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https://issues.apache.org/jira/browse/BEAM-5724?focusedWorklogId=159220&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-159220
]
ASF GitHub Bot logged work on BEAM-5724:
----------------------------------------
Author: ASF GitHub Bot
Created on: 26/Oct/18 15:37
Start Date: 26/Oct/18 15:37
Worklog Time Spent: 10m
Work Description: tweise commented on a change in pull request #6835:
[BEAM-5724] Generalize flink executable context to allow more than 1 worker
process per task manager
URL: https://github.com/apache/beam/pull/6835#discussion_r228573111
##########
File path:
runners/flink/src/main/java/org/apache/beam/runners/flink/FlinkJobServerDriver.java
##########
@@ -90,9 +89,9 @@ String getFlinkMasterUrl() {
name = "--sdk-worker-parallelism",
usage = "Default parallelism for SDK worker processes (see portable
pipeline options)"
)
- String sdkWorkerParallelism =
PortablePipelineOptions.SDK_WORKER_PARALLELISM_PIPELINE;
+ Long sdkWorkerParallelism = 1L;
- String getSdkWorkerParallelism() {
+ Long getSdkWorkerParallelism() {
Review comment:
Looking at `FlinkPipelineOptions`, we use the wrapper types everywhere. I
would like to to keep it `Long` for consistency (does `long` even work)? Also,
I prefer `null` to indicate "not present" or "not set" over -1.
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Issue Time Tracking
-------------------
Worklog Id: (was: 159220)
Time Spent: 2h 10m (was: 2h)
> Beam creates too many sdk_worker processes with --sdk-worker-parallelism=stage
> ------------------------------------------------------------------------------
>
> Key: BEAM-5724
> URL: https://issues.apache.org/jira/browse/BEAM-5724
> Project: Beam
> Issue Type: Improvement
> Components: runner-flink
> Reporter: Micah Wylde
> Assignee: Micah Wylde
> Priority: Major
> Labels: portability-flink
> Time Spent: 2h 10m
> Remaining Estimate: 0h
>
> In the flink portable runner, we currently support two options for sdk worker
> parallelism (how many python worker processes we run). The default is one per
> taskmanager, and with --sdk-worker-parallelism=stage you get one per stage.
> However, for complex pipelines with many beam operators that get fused into a
> single flink task this can produce hundreds of worker processes per TM.
> Flink uses the notion of task slots to limit resource utilization on a box; I
> think that beam should try to respect those limits as well. I think ideally
> we'd produce a single python worker per task slot/flink operator chain.
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