: add_security(FixedSecurity)
P->>P: allocate hot + cold entries with key 0
P->>Q: ensure_key(handle)
L->>L: index[CME SecurityID] = handle
Note over FE,L: Books can route by CME ID while the Spark key is pending
D->>Q: every 200 ms - work_spreads(), work_handles(), work_db()
Q->>DB: find (namespace, descriptor), or insert a new row
DB-->>Q: SQLite rowid = Spark security key
Q->>P: handle.set_key(rowid)
P->>P: hot.key first, then cold security.key, then increment security_count
Note over P: The security is now public to shared-memory consumers
```
### Generalized/newer pipeline (current behavior)
```mermaid
sequenceDiagram
participant A as Venue adapter / plugin
participant DB as IDGenerator / key_ids.sqlite
participant G as GeneralMarketDataListener
participant I as GeneralSecurityIndex
participant P as MDProducer / shared memory
A->>DB: get_or_add(venue, type, adapter key)
DB-->>A: SQLite rowid as domain SecurityID
A->>G: on_securities(domain Security list with ID)
G->>G: _find_sec() - use incoming security_common.id
G->>G: _copy_security_common() - key = id, numeric_id = id
G->>P: add_security(FixedSecurity with non-zero key)
P->>P: set_key() during add_security()
G->>I: index[id] = handle
Note over G,P: No asynchronous ID assignment in the current configuration
```
## Data-flow charts
The sequence diagrams above emphasize timing and thread transitions. These
flowcharts emphasize which identifier is carried through each representation
and where data is retained.
### MDP3 / legacy data flow
```mermaid
flowchart TD
CME["CME MDP3 packets<br/>CME SecurityID"] --> ONIXS["OnixS feed engine<br/>decode definition and updates"]
ONIXS --> DEF["MDP3Listener definition callback"]
DEF --> FIXED["FixedSecurity<br/>numeric_id = CME SecurityID<br/>key = 0"]
FIXED --> PRODUCER["MDProducer::add_security"]
PRODUCER --> PENDING["Hot and cold shared memory<br/>allocated but not public<br/>key = 0"]
PRODUCER --> QUEUE["SecurityIDRecorder<br/>pending_handle queue"]
FIXED --> CMEINDEX["CMESecurityIndex<br/>CME SecurityID to handle"]
QUEUE --> TIMER["Dispatcher timer<br/>every 200 ms"]
TIMER --> LEGS{"Spread legs<br/>all resolved?"}
LEGS -- No --> UNRESOLVED["unresolved_legs<br/>exchange IDs awaiting keys"]
UNRESOLVED --> CMEINDEX
CMEINDEX --> LEGS
LEGS -- Yes or outright --> LOGICAL["Logical identity<br/>venue + type + security_desc"]
LOGICAL --> SELECT["SQLite SELECT<br/>key_ids.sqlite"]
SELECT -- Existing row --> ROWID["SQLite rowid<br/>Spark security key"]
SELECT -- Missing row --> INSERT["Batched SQLite INSERT"]
INSERT --> ROWID
ROWID --> SETKEY["MDProducerHandle::set_key"]
SETKEY --> HOT["Write hot-entry key"]
HOT --> COLD["Write cold security key"]
COLD --> COUNT["Increment security_count"]
COUNT --> PUBLIC["Public security<br/>visible to MDConsumer"]
ONIXS --> UPDATE["Book, trade, status, or RFQ<br/>carrying CME SecurityID"]
UPDATE --> CMEINDEX
CMEINDEX --> HANDLE["MDProducerHandle"]
HANDLE --> LIVE["Update live shared-memory data"]
PUBLIC --> LIVE
```
The CME index is usable before the Spark key is assigned, so feed updates can
reach the internal handle while the security is still hidden from consumers.
The persistent rowid crosses the publication boundary only at `set_key()`.
### Generalized/newer data flow
```mermaid
flowchart TD
FEED["Venue feed, Databento,<br/>Python plugin, or replay"] --> ADAPTER["Source adapter<br/>build domain::Security"]
ADAPTER --> IDTYPE{"Live definition or<br/>recorded/pre-keyed input?"}
IDTYPE -- Live --> IDINPUT["Logical identity<br/>venue + type + adapter-chosen name"]
IDINPUT --> MUTEX["IDGenerator global mutex"]
MUTEX --> SELECT["Synchronous SQLite SELECT<br/>key_ids.sqlite"]
SELECT -- Existing row --> ROWID["SQLite rowid"]
SELECT -- Missing row --> INSERT["Synchronous SQLite INSERT<br/>autocommit"]
INSERT --> ROWID
ROWID --> DOMAINID["domain::SecurityID<br/>used as Spark ID"]
IDTYPE -- Recorded or pre-keyed --> DOMAINID
DOMAINID --> DOMAINSEC["SecurityCommon::id = Spark ID"]
DOMAINSEC --> LISTENER["GeneralMarketDataListener::on_securities"]
LISTENER --> CCMAP["cc_sec_id_map<br/>incoming ID to Spark ID"]
LISTENER --> CONVERT["_copy_security_common<br/>FixedSecurity.key = ID<br/>numeric_id = ID"]
CONVERT --> PRODUCER["MDProducer::add_security"]
PRODUCER --> SETKEY["Immediate set_key<br/>no recorder timer"]
SETKEY --> SHM["Hot and cold shared memory<br/>immediately public"]
CONVERT --> GENERALINDEX["GeneralSecurityIndex<br/>ID to handle"]
FEED --> EVENT["Book, trade, or statistics<br/>with exchange/source identity"]
EVENT --> EVENTMAP["Adapter map<br/>source identity to domain::SecurityID"]
EVENTMAP --> EVENTID["Event carries domain::SecurityID"]
EVENT --> PYHOT["Python bridge only<br/>synchronous IDGenerator lookup"]
PYHOT --> EVENTID
PYHOT -. uses same mutex and SQLite path .-> MUTEX
EVENTID --> CCMAP
CCMAP --> GENERALINDEX
GENERALINDEX --> HANDLE["MDProducerHandle"]
HANDLE --> SHMUPDATE["Update book, trade,<br/>statistics, or status"]
SHM --> SHMUPDATE
```
In the normal newer live path, persistence occurs before the definition enters
the generalized listener. The DB call therefore adds synchronous adapter-side
latency, but publication needs no later timer. Most adapters use an in-memory
map for subsequent events; the dotted Python path is the documented exception.
## The publication boundary
`MDProducerHandle::set_key()` is the definitive publication point for the
legacy shared-memory representation. Its write ordering is intentional:
1. Write the key into the hot book entry (`HotEntry` or `HotDepthEntry`).
2. Write the key into the cold security entry.
3. Increment the cold header's public `security_count`.
The cold security key is written last because consumers treat a non-zero cold
key as visibility. At that moment the corresponding hot entry must already be
addressable. `set_key()` only permits the transition from `0` to one key; it is
not a key-update mechanism.
## Identifier representations
The names are historically inconsistent. In particular, many protobuf fields
named `security_id` contain the **Spark key**, not the exchange's ID.
| Layer | Exchange/feed identifier | Spark identifier |
|---|---|---|
| MDP3 wire/OnixS | `securityId()` | not present |
| Legacy fixed security | `FixedSecurity::numeric_id` (`uint64_t`) | `FixedSecurity::key` / `security_key` (`uint32_t`) |
| Legacy API security | venue-specific `exchange_id` | top-level `Security.id()` |
| New domain model | `SecurityCommon::exchange_sec_id` (string) is descriptive; `SecurityCommon::id` is also used to correlate source events | `domain::SecurityID` (`uint64_t`), currently copied into the Spark key |
| Shared-memory hot book | none | `HotEntry::key` or `HotDepthEntry::key` |
| Shared-memory cold metadata | `FixedSecurity::numeric_id` | `FixedSecurity::key` |
| CME runtime lookup | `CMESecurityIndex` key | `SecurityData::handle.key()` |
| General runtime lookup | incoming/canonical `domain::SecurityID` | `GeneralSecurityIndex` key and `handle.key()` (currently the same value) |
The generalized model declares `domain::SecurityID` as 64-bit, but the legacy
shared-memory `security_key` remains 32-bit. `_copy_security_common()` assigns a
64-bit value to both `numeric_id` and the 32-bit `key`. This is safe only while
allocated IDs fit in 32 bits; unlike the legacy lookup path, this assignment has
no explicit checked conversion.
## Which parts use exchange IDs, descriptors, or Spark security IDs?
The three identifier classes serve different jobs:
- **Exchange/external ID:** routes data inside a venue or vendor feed adapter.
- **Descriptor/natural key:** recognizes a definition logically at the
persistence, discovery, or human-facing boundary.
- **Spark security ID/key:** joins the instrument to books, orders, fills,
positions, and services after publication.
The core downstream system does not repeatedly identify a security from its
description. The description is primarily used to obtain a Spark key; after
that boundary, most joins use the numeric Spark key.
### Component-level usage matrix
| Component or data path | Exchange/external ID | Descriptor or name | Spark security ID/key |
|---|---|---|---|
| CME MDP3 definition decoder | Reads `securityId()` and stores it in `FixedSecurity::numeric_id` | Copies definition symbol/tag 55 into `security_desc` | Leaves `FixedSecurity::key` at `0` initially |
| `CMESecurityIndex` | Primary map key; CME ID resolves to a handle | Not used for update routing | Returns `handle.key()` when the Spark key has been assigned |
| MDP3 books, trades, status, statistics, and RFQs | Incoming CME ID selects the handle through `CMESecurityIndex` | Not used to locate each update | The selected handle writes keyed shared-memory/trade data after publication |
| MDP3 spread definitions | Each leg initially contains `legSecurityId()` as `exchange_key` | Parent `security_desc` identifies the spread's DB row | Each leg's Spark key and then the parent Spark key must be resolved before publication |
| Legacy ICE OnixS | Uses ICE `marketId` as `numeric_id` and index key | ICE security description becomes the logical lookup name | Uses the same recorder-assigned Spark key pattern as MDP3 |
| `SecurityIDRecorder` | Does not allocate from the external ID | Uses `(venue, security type, securities::descriptor())` to find/create a row | Treats the SQLite rowid as the resulting Spark key |
| Native generalized adapters | Use exchange strings/numeric IDs to parse definitions and correlate updates | Usually pass a description or exchange instrument name to `IDGenerator` | Put the returned ID into `SecurityCommon::id` and later events |
| Databento adapter | Uses `msg.hd.instrument_id` for feed correlation and its in-memory map | Uses the decimal instrument ID string—not the human description—as the `IDGenerator` name | Caches `instrument_id -> domain::SecurityID` and places that ID on books/trades |
| Python bridge | Reads `exchange_security_id` from definitions, books, and trades | Uses that external-ID string as the `IDGenerator` name | Resolves it to `domain::SecurityID`; currently performs this lookup for every event |
| `IDGenerator` | Does not interpret whether `name` came from an exchange ID | Uses exactly `(venue, type, caller-supplied name)` | Returns the SQLite rowid as a 64-bit ID |
| `GeneralMarketDataListener` | Does not route on `exchange_sec_id` directly | Copies `sec.desc()` into fixed metadata; its disabled fallback allocator would use `sec.desc()` | Uses incoming `SecurityCommon::id`, maps events through `cc_sec_id_map`, and copies the value into both `key` and `numeric_id` |
| `GeneralSecurityIndex` | No separate external-ID concept in the current use-given path | Not used | Maps the generalized ID/Spark key to `MDProducerHandle` |
| `MDProducer` / shared memory | Retains `numeric_id`; in legacy feeds this is the exchange ID, but in the generalized path it is currently the Spark ID | Stores `security_desc` in the cold definition | Uses the key in hot/cold entries; non-zero key is the visibility boundary |
| `MDConsumer` | Not normally used to find live books | Can enumerate/filter converted security definitions | Finds handles and book data by `security_key` |
| `SecurityCache` / `securities.sqlite` | Preserves venue-specific exchange data inside the serialized security blob | Maintains descriptor/name lookup indexes and supports venue/type/name queries | Primary persisted definition key is `api::Security.id()` |
| MBO processor and MBO service | May retain exchange **order** IDs, which are separate from security exchange IDs | Not used to find the instrument | Indexes snapshots and requests by `SecurityKey`; MBO protobuf `security_id` means Spark key |
| Order manager and algorithms | Execution gateways eventually use venue-specific fields from the resolved security to encode orders | Descriptions appear in logs and errors, not as the primary join | Order definitions, subscriptions, book events, native orders, spread legs, and fills use `security_key` / `Security.id()` |
| Position, PNL, and risk services | Not used as their position join | May resolve metadata for display/reporting | Positions, fills, overrides, and PNL handles are keyed by Spark security ID |
| Relay and market-data recordings | Serialized security definitions may preserve venue exchange IDs | Preserve full descriptors in recorded definitions | Books, updates, trades, and replay correlation preserve the recorded Spark key |
| Synthetic security service | No venue exchange ID; synthetics use `VENUE_BTS` | Synthetic name is the recorder's logical descriptor | Recorder assigns the SQLite rowid and synthetic metadata is keyed by it |
### Exchange/external IDs: where they stop
In MDP3 the separation is explicit:
```text
CME SecurityID
-> FixedSecurity.numeric_id
-> CMESecurityIndex lookup
-> MDProducerHandle
-> Spark security_key for downstream publication
```
The external CME ID continues to route feed messages but does not become the
order/position key. This permits the same downstream Spark key to survive a
restart as long as the logical descriptor mapping remains in
`key_ids.sqlite`, even if the feed must rediscover the CME routing ID.
The generalized path collapses more of these roles:
```text
exchange/vendor identity
-> adapter calls IDGenerator
-> domain::SecurityID
-> FixedSecurity.key and FixedSecurity.numeric_id
-> GeneralSecurityIndex and downstream Spark key
```
`SecurityCommon::exchange_sec_id` may still contain the original textual
external identifier, but `GeneralMarketDataListener` does not use it to route
events and does not put it in `numeric_id`. The adapter must translate later
events to `domain::SecurityID` before invoking the listener.
### Descriptor/name users
Descriptors are used in three main places:
1. **Key allocation:** `SecurityIDRecorder` uses the legacy venue-specific
descriptor, while `IDGenerator` uses its caller-provided `name`.
2. **Definition lookup and discovery:** `SecurityCache` supports
venue/type/name lookup; symbol filters and administrative tools use security
metadata to select or display instruments.
3. **Diagnostics:** logs include symbols and descriptions so humans can
understand a numeric key.
Descriptions generally do not drive the high-rate book, trade, order, fill, or
position paths. Those paths use numeric IDs after definition resolution.
It is important that “descriptor” does not mean one universal canonical field:
- Legacy CME uses Globex `security_desc` from tag 55.
- Many generalized adapters use `sec.desc()` or an exchange instrument name.
- Databento uses its numeric instrument ID converted to a string.
- Python uses `exchange_security_id`.
Therefore, two adapters may describe the same economic contract but request
different logical rows and receive different Spark IDs.
### Spark security-ID users
Once a security is published, its Spark key is the dominant system identifier:
```mermaid
flowchart LR
KEY["Spark security key"] --> SHM["Hot/cold shared memory"]
KEY --> MDC["MDConsumer and book subscriptions"]
KEY --> MBO["MBO snapshots and queries"]
KEY --> OMS["Orders, algorithms, and spread legs"]
KEY --> FILLS["Fills and execution records"]
KEY --> POS["Positions, PNL, and risk"]
KEY --> API["Services and client APIs"]
KEY --> REC["Relay and market-data recordings"]
KEY --> SECDB["Serialized security definitions"]
```
Fields named `security_id`, `security_key`, or top-level `Security.id()` in
these downstream areas almost always mean the Spark key. They should not be
compared directly with CME `SecurityID`, Databento `instrument_id`, or another
venue/vendor identifier without going through the relevant adapter/index
mapping.
## Persistence and allocation
### The authoritative key mapping: `key_ids.sqlite`
Both allocators use `SqliteStore("key_ids")`. With the normal configuration the
file is:
```text
<SystemConfig.data_path>/databases/key_ids/key_ids.sqlite
```
The database contains one table and two indexes:
```sql
CREATE TABLE store (ns TEXT, key TEXT, value TEXT);
CREATE UNIQUE INDEX key_index ON store(ns, key);
CREATE INDEX ns_index ON store(ns);
```
The SQLite `rowid` is the generated Spark key. `ns` is normally
`<VENUE>.<SECURITY_TYPE>` (for example `GLBX.FUTURE`), and `key` is the security
descriptor chosen by the caller. `value` is normally empty. Therefore ID
stability depends on all three of these remaining stable:
- the configured `data_path` and preservation of this database;
- the venue/type namespace;
- the descriptor supplied by the feed adapter.
The two allocator implementations share the file and convention:
- `SecurityIDRecorder` (legacy): derives the namespace from legacy API enums and
uses `securities::descriptor()`. For CME this is the Globex
`security_desc`, populated from the definition's symbol/tag 55.
- `IDGenerator` (newer): derives the namespace from new domain enums and uses
the caller's `name`. Most adapters pass `sec.desc()` or an exchange instrument
identifier; Databento deliberately passes the decimal instrument ID, and the
Python bridge uses the exchange security ID.
### Logical-row examples
The following names are illustrative. Production uses the exact string emitted
by the selected feed/adapter, including its case, spacing, and weekly-series
notation.
#### Legacy `SecurityIDRecorder`
For CME, `set_security_common()` copies the MDP3 definition's symbol/tag 55 into
Globex `security_desc`. After converting the fixed security to
`api::Security`, `securities::descriptor()` returns that same
`glbx.security_desc()` string.
| Instrument | Legacy enums | Example descriptor from `security_desc` | Row searched/inserted in `store` |
|---|---|---|---|
| Future | `VENUE_GLBX`, `SECURITYTYPE_FUTURE` | `ESZ6` | `ns='GLBX.FUTURE', key='ESZ6'` |
| Standard option | `VENUE_GLBX`, `SECURITYTYPE_OPTION` | `ESZ6 C6500` | `ns='GLBX.OPTION', key='ESZ6 C6500'` |
| Weekly option | `VENUE_GLBX`, `SECURITYTYPE_OPTION` | `ESZ6-W1 C6500` | `ns='GLBX.OPTION', key='ESZ6-W1 C6500'` |
| Spot from a legacy-compatible venue path | `VENUE_COINBASE`, `SECURITYTYPE_SPOT` | `BTC-USD` | `ns='COINBASE.SPOT', key='BTC-USD'` |
A weekly option does not get a special namespace. Standard and weekly options
are both `SECURITYTYPE_OPTION`, so both live in `GLBX.OPTION`; the exact
`security_desc` distinguishes the weekly series. For example, if the database
assigned rowids `42001` through `42004` to the rows above, those integers—not
the descriptor strings—would be the Spark security keys.
Conceptually, legacy allocation is:
```text
future: lookup_or_insert("GLBX.FUTURE", "ESZ6")
option: lookup_or_insert("GLBX.OPTION", "ESZ6 C6500")
weekly option: lookup_or_insert("GLBX.OPTION", "ESZ6-W1 C6500")
spot: lookup_or_insert("COINBASE.SPOT", "BTC-USD")
```
#### Newer `IDGenerator`
The namespace result is similar, but the third argument is chosen by the
adapter. Examples using a description-oriented adapter are:
```cpp
get_or_add(VENUE_GLBX, SECURITY_TYPE_FUTURE, "ESZ6");
// store: ns="GLBX.FUTURE", key="ESZ6"
get_or_add(VENUE_GLBX, SECURITY_TYPE_OPTION, "ESZ6 C6500");
// store: ns="GLBX.OPTION", key="ESZ6 C6500"
get_or_add(VENUE_GLBX, SECURITY_TYPE_OPTION, "ESZ6-W1 C6500");
// store: ns="GLBX.OPTION", key="ESZ6-W1 C6500"
get_or_add(VENUE_COINBASE, SECURITY_TYPE_SPOT, "BTC-USD");
// store: ns="COINBASE.SPOT", key="BTC-USD"
```
Databento intentionally produces a different logical row even when the human
description is `ESZ6`. If its instrument ID were `12345678`, it would call the
equivalent of:
```cpp
get_or_add(VENUE_GLBX, SECURITY_TYPE_FUTURE, "12345678");
// store: ns="GLBX.FUTURE", key="12345678"
```
Likewise, the Python bridge uses `exchange_security_id`. A spot definition with
`exchange_security_id="BTC-USD"` produces the `COINBASE.SPOT / BTC-USD` row,
while a provider that sends `exchange_security_id="BTCUSD"` produces a
different row and therefore a different Spark key.
These examples show why the tuple is only logical when the adapter's naming
contract is also known. `GLBX.FUTURE / ESZ6` and `GLBX.FUTURE / 12345678` may
describe the same contract to a human but are distinct rows to `key_ids.sqlite`.
Both enum-prefix removals currently produce the same namespace spelling (for
example, `GLBX.OPTION`), so both mechanisms allocate from one global SQLite
rowid space. Live rows cannot share a rowid. The table does not declare
`AUTOINCREMENT`, however, so deleting rows—especially the highest row—can allow
SQLite to reuse a number later. Security-key rows should therefore be treated
as append-only operational data.
`SqliteStore` uses WAL mode and `PRAGMA synchronous = 0`. This favors startup
and feed latency over maximum durability against a host/power failure. The
unique `(ns, key)` index prevents two different rows for the same logical
security.
### Other places the key is stored
| Location | Purpose | Authoritative for allocation? |
|---|---|---|
| Hot and cold shared-memory segments | Live publication and fast consumer lookup | No; rebuilt at process startup |
| `CMESecurityIndex` / `GeneralSecurityIndex` and adapter maps | In-process routing from an incoming ID to a producer handle | No; in-memory only |
| `<data_path>/databases/md/securities.sqlite` | Serialized legacy `api::Security` definitions keyed by Spark key; used by security cache and MDP3 Sunday preload | No; it stores metadata after a key exists |
| Relay/market-data recordings | Preserve the key embedded in recorded securities, books, and trades for deterministic replay | No; replay normally reuses the recorded value |
| Orders, fills, positions, APIs | Reference a security by the published Spark key | No |
The `SecurityIDRecorder::work_db()` comment says a published security is also
recorded in the security database, but that function does **not** write
`securities.sqlite` in the current code. Full security definitions are persisted
separately by `SecurityCache::flush_to_disk()` through
`db::insert_or_replace()`.
## CME MDP3 / OnixS pipeline in detail
### 1. Construction and thread setup
`MDP3Main::PImpl` owns one `CMESecurityIndex`, one `SecurityIDRecorder`, and one
`MDProducer`. It constructs the recorder with:
- a lookup callback that maps `ExchangeKey` through the CME index to the
handle's current Spark key; and
- `Dispatcher::current()`, which drives a 200 ms recorder timer.
In the current `MarketDataGateway` route, `OnixsGlbxSubscription` creates a
dedicated `dispatcher_thread`, constructs and starts `MDP3Main` on that thread,
then calls that thread's dispatcher `run()`. The older `md run onixs` command
uses its command/dispatcher thread similarly.
The OnixS feed engine has its own configured thread pool. Instrument and market
data callbacks therefore originate on OnixS feed-engine threads, while recorder
database work and final key assignment execute on the MDP3 dispatcher thread.
| MDP3 stage | Executing thread | DB call? |
|---|---|---|
| Decode definition and set CME `numeric_id` | OnixS feed-engine callback thread | No |
| Allocate hot/cold entry and queue handle | Same OnixS callback thread | No |
| Add CME-ID index entry | Same OnixS callback thread | No |
| Resolve spread legs | MDP3 dispatcher thread, on 200 ms timer | No |
| Select/insert Spark key | MDP3 dispatcher thread, on 200 ms timer | Yes |
| `handle.set_key()` and public visibility | MDP3 dispatcher thread, in DB callback | No additional call |
### 2. Definition callback: exchange ID is set, Spark key is not
For futures, options, and spreads, `MDP3Listener::set_security_common()` does:
```cpp
fsec.numeric_id = def.securityId();
```
It also copies symbol/descriptor/venue and pricing fields. A newly constructed
`FixedSecurity` already has `key == invalid_security_key` (`0`), and this helper
does not change it.
For a spread, every leg starts with:
```cpp
leg.exchange_key = ExchangeKey(definition_leg.legSecurityId());
leg.key = invalid_security_key;
```
Thus both the parent and legs initially carry exchange-routing identity, but no
Spark identity.
### 3. Shared-memory allocation and exchange indexing
`MDP3Listener::add_security()` performs these operations in order:
1. `_producer.add_security(security)` allocates a hot entry and a variable-sized
cold entry and copies the security into the cold segment.
2. Because the key is `0`, `MDProducer` queues the handle through
`SecurityIDRecorder::ensure_key()`.
3. `_index.add_security(security.numeric_id, handle)` immediately creates the
CME-ID-to-handle mapping.
4. The initial exchange status is written through the handle.
This ordering means incoming books can already be routed by CME ID while the
Spark key is pending. Shared-memory consumers cannot discover the security yet.
Also, `MDProducerHandle::add_trade()` only appends to the public trade queue
when `key() != 0`, so a trade received in this short window updates the cold
last-trade state but is not added to the keyed trade log.
### 4. Recorder tick: spreads, handles, then database
Every 200 ms the recorder calls, in this exact order:
1. `work_spreads()` tries to fill previously unresolved spread leg keys by
asking `CMESecurityIndex` for each leg exchange ID.
2. `work_handles()` drains new handles. Outrights are converted to an API
security and queued for DB lookup immediately. A spread without all leg keys
is retained in `pending_handle` and its leg pointers are registered in
`unresolved_legs`.
3. `work_db()` resolves queued `(venue, type, descriptor)` requests.
Because spread work precedes new-handle work, a newly seen unresolved spread
normally waits until at least the next timer tick to resolve legs. It waits
longer if any outright leg has not yet received its Spark key. A spread's own
key is not requested until every leg key is non-zero.
### 5. Lookup or generation
`work_db()` first queries `(ns, key)`:
- Existing row: use its `rowid` as the key and invoke the callback.
- Missing row: batch it into `insert_many_resolve_ids()`. SQLite assigns a new
rowid inside a transaction, the row object receives that ID, and the callback
runs after the transaction completes.
New inserts are throttled to roughly 200 per timer pass (the current `> 200`
check can admit 201) to avoid delaying heartbeats during startup. The queues are
TBB concurrent queues, but all SQLite access is serialized onto the recorder's
dispatcher thread. `check_access()` asserts this single-thread rule after the
first work pass records the dispatcher thread ID.
### 6. Final assignment and visibility
The queued callback captures a copy of `MDProducerHandle` and calls
`handle.set_key(id)` on the dispatcher thread. `set_key()` writes hot, then cold,
then increments `security_count`. From this point:
- shared-memory scans report the security;
- `CMESecurityIndex::get_key(CME_ID)` returns the Spark key;
- trades and RFQs can be emitted with a non-zero key;
- resolved spreads can copy this key into their leg structures.
### 7. Sunday preload is a fast path
For configured symbols on Sunday, `MDP3Main::prepare_listener()` loads stored
definitions from `securities.sqlite`. It converts them with
`set_security_key=true`, so both the security key and spread leg keys come from
the serialized API security. `MDProducer::add_security()` calls `set_key()`
immediately, and no recorder lookup is required for that preloaded handle. The
CME exchange ID is still restored into `numeric_id`, allowing the normal CME
index to be built.
## Generalized/newer pipeline in detail
### 1. Topology and ownership
`Run::run()` starts a detached thread named `MarketDataGateway`. On that thread,
`run_md_gwy()` obtains the process-wide `IDGenerator`, constructs
`MarketDataGateway`, and starts the configured providers. For each `(venue,
source)` returned by a provider, the gateway creates an `MdSink` containing:
- a venue-local `GeneralSecurityIndex`;
- a default `MDProducer` (not wired to a `SecurityIDRecorder`); and
- a `GeneralMarketDataListener` connecting the source to that producer/index.
The source decides its callback thread. Some sources call the listener while
starting; others own network or replay threads. The generalized listener calls
the producer inline on that source thread. The process-wide `IDGenerator`
serializes its own calls with a mutex, but the listener's transient
`cc_sec_id_map` is an ordinary `unordered_map`, so each source/listener pair is
expected to serialize security/event callbacks.
| Generalized stage | Executing thread | DB call? |
|---|---|---|
| Build/parse domain definition | Source/adaptor thread | No |
| `IDGenerator::get_or_add()` | Same source/adaptor thread | Yes, synchronously |
| `GeneralMarketDataListener::on_securities()` | Same source callback thread | No in current use-given mode |
| Copy ID to `FixedSecurity::key` and `numeric_id` | Same source callback thread | No |
| `MDProducer::add_security()` / `set_key()` | Same source callback thread | No additional call |
| Add `GeneralSecurityIndex` entry | Same source callback thread | No |
There are two important compatibility exceptions inside the provider framework:
- `OnixsGlbxSubscription::start()` ignores the supplied generalized listener
and starts `MDP3Main`; CME/OnixS therefore still follows the asynchronous
legacy flow documented above.
- `EmumbaDeribitSubscription::start()` also ignores that listener and uses
`EmMDListener`, which allocates via `IDGenerator` and writes through its own
producer/index. Its assignment is still synchronous and pre-populated, so it
resembles the newer ID flow even though it does not pass through
`GeneralMarketDataListener`.
### 2. How a new ID is constructed
For a normal live generalized adapter, ID creation happens **in the adapter,
before** `GeneralMarketDataListener::on_securities()`:
```text
logical identity = (domain venue, domain security type, adapter-chosen name)
Spark ID = SQLite rowid for that identity in key_ids.sqlite
```
`IDGenerator::get_or_add(venue, type, name)` formats a namespace by stripping
the enum prefixes:
```text
VENUE_TAIFEX + SECURITY_TYPE_FUTURE -> TAIFEX.FUTURE
```
It then calls `retrieve_one(ns, name)`. If the row exists, it returns that
row's `rowid`. If absent, it inserts `(ns, name, "")`, and SQLite assigns the
next rowid. That integer is wrapped in `domain::SecurityID` and placed in
`SecurityCommon::id`.
The third identity component is adapter-specific, and this matters when trying
to reproduce a mapping:
| Source/adaptor family | Typical `name` sent to `IDGenerator` |
|---|---|
| Binance, Coinbase, Deribit, OKX and similar native/CCAPI paths | Usually `sec.desc()` / exchange instrument name |
| Taifex | product/instrument ID string |
| Databento | `std::to_string(msg.hd.instrument_id)`, not the human-readable description |
| Python bridge | `exchange_security_id` (and it asserts Python supplied ID is zero for definitions) |
| Emumba Deribit | extracted Emumba security descriptor |
| Replay | no new allocation for a recorded definition; it reuses the recorded `SecurityCommon::id` |
So “security name” alone is not a universal logical key. Reproduction requires
the exact venue enum, exact security-type enum, and the exact adapter-specific
name used at insertion time.
### 3. What `GeneralMarketDataListener` does with that ID
`on_securities()` first calls `_find_sec(sec, true)`. Its current, compile-time
behavior is controlled by:
```cpp
const bool use_given_sec_key = true;
```
Consequently, for a newly seen incoming `domain::SecurityID` it does **not**
call the DB. It copies `security_common.id.value()` into its transient
`cc_sec_id_map`. `_add_future()`, `_add_option()`, `_add_spread()`, or
`_add_spot()` then calls `_copy_security_common()`, which sets:
```cpp
to.key = incoming_id;
to.numeric_id = incoming_id;
```
This collapses the generalized source/correlation ID and Spark shared-memory
key into the same number. The source's text `exchange_sec_id` remains on the
domain security but is not copied into `FixedSecurity::numeric_id` by this
path.
`_commit_security()` then:
1. calls `MDProducer::add_security()` with an already non-zero key;
2. causes `MDProducerHandle::set_key()` to run immediately during that call;
3. inserts the handle in `GeneralSecurityIndex` under `numeric_id` (the same
number); and
4. returns with the security already visible in shared memory.
Because the sink's producer has no recorder, supplying `id == 0` would allocate
the shared-memory entry but never assign or publish its key. Generalized live
sources must therefore provide a valid non-zero ID before `on_securities()`.
The listener contains an alternative branch for `use_given_sec_key == false`.
That branch would call `IDGenerator::get_or_add(me->venue, sec.type(),
sec.desc())` itself. It is currently disabled, and `_generate_security_key()` is
also effectively unused. Turning the flag off is not a mechanical change: an
adapter such as Databento allocates using numeric instrument ID while the
listener branch would use `sec.desc()`, potentially creating a second key for
the same instrument.
There is also a spread failure edge case. `_find_sec(sec, true)` records the
parent ID in `cc_sec_id_map` before `_add_spread()` resolves its legs. If any leg
ID is absent, `_add_spread()` logs and returns without committing the spread. A
later repeat of the parent definition is then classified as a duplicate and
ignored, so definition ordering is a hard requirement in the current code.
### 4. How later books, trades, and statistics find the security
Every later domain event carries a `domain::SecurityID`:
- `Book::security_id()`;
- `TradeRecord::sec_id`; or
- `SecurityMarketDataStatistics::security_id`.
The listener first uses `cc_sec_id_map` to translate that event ID to the value
stored in `GeneralSecurityIndex`, then obtains the `MDProducerHandle`. With
`use_given_sec_key == true`, this mapping is numerically identity-to-identity,
but it still serves as the admission check that the definition was seen.
Most high-throughput adapters avoid SQLite on market-data events:
- Databento allocates on the definition and caches
`instrument_id -> domain::SecurityID` in `sec_id_map` for books/trades.
- Taifex keeps the resolved ID in its security-details mapper.
- Other native subscriptions maintain comparable descriptor/ID maps.
The Python bridge is a notable exception: `to_bts_security_()`,
`to_bts_trade_()`, and `to_book_()` all call `get_sec_id_()`, which calls
`IDGenerator::get_id(..., add_if_new=true)`. As written, that performs at least
one SQLite `SELECT` for each converted Python definition, trade, or book. It
returns the existing ID after the first insert, but it is still a DB call and
takes the global `IDGenerator` mutex on every event.
### 5. Persistence timing and latency
The newer allocator is synchronous:
- Existing security: mutex acquisition plus one SQLite `SELECT` on the caller's
thread.
- New security: mutex acquisition, one `SELECT`, then one SQLite `INSERT`
(SQLite autocommit), also on the caller's thread.
- Listener publication: no further DB call under the current
`use_given_sec_key` setting.
The ID therefore exists in `key_ids.sqlite` before the adapter sends the
definition to the listener. There is no intentional 200 ms publication delay,
but the source callback/startup path directly pays DB and mutex latency. Bulk
definition discovery performs one lookup and possibly one insert per security;
`IDGenerator` does not batch those operations.
WAL mode helps concurrency, while `synchronous=0` reduces fsync cost. It does
not eliminate SQL parsing/stepping, mutex contention, page-cache misses, or
occasional file-system work. The impact is usually a startup/definition cost
when adapters cache the result, but it becomes hot-path latency for code such as
the current Python bridge that resolves every event through the DB.
`GeneralMarketDataListener` itself does not persist the full contract definition
to `securities.sqlite`; that remains the separate security-cache/metadata
persistence path described earlier.
## Comparison: MDP3 recorder vs generalized allocator
| Property | MDP3 / `SecurityIDRecorder` | Generalized / `IDGenerator` |
|---|---|---|
| Logical input | venue + type + legacy `security_desc` | venue + type + adapter-chosen name |
| Numeric output | SQLite rowid, checked/read as 32-bit `security_key` | SQLite rowid returned as 64-bit `domain::SecurityID`, then narrowed into 32-bit shared-memory key |
| Allocation point | After definition is copied to shared memory | Normally inside adapter before listener sees definition |
| DB execution | Asynchronous on dispatcher timer | Synchronous on caller/source thread |
| Existing ID cost | One deferred `SELECT` | One immediate `SELECT` per call |
| New ID cost | Deferred, batched transaction (about 200/pass) | Immediate `SELECT` + individual autocommit `INSERT` |
| Time until public | Usually 0–200+ ms; spreads may take extra ticks | Immediate after synchronous lookup/insert completes |
| Feed callback blocking | Queue push only for ID work | Yes, if the adapter invokes `IDGenerator` there |
| Spread legs | Parent waits asynchronously until all leg keys resolve by exchange ID | Definition processing requires every leg's incoming ID already exist in `cc_sec_id_map`; otherwise the spread is aborted |
| Runtime ID relationship | Exchange ID and Spark key remain distinct | Incoming/canonical ID, `numeric_id`, index ID, and Spark key are currently the same number |
| Persistence database | `key_ids.sqlite` | The same `key_ids.sqlite` |
| Batching | Yes for new rows | No |
| Failure behavior | Security has an internal handle with key 0 while normal queued work is pending; DB work does not block the feed callback | DB errors/zero results occur in the synchronous source path; a zero ID can leave an unpublishable entry, with no pending-key state machine |
Neither algorithm generates a UUID or a content hash. Both ultimately use an
opaque, database-assigned SQLite rowid. It is normally increasing and looks like
a sequence, but this schema does not request SQLite `AUTOINCREMENT`. The tuple
used to *look up* the row is logical; the resulting number is not derivable from
that tuple.
## Can another system reconstruct the same keys?
Not from `(venue, type, name)` alone. Another system can reconstruct the
**logical lookup tuple**, but it cannot calculate the numeric Spark key because
the key depends on the historical insertion order of every row in
`key_ids.sqlite`.
For example, two empty systems can insert the exact same `GLBX.FUTURE / ESZ6`
row and receive different IDs if other securities were inserted before it on
one system. They are sequential opaque IDs, not deterministic hashes and not
UUIDs.
Ways to preserve cross-system identity are:
1. Copy/replicate `key_ids.sqlite` (including rowids) and keep descriptor rules
identical. This preserves existing numeric keys but requires coordinated
allocation for new ones.
2. Export an explicit mapping of `(namespace, adapter key) -> Spark key`, then
import rows with their original rowids before either system allocates new
securities.
3. Treat a stable external identity (venue + type + exchange instrument ID, or
another canonical instrument identifier) as the cross-system key and carry a
translation table to each system's local Spark key.
4. Introduce a deterministic ID scheme only as a versioned migration. A hash can
be computed independently, but collision handling, descriptor
canonicalization, aliases/renames, the existing 32-bit ABI, and compatibility
with orders/recordings/databases all need explicit design.
Copying only `securities.sqlite` is insufficient as an allocator strategy. It
contains security blobs keyed by already-assigned IDs, but `key_ids.sqlite` is
the mapping used to find or allocate those IDs. Conversely, copying only
`key_ids.sqlite` preserves the numbers but not all contract metadata.
## Other assignment paths in `sparkd`
The two main pipelines reduce to four ways a producer handle can acquire a key:
1. **Already keyed input.** `MDProducer::add_security()` sees a non-zero
`FixedSecurity::key` and calls `set_key()` immediately. Generalized feeds,
Sunday preload, relay playback, and other replay paths use this mechanism.
2. **Recorder-backed live input.** The input key is zero and the producer owns a
`SecurityIDRecorder`; `ensure_key()` queues asynchronous assignment. CME
MDP3 and legacy OnixS ICE use this mechanism. ICE uses `marketId` as
`numeric_id` and otherwise follows the same recorder/index design.
3. **Service assignment.** `SyntheticSecurityService` calls
`SecurityIDRecorder::assign_key()` directly on a background dispatcher. The
callback receives a copied `api::Security` with its top-level `id` set, then
publishes it to synthetic subscribers. It uses the same `key_ids.sqlite`
rowid allocator.
4. **Unkeyed input with no recorder.** The entry is allocated with key zero and
never becomes public. This is not a valid production assignment path, but it
is the failure mode if a generalized source omits its ID.
Relay and replay deserve care when reasoning about persistence:
- The generalized `MDReplayer` forwards the recorded domain security ID and
emits later books/statistics with the recorded `sec_key`, so the listener's
current use-given mode preserves the recording's numeric identity.
- The legacy relay producer converts a recorded `api::Security` with
`set_security_key=true`, so its shared-memory publication also preserves the
embedded key.
- The legacy relay recorder additionally calls `bulk_insert(..., "REPLAY: ")`
for logical mappings. Those rows use a `REPLAY: ` namespace prefix; this is a
separate mapping population step, not a deterministic derivation of the key.
## Operational implications
- Back up `key_ids.sqlite` and `securities.sqlite` together if numeric ID and
definition continuity matter.
- Do not delete/rebuild `key_ids.sqlite` on one host and assume IDs will match
another host, even when all instruments are identical.
- Before moving a feed between adapters, compare the exact `name` each adapter
supplies to `IDGenerator`. Matching venue/type is insufficient.
- Cache generated IDs in the source after definition processing. Avoid calling
`IDGenerator` from book/trade hot paths; the Python bridge currently violates
this guideline.
- Keep generated rowids below the 32-bit shared-memory ceiling until the
`security_key` ABI is widened or explicit bounds checking is added to the
generalized path.
- Ensure spread legs are announced before generalized spread parents.
- Treat `synchronous=0` as a durability decision. A copied DB should be taken
with SQLite-aware backup/checkpoint handling rather than by casually copying
active WAL files.
Useful inspection queries (run against the configured DB path) are:
```sql
SELECT rowid AS spark_key, ns, key
FROM store
ORDER BY rowid;
SELECT rowid AS spark_key, ns, key
FROM store
WHERE ns = 'GLBX.FUTURE' AND key = '<exact-adapter-key>';
```
## Source map
- [`SecurityIDRecorder.cpp`](../src/lib_spark/spark/md/SecurityIDRecorder.cpp):
legacy queues, 200 ms work ordering, logical row construction, DB callbacks,
and spread-leg resolution.
- [`IDGenerator.cpp`](../src/lib_spark/spark/persistence/IDGenerator.cpp):
synchronous generalized lookup/allocation and process-wide mutex.
- [`SqliteStore.cpp`](../src/lib_spark/spark/persistence/SqliteStore.cpp): DB
location, schema, WAL/synchronous pragmas, individual inserts, and batch
inserts.
- [`MDProducer.cpp`](../src/lib_spark/spark/md/MDProducer.cpp) and
[`MDProducerHandle.cpp`](../src/lib_spark/spark/md/MDProducerHandle.cpp):
shared-memory allocation, recorder handoff, and ordered publication.
- [`FixedSecurity.h`](../src/lib_spark/spark/md/Shm/FixedSecurity.h) and
[`MDStructure.h`](../src/lib_spark/spark/md/Shm/MDStructure.h): identifier
widths and hot/cold storage fields.
- [`MDP3Main.cpp`](../src/app_sparkd/sparkd/md/platforms/mdp3_onixs/MDP3Main.cpp)
and
[`MDP3Listener.h`](../src/app_sparkd/sparkd/md/platforms/mdp3_onixs/MDP3Listener.h):
MDP3 construction, definition callbacks, CME ID extraction, and spread legs.
- [`MDP3Listener.cpp`](../src/app_sparkd/sparkd/md/platforms/mdp3_onixs/MDP3Listener.cpp):
producer/index insertion order.
- [`OnixsGlbxSubscription.cpp`](../src/app_sparkd/sparkd/md/glbx/OnixsGlbxSubscription.cpp):
current dedicated MDP3 dispatcher-thread ownership.
- [`MarketDataGateway.cpp`](../src/app_sparkd/sparkd/md/MarketDataGateway.cpp)
and
[`GeneralMarketDataListener.cpp`](../src/lib_spark/spark/md/GeneralMarketDataListener.cpp):
generalized source/sink topology, incoming-ID mapping, fixed-security
conversion, and publication.
- [`DatabentoDataHandler.cpp`](../src/app_sparkd/sparkd/md/databento/DatabentoDataHandler.cpp),
[`TaifexDataProcessors.h`](../src/app_sparkd/sparkd/md/taifex/TaifexDataProcessors.h),
and
[`PyMarketDataSubscription.cpp`](../src/app_sparkd/sparkd/md/PyMarketDataSubscription.cpp):
representative adapter-side allocation and caching behavior.
- [`SecurityDB.cpp`](../src/lib_spark/spark/md/SecurityDB.cpp) and
[`SecurityCache.cpp`](../src/lib_spark/spark/md/SecurityCache.cpp): separate
persistence of full security definitions.
- [`SecurityIndex.h`](../src/lib_spark/spark/md/SecurityIndex.h),
[`MBOServiceServer.cpp`](../src/lib_spark/spark/md/MBOServiceServer.cpp), and
[`MDConsumer.cpp`](../src/lib_spark/spark/md/MDConsumer.cpp): exchange-index
translation followed by Spark-keyed market-data consumption and MBO access.
- [`OrderFactory.cpp`](../src/lib_spark/spark/orderman/order_factory/OrderFactory.cpp),
[`FillStore.cpp`](../src/lib_spark/spark/orderman/actors/FillStore.cpp), and
[`PositionMap.cpp`](../src/app_sparkd/sparkd/position/PositionMap.cpp):
representative downstream use of Spark security keys.
- [`MDReplayer.cpp`](../src/app_sparkd/sparkd/md/recording/MDReplayer.cpp) and
[`RelayClient.cpp`](../src/lib_spark/spark/md/relay/RelayClient.cpp): recorded
ID reuse.
@@ -8,7 +8,6 @@ RUN apt-get update && apt-get install -y ca-certificates
RUN apt-get update && apt-get install -y libssh2-1-dev
RUN apt-get update && apt-get install -y software-properties-common
RUN apt-get update && apt-get install -y sudo
RUN apt-get update && apt-get install -y tzdata
# GCC
ARG gcc_major=13
@@ -19,11 +18,6 @@ RUN add-apt-repository ppa:ubuntu-toolchain-r/test \
RUN apt-get update \
&& apt-get install -y dotnet8
RUN apt-get update && apt-get install -y gdb
RUN apt-get update && apt-get install -y fish
RUN apt-get update && apt-get install -y vim
RUN apt-get update && apt-get install -y less
RUN locale-gen en_US.UTF-8
ARG docker_user="bts"
@@ -1,11 +0,0 @@
FROM ubuntu:24.04
ARG DEBIAN_FRONTEND=noninteractive
RUN apt-get update && apt-get install -y \
fish \
less \
vim
USER bts
WORKDIR /home/bts
+108
View File
@@ -49,6 +49,14 @@ Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "spark_test", "src\client\sp
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Spark.Console", "src\client\Spark.Console\Spark.Console.csproj", "{2B8243FF-60C6-4607-8AAE-7762D29B0A48}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Bts.Collections", "src\cs\Bts.Collections\Bts.Collections.csproj", "{00D21F82-61F4-467F-B125-268018A185E5}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Bts.Core", "src\cs\Bts.Core\Bts.Core.csproj", "{513A3F0D-46B5-4AC2-B700-8671933F6347}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Bts.Disposables", "src\cs\Bts.Disposables\Bts.Disposables.csproj", "{D419D996-9870-4FF5-82AD-08370D1C945F}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Bts.Numerics", "src\cs\Bts.Numerics\Bts.Numerics.csproj", "{697BC3A3-1A98-43D3-A6E8-BB39A05EA049}"
EndProject
Global
GlobalSection(SolutionConfigurationPlatforms) = preSolution
Debug|Any CPU = Debug|Any CPU
@@ -275,6 +283,102 @@ Global
{2B8243FF-60C6-4607-8AAE-7762D29B0A48}.Release|x64.Build.0 = Release|x64
{2B8243FF-60C6-4607-8AAE-7762D29B0A48}.Release|x86.ActiveCfg = Release|x64
{2B8243FF-60C6-4607-8AAE-7762D29B0A48}.Release|x86.Build.0 = Release|x64
{00D21F82-61F4-467F-B125-268018A185E5}.Debug|x64.ActiveCfg = Debug|Any CPU
{00D21F82-61F4-467F-B125-268018A185E5}.Debug|x64.Build.0 = Debug|Any CPU
{00D21F82-61F4-467F-B125-268018A185E5}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{00D21F82-61F4-467F-B125-268018A185E5}.Debug|Any CPU.Build.0 = Debug|Any CPU
{00D21F82-61F4-467F-B125-268018A185E5}.Debug|x86.ActiveCfg = Debug|Any CPU
{00D21F82-61F4-467F-B125-268018A185E5}.Debug|x86.Build.0 = Debug|Any CPU
{00D21F82-61F4-467F-B125-268018A185E5}.MinSizeRel|x64.ActiveCfg = Debug|Any CPU
{00D21F82-61F4-467F-B125-268018A185E5}.MinSizeRel|x64.Build.0 = Debug|Any CPU
{00D21F82-61F4-467F-B125-268018A185E5}.MinSizeRel|Any CPU.ActiveCfg = Debug|Any CPU
{00D21F82-61F4-467F-B125-268018A185E5}.MinSizeRel|Any CPU.Build.0 = Debug|Any CPU
{00D21F82-61F4-467F-B125-268018A185E5}.MinSizeRel|x86.ActiveCfg = Debug|Any CPU
{00D21F82-61F4-467F-B125-268018A185E5}.MinSizeRel|x86.Build.0 = Debug|Any CPU
{00D21F82-61F4-467F-B125-268018A185E5}.Release|x64.ActiveCfg = Release|Any CPU
{00D21F82-61F4-467F-B125-268018A185E5}.Release|x64.Build.0 = Release|Any CPU
{00D21F82-61F4-467F-B125-268018A185E5}.Release|Any CPU.ActiveCfg = Release|Any CPU
{00D21F82-61F4-467F-B125-268018A185E5}.Release|Any CPU.Build.0 = Release|Any CPU
{00D21F82-61F4-467F-B125-268018A185E5}.Release|x86.ActiveCfg = Release|Any CPU
{00D21F82-61F4-467F-B125-268018A185E5}.Release|x86.Build.0 = Release|Any CPU
{00D21F82-61F4-467F-B125-268018A185E5}.RelWithDebInfo|x64.ActiveCfg = Debug|Any CPU
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{00D21F82-61F4-467F-B125-268018A185E5}.RelWithDebInfo|Any CPU.ActiveCfg = Debug|Any CPU
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{513A3F0D-46B5-4AC2-B700-8671933F6347}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{513A3F0D-46B5-4AC2-B700-8671933F6347}.Debug|Any CPU.Build.0 = Debug|Any CPU
{513A3F0D-46B5-4AC2-B700-8671933F6347}.Debug|x86.ActiveCfg = Debug|Any CPU
{513A3F0D-46B5-4AC2-B700-8671933F6347}.Debug|x86.Build.0 = Debug|Any CPU
{513A3F0D-46B5-4AC2-B700-8671933F6347}.MinSizeRel|x64.ActiveCfg = Debug|Any CPU
{513A3F0D-46B5-4AC2-B700-8671933F6347}.MinSizeRel|x64.Build.0 = Debug|Any CPU
{513A3F0D-46B5-4AC2-B700-8671933F6347}.MinSizeRel|Any CPU.ActiveCfg = Debug|Any CPU
{513A3F0D-46B5-4AC2-B700-8671933F6347}.MinSizeRel|Any CPU.Build.0 = Debug|Any CPU
{513A3F0D-46B5-4AC2-B700-8671933F6347}.MinSizeRel|x86.ActiveCfg = Debug|Any CPU
{513A3F0D-46B5-4AC2-B700-8671933F6347}.MinSizeRel|x86.Build.0 = Debug|Any CPU
{513A3F0D-46B5-4AC2-B700-8671933F6347}.Release|x64.ActiveCfg = Release|Any CPU
{513A3F0D-46B5-4AC2-B700-8671933F6347}.Release|x64.Build.0 = Release|Any CPU
{513A3F0D-46B5-4AC2-B700-8671933F6347}.Release|Any CPU.ActiveCfg = Release|Any CPU
{513A3F0D-46B5-4AC2-B700-8671933F6347}.Release|Any CPU.Build.0 = Release|Any CPU
{513A3F0D-46B5-4AC2-B700-8671933F6347}.Release|x86.ActiveCfg = Release|Any CPU
{513A3F0D-46B5-4AC2-B700-8671933F6347}.Release|x86.Build.0 = Release|Any CPU
{513A3F0D-46B5-4AC2-B700-8671933F6347}.RelWithDebInfo|x64.ActiveCfg = Debug|Any CPU
{513A3F0D-46B5-4AC2-B700-8671933F6347}.RelWithDebInfo|x64.Build.0 = Debug|Any CPU
{513A3F0D-46B5-4AC2-B700-8671933F6347}.RelWithDebInfo|Any CPU.ActiveCfg = Debug|Any CPU
{513A3F0D-46B5-4AC2-B700-8671933F6347}.RelWithDebInfo|Any CPU.Build.0 = Debug|Any CPU
{513A3F0D-46B5-4AC2-B700-8671933F6347}.RelWithDebInfo|x86.ActiveCfg = Debug|Any CPU
{513A3F0D-46B5-4AC2-B700-8671933F6347}.RelWithDebInfo|x86.Build.0 = Debug|Any CPU
{D419D996-9870-4FF5-82AD-08370D1C945F}.Debug|x64.ActiveCfg = Debug|Any CPU
{D419D996-9870-4FF5-82AD-08370D1C945F}.Debug|x64.Build.0 = Debug|Any CPU
{D419D996-9870-4FF5-82AD-08370D1C945F}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{D419D996-9870-4FF5-82AD-08370D1C945F}.Debug|Any CPU.Build.0 = Debug|Any CPU
{D419D996-9870-4FF5-82AD-08370D1C945F}.Debug|x86.ActiveCfg = Debug|Any CPU
{D419D996-9870-4FF5-82AD-08370D1C945F}.Debug|x86.Build.0 = Debug|Any CPU
{D419D996-9870-4FF5-82AD-08370D1C945F}.MinSizeRel|x64.ActiveCfg = Debug|Any CPU
{D419D996-9870-4FF5-82AD-08370D1C945F}.MinSizeRel|x64.Build.0 = Debug|Any CPU
{D419D996-9870-4FF5-82AD-08370D1C945F}.MinSizeRel|Any CPU.ActiveCfg = Debug|Any CPU
{D419D996-9870-4FF5-82AD-08370D1C945F}.MinSizeRel|Any CPU.Build.0 = Debug|Any CPU
{D419D996-9870-4FF5-82AD-08370D1C945F}.MinSizeRel|x86.ActiveCfg = Debug|Any CPU
{D419D996-9870-4FF5-82AD-08370D1C945F}.MinSizeRel|x86.Build.0 = Debug|Any CPU
{D419D996-9870-4FF5-82AD-08370D1C945F}.Release|x64.ActiveCfg = Release|Any CPU
{D419D996-9870-4FF5-82AD-08370D1C945F}.Release|x64.Build.0 = Release|Any CPU
{D419D996-9870-4FF5-82AD-08370D1C945F}.Release|Any CPU.ActiveCfg = Release|Any CPU
{D419D996-9870-4FF5-82AD-08370D1C945F}.Release|Any CPU.Build.0 = Release|Any CPU
{D419D996-9870-4FF5-82AD-08370D1C945F}.Release|x86.ActiveCfg = Release|Any CPU
{D419D996-9870-4FF5-82AD-08370D1C945F}.Release|x86.Build.0 = Release|Any CPU
{D419D996-9870-4FF5-82AD-08370D1C945F}.RelWithDebInfo|x64.ActiveCfg = Debug|Any CPU
{D419D996-9870-4FF5-82AD-08370D1C945F}.RelWithDebInfo|x64.Build.0 = Debug|Any CPU
{D419D996-9870-4FF5-82AD-08370D1C945F}.RelWithDebInfo|Any CPU.ActiveCfg = Debug|Any CPU
{D419D996-9870-4FF5-82AD-08370D1C945F}.RelWithDebInfo|Any CPU.Build.0 = Debug|Any CPU
{D419D996-9870-4FF5-82AD-08370D1C945F}.RelWithDebInfo|x86.ActiveCfg = Debug|Any CPU
{D419D996-9870-4FF5-82AD-08370D1C945F}.RelWithDebInfo|x86.Build.0 = Debug|Any CPU
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{697BC3A3-1A98-43D3-A6E8-BB39A05EA049}.MinSizeRel|Any CPU.ActiveCfg = Debug|Any CPU
{697BC3A3-1A98-43D3-A6E8-BB39A05EA049}.MinSizeRel|Any CPU.Build.0 = Debug|Any CPU
{697BC3A3-1A98-43D3-A6E8-BB39A05EA049}.MinSizeRel|x86.ActiveCfg = Debug|Any CPU
{697BC3A3-1A98-43D3-A6E8-BB39A05EA049}.MinSizeRel|x86.Build.0 = Debug|Any CPU
{697BC3A3-1A98-43D3-A6E8-BB39A05EA049}.Release|x64.ActiveCfg = Release|Any CPU
{697BC3A3-1A98-43D3-A6E8-BB39A05EA049}.Release|x64.Build.0 = Release|Any CPU
{697BC3A3-1A98-43D3-A6E8-BB39A05EA049}.Release|Any CPU.ActiveCfg = Release|Any CPU
{697BC3A3-1A98-43D3-A6E8-BB39A05EA049}.Release|Any CPU.Build.0 = Release|Any CPU
{697BC3A3-1A98-43D3-A6E8-BB39A05EA049}.Release|x86.ActiveCfg = Release|Any CPU
{697BC3A3-1A98-43D3-A6E8-BB39A05EA049}.Release|x86.Build.0 = Release|Any CPU
{697BC3A3-1A98-43D3-A6E8-BB39A05EA049}.RelWithDebInfo|x64.ActiveCfg = Debug|Any CPU
{697BC3A3-1A98-43D3-A6E8-BB39A05EA049}.RelWithDebInfo|x64.Build.0 = Debug|Any CPU
{697BC3A3-1A98-43D3-A6E8-BB39A05EA049}.RelWithDebInfo|Any CPU.ActiveCfg = Debug|Any CPU
{697BC3A3-1A98-43D3-A6E8-BB39A05EA049}.RelWithDebInfo|Any CPU.Build.0 = Debug|Any CPU
{697BC3A3-1A98-43D3-A6E8-BB39A05EA049}.RelWithDebInfo|x86.ActiveCfg = Debug|Any CPU
{697BC3A3-1A98-43D3-A6E8-BB39A05EA049}.RelWithDebInfo|x86.Build.0 = Debug|Any CPU
EndGlobalSection
GlobalSection(SolutionProperties) = preSolution
HideSolutionNode = FALSE
@@ -302,5 +406,9 @@ Global
{D432F3E9-3D2F-4623-B7B9-CEBA6701FFC3} = {42C014A0-00C5-0620-8552-38912E891A7F}
{DD00F5D5-6C2F-4FDA-AE3D-25CF01A9A224} = {C5A3B5EA-BE9F-76E5-E9B8-8A22B289B295}
{2B8243FF-60C6-4607-8AAE-7762D29B0A48} = {C5A3B5EA-BE9F-76E5-E9B8-8A22B289B295}
{00D21F82-61F4-467F-B125-268018A185E5} = {D7C6B9C7-1058-B1EA-FEE6-34C56B05AEDB}
{513A3F0D-46B5-4AC2-B700-8671933F6347} = {D7C6B9C7-1058-B1EA-FEE6-34C56B05AEDB}
{D419D996-9870-4FF5-82AD-08370D1C945F} = {D7C6B9C7-1058-B1EA-FEE6-34C56B05AEDB}
{697BC3A3-1A98-43D3-A6E8-BB39A05EA049} = {D7C6B9C7-1058-B1EA-FEE6-34C56B05AEDB}
EndGlobalSection
EndGlobal
@@ -102,10 +102,10 @@ namespace BCG
List<ColumnInfo> col_info = new List<ColumnInfo>();
col_info.Add(new ColumnInfo("id", col_index++, typeof(int)));
foreach (Pair<string, Type> p in group_by_col_info)
col_info.Add(new ColumnInfo(p.first, col_index++, p.second));
col_info.Add(new ColumnInfo(p.first ?? string.Empty, col_index++, ExceptionAssert.NotNull(p.second)));
foreach (string tc_prefix in tc_prefixes)
foreach (Pair<string, Type> p in _cols_per_transposed)
col_info.Add(new ColumnInfo(_get_full_column_name(tc_prefix, p.first ?? string.Empty), col_index++, p.second));
col_info.Add(new ColumnInfo(_get_full_column_name(tc_prefix, p.first ?? string.Empty), col_index++, ExceptionAssert.NotNull(p.second)));
IBlueTableSchema schema = new BlueTableSchema(col_info.ToArray(), "xy_transposed_" + table_name);
if (_schema == null)
_schema = schema;
@@ -182,7 +182,7 @@ namespace BCG
if (_transpsed_col_value_comparer_wrapper != null)
tc_values.Sort(_transpsed_col_value_comparer_wrapper);
List<string> prefixes = new List<string>();
foreach (Pair<int, object[]> p in tc_values)
foreach (Pair<int, object?[]> p in tc_values)
prefixes.Add(tc_prefixes[p.first]);
_set_schema(prefixes, group_by_col_info, table_name);
BlueTable result = new BlueTable(_schema);
@@ -1,17 +1,17 @@
using Spark.Core.Diagnostics;
using System;
using System.Collections;
using System.Diagnostics.CodeAnalysis;
using System.Text;
using BCG;
using BCG.Utilities;
namespace BCG
{
public class ConcatenateColumnsMapper : IStreamMapper
{
protected IDictionary myTempColMap = new SortedList ();
protected ArrayList myColMap;
protected BlueTableSchema mySchema;
protected ArrayList? myColMap;
protected BlueTableSchema? mySchema;
public ConcatenateColumnsMapper(params string [] columnDefs)
{
@@ -55,11 +55,7 @@ namespace BCG
myColMap = new ArrayList (myTempColMap.Count);
foreach (DictionaryEntry de in myTempColMap)
{
string[] cols = de.Value as string[];
ArrayList temp = new ArrayList ();
foreach (string col in cols)
temp.Add (inputSchema[col].colNo);
myColMap.Add (temp.ToArray(typeof(int)) as int[]);
myColMap.Add(Array.ConvertAll((string[])de.Value!, c => inputSchema[c].colNo));
}
myTempColMap.Clear ();
}
@@ -72,6 +68,8 @@ namespace BCG
public virtual IBlueRow map (IBlueRow row)
{
requireSchema();
requireColMap();
object[] retVal = new object[mySchema.columnInfo.Length];
row.CopyTo (retVal, myColMap.Count);
for (int colNo = 0; colNo < myColMap.Count; colNo ++)
@@ -90,11 +88,21 @@ namespace BCG
/// <returns></returns>
protected virtual object myGetConcatValue (IBlueRow row, int colNo)
{
requireColMap();
StringBuilder b = new StringBuilder();
foreach (int cn in myColMap[colNo] as int[])
b.Append(row[cn].ToString());
foreach (int cn in (int[])myColMap[colNo]!) {
b.Append(row[cn]?.ToString());
}
return b.ToString ();
}
[MemberNotNull(nameof(myColMap))]
protected void requireColMap() =>
ExceptionAssert.NotNull(myColMap);
[MemberNotNull(nameof(mySchema))]
void requireSchema() =>
ExceptionAssert.NotNull(mySchema);
}
public class ConcatenateColumnsMapperForSameDataSet : ConcatenateColumnsMapper
@@ -107,23 +115,21 @@ namespace BCG
myDicts = new HashTableND [columnDefs.Length];
int i = 0;
foreach (DictionaryEntry de in myTempColMap)
myDicts[i++] = new HashTableND ((de.Value as string[]).Length);
myDicts[i++] = new HashTableND(((string[])de.Value!).Length);
}
protected override object myGetConcatValue (IBlueRow row, int colNo)
{
int[] cols = myColMap[colNo] as int[];
object[] vals = new object[cols.Length];
for (int i = 0; i < vals.Length; i++)
vals[i] = row[cols[i]];
requireColMap();
HashTableND ht = myDicts[colNo];
object rv = ht.getValue (vals);
var vals = Array.ConvertAll((int[])myColMap[colNo]!, c => row[c]);
var rv = ht.getValue(vals);
if (rv != null)
return rv;
else
{
rv = base.myGetConcatValue (row, colNo);
object[] args = new object[vals.Length + 1];
var args = new object?[vals.Length + 1];
vals.CopyTo (args, 0);
args[args.Length-1] = rv;
ht.add (args);
@@ -14,8 +14,10 @@ namespace BCG
public DistinctRowEvaluator(string colMapExpression, string[] columnNames)
: base (colMapExpression, null, columnNames) {}
public override IBlueRow? evaluate(IDataPacket packet) {
myOutputTable ??= new GroupByOutputTable(packet.Schema);
public override IBlueRow evaluate (DataPacket packet)
{
myOutputTable = myOutputTable == null ? new GroupByOutputTable (packet.schema) : myOutputTable;
string hashString = GroupByStream.getRepString (packet, myGroupByCols);
if (packet.newRows.Count == 0)
//if there are no rows for this group we remove the group from the output table
@@ -67,7 +67,7 @@ namespace BCG {
}
#endregion
public event FilterChangeDelegate onFilterChange;
public event FilterChangeDelegate? onFilterChange;
#region IStreamFilter
public bool filter(IBlueRow row) {
@@ -1,4 +1,4 @@
using System;
using Bts.DataStreamCore;
namespace BCG
{
@@ -10,8 +10,8 @@ namespace BCG
{
protected string[] myGroupByCols;
protected string myOutputColumn;
protected GroupByOutputTable myOutputTable;
protected string myColMapExpression;
protected GroupByOutputTable? myOutputTable;
protected string? myColMapExpression;
#region constructors
public GroupByEvaluator (string outputCol, string[] groupByCols)
@@ -42,7 +42,7 @@ namespace BCG
return retVal;
}
public abstract IBlueRow? evaluate(IDataPacket dp);
public abstract IBlueRow evaluate (DataPacket dp) ;
#endregion
#region Helper methods
@@ -52,21 +52,20 @@ namespace BCG
/// <param name="r"></param>
/// <param name="id"></param>
/// <returns></returns>
protected IBlueRow myProject (IBlueRow r, int id)
{
return r == null ? null :
myColMapExpression == null || myColMapExpression.Length < 1 ?
BlueDataUtility.getNewReplacedRow (r, id, "id") :
BlueDataUtility.getNewReplacedRow(myProjectRow (r, myColMapExpression),
id, "id");
}
protected IBlueRow? myProject(IBlueRow r, int id) =>
r is null
? null
: myColMapExpression is null || myColMapExpression.Length < 1
? BlueDataUtility.getNewReplacedRow(r, id, "id")
: BlueDataUtility.getNewReplacedRow(myProjectRow(r, myColMapExpression), id, "id");
/// <summary>
/// Projects the id, conserving the id
/// </summary>
/// <param name="r"></param>
/// <returns></returns>
protected IBlueRow myProject (IBlueRow r) {return myProject (r, r == null ? Int32.MinValue : (int)r["id"]);}
protected IBlueRow? myProject(IBlueRow r) =>
myProject(r, r is null ? int.MinValue : r.Id());
#endregion
IBlueRow myProjectRow (IBlueRow r, string colMapExpression) =>
@@ -1,5 +1,6 @@
using Bts.DataStreamCore;
using System;
using BCG.Utilities;
using System.Collections;
namespace BCG
@@ -22,10 +23,12 @@ namespace BCG
/// <param name="groupRepString"></param>
public void addRow (IBlueRow row, string groupRepString)
{
if (myDict[groupRepString] != null)
myTable.deleteRow ((IBlueRow)myDict[groupRepString]);
var grp = myDict[groupRepString];
if (grp is not null) {
myTable.deleteRow((IBlueRow)grp);
}
myTable.addRow (row);
myDict[groupRepString] = myTable[(int)row["id"]];
myDict[groupRepString] = myTable[row.Id()];
}
/// <summary>
@@ -35,7 +38,7 @@ namespace BCG
public void removeRow (string groupRepString)
{
// BlueEventLog.logAssert (myDict[groupRepString] != null);
myTable.deleteRow ((IBlueRow)myDict[groupRepString]);
myTable.deleteRow ((IBlueRow)myDict[groupRepString]!);
myDict.Remove (groupRepString);
}
@@ -48,11 +51,8 @@ namespace BCG
myDict.Clear ();
}
public IBlueRow getRow (string groupRepString)
{
return myDict[groupRepString] == null ? null :
myDict[groupRepString] as IBlueRow;
}
public IBlueRow? getRow(string groupRepString) =>
myDict[groupRepString] as IBlueRow;
#region IBlueRowCollection members
public IBlueRow this[int id] {get{return myTable[id];}}
@@ -1,20 +1,21 @@
using Spark.Core.Diagnostics;
using System;
using System.Collections;
using BCG.Utilities;
using System.Collections.Generic;
using System.Diagnostics.CodeAnalysis;
using System.Linq;
namespace BCG {
internal class GroupByStream : MethodDrivenStream {
private class MyFuncGroupByEvaluator : IGroupByEvaluator {
private string[] _groupby_cols;
readonly Func<IDataPacket, IBlueRow> _groupby_func;
public MyFuncGroupByEvaluator(IEnumerable<string> groupby_cols, Func<IDataPacket, IBlueRow> groupby_func) {
private Func<DataPacket, IBlueRow> _groupby_func;
public MyFuncGroupByEvaluator(IEnumerable<string> groupby_cols, Func<DataPacket, IBlueRow> groupby_func) {
_groupby_cols = groupby_cols.ToArray();
_groupby_func = groupby_func;
}
public IBlueRow evaluate(IDataPacket packet) =>
_groupby_func(packet);
public IBlueRow evaluate(DataPacket packet) { return _groupby_func(packet); }
public string[] groupByColumns { get { return _groupby_cols; } }
@@ -26,14 +27,15 @@ namespace BCG {
/// Serves as a quick way to access all rows belonging to the same group
/// </summary>
private bool myIdGuard = true;
private RowDictionaryTable myBookKeepingTable;
RowDictionaryTable? myBookKeepingTable;
private IGroupByEvaluator myGroupByEvaluator;
private IBlueTableSchema mySchema; //input schema, as output schema can differ (IGroupByEvaluator's
// input schema, as output schema can differ (IGroupByEvaluator's
IBlueTableSchema? mySchema;
//can map a schema to another
private IBlueTableSchema myOutputSchema;
IBlueTableSchema? myOutputSchema;
private int myIdGenerator = 0;
public GroupByStream(ViewStream stream, IEnumerable<string> groupby_cols, Func<IDataPacket, IBlueRow> groupby_func)
public GroupByStream(ViewStream stream, IEnumerable<string> groupby_cols, Func<DataPacket, IBlueRow> groupby_func)
: this(stream, new MyFuncGroupByEvaluator(groupby_cols, groupby_func)) { }
public GroupByStream(ViewStream stream, IGroupByEvaluator groupByEvaluator)
@@ -46,14 +48,14 @@ namespace BCG {
}
protected override void myHandleFirstCall() {
requireLastArrivedPacket();
mySchema = myLastArrivedPacket.schema;
myOutputSchema = myGroupByEvaluator.getOutputSchema(mySchema);
myBookKeepingTable = new RowDictionaryTable(myLastArrivedPacket.newRows,
myGroupByEvaluator.groupByColumns);
GroupByOutputTable temp = new GroupByOutputTable(myOutputSchema);
foreach (IBlueRowCollection rowGroup in myBookKeepingTable.getGroups()) {
IBlueRow newRow = myEvaluate(new DataPacket(rowGroup,
rowGroup, new BlueTable(mySchema)));
var newRow = myEvaluate(new DataPacket(rowGroup, rowGroup, new BlueTable(mySchema)));
if (newRow != null)
temp.addRow(newRow, myGetGroupString(rowGroup));
}
@@ -79,15 +81,14 @@ namespace BCG {
ArrayList handledAddGroups = new ArrayList();
string groupRepString;
requireBookKeeping();
foreach (IBlueRowCollection delGroup in delGroups.getGroups()) {
// BlueEventLog.logAssert (delGroup.Count > 0);
groupRepString = myGetGroupString(delGroup);
IBlueRowCollection addGroup = addGroups.getGroup(groupRepString) == null ?
new BlueTable(mySchema) : addGroups.getGroup(groupRepString);
IBlueRowCollection addGroup = addGroups.getGroup(groupRepString) ?? new BlueTable(mySchema);
handledAddGroups.Add(addGroup);
IBlueRowCollection aggGroup = myBookKeepingTable.getGroup(groupRepString) == null ?
new BlueTable(mySchema) : myBookKeepingTable.getGroup(groupRepString);
IBlueRow newRow = myEvaluate(new DataPacket(aggGroup, addGroup, delGroup));
IBlueRowCollection aggGroup = myBookKeepingTable.getGroup(groupRepString) ?? new BlueTable(mySchema);
var newRow = myEvaluate(new DataPacket(aggGroup, addGroup, delGroup));
myFireSwitch |= myMergeRow(newRow, groupRepString);
}
@@ -99,16 +100,16 @@ namespace BCG {
//the loop above
groupRepString = myGetGroupString(addGroup);
IBlueRowCollection aggGroup = myBookKeepingTable.getGroup(groupRepString);
var aggGroup = ExceptionAssert.NotNull(myBookKeepingTable.getGroup(groupRepString));
// BlueEventLog.logAssert (aggGroup != null && aggGroup.Count > 0);
IBlueRow newRow = myEvaluate(new DataPacket(aggGroup, addGroup,
new BlueTable(aggGroup.schema)));
var newRow = myEvaluate(new DataPacket(aggGroup, addGroup, new BlueTable(aggGroup.schema)));
myFireSwitch |= myMergeRow(newRow, groupRepString);
}
}
}
private bool myMergeRow(IBlueRow newRow, string groupRepString) {
private bool myMergeRow(IBlueRow? newRow, string groupRepString) {
requireLastFiredPacket();
IBlueRow existingRow = ((GroupByOutputTable)myLastFiredPacket.newRows).getRow(groupRepString);
//BlueEventLog.logAssert (newRow != null || existingRow != null);
if (existingRow == null && newRow == null)
@@ -116,6 +117,7 @@ namespace BCG {
else if (existingRow != null && newRow != null && BlueDataUtility.compute_equality(existingRow, newRow))
return false;
else if (existingRow == null) {
ArgumentNullException.ThrowIfNull(newRow);
//row added for the first time
((GroupByOutputTable)myLastFiredPacket.newRows).addRow(newRow, groupRepString);
((BlueTable)myLastFiredPacket.addedRows).addRow(newRow);
@@ -138,6 +140,9 @@ namespace BCG {
/// <param name="delGroups"></param>
/// <param name="addGroups"></param>
private void myInitIncrementalChangeData(out RowDictionaryTable delGroups, out RowDictionaryTable addGroups) {
ExceptionAssert.NotNull(myBookKeepingTable);
requireLastFiredPacket();
requireLastArrivedPacket();
delGroups =
new RowDictionaryTable(myLastArrivedPacket.deletedRows, myGroupByEvaluator.groupByColumns);
addGroups =
@@ -151,16 +156,19 @@ namespace BCG {
}
protected override void myOnTableClear() {
if (myBookKeepingTable.Count == 0)
return; //ie there arent any rows, so no need to optimize the 'cleansing' process
if (ExceptionAssert.NotNull(myBookKeepingTable).Count == 0) {
// ie there arent any rows, so no need to optimize the 'cleansing' process
return;
}
requireLastFiredPacket();
myLastFiredPacket.deletedRows = new BlueTable(myLastFiredPacket.newRows);
myLastFiredPacket.addedRows = new BlueTable(myLastFiredPacket.deletedRows.schema);
(myLastFiredPacket.newRows as GroupByOutputTable).clear();
((GroupByOutputTable)myLastFiredPacket.newRows).clear();
myBookKeepingTable.clear();
myGroupByEvaluator.clear();
}
private IBlueRow myEvaluate(DataPacket dp) {
private IBlueRow? myEvaluate(DataPacket dp) {
IBlueRow evalRow = myGroupByEvaluator.evaluate(dp);
return evalRow == null ? null :
myIdGuard ?
@@ -188,11 +196,11 @@ namespace BCG {
}
}
public static string getRepString(IDataPacket dp, string[] colNames) {
public static string getRepString(DataPacket dp, string[] colNames) {
return BlueDataUtility.rowToString(getRepRow(dp), colNames);
}
public static IBlueRow getRepRow(IDataPacket dp) {
public static IBlueRow? getRepRow(DataPacket dp) {
if (dp.newRows.Count > 0)
return BlueDataUtility.extractRow(dp.newRows, 0);
else if (dp.addedRows.Count > 0)
@@ -211,13 +219,13 @@ namespace BCG {
/// <param name="newValue"></param>
/// <param name="isAdd"></param>
/// <returns></returns>
public static object incrementalAdd(object lastValue, object newValue, bool isAdd) {
public static object? incrementalAdd(object lastValue, object newValue, bool isAdd) {
if (lastValue == null || lastValue.Equals(DBNull.Value))
return newValue;
// BlueEventLog.logAssert (lastValue.GetType().Equals (typeof(Int32)) && newValue.GetType().Equals (typeof(Int32)) ||
// lastValue.GetType().Equals (typeof(Double)) && newValue.GetType().Equals (typeof(Double)) ||
// lastValue.GetType().Equals (typeof(Decimal)) && newValue.GetType().Equals (typeof(Decimal)));
Object retVal = null;
object? retVal = null;
if (newValue.GetType().Equals(typeof(int)))
retVal = isAdd ? (int)lastValue + (int)newValue : (int)lastValue - (int)newValue;
else if (newValue.GetType().Equals(typeof(Double)))
@@ -229,6 +237,9 @@ namespace BCG {
return retVal;
}
[MemberNotNull(nameof(myBookKeepingTable))]
void requireBookKeeping() =>
ExceptionAssert.NotNull(myBookKeepingTable);
}
}
@@ -1,3 +1,5 @@
using System;
namespace BCG
{
/// <summary>
@@ -12,7 +14,7 @@ namespace BCG
/// deletetion) and the added and deletedRows being the increments. If a group has
/// to be totally removed then a null should be returned
/// </summary>
IBlueRow? evaluate(IDataPacket packet);
IBlueRow evaluate (DataPacket packet);
/// <summary>
/// Returns the columns (belonging to the original schema) on which this IGroupByEvaluator
@@ -14,8 +14,9 @@ namespace BCG {
public MaxGroupByEvaluator(string colMapEpression, string outputCol, string[] groupByCols)
: base(colMapEpression, outputCol, groupByCols) { }
public override IBlueRow? evaluate(IDataPacket dp) {
myOutputTable ??= new GroupByOutputTable(dp.Schema);
public override IBlueRow evaluate(DataPacket dp) {
myOutputTable = myOutputTable == null ? new GroupByOutputTable(dp.schema) :
myOutputTable;
string hashString = BlueDataUtility.rowToString(GroupByStream.getRepRow(dp), myGroupByCols);
IBlueRow currMaxRow = myOutputTable.getRow(hashString);
IBlueRow maxRow = BlueDataUtility.computeMaxRow(dp.deletedRows, myOutputColumn);
@@ -1,10 +1,9 @@
using System;
using System.Collections;
using BCG.Utilities;
using System.IO;
namespace BCG
{
using Spark.Core.Diagnostics;
using System.Diagnostics.CodeAnalysis;
/// <summary>
/// Some basic event handling functionality factorred out of any Stream whose behaviour
/// is driven by some interface passed on by the user
@@ -12,8 +11,8 @@ namespace BCG
public abstract class MethodDrivenStream : ViewStream
{
protected ViewStream myStream;
protected DataPacket myLastArrivedPacket;
protected DataPacket myLastFiredPacket;
protected DataPacket? myLastArrivedPacket;
protected DataPacket? myLastFiredPacket;
protected bool myFireSwitch = true;
public MethodDrivenStream(ViewStream vs) {myStream = vs;}
@@ -59,6 +58,7 @@ namespace BCG
/// To handle the first call, the LastFiredPacket is supposed to be initialized and filled
/// with data.
/// </summary>
[MemberNotNull(nameof(myLastFiredPacket))]
protected abstract void myHandleFirstCall ();
/// <summary>
@@ -89,5 +89,13 @@ namespace BCG
{
myStream.onChange -= new DataStream.ChangeDelegate (myChangeHandler);
}
[MemberNotNull(nameof(myLastArrivedPacket))]
protected void requireLastArrivedPacket() =>
ExceptionAssert.NotNull(myLastArrivedPacket);
[MemberNotNull(nameof(myLastFiredPacket))]
protected void requireLastFiredPacket() =>
ExceptionAssert.NotNull(myLastFiredPacket);
}
}
@@ -1,3 +1,7 @@
using System;
using BCG.Utilities;
namespace BCG {
public class MinGroupByEvaluator : MaxGroupByEvaluator {
public MinGroupByEvaluator(string outputCol, string[] groupByCols)
@@ -6,8 +10,8 @@ namespace BCG {
public MinGroupByEvaluator(string colMapEpression, string outputCol, string[] groupByCols) :
base(colMapEpression, outputCol, groupByCols) { }
public override IBlueRow? evaluate(IDataPacket dp) {
myOutputTable ??= new GroupByOutputTable(dp.Schema);
public override IBlueRow evaluate(DataPacket dp) {
myOutputTable = myOutputTable == null ? new GroupByOutputTable(dp.schema) : myOutputTable;
string stringRep = BlueDataUtility.rowToString(GroupByStream.getRepRow(dp), myGroupByCols);
IBlueRow currMinRow = myOutputTable.getRow(stringRep);
IBlueRow minRow = BlueDataUtility.computeMinRow(dp.deletedRows, myOutputColumn);
@@ -1,3 +1,5 @@
using System;
namespace BCG {
/// <summary>
/// Computes the sum for a given column
@@ -8,8 +10,8 @@ namespace BCG {
public SumGroupByEvaluator(string colMapEpression, string outputCol, string[] groupByCols)
: base(colMapEpression, outputCol, groupByCols) { }
public override IBlueRow evaluate(IDataPacket dp) {
myOutputTable ??= new GroupByOutputTable(dp.Schema);
public override IBlueRow evaluate(DataPacket dp) {
myOutputTable = myOutputTable == null ? new GroupByOutputTable(dp.schema) : myOutputTable;
IBlueRow sumRow = BlueDataUtility.computeSum(dp.newRows, myOutputColumn);
return sumRow;
@@ -31,7 +33,7 @@ namespace BCG {
#region IGroupByEvaluator Members
public IBlueRow evaluate(IDataPacket packet) => BlueDataUtility.computeSum(packet.newRows, myOutputCols);
public IBlueRow evaluate(DataPacket packet) { return BlueDataUtility.computeSum(packet.newRows, myOutputCols); }
public string[] groupByColumns { get { return myGroupByCols; } }
@@ -49,8 +51,9 @@ namespace BCG {
public SumGroupByEvaluator(string colMapEpression, string outputCol, string[] groupByCols)
: base(colMapEpression, outputCol, groupByCols) { }
public override IBlueRow evaluate(IDataPacket dp) {
myOutputTable ??= new GroupByOutputTable(dp.Schema);
public override IBlueRow evaluate(DataPacket dp) {
myOutputTable = myOutputTable == null ? new GroupByOutputTable(dp.schema) : myOutputTable;
IBlueRow sumRow = BlueDataUtility.computeSum<T>(dp.newRows, myOutputColumn);
return sumRow;
}
@@ -65,7 +68,7 @@ namespace BCG {
#region IGroupByEvaluator Members
public IBlueRow evaluate(IDataPacket packet) => BlueDataUtility.computeSum<T>(packet.newRows, myOutputCols);
public IBlueRow evaluate(DataPacket packet) { return BlueDataUtility.computeSum<T>(packet.newRows, myOutputCols); }
public string[] groupByColumns { get { return myGroupByCols; } }
@@ -1,5 +1,7 @@
using mbts;
using Spark.Core.Diagnostics;
using System;
using System.Collections.Generic;
@@ -35,7 +37,7 @@ namespace BCG {
List<NonIncJoinSpec> rv = new List<NonIncJoinSpec>();
foreach (Triplet<ViewStream, string, string> r in join_specs) {
string[] keys = String.IsNullOrEmpty(r.second) ? new string[] { } : r.second.Split(' ');
string[] visible_cols = r.third.Split(' ');
string[] visible_cols = ExceptionAssert.NotNull(r.third).Split(' ');
List<string> data_col_names = new List<string>(), mapped_col_names = new List<string>();
foreach (string s in visible_cols) {
string[] toks = s.Split(':');
@@ -47,7 +49,7 @@ namespace BCG {
mapped_col_names.Add(toks[1]);
}
}
rv.Add(new NonIncJoinSpec(r.first, keys, data_col_names.ToArray(), mapped_col_names.ToArray()));
rv.Add(new(ExceptionAssert.NotNull(r.first), keys, data_col_names.ToArray(), mapped_col_names.ToArray()));
}
return rv.ToArray();
}
@@ -290,6 +290,7 @@ namespace BCG
}
}
}
ExceptionAssert.NotNull(myState);
}
private void myAddRows(IBlueRowCollection addedRows, bool isLeft, BlueTable state, BlueTable addedRowsOut)
@@ -1,3 +1,5 @@
using Spark.Core.Diagnostics;
using System;
namespace BCG
@@ -18,16 +20,21 @@ namespace BCG
public override void onTableClear (bool isLeft)
{
requireSchema();
requireLastFiredPacket();
myLastFiredPacket.deletedRows = myLastFiredPacket.newRows;
myLastFiredPacket.newRows = new JoinForeignTable (mySchema);
myLastFiredPacket.addedRows = new BlueTable (mySchema);
if (!isLeft)
if (!isLeft) {
ExceptionAssert.NotNull(myLeftDataPacket);
foreach (IBlueRow row in myLeftDataPacket.newRows)
((JoinTable)myLastFiredPacket.newRows).addRow (row, null, myLastFiredPacket);
}
}
protected override void myInitFiredPacket ()
{
requireSchema();
myLastFiredPacket = new DataPacket ();
myLastFiredPacket.newRows = new JoinForeignTable (mySchema);
myLastFiredPacket.addedRows = new BlueTable (mySchema);
@@ -15,7 +15,7 @@ namespace BCG
: this (r, null, null)
{}
public SimpleNode(IBlueRow r, SimpleNode? nx, SimpleNode? pv) {
public SimpleNode(IBlueRow? r, SimpleNode? nx, SimpleNode? pv) {
row = r;
next = nx;
prev = pv;
@@ -1,5 +1,7 @@
using bts;
using Spark.Core.Diagnostics;
using System;
using System.Collections.Generic;
@@ -60,7 +62,7 @@ namespace BCG {
if (columnAndType.Length == 1)
ci[n] = new ColumnInfo(c, n, typeof(double));
else
ci[n] = new ColumnInfo(columnAndType[0], n, Type.GetType("System." + columnAndType[1], true));
ci[n] = new(columnAndType[0], n, ExceptionAssert.NotNull(Type.GetType("System." + columnAndType[1], true)));
n++;
}
@@ -2,8 +2,6 @@ using BCG;
using MongoDB.Driver.Core.WireProtocol.Messages;
using Spark.Core.Diagnostics;
using System;
using System.Collections.Generic;
using System.Linq;
@@ -39,7 +37,7 @@ namespace bts {
}
void _handle_stream_update(object dp_obj) {
var dp = ExceptionAssert.Argument.Is<IDataPacket>(dp_obj);
DataPacket dp = dp_obj as DataPacket;
IDictionary<int, List<IBlueRow>> groups = !String.IsNullOrEmpty(_group_by_col) ?
BlueDataUtility.group_together(dp.newRows, new string[] { _group_by_col })
:
@@ -23,6 +23,6 @@ namespace BCG
/// fires an event when the mapper
/// changes itself
/// </summary>
event MapperChangeDelegate onMapperChange;
event MapperChangeDelegate? onMapperChange;
}
}
@@ -75,6 +75,7 @@ namespace BCG {
protected override void myHandleFirstCall() {
ArgumentNullException.ThrowIfNull(myMapper);
requireLastArrivedPacket();
IBlueTableSchema outputSchema = myMapper.getOutputSchema(myLastArrivedPacket.newRows.schema);
myLastFiredPacket = new DataPacket();
myLastFiredPacket.newRows = new BlueTable(outputSchema);
@@ -85,10 +86,12 @@ namespace BCG {
}
protected override void myHandleIncrementalAdd() {
requireLastArrivedPacket();
if (myLastArrivedPacket.addedRows.Count == 0) {
Log.Gen.warn("MapStream.myHandleIncrementalAdd called with 0 addedRows");
return;
}
requireLastFiredPacket();
ArgumentNullException.ThrowIfNull(myMapper);
var addedRows = new BlueTable(myLastFiredPacket.newRows.schema);
var newRows = ExceptionAssert.Cast(myLastFiredPacket.newRows).To<BlueTable>();
@@ -101,10 +104,12 @@ namespace BCG {
}
protected override void myHandleIncrementalDelete() {
requireLastArrivedPacket();
if (myLastArrivedPacket.deletedRows.Count == 0) {
Log.Gen.warn("MapStream.myHandleIncrementalDelete called with 0 deletedRows");
return;
}
requireLastFiredPacket();
var deletedRows = new BlueTable(myLastFiredPacket.newRows.schema);
var newRows = ExceptionAssert.Cast(myLastFiredPacket.newRows).To<BlueTable>();
foreach (IBlueRow row in myLastArrivedPacket.deletedRows) {
@@ -127,6 +132,7 @@ namespace BCG {
}
protected override void myOnTableClear() {
requireLastFiredPacket();
myLastFiredPacket.deletedRows = myLastFiredPacket.newRows;
myLastFiredPacket.newRows = new BlueTable(myLastFiredPacket.deletedRows.schema);
myLastFiredPacket.addedRows = new BlueTable(myLastFiredPacket.deletedRows.schema);
@@ -47,14 +47,14 @@ namespace BCG {
_map_rows = map_rows;
}
event MapperChangeDelegate? ISuperStreamMapper.onMapperChange { add { } remove { } }
public IBlueTableSchema getOutputSchema(IBlueTableSchema schema) { return _get_schema(schema); }
public IBlueRow[] map(IBlueRow r) {
IEnumerable<IBlueRow> rows = _map_rows(r);
return rows == null ? new IBlueRow[] { } : new List<IBlueRow>(rows).ToArray();
}
public event MapperChangeDelegate? onMapperChange;
}
//maps the id of the underlying stream to the
@@ -608,8 +608,8 @@ namespace BCG {
// 5. deserialize the state into a stream op
str_io_msg_p = deser.deserialize(content_p);
// 6. check to make sure the state's rows are good
passes = passes && str_io_msg_p.op == bts.StreamIOMessage.StreamOp.CREATE &&
BlueDataUtility.compute_equality(cr_rows, str_io_msg_p.create_message.rows);
passes &= str_io_msg_p.op == StreamIOMessage.StreamOp.CREATE
&& BlueDataUtility.compute_equality(cr_rows, ExceptionAssert.NotNull(str_io_msg_p.create_message).rows);
return new TestResult {
test_result = passes,
test_name = "run_pubsub_server_stream_tag_handler_test"
@@ -692,7 +692,7 @@ namespace BCG {
var content = st_data.get_current_content();
var msg_p = deser.deserialize(content);
Log.assert(msg_p.op == bts.StreamIOMessage.StreamOp.CREATE);
return msg_p.create_message.rows;
return ExceptionAssert.NotNull(msg_p.create_message).rows;
}
@@ -1,5 +1,7 @@
using Bts.ColumnSortExpressions;
using Spark.Core.Diagnostics;
using System;
using System.Collections;
using System.Collections.Generic;
@@ -39,7 +41,7 @@ public class SortRow : IComparable, IBlueRow {
var otherVal = otherRow[col.Name];
int rv = myIsNull(this[col.Name]) ?
(myIsNull(otherVal) ? 0 : -1) :
(myIsNull(otherVal) ? 1 : ((IComparable)this[col.Name]).CompareTo(otherVal));
(myIsNull(otherVal) ? 1 : ExceptionAssert.Argument.Is<IComparable>(this[col.Name]).CompareTo(otherVal));
rv *= col.IsAscending ? 1 : -1;
return rv;
}
@@ -1,4 +1,6 @@
using System;
using Spark.Core.Diagnostics;
using System;
using System.Collections.Generic;
using System.IO;
@@ -60,13 +62,13 @@ namespace BCG
List<string> columnInfoStrParts = new List<string>(columnInfoStr.Split(new char[] { ':' }, StringSplitOptions.None));
if (columnInfoStrParts.Count != 2)
{
throw (new Exception(String.Format("Unable to decode schema string '{0}'", schemaStr)));
throw new Exception($"Unable to decode schema string '{schemaStr}'");
}
columnInfos.Add(new ColumnInfo(columnInfoStrParts[0], i, Type.GetType(columnInfoStrParts[1])));
columnInfos.Add(new ColumnInfo(columnInfoStrParts[0], i, ExceptionAssert.NotNull(Type.GetType(columnInfoStrParts[1]))));
}
return (new BlueTableSchema(columnInfos.ToArray(), ""));
return new BlueTableSchema(columnInfos.ToArray(), string.Empty);
}
private IBlueRow myGetRow(IBlueTableSchema schema, string rowStr)
@@ -75,7 +77,7 @@ namespace BCG
if (schema.columnInfo.Length != valueStrs.Count)
{
throw (new Exception(String.Format("Unable to decode row string '{0}'", rowStr)));
throw new Exception($"Unable to decode row string '{rowStr}'");
}
List<object> values = new List<object>();
@@ -84,7 +86,7 @@ namespace BCG
values.Add(Convert.ChangeType(valueStrs[i], schema.columnInfo[i].colType));
}
return (new BlueRow(schema, values.ToArray()));
return new BlueRow(schema, values.ToArray());
}
#endregion
@@ -1,6 +1,7 @@
using BCG.Utilities.General;
using System;
using System.Collections.Generic;
using System.Threading;
namespace BCG
@@ -97,7 +98,7 @@ namespace BCG
// BlueEventLog2.instance().assert(Thread.CurrentThread.ManagedThreadId == _target_thread,
// "onTargetDoWork should only be called from target thread");
var updates = _queued_updates.dequeueAll();
foreach (var u in updates) {
foreach (var u in updates.ExceptNull()) {
if (u.subscription == _current_target_subscription)
myFireEvent(u.dp);
}
@@ -1,7 +1,9 @@
using System;
using BCG.Utilities.General;
using Spark.Core.Diagnostics;
using System;
namespace BCG {
public abstract class TimeUnitStream : ViewStream, IWorker {
protected TimeSpan myOffset;
@@ -46,8 +48,8 @@ namespace BCG {
myRoundTime(myZeroTime + new TimeSpan(myOffset.Ticks * periods));
if (myGetLatestRow() == null ||
!myGetLatestRow()["time"].Equals(dt)) {
var latestRow = myGetLatestRow();
if (latestRow is null || !ExceptionAssert.Argument.Is<DateTime>(latestRow["time"]).Equals(dt)) {
IBlueRow ar = new BlueRow(myCollection.schema,
myId++, dt);
IBlueRow dr = myCollection.addRowWithReturn(ar);
@@ -71,11 +73,10 @@ namespace BCG {
#region Private Helper methods
private IBlueRow myGetLatestRow() {
return myCollection.Count == 0 ?
null :
BlueDataUtility.extractRow(myCollection, myCollection.Count - 1);
}
IBlueRow? myGetLatestRow() =>
myCollection.Count == 0
? null
: BlueDataUtility.extractRow(myCollection, myCollection.Count - 1);
private IBlueRowCollection myConvertToCollection(IBlueRow r) {
BlueTable retVal = new BlueTable(myCollection.schema);
@@ -1,43 +1,42 @@
using System;
namespace BCG;
namespace BCG {
public class TopStream : MethodDrivenStream {
private int myTopCount;
public class TopStream : MethodDrivenStream {
int myTopCount;
public TopStream(ViewStream stream, int topCount) : base(stream) { myTopCount = topCount; }
public TopStream(ViewStream stream, int topCount)
: base(stream) =>
myTopCount = topCount;
public TopStream(ViewStream stream,
int topCount,
string sortExpression)
:
this(sortExpression == null ?
stream :
new SortStream(stream, sortExpression), topCount) { }
public TopStream(ViewStream stream, int topCount, string sortExpression)
: this(sortExpression is null ? stream : new SortStream(stream, sortExpression), topCount) { }
protected override void myOnTableClear() {
myLastFiredPacket.deletedRows = myLastFiredPacket.newRows;
myLastFiredPacket.newRows = new OrderedBlueTable(myLastFiredPacket.deletedRows.schema);
myLastFiredPacket.addedRows = new OrderedBlueTable(myLastFiredPacket.deletedRows.schema);
}
protected override void myOnTableClear() {
requireLastFiredPacket();
myLastFiredPacket.deletedRows = myLastFiredPacket.newRows;
myLastFiredPacket.newRows = new OrderedBlueTable(myLastFiredPacket.deletedRows.schema);
myLastFiredPacket.addedRows = new OrderedBlueTable(myLastFiredPacket.deletedRows.schema);
}
protected override void myHandleFirstCall() {
myLastFiredPacket = new DataPacket();
myLastFiredPacket.newRows = new OrderedBlueTable(myLastArrivedPacket.newRows, myTopCount);
myLastFiredPacket.addedRows = new OrderedBlueTable(myLastFiredPacket.newRows);
myLastFiredPacket.deletedRows = new OrderedBlueTable(myLastFiredPacket.newRows.schema);
}
protected override void myHandleFirstCall() {
requireLastArrivedPacket();
myLastFiredPacket = new DataPacket();
myLastFiredPacket.newRows = new OrderedBlueTable(myLastArrivedPacket.newRows, myTopCount);
myLastFiredPacket.addedRows = new OrderedBlueTable(myLastFiredPacket.newRows);
myLastFiredPacket.deletedRows = new OrderedBlueTable(myLastFiredPacket.newRows.schema);
}
protected override void myHandleIncrementalAdd() { }
protected override void myHandleIncrementalAdd() { }
protected override void myHandleIncrementalDelete() {
IBlueRowCollection oldRows = myLastFiredPacket.newRows;
myLastFiredPacket.newRows = new OrderedBlueTable(myLastArrivedPacket.newRows, myTopCount);
BlueDataUtility.computeDifferences(myLastFiredPacket.newRows,
oldRows,
myLastFiredPacket.schema.columnNames,
out myLastFiredPacket.deletedRows,
out myLastFiredPacket.addedRows);
myFireSwitch = myLastFiredPacket.addedRows.Count + myLastFiredPacket.deletedRows.Count == 0 ? false : true;
}
}
protected override void myHandleIncrementalDelete() {
requireLastArrivedPacket();
requireLastFiredPacket();
IBlueRowCollection oldRows = myLastFiredPacket.newRows;
myLastFiredPacket.newRows = new OrderedBlueTable(myLastArrivedPacket.newRows, myTopCount);
BlueDataUtility.computeDifferences(myLastFiredPacket.newRows,
oldRows,
myLastFiredPacket.schema.columnNames,
out myLastFiredPacket.deletedRows,
out myLastFiredPacket.addedRows);
myFireSwitch = myLastFiredPacket.addedRows.Count + myLastFiredPacket.deletedRows.Count == 0 ? false : true;
}
}
@@ -1,12 +1,10 @@
using System;
using System.Collections;
namespace BCG {
public class AlphabetizeColumnsStream : ViewStream {
private ViewStream mySrc;
private IBlueTableSchema mySchema = null;
IBlueTableSchema? mySchema = null;
public AlphabetizeColumnsStream(ViewStream src) {
mySrc = src;
@@ -1,12 +1,12 @@
using System;
using System.Linq;
namespace BCG
{
public class AppendStreamModified : ViewStream
{
private AppendCollection myColl = new AppendCollection ();
private ViewStream myLeftStream, myRightstream;
ViewStream? myLeftStream, myRightstream;
public AppendStreamModified (ViewStream leftStream, ViewStream rightStream)
{
myLeftStream = leftStream;
@@ -15,11 +15,24 @@ namespace BCG
public AppendStreamModified (ViewStream[] vss)
{
switch (vss.Length) {
case 0:
break;
case 1:
mySetRealSource (vss[0]);
break;
default:
mySetRealSource(
vss[1..].Aggregate(
new AppendStreamModified(new[] { vss[0] }),
(asm, vs) => new AppendStreamModified(asm, vs)));
break;
}
if (vss.Length == 1)
mySetRealSource (vss[0]);
else
{
AppendStreamModified rv = null;
AppendStreamModified? rv = null;
foreach (ViewStream s in vss)
rv = rv == null ? new AppendStreamModified (new ViewStream[] {s}) : new AppendStreamModified (rv, s);
mySetRealSource (rv);
@@ -8,11 +8,11 @@ using Bts.DataStreamCore;
using Bts.DataStreamExpressions;
using Bts.PubSub;
using global::Spark.Core.Disposables;
using Microsoft.Extensions.Hosting;
using Microsoft.Extensions.Options;
using Spark.Core.Disposables;
using System;
using System.Collections.Generic;
using System.Linq;
@@ -8,7 +8,6 @@ using Bts.PubSub.Services;
using Microsoft.Extensions.DependencyInjection;
using Microsoft.Extensions.Hosting;
using Spark.Api.MarketData;
using Spark.Api.Services;
using Spark.Core.Services;
+56
View File
@@ -43,6 +43,14 @@ Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Bts.Net", "..\cs\Bts.Net\Bt
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Bts.IO.Compression", "..\cs\Bts.IO.Compression\Bts.IO.Compression.csproj", "{3BF059B0-51C0-44A8-8297-9B7464DC5BA3}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Bts.Collections", "..\cs\Bts.Collections\Bts.Collections.csproj", "{ADBEBCB3-5367-431B-AFC8-F57CAF9F029D}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Bts.Core", "..\cs\Bts.Core\Bts.Core.csproj", "{4E3D817D-9A0A-40F4-A1A1-4865375F40DD}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Bts.Disposables", "..\cs\Bts.Disposables\Bts.Disposables.csproj", "{ED034E82-07F4-473D-9C3A-F5EF9C961CFD}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Bts.Numerics", "..\cs\Bts.Numerics\Bts.Numerics.csproj", "{9A3E289A-3A88-4A76-AD0B-32C12EBA1B8B}"
EndProject
Global
GlobalSection(SolutionConfigurationPlatforms) = preSolution
Debug|Any CPU = Debug|Any CPU
@@ -293,6 +301,54 @@ Global
{3BF059B0-51C0-44A8-8297-9B7464DC5BA3}.Release|x64.Build.0 = Release|Any CPU
{3BF059B0-51C0-44A8-8297-9B7464DC5BA3}.Release|x86.ActiveCfg = Release|Any CPU
{3BF059B0-51C0-44A8-8297-9B7464DC5BA3}.Release|x86.Build.0 = Release|Any CPU
{ADBEBCB3-5367-431B-AFC8-F57CAF9F029D}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{ADBEBCB3-5367-431B-AFC8-F57CAF9F029D}.Debug|Any CPU.Build.0 = Debug|Any CPU
{ADBEBCB3-5367-431B-AFC8-F57CAF9F029D}.Debug|x64.ActiveCfg = Debug|Any CPU
{ADBEBCB3-5367-431B-AFC8-F57CAF9F029D}.Debug|x64.Build.0 = Debug|Any CPU
{ADBEBCB3-5367-431B-AFC8-F57CAF9F029D}.Debug|x86.ActiveCfg = Debug|Any CPU
{ADBEBCB3-5367-431B-AFC8-F57CAF9F029D}.Debug|x86.Build.0 = Debug|Any CPU
{ADBEBCB3-5367-431B-AFC8-F57CAF9F029D}.Release|Any CPU.ActiveCfg = Release|Any CPU
{ADBEBCB3-5367-431B-AFC8-F57CAF9F029D}.Release|Any CPU.Build.0 = Release|Any CPU
{ADBEBCB3-5367-431B-AFC8-F57CAF9F029D}.Release|x64.ActiveCfg = Release|Any CPU
{ADBEBCB3-5367-431B-AFC8-F57CAF9F029D}.Release|x64.Build.0 = Release|Any CPU
{ADBEBCB3-5367-431B-AFC8-F57CAF9F029D}.Release|x86.ActiveCfg = Release|Any CPU
{ADBEBCB3-5367-431B-AFC8-F57CAF9F029D}.Release|x86.Build.0 = Release|Any CPU
{4E3D817D-9A0A-40F4-A1A1-4865375F40DD}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{4E3D817D-9A0A-40F4-A1A1-4865375F40DD}.Debug|Any CPU.Build.0 = Debug|Any CPU
{4E3D817D-9A0A-40F4-A1A1-4865375F40DD}.Debug|x64.ActiveCfg = Debug|Any CPU
{4E3D817D-9A0A-40F4-A1A1-4865375F40DD}.Debug|x64.Build.0 = Debug|Any CPU
{4E3D817D-9A0A-40F4-A1A1-4865375F40DD}.Debug|x86.ActiveCfg = Debug|Any CPU
{4E3D817D-9A0A-40F4-A1A1-4865375F40DD}.Debug|x86.Build.0 = Debug|Any CPU
{4E3D817D-9A0A-40F4-A1A1-4865375F40DD}.Release|Any CPU.ActiveCfg = Release|Any CPU
{4E3D817D-9A0A-40F4-A1A1-4865375F40DD}.Release|Any CPU.Build.0 = Release|Any CPU
{4E3D817D-9A0A-40F4-A1A1-4865375F40DD}.Release|x64.ActiveCfg = Release|Any CPU
{4E3D817D-9A0A-40F4-A1A1-4865375F40DD}.Release|x64.Build.0 = Release|Any CPU
{4E3D817D-9A0A-40F4-A1A1-4865375F40DD}.Release|x86.ActiveCfg = Release|Any CPU
{4E3D817D-9A0A-40F4-A1A1-4865375F40DD}.Release|x86.Build.0 = Release|Any CPU
{ED034E82-07F4-473D-9C3A-F5EF9C961CFD}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{ED034E82-07F4-473D-9C3A-F5EF9C961CFD}.Debug|Any CPU.Build.0 = Debug|Any CPU
{ED034E82-07F4-473D-9C3A-F5EF9C961CFD}.Debug|x64.ActiveCfg = Debug|Any CPU
{ED034E82-07F4-473D-9C3A-F5EF9C961CFD}.Debug|x64.Build.0 = Debug|Any CPU
{ED034E82-07F4-473D-9C3A-F5EF9C961CFD}.Debug|x86.ActiveCfg = Debug|Any CPU
{ED034E82-07F4-473D-9C3A-F5EF9C961CFD}.Debug|x86.Build.0 = Debug|Any CPU
{ED034E82-07F4-473D-9C3A-F5EF9C961CFD}.Release|Any CPU.ActiveCfg = Release|Any CPU
{ED034E82-07F4-473D-9C3A-F5EF9C961CFD}.Release|Any CPU.Build.0 = Release|Any CPU
{ED034E82-07F4-473D-9C3A-F5EF9C961CFD}.Release|x64.ActiveCfg = Release|Any CPU
{ED034E82-07F4-473D-9C3A-F5EF9C961CFD}.Release|x64.Build.0 = Release|Any CPU
{ED034E82-07F4-473D-9C3A-F5EF9C961CFD}.Release|x86.ActiveCfg = Release|Any CPU
{ED034E82-07F4-473D-9C3A-F5EF9C961CFD}.Release|x86.Build.0 = Release|Any CPU
{9A3E289A-3A88-4A76-AD0B-32C12EBA1B8B}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{9A3E289A-3A88-4A76-AD0B-32C12EBA1B8B}.Debug|Any CPU.Build.0 = Debug|Any CPU
{9A3E289A-3A88-4A76-AD0B-32C12EBA1B8B}.Debug|x64.ActiveCfg = Debug|Any CPU
{9A3E289A-3A88-4A76-AD0B-32C12EBA1B8B}.Debug|x64.Build.0 = Debug|Any CPU
{9A3E289A-3A88-4A76-AD0B-32C12EBA1B8B}.Debug|x86.ActiveCfg = Debug|Any CPU
{9A3E289A-3A88-4A76-AD0B-32C12EBA1B8B}.Debug|x86.Build.0 = Debug|Any CPU
{9A3E289A-3A88-4A76-AD0B-32C12EBA1B8B}.Release|Any CPU.ActiveCfg = Release|Any CPU
{9A3E289A-3A88-4A76-AD0B-32C12EBA1B8B}.Release|Any CPU.Build.0 = Release|Any CPU
{9A3E289A-3A88-4A76-AD0B-32C12EBA1B8B}.Release|x64.ActiveCfg = Release|Any CPU
{9A3E289A-3A88-4A76-AD0B-32C12EBA1B8B}.Release|x64.Build.0 = Release|Any CPU
{9A3E289A-3A88-4A76-AD0B-32C12EBA1B8B}.Release|x86.ActiveCfg = Release|Any CPU
{9A3E289A-3A88-4A76-AD0B-32C12EBA1B8B}.Release|x86.Build.0 = Release|Any CPU
EndGlobalSection
GlobalSection(SolutionProperties) = preSolution
HideSolutionNode = FALSE
@@ -5,7 +5,7 @@ using BCG.Utilities.General;
using Bts.DataStreamCore;
using global::Spark.Core.Collections;
using Spark.Core.Collections;
public class TestDriverStream : ViewStream, IWorker {
readonly IBlueTableSchema schema;
@@ -22,7 +22,6 @@ namespace BCG {
/// with PubSub, as some clients are still using ManagedSubcribers)
/// </summary>
public class ManagedSubscriber : IManagedSubscriber, IWorker, IDisposable {
private static ManagedSubscriber? _self;
private ISubscriberCore _subcore;
// private IDictionary myTypedDispatchTable = new Hashtable(),
// myRawDispatchTable = new Hashtable();
@@ -34,7 +33,6 @@ namespace BCG {
ManagedSubscriber(ISubscriberCore subsCore) { _subcore = subsCore; }
public void doWork() {
var msg_map = new Dictionary<string, List<bts.PubSubServerMessage>>();
var updates = _subcore.get_updates(TimeSpan.Zero);
if (updates.Count() == 0)
return;
@@ -45,11 +45,7 @@ namespace BCG
get { return myConnInfo; }
}
override public string ToString()
{
Func<byte[], int> len = (byte[] m) => { return m == null ? 0 : m.Length; };
return $"type: {myMsgType} conn: {myConnInfo} msg: {len(myMsg)}";
}
public override string ToString() =>
$"type: {myMsgType} conn: {myConnInfo} msg: {myMsg?.Length ?? 0}";
}
}
@@ -46,7 +46,7 @@ namespace bts {
System.Threading.Thread.Sleep(TimeSpan.FromSeconds(5));
_accept_socket.BeginAccept(new AsyncCallback(_on_accept), new object[] { });
if (ex is OutOfMemoryException)
throw ex;
throw;
return;
}
new_sock.LingerState = new LingerOption(false, 0);
@@ -1,9 +1,8 @@
using bts;
using System;
using System.IO;
using System.Collections;
using bts;
using System.Threading;
using System.Reflection;
using System.Text;
namespace BCG {
/// <summary>
@@ -69,7 +68,8 @@ namespace BCG {
public static byte[] getBytesFromStream(params Stream[] streams) {
long totalSize = 0;
BinaryWriter bw = new BinaryWriter(new MemoryStream());
using var ms = new MemoryStream();
using var bw = new BinaryWriter(ms, Encoding.UTF8, true);
foreach (Stream s in streams)
totalSize += s.Length - s.Position;
bw.Write(Convert.ToInt32(totalSize));
@@ -78,7 +78,8 @@ namespace BCG {
int lengthToReadForThisStream = Convert.ToInt32(s.Length - s.Position);
bw.Write(br.ReadBytes(lengthToReadForThisStream));
}
return (bw.BaseStream as MemoryStream).ToArray();
bw.Flush();
return ms.ToArray();
}
public static byte[] read_bytes(Stream str) {
+1 -1
View File
@@ -92,7 +92,7 @@ namespace BCG {
public void publish(PubSubClientMessage msg) {
Log.assert(msg.msg_type == PubSubMessageType.PUBLISH);
Log.assert(!String.IsNullOrEmpty(msg.pub_msg.tag_type));
Log.assert(!string.IsNullOrEmpty(msg.pub_msg?.tag_type));
bts.Log.Gen.info($"PublisherCore.publish msg: {msg}");
_main_queue.enqueue(msg);
}
@@ -143,7 +143,7 @@ namespace BCG {
public void doWork() {
if (_connection_cb != null) {
var conns = _conn_callback_queue.dequeueAll();
foreach (var ci in conns) {
foreach (var ci in conns.ExceptNull()) {
_connection_cb(ci.client_url, ci.status);
}
}
@@ -175,7 +175,7 @@ namespace BCG {
case RemoteMessageType.Data:
// if callback is registered fire it right away, else enqueue it
if (_data_cb != null)
_data_cb(sender_rci.ToString(), message.message);
_data_cb(sender_rci.ToString(), message.message ?? Array.Empty<byte>());
else
_received_data_queue.enqueue(new Pair<string, byte[]>(sender_rci.ToString(), message.message));
break;
@@ -258,7 +258,7 @@ namespace BCG {
// (which gets called in another thread)
private void _handle_new_connections() {
var new_conns = _new_connections.dequeueAll();
foreach (ITCPConnection conn in new_conns) {
foreach (var conn in new_conns.ExceptNull()) {
var peer_rci = conn.get_peer_address();
bts.Log.Gen.info($"ManagedTCPMessageHub._handle_new_connections conn: {conn}");
///to stop it from being garbabge collected immediatly
@@ -16,8 +16,8 @@ public interface IPubSubState {
ICollection<string> all_tags { get; }
byte[] get_content(string tag);
string getTagType(string tag);
byte[]? get_content(string tag);
string? getTagType(string tag);
void get_all_connections(
string tag,
out Dictionary<string, string> subscribers,
@@ -188,11 +188,11 @@ namespace BCG {
_state.handle_sub(sub_msg); // state keeps the list of all subscribers
///to all these new subscriber s, send the existing data
foreach (string tag in sub_msg.tags.empty_if_null()) {
byte[] data = _state.get_content(tag);
byte[]? data = _state.get_content(tag);
//ie data has been published once
if (data != null) {
bts.Log.Gen.info($"ManagedTCPMessgeHub._handle_sub get_content tag: {tag} data len: {data.Length}");
string tag_type_ = _state.getTagType(tag);
string? tag_type_ = _state.getTagType(tag);
var msg_to_send = new PubSubServerMessage() {
tag = tag,
tag_type = tag_type_,
@@ -148,7 +148,7 @@ namespace BCG {
return new string[] { };
}
public byte[] get_content(string tag) {
public byte[]? get_content(string tag) {
if (!_tag_to_data_map.ContainsKey(tag))
return null;
var rv = _tag_to_data_map[tag].get_current_content();
@@ -157,7 +157,7 @@ namespace BCG {
return rv;
}
public string getTagType(string tag) {
public string? getTagType(string tag) {
if (!_tag_to_data_map.ContainsKey(tag))
return null;
else
@@ -20,7 +20,7 @@ namespace bts {
public class SingleTagData {
private readonly IPubSubServerTagHandler? _tag_handler;
public SingleTagData(string tag, string tag_type, IPubSubServerTagHandler tag_handler) {
public SingleTagData(string tag, string tag_type, IPubSubServerTagHandler? tag_handler) {
bts.Log.Gen.info($"SingleTagData constructed for tag: {tag} tag_type: {tag_type}");
this.tag = tag;
this.tag_type = tag_type;
@@ -46,7 +46,6 @@ namespace BCG {
}
public void onConnection(ITCPConnection connection) {
string ip; int port;
var peer_rci = connection.get_peer_address();
bts.Log.Gen.info($"SimpleTCPClient.onConnection connected to server: {peer_rci}, starting task to send data in a loop");
if (_listener != null) {
@@ -5,9 +5,10 @@ using BCG;
using bts.api;
using bts.md;
using Bts.DataStream;
using Bts.DataStreamCore;
using global::Spark.Api.MarketData;
using Spark.Api.MarketData;
public class BookSchemaBuilder {
public int NumLevels { get; set; } = 5;
@@ -2,7 +2,7 @@ namespace Bts.SharedStreams;
using bts.api;
using global::Spark.Api.Orders;
using Spark.Api.Orders;
public static class WellKnownColumns {
public static (string Name, Type Type) AskNotional => (WellKnownColumnNames.AskNotional, typeof(double));
@@ -10,7 +10,7 @@
[DataStreamUserRespresentation("nl")]
public class BlueOrbNLStream : ViewStream {
private readonly string _nl_prompt;
private ViewStream _nl_to_dsl_stream, _dsl_stream;
private ViewStream? _nl_to_dsl_stream, _dsl_stream;
private IDictionary<string, object> _dp_metadata = new Dictionary<string, object>();
public BlueOrbNLStream(string nl_prompt) {
_nl_prompt = nl_prompt;
@@ -85,7 +85,8 @@ namespace bts.BlueOrb {
.GetProperty("choices")[0]
.GetProperty("message")
.GetProperty("content")
.GetString();
.GetString()
?? string.Empty;
//return gpt_response;
DateTime t1 = DateTime.Now;
@@ -4,6 +4,8 @@ using BCG.Utilities.General;
using Bts.PubSub;
using Bts.SharedStreams.Tables;
using Spark.Core.Diagnostics;
namespace bts {
// TODO: Use dependency injection to instantiate this stream, and others like it that depend on
// ISubscriberCore(Factory). Until then, hide it from DSQA.
@@ -40,7 +42,7 @@ namespace bts {
foreach (var u in updates) {
if (u.tag != "System_AllStatistics")
continue;
var tag_infos = TagStatsInfo.deserialize(u.data);
var tag_infos = TagStatsInfo.deserialize(ExceptionAssert.NotNull(u.data));
foreach (var ti in tag_infos) {
_tag_map[ti.tag] = ti;
}
-20
View File
@@ -187,24 +187,4 @@
Name="Test"
DependsOnTargets="Build"></Target>
<Target Name="CopyNativeAssetsToOutput" AfterTargets="Build">
<Copy SourceFiles="@(NativeWindowsAsset)" DestinationFolder="$(OutDir)" SkipUnchangedFiles="True" Condition="Exists('%(NativeWindowsAsset.FullPath)')" />
<Copy SourceFiles="@(NativeLinuxAsset)" DestinationFolder="$(OutDir)" SkipUnchangedFiles="True" Condition="Exists('%(NativeLinuxAsset.FullPath)')" />
</Target>
<ItemGroup>
<Content Include="@(NativeWindowsAsset)"
Condition="Exists('@(NativeWindowsAsset)')"
Link="%(NativeWindowsAsset.FileName)%(NativeWindowsAsset.Extension)"
CopyToOutputDirectory="PreserveNewest"
Pack="true"
PackagePath="runtimes/win-x64/native/" />
<Content Include="@(NativeLinuxAsset)"
Condition="Exists('@(NativeLinuxAsset)')"
Link="%(NativeLinuxAsset.FileName)%(NativeLinuxAsset.Extension)"
CopyToOutputDirectory="PreserveNewest"
Pack="true"
PackagePath="runtimes/linux-x64/native/" />
</ItemGroup>
</Project>
-5
View File
@@ -2,14 +2,12 @@ ARG IMAGE="sparkd"
ARG CONFIG_DIR="src/app_sparkd/configurations/dev"
ARG SOURCE_DIR="install/sparkd-release-gcc"
ARG PYTHON_REQUIREMENTS="requirements.txt"
ARG SPARKD_ENTRYPOINT="src/app_sparkd/sparkd-entrypoint.sh"
# sparkd_base
FROM bluetradingsystems/linux_dotnet8 AS sparkd_base
ARG CONFIG_DIR
ARG SOURCE_DIR
ARG PYTHON_REQUIREMENTS
ARG SPARKD_ENTRYPOINT
USER "root"
RUN apt-get update && apt-get install -y liblttng-ust-dev
@@ -23,7 +21,6 @@ RUN pip3 install -r "/home/bts/bin/requirements.txt"
USER "bts"
COPY --chown=bts:bts "${SOURCE_DIR}" "."
COPY --chown=bts:bts "${CONFIG_DIR}" "/home/bts/.local/share/bts/sparkd/conf"
COPY --chown=bts:bts "${SPARKD_ENTRYPOINT}" "/home/bts/bin/sparkd-entrypoint.sh"
WORKDIR "/home/bts/bin"
# sparkd
@@ -38,7 +35,6 @@ COPY --chown=bts:bts "${MD_RECORDING_DIR}" "/home/bts/.local/share/bts/sparkd/da
FROM bluetradingsystems/linux_dotnet8 AS sparkd_symbols
ARG SOURCE_DIR
ARG PYTHON_REQUIREMENTS="requirements.txt"
ARG SPARKD_ENTRYPOINT
USER "root"
RUN apt-get update && apt-get install -y liblttng-ust-dev
@@ -51,7 +47,6 @@ RUN pip3 install -r "/home/bts/bin/requirements.txt"
USER "bts"
COPY --chown=bts:bts "${SOURCE_DIR}" "."
COPY --chown=bts:bts "${SPARKD_ENTRYPOINT}" "/home/bts/bin/sparkd-entrypoint.sh"
WORKDIR "/home/bts/bin"
# selected image
@@ -1,5 +0,0 @@
SPARKD__CONFIG_DIR=src/app_sparkd/configurations/all_crypto
SPARKD__PYTHON_REQUIREMENTS=src/app_sparkd/configurations/gateio_dev/requirements.txt
SPARKD__DATA_DIR=/home/ubuntu/8000/sparkdata/data
SPARKD__IMAGE=sparkd_symbols
SPARKD__RUNTIME_CONF_DIR=/home/ubuntu/8000/sparkdata/conf
@@ -1,11 +0,0 @@
{
"currencies": [
"USDT"
],
"futures": [
"BTC",
"ETH",
"SOL",
"XRP"
]
}
@@ -1,16 +0,0 @@
{
"currencies": [
"USDT"
],
"futures": [
"BTC",
"ETH",
"SOL",
"XRP"
],
"use_testnet": false,
"logging": {
"console_level": "WARNING",
"file_level": "INFO"
}
}
@@ -1,71 +0,0 @@
PublisherOptions {
value {
network_interface: "0.0.0.0"
heartbeat_ms: 5000
heartbeat_boot_seconds: 60
skip_options: true
hot_initial: 1024
hot_growth: 1024
cold_initial: 8192
cold_growth: 2048
channel_prefix: ""
disable_heartbeat: true
}
}
Logging {
value {
initial_queue_size: 120001
max_queue_growth: 4
file {
default_level: "Info"
subsystem {
name: "md"
level: "Diag"
}
}
}
}
MarketDataConfig {
value {
# python_md_providers {
# venue: VENUE_GATEIO
# module_path: "python_md_providers"
# provider_type: "gateio_md_provider.GateIoMdProvider"
# }
python_md_providers {
venue: VENUE_BYBIT
module_path: "python_interop_plugins"
provider_type: "bybit_md_provider.BybitMdProvider"
}
binance_usds_futures {
num_depth_levels: 5
url_rest_base: "https://fapi.binance.com"
url_ws_base: "wss://fstream.binance.com"
security_criteria {
clauses {
security_types: SECURITY_TYPE_FUTURE
symbols: @SymbolLists.list[Gateio].symbol
}
}
}
okx {
num_depth_levels: 5
url_rest_base: "https://www.okx.com"
url_ws_base: "wss://ws.okx.com:8443"
security_criteria {
clauses {
security_types: SECURITY_TYPE_FUTURE
symbols: @SymbolLists.list[Gateio].symbol
}
}
is_application_ping_pong_enabled: true
application_ping_interval_ms: 20000
application_pong_timeout_ms: 10000
is_protocol_ping_pong_enabled: true
protocol_ping_interval_ms: 60000
protocol_pong_timeout_ms: 30000
}
}
}
@@ -1,32 +0,0 @@
SymbolLists {
value {
list {
key: "Gateio"
symbol: "SOL"
symbol: "BTC"
symbol: "ETH"
symbol: "XRP"
}
}
}
Symbols {
value {
venues {
name: "VENUE_GATEIO"
spot: @SymbolLists.list[Gateio].symbol
}
venues {
name: "VENUE_BYBIT"
future: @SymbolLists.list[Gateio].symbol
}
venues {
name: "VENUE_BINANCE_USDS_FUTURES"
future: @SymbolLists.list[Gateio].symbol
}
venues {
name: "VENUE_OKX"
future: @SymbolLists.list[Gateio].symbol
}
}
}
@@ -1,7 +0,0 @@
SPARKD__CONFIG_DIR=src/app_sparkd/configurations/cme_dev_replay_aws
SPARKD__DATA_DIR=/home/ubuntu/8000/sparkdata/data
SPARKD__IMAGE=sparkd_symbols
SPARKD__PYTHON_REQUIREMENTS=src/app_sparkd/configurations/cme_dev_replay_aws/requirements.txt
SPARKD__RUNTIME_CONF_DIR=/home/ubuntu/8000/sparkdata/conf
SPARKD__SHM_SIZE=512m
SPARKD__MEMORY=1g
@@ -1,61 +0,0 @@
SymbolLists {
value {
list {
key: "GlbxFutures"
symbol: "ES"
}
# list {
# key: "GlbxOptions"
# symbol: "E1A"
# symbol: "E1B"
# symbol: "E1C"
# symbol: "E1D"
# symbol: "E2A"
# symbol: "E2B"
# symbol: "E2C"
# symbol: "E2D"
# symbol: "E3A"
# symbol: "E3B"
# symbol: "E3C"
# symbol: "E3D"
# symbol: "E4A"
# symbol: "E4B"
# symbol: "E4C"
# symbol: "E4D"
# symbol: "E5A"
# symbol: "E5B"
# symbol: "E5C"
# symbol: "E5D"
# symbol: "EW1"
# symbol: "EW2"
# symbol: "EW3"
# symbol: "EW4"
# symbol: "ESH9"
# symbol: "ESZ6"
# symbol: "ESH0"
# symbol: "ESM6"
# symbol: "ESZ7"
# symbol: "ESH6"
# symbol: "ESM7"
# symbol: "ESZ8"
# symbol: "ESH7"
# symbol: "ESH8"
# symbol: "ESU6"
# symbol: "ESZ5"
# symbol: "ESZ9"
# symbol: "E1D"
# symbol: "ESZ5"
# symbol: "ES"
# }
}
}
Symbols {
value {
venues {
name: "VENUE_GLBX"
future: @SymbolLists.list[GlbxFutures].symbol
# option: @SymbolLists.list[GlbxOptions].symbol
}
}
}
@@ -1,10 +0,0 @@
SPARKD__CONFIG_DIR=src/app_sparkd/configurations/ophir_cert_live_wb
SPARKD__DATA_DIR=/home/wedbushprod/9000/sparkdata/data
SPARKD__IMAGE=sparkd_symbols
SPARKD__PYTHON_REQUIREMENTS=src/app_sparkd/configurations/ophir_cert_live_wb/requirements.txt
SPARKD__RUNTIME_CONF_DIR=/home/wedbushprod/9000/sparkdata/conf
SPARKD__SHM_SIZE=8g
SPARKD__MEMORY=16g
SPARKD__CONFIG_PORT=9000
SPARKD__QUICKBUS_PORT=9001
SPARKD__SIM_FIX_PORT=9002
@@ -1,5 +0,0 @@
numpy==2.2.6
pybit==5.11.0
requests==2.31.0
websocket-client==1.8.0
websockets==15.0.1
@@ -1,140 +0,0 @@
DeploymentType {
value {
type: "dev"
}
}
PublisherOptions {
value {
network_interface_a: 'ens65f1'
network_interface_b: 'ens65f0'
#these get overriden if not entered here
heartbeat_ms: 5000
heartbeat_boot_seconds: 60
skip_options: false
hot_initial: 1024
hot_growth: 1024
cold_initial: 8192
cold_growth: 2048
channel_prefix: ""
disable_heartbeat: false
}
}
CMEOptions {
value {
feed_engine {
name: "mdp3feed"
spin_time: 0
channels_per_thread: 3
data_wait: 10
udp_socket_buffer_size: 268435456
}
channel {
id: "*"
feed_engine: "mdp3feed"
use_tcp_replay: false
recovery_queue_size: 640000
lost_packet_wait_timeout_ms: 10
onixs_log_mode: CME_ONIXS_LOG_MODE_UNSPECIFIED
#max_gap_recovery_cache_size: 4
use_natural_refresh: false
join_snapshot_on_gap: false
}
}
}
Logging {
value {
initial_queue_size: 120001
max_queue_growth: 4
console {
default_level: "Info"
subsystem {
name: "md"
level: "Info"
}
subsystem {
name: "OrderMan"
level: "Info"
}
}
}
}
MarketDataConfig {
value {
glbx {
unique_check_value: 15
use_databento: false
}
# recording {
# venue: VENUE_GLBX
# num_of_seconds_to_run_file_writer: 300
# num_of_seconds_to_run_db_writer : 0
# n_book_levels: 10
# batch_size: 100 #for the db writer
# enable_book_recording: true
# enable_trade_recording: true
# enable_bbo_recording: false
# enable_tbbo_recording: false
# enable_misc_recording: true
#}
}
}
JetFIX {
value {
connection {
name: "maw_004_64"
venue: VENUE_GLBX
socket_connect_host_ip: "69.50.112.177"
socket_connect_port: 44040
sender_compid: "MAW004"
target_compid: "CME"
target_subid: "64"
cme_market_segment_id: 64
start_time: "00:10:00"
end_time: "23:55:00"
start_day: "sunday"
end_day: "friday"
seconds_between_hbs: 15
sender_subid: "BTS"
seconds_to_pause: 2
max_connection_attempts: 100
use_ilink3: true
}
}
}
OrdermanCfg {
value {
executor {
thread_name: "oman_orders"
poll: true
hosted_actor: "MDSource"
hosted_actor: "OrderManager"
hosted_actor: "ExecutionGateway"
}
executor {
thread_name: "oman_slow"
poll: false
hosted_actor: "*"
}
fallback_cust_order_handling_inst: "Y"
}
}
NotSimExecution {
value {
entries {
venue: VENUE_GLBX
}
}
}
Ports {
value {
config_port: 9000
qbus_port: 9001
glbx_sim_fix_port: 9002
ice_sim_fix_port: 9003
replicator_port: 9080
}
}
@@ -0,0 +1,5 @@
SPARKD__CONFIG_DIR=src/app_sparkd/configurations/ophir_demo
SPARKD__DATA_DIR=/home/ubuntu/8000/sparkdata/data
SPARKD__IMAGE=sparkd_symbols
SPARKD__PYTHON_REQUIREMENTS=src/app_sparkd/configurations/ophir_demo/requirements.txt
SPARKD__RUNTIME_CONF_DIR=/home/ubuntu/8000/sparkdata/conf
@@ -24,9 +24,38 @@ PublisherOptions {
}
}
Logging {
value {
initial_queue_size: 120001
max_queue_growth: 4
console {
default_level: "Info"
subsystem {
name: "md"
level: "Warn"
}
subsystem {
name: "OrderMan"
level: "Info"
}
}
file {
default_level: "Info"
subsystem {
name: "OrderMan"
level: "Diag"
}
subsystem {
name: "Http"
level: "Diag"
}
}
}
}
MarketDataConfig {
value {
replay {
replay {
venue: VENUE_GLBX
}
}
@@ -0,0 +1,8 @@
Symbols {
value {
venues {
name: "VENUE_GLBX"
future: "ES"
}
}
}
@@ -1,7 +0,0 @@
SPARKD__CONFIG_DIR=src/app_sparkd/configurations/ophir_prod_live_wb
SPARKD__DATA_DIR=/home/wedbushprod/8000/sparkdata/data
SPARKD__IMAGE=sparkd_symbols
SPARKD__PYTHON_REQUIREMENTS=src/app_sparkd/configurations/ophir_prod_live_wb/requirements.txt
SPARKD__RUNTIME_CONF_DIR=/home/wedbushprod/8000/sparkdata/conf
SPARKD__SHM_SIZE=8g
SPARKD__MEMORY=16g
@@ -1,5 +0,0 @@
numpy==2.2.6
pybit==5.11.0
requests==2.31.0
websocket-client==1.8.0
websockets==15.0.1
@@ -1,152 +0,0 @@
DeploymentType {
value {
type: "prod"
}
}
PublisherOptions {
value {
network_interface_a: 'enp193s0f0np0'
network_interface_b: 'enp193s0f1np1'
#these get overriden if not entered here
heartbeat_ms: 5000
heartbeat_boot_seconds: 60
skip_options: false
hot_initial: 1024
hot_growth: 1024
cold_initial: 8192
cold_growth: 2048
channel_prefix: ""
disable_heartbeat: false
}
}
CMEOptions {
value {
feed_engine {
name: "mdp3feed"
spin_time: 0
channels_per_thread: 3
data_wait: 10
udp_socket_buffer_size: 268435456
}
channel {
id: "*"
feed_engine: "mdp3feed"
use_tcp_replay: false
recovery_queue_size: 640000
lost_packet_wait_timeout_ms: 10
onixs_log_mode: CME_ONIXS_LOG_MODE_UNSPECIFIED
#max_gap_recovery_cache_size: 4
use_natural_refresh: false
join_snapshot_on_gap: false
}
}
}
Logging {
value {
initial_queue_size: 120001
max_queue_growth: 4
console {
default_level: "Info"
subsystem {
name: "md"
level: "Info"
}
subsystem {
name: "OrderMan"
level: "Info"
}
}
}
}
MarketDataConfig {
value {
glbx {
unique_check_value: 15
use_databento: false
}
# recording {
# venue: VENUE_GLBX
# num_of_seconds_to_run_file_writer: 300
# num_of_seconds_to_run_db_writer : 0
# n_book_levels: 10
# batch_size: 100 #for the db writer
# enable_book_recording: true
# enable_trade_recording: true
# enable_bbo_recording: false
# enable_tbbo_recording: false
# enable_misc_recording: true
#}
}
}
JetFIX {
value {
connection {
name: "u6p_7qb_54"
venue: VENUE_GLBX
socket_connect_host_ip: "205.209.201.97"
socket_connect_port: 10979
sender_compid: "U6P7QB"
target_compid: "CME"
target_subid: "54"
cme_market_segment_id: 54
start_time: "00:10:00"
end_time: "23:55:00"
start_day: "sunday"
end_day: "friday"
seconds_between_hbs: 15
sender_subid: "BTS"
seconds_to_pause: 1
max_order_msgs_per_window: 300
max_connection_attempts: 2
use_ilink3: true
}
connection {
name: "u6p_7qb_64"
venue: VENUE_GLBX
socket_connect_host_ip: "205.209.201.1"
socket_connect_port: 10979
sender_compid: "U6P7QB"
target_compid: "CME"
target_subid: "64"
cme_market_segment_id: 64
start_time: "00:10:00"
end_time: "23:55:00"
start_day: "sunday"
end_day: "friday"
seconds_between_hbs: 15
sender_subid: "BTS"
seconds_to_pause: 1
max_connection_attempts: 2
max_order_msgs_per_window: 300
use_ilink3: true
}
}
}
OrdermanCfg {
value {
executor {
thread_name: "oman_orders"
poll: true
hosted_actor: "MDSource"
hosted_actor: "OrderManager"
hosted_actor: "ExecutionGateway"
}
executor {
thread_name: "oman_slow"
poll: false
hosted_actor: "*"
}
fallback_cust_order_handling_inst: "Y"
}
}
NotSimExecution {
value {
entries {
venue: VENUE_GLBX
}
}
}
@@ -1,61 +0,0 @@
SymbolLists {
value {
list {
key: "GlbxFutures"
symbol: "ES"
}
list {
key: "GlbxOptions"
symbol: "E1A"
symbol: "E1B"
symbol: "E1C"
symbol: "E1D"
symbol: "E2A"
symbol: "E2B"
symbol: "E2C"
symbol: "E2D"
symbol: "E3A"
symbol: "E3B"
symbol: "E3C"
symbol: "E3D"
symbol: "E4A"
symbol: "E4B"
symbol: "E4C"
symbol: "E4D"
symbol: "E5A"
symbol: "E5B"
symbol: "E5C"
symbol: "E5D"
symbol: "EW1"
symbol: "EW2"
symbol: "EW3"
symbol: "EW4"
symbol: "ESH9"
symbol: "ESZ6"
symbol: "ESH0"
symbol: "ESM6"
symbol: "ESZ7"
symbol: "ESH6"
symbol: "ESM7"
symbol: "ESZ8"
symbol: "ESH7"
symbol: "ESH8"
symbol: "ESU6"
symbol: "ESZ5"
symbol: "ESZ9"
symbol: "E1D"
symbol: "ESZ5"
symbol: "ES"
}
}
}
Symbols {
value {
venues {
name: "VENUE_GLBX"
future: @SymbolLists.list[GlbxFutures].symbol
option: @SymbolLists.list[GlbxOptions].symbol
}
}
}
@@ -1,7 +0,0 @@
SPARKD__CONFIG_DIR=src/app_sparkd/configurations/ophir_prod_live_wb
SPARKD__DATA_DIR=/home/dk/8000/sparkdata/data
SPARKD__IMAGE=sparkd_symbols
SPARKD__PYTHON_REQUIREMENTS=src/app_sparkd/configurations/ophir_prod_live_wb/requirements.txt
SPARKD__RUNTIME_CONF_DIR=/home/dk/8000/sparkdata/conf
SPARKD__SHM_SIZE=8g
SPARKD__MEMORY=16g
@@ -1,5 +0,0 @@
numpy==2.2.6
pybit==5.11.0
requests==2.31.0
websocket-client==1.8.0
websockets==15.0.1
@@ -1,101 +0,0 @@
DeploymentType {
value {
type: "prod"
}
}
PublisherOptions {
value {
network_interface_a: 'enp193s0f0np0'
network_interface_b: 'enp193s0f1np1'
#these get overriden if not entered here
heartbeat_ms: 5000
heartbeat_boot_seconds: 60
skip_options: false
hot_initial: 1024
hot_growth: 1024
cold_initial: 8192
cold_growth: 2048
channel_prefix: ""
disable_heartbeat: false
}
}
CMEOptions {
value {
feed_engine {
name: "mdp3feed"
spin_time: 0
channels_per_thread: 3
data_wait: 10
udp_socket_buffer_size: 268435456
}
channel {
id: "*"
feed_engine: "mdp3feed"
use_tcp_replay: false
recovery_queue_size: 640000
lost_packet_wait_timeout_ms: 10
onixs_log_mode: CME_ONIXS_LOG_MODE_UNSPECIFIED
#max_gap_recovery_cache_size: 4
use_natural_refresh: false
join_snapshot_on_gap: false
}
}
}
Logging {
value {
initial_queue_size: 120001
max_queue_growth: 4
console {
default_level: "Info"
subsystem {
name: "md"
level: "Info"
}
subsystem {
name: "OrderMan"
level: "Info"
}
}
}
}
MarketDataConfig {
value {
glbx {
unique_check_value: 15
use_databento: false
}
# recording {
# venue: VENUE_GLBX
# num_of_seconds_to_run_file_writer: 300
# num_of_seconds_to_run_db_writer : 0
# n_book_levels: 10
# batch_size: 100 #for the db writer
# enable_book_recording: true
# enable_trade_recording: true
# enable_bbo_recording: false
# enable_tbbo_recording: false
# enable_misc_recording: true
#}
}
}
OrdermanCfg {
value {
executor {
thread_name: "oman_orders"
poll: true
hosted_actor: "MDSource"
hosted_actor: "OrderManager"
hosted_actor: "ExecutionGateway"
}
executor {
thread_name: "oman_slow"
poll: false
hosted_actor: "*"
}
fallback_cust_order_handling_inst: "Y"
}
}
@@ -1,61 +0,0 @@
SymbolLists {
value {
list {
key: "GlbxFutures"
symbol: "ES"
}
list {
key: "GlbxOptions"
symbol: "E1A"
symbol: "E1B"
symbol: "E1C"
symbol: "E1D"
symbol: "E2A"
symbol: "E2B"
symbol: "E2C"
symbol: "E2D"
symbol: "E3A"
symbol: "E3B"
symbol: "E3C"
symbol: "E3D"
symbol: "E4A"
symbol: "E4B"
symbol: "E4C"
symbol: "E4D"
symbol: "E5A"
symbol: "E5B"
symbol: "E5C"
symbol: "E5D"
symbol: "EW1"
symbol: "EW2"
symbol: "EW3"
symbol: "EW4"
symbol: "ESH9"
symbol: "ESZ6"
symbol: "ESH0"
symbol: "ESM6"
symbol: "ESZ7"
symbol: "ESH6"
symbol: "ESM7"
symbol: "ESZ8"
symbol: "ESH7"
symbol: "ESH8"
symbol: "ESU6"
symbol: "ESZ5"
symbol: "ESZ9"
symbol: "E1D"
symbol: "ESZ5"
symbol: "ES"
}
}
}
Symbols {
value {
venues {
name: "VENUE_GLBX"
future: @SymbolLists.list[GlbxFutures].symbol
option: @SymbolLists.list[GlbxOptions].symbol
}
}
}
@@ -0,0 +1,5 @@
SPARKD__CONFIG_DIR=src/app_sparkd/configurations/ophir_sim
SPARKD__DATA_DIR=/home/tns/8000/sparkdata/data
SPARKD__IMAGE=sparkd_symbols
SPARKD__PYTHON_REQUIREMENTS=src/app_sparkd/configurations/ophir_sim/requirements.txt
SPARKD__RUNTIME_CONF_DIR=/home/tns/8000/sparkdata/conf
@@ -1,12 +1,18 @@
DeploymentType {
JetFIX {
value {
type: "prod"
connection {
name: "glbx_1"
venue: VENUE_GLBX
max_order_msgs_per_window: 300
window_duration_msecs: 1000
}
}
}
PublisherOptions {
value {
network_interface_a: 'ens5'
network_interface_b: 'ens5'
network_interface_a: 'ens3f0np0'
network_interface_b: 'ens3f1np1'
#these get overriden if not entered here
heartbeat_ms: 5000
heartbeat_boot_seconds: 60
@@ -35,7 +41,7 @@ CMEOptions {
use_tcp_replay: false
recovery_queue_size: 640000
lost_packet_wait_timeout_ms: 10
onixs_log_mode: CME_ONIXS_LOG_MODE_UNSPECIFIED
onixs_log_mode: CME_ONIXS_LOG_MODE_REGULAR
#max_gap_recovery_cache_size: 4
use_natural_refresh: false
join_snapshot_on_gap: false
@@ -67,17 +73,32 @@ MarketDataConfig {
unique_check_value: 15
use_databento: false
}
# recording {
# venue: VENUE_GLBX
# num_of_seconds_to_run_file_writer: 300
# num_of_seconds_to_run_db_writer : 0
# n_book_levels: 10
# batch_size: 100 #for the db writer
# enable_book_recording: true
# enable_trade_recording: true
# enable_bbo_recording: false
# enable_tbbo_recording: false
# enable_misc_recording: true
#}
}
}
}
# JetFIX {
# value {
# #connection: @JetFIXSimConnection.sim
# connection {
# name: "mlx_004_54"
# venue: VENUE_GLBX
# socket_connect_host_ip: "69.50.112.191"
# socket_connect_port: 42876
# sender_compid: "MLX004"
# target_compid: "CME"
# target_subid: "54"
# cme_market_segment_id: 54
# start_time: "00:10:00"
# end_time: "23:55:00"
# start_day: "sunday"
# end_day: "friday"
# seconds_between_hbs: 30
# sender_subid: "BTS"
# use_ilink3: true
# # raw_data: "S4PMA"
# # auto_fix_seq_num: true
# }
# }
# }
@@ -1,4 +0,0 @@
SPARKD__CONFIG_DIR=src/app_sparkd/configurations/ophir_sim_replay
SPARKD__PYTHON_REQUIREMENTS=src/app_sparkd/configurations/ophir_sim_replay/requirements.txt
TZ=America/Chicago
SPARKD__MD_RECORDING_DIR=/home/wedbushprod/8000/md_recording
@@ -1 +0,0 @@
requests==2.31.0
@@ -1,46 +0,0 @@
SymbolLists {
value {
list {
key: "GlbxFutures"
symbol: "ES"
}
list {
key: "GlbxOptions"
symbol: "E1A"
symbol: "E1B"
symbol: "E1C"
symbol: "E1D"
symbol: "E2A"
symbol: "E2B"
symbol: "E2C"
symbol: "E2D"
symbol: "E3A"
symbol: "E3B"
symbol: "E3C"
symbol: "E3D"
symbol: "E4A"
symbol: "E4B"
symbol: "E4C"
symbol: "E4D"
symbol: "E5A"
symbol: "E5B"
symbol: "E5C"
symbol: "E5D"
symbol: "ES"
symbol: "EW1"
symbol: "EW2"
symbol: "EW3"
symbol: "EW4"
}
}
}
Symbols {
value {
venues {
name: "VENUE_GLBX"
future: @SymbolLists.list[GlbxFutures].symbol
option: @SymbolLists.list[GlbxOptions].symbol
}
}
}
@@ -1,9 +0,0 @@
SPARKD__CONFIG_DIR=src/app_sparkd/configurations/ophir_sim_replay_wb
SPARKD__DATA_DIR=/home/wedbushprod/9000/sparkdata/data
SPARKD__IMAGE=sparkd_symbols
SPARKD__PYTHON_REQUIREMENTS=src/app_sparkd/configurations/ophir_sim_replay_wb/requirements.txt
SPARKD__RUNTIME_CONF_DIR=/home/wedbushprod/9000/sparkdata/conf
SPARKD__MD_RECORDING_DIR=/home/wedbushprod/md_recording
SPARKD__CONFIG_PORT=9000
SPARKD__QUICKBUS_PORT=9001
SPARKD__SIM_FIX_PORT=9002
@@ -1,5 +0,0 @@
numpy==2.2.6
pybit==5.11.0
requests==2.31.0
websocket-client==1.8.0
websockets==15.0.1
@@ -1,46 +0,0 @@
JetFIX {
value {
connection {
name: "glbx_1"
venue: VENUE_GLBX
max_order_msgs_per_window: 300
window_duration_msecs: 1000
}
}
}
Ports {
value {
config_port: 9000
qbus_port: 9001
glbx_sim_fix_port: 9002
ice_sim_fix_port: 9003
}
}
Logging {
value {
initial_queue_size: 120001
max_queue_growth: 4
console {
default_level: "Info"
subsystem {
name: "md"
level: "Info"
}
subsystem {
name: "OrderMan"
level: "Info"
}
}
}
}
MarketDataConfig {
value {
replay {
venue: VENUE_GLBX
}
}
}
@@ -1,61 +0,0 @@
SymbolLists {
value {
list {
key: "GlbxFutures"
symbol: "ES"
}
list {
key: "GlbxOptions"
symbol: "E1A"
symbol: "E1B"
symbol: "E1C"
symbol: "E1D"
symbol: "E2A"
symbol: "E2B"
symbol: "E2C"
symbol: "E2D"
symbol: "E3A"
symbol: "E3B"
symbol: "E3C"
symbol: "E3D"
symbol: "E4A"
symbol: "E4B"
symbol: "E4C"
symbol: "E4D"
symbol: "E5A"
symbol: "E5B"
symbol: "E5C"
symbol: "E5D"
symbol: "EW1"
symbol: "EW2"
symbol: "EW3"
symbol: "EW4"
symbol: "ESH9"
symbol: "ESZ6"
symbol: "ESH0"
symbol: "ESM6"
symbol: "ESZ7"
symbol: "ESH6"
symbol: "ESM7"
symbol: "ESZ8"
symbol: "ESH7"
symbol: "ESH8"
symbol: "ESU6"
symbol: "ESZ5"
symbol: "ESZ9"
symbol: "E1D"
symbol: "ESZ5"
symbol: "ES"
}
}
}
Symbols {
value {
venues {
name: "VENUE_GLBX"
future: @SymbolLists.list[GlbxFutures].symbol
option: @SymbolLists.list[GlbxOptions].symbol
}
}
}
-55
View File
@@ -1,55 +0,0 @@
#!/usr/bin/env bash
init_timezone() {
tz="${1:-$TZ}"
zoneinfo_dir=/usr/share/zoneinfo
if [ -f "$zoneinfo_dir/$tz" -a "$(readlink -f /etc/localtime)" != "$zoneinfo_dir/$tz" ]; then
echo "Setting locales and timezone to $tz"
if [ -e /etc/localtime ]; then
sudo -n rm -f /etc/localtime
fi
sudo -n ln -snf "$zoneinfo_dir/$tz" /etc/localtime
echo $tz | sudo -n tee /etc/timezone > /dev/null
fi
}
load_env() {
f="$1"
if [ -e "$f" ]; then
echo "Sourcing $f"
set -a
. "$f"
set +a
fi
}
symlink() {
src="$1"
dst="$2"
if [ -L "$dst" ]; then
rm "$dst"
fi
ln -s "$src" "$dst"
}
roll_log() {
f="$1"
if [ -e "$f" ]; then
mv "$f" "${f}_$(date '+%Y%m%d-%H%M')"
fi
}
# Acquire sudo permission once for the script (needed for a few calls)
echo bts | sudo -S -v
data_root="${HOME:-/home/bts}/.local/share/bts/sparkd"
sudo -n chown -R bts:bts "$data_root"
load_env "$data_root/conf/.env.local"
init_timezone "$TZ"
roll_log "$data_root/data/logging.sparkd/log"
symlink "$data_root/conf/plugins" /home/bts/bin/plugins
if [ -e "/md_recording" -a ! -e "/home/bts/.local/share/bts/sparkd/data/md_recording" ]; then
symlink "/md_recording" /home/bts/.local/share/bts/sparkd/data/md_recording
fi
bash -c "${@:-./sparkd run}"
+2 -3
View File
@@ -17,6 +17,7 @@
#include "spark/orderman/OrderServiceServer.h"
#include "spark/orderman/events/TradeSummarySignalDispatcher.h"
#include "spark/orderman/order_factory/DynamicOrderRegistry.h"
#include "spark/os/os.h"
#include "spark/os/spark_data_directory.h"
#include "spark/persistence/PersistenceServiceServer.h"
#include "spark/plugin/SparkServices.h"
@@ -31,7 +32,6 @@
#include "sparkd/execution/execution_gateway_provider.h"
#include "sparkd/http/WebServer.h"
#include "sparkd/md/MarketDataAuxiliaryServiceServer.h"
#include "sparkd/md/market_data_session.h"
#include "sparkd/md/recording/MDRecorder.h"
#include "sparkd/position/MarginServiceServer.h"
#include "sparkd/position/PositionServiceServer.h"
@@ -46,7 +46,6 @@
namespace bts::cmds {
using bts::api::ServiceContext;
using bts::md::MarketDataSession;
using bts::md::MDClient;
using bts::md::TradeSummarySignalDispatcher;
using bts::metrics::MetricsContainer;
@@ -108,7 +107,7 @@ static void execute() {
auto py_plugin_man = std::make_shared<python_interop::PluginManager>();
// start work loop in background
py_plugin_man->start_work_thread();
MarketDataSession md_session{py_plugin_man};
md::cmds::Run::run(py_plugin_man);
api::synthetic::SyntheticSecurityService synthetic_service(sc);
bts::md::MDClient mdclient(
@@ -1,11 +1,11 @@
#include "DumpSecurity.h"
#include "spark/api/domain/SecurityType.h"
#include "spark/config/protos/market_data.pb.h"
#include "spark/core/TableFormatter.h"
#include "spark/domain_model/Security.h"
#include "spark/domain_model/Security.pb.h"
#include "spark/domain_model/SecurityType.h"
#include "spark/domain_model/Venue.h"
#include "spark/format/table.h"
#include "spark/md/Diag/ShmDumper.h"
#include "spark/md/SecurityDB.h"
#include "spark/md/SymbolLoader.h"
@@ -23,8 +23,7 @@ using bts::api::SecurityType;
using bts::api::SecurityType_Name;
using bts::api::Venue;
using bts::api::venue_parse_smart;
using bts::format::format_table;
using bts::format::detail::TableSchema;
using bts::core::TableFormatter;
using bts::md::securitytype_of;
using bts::md::SymbolLoader;
using bts::md::db::load_metadata;
@@ -70,7 +69,7 @@ void print_securities(function<bool(const Security &)> predicate) {
void print_db_securities(function<bool(const Security &)> predicate) {
vector<Security> secs;
const TableSchema<Security> schema{
const TableFormatter::Schema<Security> schema{
make_tuple(
"id", 12, [](const Security &s) { return std::to_string(s.id()); }),
make_tuple(
@@ -94,7 +93,7 @@ void print_db_securities(function<bool(const Security &)> predicate) {
secs.push_back(sec);
};
load_securities([](auto) { return true; }, on_sec);
format_table(std::cout, secs, schema);
TableFormatter::format(std::cout, secs, schema);
}
template <class T, class ParseT = function<bool(const string &, T *)>>
@@ -109,8 +109,7 @@ struct ExecutionGatewayProvider::PImpl {
return make_gw<ICEExecutionGateway>(conn, conn, *l, o);
case api::VENUE_GLBX:
if (conn.use_ilink3()) {
return make_gw<ilink3::GLBXiLink3ExecutionGateway>(
conn, conn, *l, o);
make_gw<ilink3::GLBXiLink3ExecutionGateway>(conn, conn, *l, o);
}
return make_gw<GLBXExecutionGateway>(conn, conn, *l, o);
case api::VENUE_DERIBIT:
@@ -23,7 +23,7 @@
#include "spark/api/services/native_order_type.h"
#include "spark/api/services/time_in_force.h"
#include "spark/config/protos/jetfix.pb.h"
#include "spark/core/time_stamp.h"
#include "spark/core/TimeStamp.h"
#include "spark/core/start_stop_state_machine.h"
#include "spark/domain/tick_utils.h"
#include "spark/domain_model/Security.h"
@@ -4,7 +4,7 @@
#include "spark/api/md/MarketDataConfig.pb.h"
#include "spark/api/md/MarketDataConfigUtils.h"
#include "spark/core/FMT.h"
#include "spark/core/time_span.h"
#include "spark/core/TimeSpan.h"
#include "spark/domain/DomainSecurityUtils.h"
#include "spark/domain/SecurityID.h"
#include "spark/domain_model/Venue.h"
@@ -141,6 +141,5 @@ MarketDataGateway::MarketDataGateway(
MarketDataGateway::~MarketDataGateway() = default;
void MarketDataGateway::start() { me_->start(); }
void MarketDataGateway::stop() { me_->stop(); }
} // namespace bts::md
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