[
https://issues.apache.org/jira/browse/BEAM-7917?focusedWorklogId=293078&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-293078
]
ASF GitHub Bot logged work on BEAM-7917:
----------------------------------------
Author: ASF GitHub Bot
Created on: 12/Aug/19 11:17
Start Date: 12/Aug/19 11:17
Worklog Time Spent: 10m
Work Description: sadovnychyi commented on pull request #9294:
[BEAM-7917] Fix datastore writes failing on retry
URL: https://github.com/apache/beam/pull/9294#discussion_r312875823
##########
File path: sdks/python/apache_beam/io/gcp/datastore/v1new/helper.py
##########
@@ -99,6 +105,19 @@ def write_mutations(batch, throttler, rpc_stats_callback,
throttle_delay=1):
rpc_stats_callback(throttled_secs=throttle_delay)
try:
+ try:
+ batch.begin()
+ except ValueError:
+ # batch has already been started previously (and failed),
+ # we need to build it again from scratch (BEAM-7917)
+ batch = get_client(batch.project, batch.namespace).batch()
+ for mutation_type, mutation_element in mutations:
Review comment:
*Maybe* we could reconstruct it from scratch by using
[https://github.com/googleapis/google-cloud-python/blob/master/datastore/google/cloud/datastore/helpers.py#L105](https://github.com/googleapis/google-cloud-python/blob/master/datastore/google/cloud/datastore/helpers.py#L105)
(or key_from_protobuf) assuming that we could get those from batch.mutations.
Then we don't have to pass them explicitly but we will perform more
encoding/decoding when errors occur.
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Issue Time Tracking
-------------------
Worklog Id: (was: 293078)
Time Spent: 1.5h (was: 1h 20m)
> Python datastore v1new fails on retry
> -------------------------------------
>
> Key: BEAM-7917
> URL: https://issues.apache.org/jira/browse/BEAM-7917
> Project: Beam
> Issue Type: Bug
> Components: io-py-gcp, runner-dataflow
> Affects Versions: 2.14.0
> Environment: Python 3.7 on Dataflow
> Reporter: Dmytro Sadovnychyi
> Assignee: Dmytro Sadovnychyi
> Priority: Major
> Labels: pull-request-available
> Time Spent: 1.5h
> Remaining Estimate: 0h
>
> Traceback (most recent call last):
> File "apache_beam/runners/common.py", line 782, in
> apache_beam.runners.common.DoFnRunner.process
> File "apache_beam/runners/common.py", line 454, in
> apache_beam.runners.common.SimpleInvoker.invoke_process
> File
> "/usr/local/lib/python3.7/site-packages/apache_beam/io/gcp/datastore/v1new/datastoreio.py",
> line 334, in process
> self._flush_batch()
> File
> "/usr/local/lib/python3.7/site-packages/apache_beam/io/gcp/datastore/v1new/datastoreio.py",
> line 349, in _flush_batch
> throttle_delay=util.WRITE_BATCH_TARGET_LATENCY_MS // 1000)
> File "/usr/local/lib/python3.7/site-packages/apache_beam/utils/retry.py",
> line 197, in wrapper
> return fun(*args, **kwargs)
> File
> "/usr/local/lib/python3.7/site-packages/apache_beam/io/gcp/datastore/v1new/helper.py",
> line 99, in write_mutations
> batch.commit()
> File
> "/usr/local/lib/python3.7/site-packages/google/cloud/datastore/batch.py",
> line 271, in commit
> raise ValueError("Batch must be in progress to commit()")
> ValueError: Batch must be in progress to commit()
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