[
https://issues.apache.org/jira/browse/BEAM-10524?focusedWorklogId=473835&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-473835
]
ASF GitHub Bot logged work on BEAM-10524:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 24/Aug/20 11:03
Start Date: 24/Aug/20 11:03
Worklog Time Spent: 10m
Work Description: codecov[bot] edited a comment on pull request #12671:
URL: https://github.com/apache/beam/pull/12671#issuecomment-679014547
# [Codecov](https://codecov.io/gh/apache/beam/pull/12671?src=pr&el=h1) Report
> :exclamation: No coverage uploaded for pull request base
(`master@f7b49b6`). [Click here to learn what that
means](https://docs.codecov.io/docs/error-reference#section-missing-base-commit).
> The diff coverage is `n/a`.
[](https://codecov.io/gh/apache/beam/pull/12671?src=pr&el=tree)
```diff
@@ Coverage Diff @@
## master #12671 +/- ##
=========================================
Coverage ? 34.34%
=========================================
Files ? 692
Lines ? 81961
Branches ? 9265
=========================================
Hits ? 28147
Misses ? 53391
Partials ? 423
```
| [Impacted
Files](https://codecov.io/gh/apache/beam/pull/12671?src=pr&el=tree) | Coverage
Δ | |
|---|---|---|
|
[runners/job/utils.py](https://codecov.io/gh/apache/beam/pull/12671/diff?src=pr&el=tree#diff-cnVubmVycy9qb2IvdXRpbHMucHk=)
| `57.14% <0.00%> (ø)` | |
|
[io/external/kafka.py](https://codecov.io/gh/apache/beam/pull/12671/diff?src=pr&el=tree#diff-aW8vZXh0ZXJuYWwva2Fma2EucHk=)
| `0.00% <0.00%> (ø)` | |
|
[transforms/window\_test.py](https://codecov.io/gh/apache/beam/pull/12671/diff?src=pr&el=tree#diff-dHJhbnNmb3Jtcy93aW5kb3dfdGVzdC5weQ==)
| `35.95% <0.00%> (ø)` | |
|
[io/gcp/dicomio\_integration\_test.py](https://codecov.io/gh/apache/beam/pull/12671/diff?src=pr&el=tree#diff-aW8vZ2NwL2RpY29taW9faW50ZWdyYXRpb25fdGVzdC5weQ==)
| `36.13% <0.00%> (ø)` | |
|
[transforms/sql.py](https://codecov.io/gh/apache/beam/pull/12671/diff?src=pr&el=tree#diff-dHJhbnNmb3Jtcy9zcWwucHk=)
| `85.71% <0.00%> (ø)` | |
|
[dataframe/expressions\_test.py](https://codecov.io/gh/apache/beam/pull/12671/diff?src=pr&el=tree#diff-ZGF0YWZyYW1lL2V4cHJlc3Npb25zX3Rlc3QucHk=)
| `30.00% <0.00%> (ø)` | |
|
[runners/interactive/pipeline\_fragment.py](https://codecov.io/gh/apache/beam/pull/12671/diff?src=pr&el=tree#diff-cnVubmVycy9pbnRlcmFjdGl2ZS9waXBlbGluZV9mcmFnbWVudC5weQ==)
| `13.39% <0.00%> (ø)` | |
|
[examples/complete/top\_wikipedia\_sessions\_test.py](https://codecov.io/gh/apache/beam/pull/12671/diff?src=pr&el=tree#diff-ZXhhbXBsZXMvY29tcGxldGUvdG9wX3dpa2lwZWRpYV9zZXNzaW9uc190ZXN0LnB5)
| `76.47% <0.00%> (ø)` | |
|
[...flow/internal/clients/dataflow/message\_matchers.py](https://codecov.io/gh/apache/beam/pull/12671/diff?src=pr&el=tree#diff-cnVubmVycy9kYXRhZmxvdy9pbnRlcm5hbC9jbGllbnRzL2RhdGFmbG93L21lc3NhZ2VfbWF0Y2hlcnMucHk=)
| `18.75% <0.00%> (ø)` | |
|
[io/gcp/gcsio\_integration\_test.py](https://codecov.io/gh/apache/beam/pull/12671/diff?src=pr&el=tree#diff-aW8vZ2NwL2djc2lvX2ludGVncmF0aW9uX3Rlc3QucHk=)
| `34.44% <0.00%> (ø)` | |
| ... and [682
more](https://codecov.io/gh/apache/beam/pull/12671/diff?src=pr&el=tree-more) | |
------
[Continue to review full report at
Codecov](https://codecov.io/gh/apache/beam/pull/12671?src=pr&el=continue).
> **Legend** - [Click here to learn
more](https://docs.codecov.io/docs/codecov-delta)
> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`
> Powered by
[Codecov](https://codecov.io/gh/apache/beam/pull/12671?src=pr&el=footer). Last
update
[f7b49b6...c815e8e](https://codecov.io/gh/apache/beam/pull/12671?src=pr&el=lastupdated).
Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).
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Issue Time Tracking
-------------------
Worklog Id: (was: 473835)
Time Spent: 1h (was: 50m)
> Default decoder for ReadFromBigQuery does not support repeatable fields
> -----------------------------------------------------------------------
>
> Key: BEAM-10524
> URL: https://issues.apache.org/jira/browse/BEAM-10524
> Project: Beam
> Issue Type: Bug
> Components: sdk-py-core
> Affects Versions: 2.23.0
> Reporter: Roman Frigg
> Assignee: Kamil Wasilewski
> Priority: P2
> Time Spent: 1h
> Remaining Estimate: 0h
>
> The code in
> [https://github.com/apache/beam/blob/master/sdks/python/apache_beam/io/gcp/bigquery.py#L570]
> handles decoding fields with mode "REPEATABLE" incorrectly. This bug leads to
> the following stack trace when running a query that returns results with
> repeatable fields represented as JSON arrays. The corresponding stack trace
> looks as follows:
> {noformat}
> ...
> File "apache_beam/runners/common.py", line 1095, in
> apache_beam.runners.common._OutputProcessor.process_outputs
> File
> "/Users/roman/src/ml/data-pipelines/etl/venv/lib/python3.6/site-packages/apache_beam/io/concat_source.py",
> line 89, in read
> range_tracker.sub_range_tracker(source_ix)):
> File
> "/Users/roman/src/ml/data-pipelines/etl/venv/lib/python3.6/site-packages/apache_beam/io/textio.py",
> line 210, in read_records
> yield self._coder.decode(record)
> File
> "/Users/roman/src/ml/data-pipelines/etl/venv/lib/python3.6/site-packages/apache_beam/io/gcp/bigquery.py",
> line 566, in decode
> return self._decode_with_schema(value, self.fields)
> File
> "/Users/roman/src/ml/data-pipelines/etl/venv/lib/python3.6/site-packages/apache_beam/io/gcp/bigquery.py",
> line 580, in _decode_with_schema
> value[field.name], field.fields)
> File
> "/Users/roman/src/ml/data-pipelines/etl/venv/lib/python3.6/site-packages/apache_beam/io/gcp/bigquery.py",
> line 575, in _decode_with_schema
> value[field.name] = None
> TypeError: list indices must be integers or slices, not str{noformat}
>
> The fix could look something like this (untested):
> {code:python}
> def _decode_with_schema(self, value, schema_fields):
> for field in schema_fields:
> if field.name not in value:
> # The field exists in the schema, but it doesn't exist in this
> row.
> # It probably means its value was null, as the extract to JSON job
> # doesn't preserve null fields
> value[field.name] = None
> continue
> if field.type == 'RECORD':
> if field.mode == 'REPEATED':
> value[field.name] = [self._decode_with_schema(val,
> field.fields)
> for val in value[field.name]]
> else:
> value[field.name] =
> self._decode_with_schema(value[field.name],
> field.fields)
> else:
> try:
> converter = self._converters[field.type]
> except KeyError:
> # No need to do any conversion
> continue
> if field.mode == 'REPEATED':
> value[field.name] = map(converter, value[field.name])
> else:
> value[field.name] = converter(value[field.name])
> return value
> {code}
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