[jira] [Updated] (BEAM-8367) Python BigQuery sink should use unique IDs for mode STREAMING_INSERTS
[ https://issues.apache.org/jira/browse/BEAM-8367?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Chamikara Madhusanka Jayalath updated BEAM-8367: Fix Version/s: 2.17.0 > Python BigQuery sink should use unique IDs for mode STREAMING_INSERTS > - > > Key: BEAM-8367 > URL: https://issues.apache.org/jira/browse/BEAM-8367 > Project: Beam > Issue Type: Bug > Components: sdk-py-core >Reporter: Chamikara Madhusanka Jayalath >Assignee: Pablo Estrada >Priority: Blocker > Fix For: 2.17.0 > > Time Spent: 50m > Remaining Estimate: 0h > > Unique IDs ensure (best effort) that writes to BigQuery are idempotent, for > example, we don't write the same record twice in a VM failure. > > Currently Python BQ sink insert BQ IDs here but they'll be re-generated in a > VM failure resulting in data duplication. > [https://github.com/apache/beam/blob/master/sdks/python/apache_beam/io/gcp/bigquery.py#L766] > > Correct fix is to do a Reshuffle to checkpoint unique IDs once they are > generated, similar to how Java BQ sink operates. > [https://github.com/apache/beam/blob/dcf6ad301069e4d2cfaec5db6b178acb7bb67f49/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/StreamingWriteTables.java#L225] > > Pablo, can you do an initial assessment here ? > I think this is a relatively small fix but I might be wrong. -- This message was sent by Atlassian Jira (v8.3.4#803005)
[jira] [Updated] (BEAM-8367) Python BigQuery sink should use unique IDs for mode STREAMING_INSERTS
[ https://issues.apache.org/jira/browse/BEAM-8367?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Chamikara Madhusanka Jayalath updated BEAM-8367: Priority: Blocker (was: Major) > Python BigQuery sink should use unique IDs for mode STREAMING_INSERTS > - > > Key: BEAM-8367 > URL: https://issues.apache.org/jira/browse/BEAM-8367 > Project: Beam > Issue Type: Bug > Components: sdk-py-core >Reporter: Chamikara Madhusanka Jayalath >Assignee: Pablo Estrada >Priority: Blocker > Time Spent: 50m > Remaining Estimate: 0h > > Unique IDs ensure (best effort) that writes to BigQuery are idempotent, for > example, we don't write the same record twice in a VM failure. > > Currently Python BQ sink insert BQ IDs here but they'll be re-generated in a > VM failure resulting in data duplication. > [https://github.com/apache/beam/blob/master/sdks/python/apache_beam/io/gcp/bigquery.py#L766] > > Correct fix is to do a Reshuffle to checkpoint unique IDs once they are > generated, similar to how Java BQ sink operates. > [https://github.com/apache/beam/blob/dcf6ad301069e4d2cfaec5db6b178acb7bb67f49/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/StreamingWriteTables.java#L225] > > Pablo, can you do an initial assessment here ? > I think this is a relatively small fix but I might be wrong. -- This message was sent by Atlassian Jira (v8.3.4#803005)
[jira] [Updated] (BEAM-8367) Python BigQuery sink should use unique IDs for mode STREAMING_INSERTS
[ https://issues.apache.org/jira/browse/BEAM-8367?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Pablo Estrada updated BEAM-8367: Status: Open (was: Triage Needed) > Python BigQuery sink should use unique IDs for mode STREAMING_INSERTS > - > > Key: BEAM-8367 > URL: https://issues.apache.org/jira/browse/BEAM-8367 > Project: Beam > Issue Type: Bug > Components: sdk-py-core >Reporter: Chamikara Madhusanka Jayalath >Assignee: Pablo Estrada >Priority: Major > > Unique IDs ensure (best effort) that writes to BigQuery are idempotent, for > example, we don't write the same record twice in a VM failure. > > Currently Python BQ sink insert BQ IDs here but they'll be re-generated in a > VM failure resulting in data duplication. > [https://github.com/apache/beam/blob/master/sdks/python/apache_beam/io/gcp/bigquery.py#L766] > > Correct fix is to do a Reshuffle to checkpoint unique IDs once they are > generated, similar to how Java BQ sink operates. > [https://github.com/apache/beam/blob/dcf6ad301069e4d2cfaec5db6b178acb7bb67f49/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/StreamingWriteTables.java#L225] > > Pablo, can you do an initial assessment here ? > I think this is a relatively small fix but I might be wrong. -- This message was sent by Atlassian Jira (v8.3.4#803005)
[jira] [Updated] (BEAM-8367) Python BigQuery sink should use unique IDs for mode STREAMING_INSERTS
[ https://issues.apache.org/jira/browse/BEAM-8367?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Chamikara Madhusanka Jayalath updated BEAM-8367: Issue Type: Bug (was: Improvement) > Python BigQuery sink should use unique IDs for mode STREAMING_INSERTS > - > > Key: BEAM-8367 > URL: https://issues.apache.org/jira/browse/BEAM-8367 > Project: Beam > Issue Type: Bug > Components: sdk-py-core >Reporter: Chamikara Madhusanka Jayalath >Assignee: Pablo Estrada >Priority: Major > > Unique IDs ensure (best effort) that writes to BigQuery are idempotent, for > example, we don't write the same record twice in a VM failure. > > Currently Python BQ sink insert BQ IDs here but they'll be re-generated in a > VM failure resulting in data duplication. > [https://github.com/apache/beam/blob/master/sdks/python/apache_beam/io/gcp/bigquery.py#L766] > > Correct fix is to do a Reshuffle to checkpoint unique IDs once they are > generated, similar to how Java BQ sink operates. > [https://github.com/apache/beam/blob/dcf6ad301069e4d2cfaec5db6b178acb7bb67f49/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/StreamingWriteTables.java#L225] > > Pablo, can you do an initial assessment here ? > I think this is a relatively small fix but I might be wrong. -- This message was sent by Atlassian Jira (v8.3.4#803005)
