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https://issues.apache.org/jira/browse/BEAM-7495?focusedWorklogId=288936&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-288936
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ASF GitHub Bot logged work on BEAM-7495:
----------------------------------------
Author: ASF GitHub Bot
Created on: 05/Aug/19 13:20
Start Date: 05/Aug/19 13:20
Worklog Time Spent: 10m
Work Description: chamikaramj commented on pull request #9156:
[BEAM-7495] Add fine-grained progress reporting
URL: https://github.com/apache/beam/pull/9156#discussion_r310590568
##########
File path:
sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryStorageStreamSource.java
##########
@@ -165,8 +165,13 @@ public String toString() {
private GenericRecord record;
private T current;
private long currentOffset;
+
+ // Values used for progress reporting.
private double fractionConsumed;
- private double fractionConsumedFromLastResponse;
+ private double fractionConsumedFromPreviousResponse;
+ private double fractionConsumedFromCurrentResponse;
+ private long rowsReadFromCurrentResponse;
Review comment:
nit: could you add small comments describing these ?
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Issue Time Tracking
-------------------
Worklog Id: (was: 288936)
Time Spent: 8h 20m (was: 8h 10m)
Remaining Estimate: 495h 40m (was: 495h 50m)
> Add support for dynamic worker re-balancing when reading BigQuery data using
> Cloud Dataflow
> -------------------------------------------------------------------------------------------
>
> Key: BEAM-7495
> URL: https://issues.apache.org/jira/browse/BEAM-7495
> Project: Beam
> Issue Type: New Feature
> Components: io-java-gcp
> Reporter: Aryan Naraghi
> Assignee: Aryan Naraghi
> Priority: Major
> Original Estimate: 504h
> Time Spent: 8h 20m
> Remaining Estimate: 495h 40m
>
> Currently, the BigQuery connector for reading data using the BigQuery Storage
> API does not support any of the facilities on the source for Dataflow to
> split streams.
>
> On the server side, the BigQuery Storage API supports splitting streams at a
> fraction. By adding support to the connector, we enable Dataflow to split
> streams, which unlocks dynamic worker re-balancing.
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