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[SPARK-19140][SS]Allow update mode for non-aggregation streaming queries - #16520
[SPARK-19140][SS]Allow update mode for non-aggregation streaming queries#16520zsxwing wants to merge 4 commits into
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SparkQA
commented
Jan 10, 2017
Test build #71096 has finished for PR 16520 at commit
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brkyvz
commented
Jan 10, 2017
LGTM! ultra nit: |
| * - `complete`: all the rows in the streaming DataFrame/Dataset will be written to the sink | ||
| * every time these is some updates | ||
| * | ||
| * - `update`: only the rows that were updated in the streaming DataFrame/Dataset will |
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Could you also please update pyspark docs?
brkyvz
commented
Jan 10, 2017
Also could you please update pyspark docs? |
SparkQA
commented
Jan 10, 2017
Test build #71157 has finished for PR 16520 at commit
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| every time these is some updates | ||
| * `update`:only the rows that were updated in the streaming DataFrame/Dataset will be | ||
| written to the sink every time there are some updates. If the query doesn't contain | ||
| aggregations, it will be equivalent to the `append` mode. |
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nit: please remove the before append.
| every time these is some updates | ||
| * `update`:only the rows that were updated in the streaming DataFrame/Dataset will be | ||
| written to the sink every time there are some updates. If the query doesn't contain | ||
| aggregations, it will be equivalent to the `append` mode. |
| * OutputMode in which only the rows that were updated in the streaming DataFrame/Dataset will | ||
| * be written to the sink every time there are some updates. | ||
| * be written to the sink every time there are some updates. If the query doesn't contain | ||
| * aggregations, it will be equivalent to the `Append` mode. |
| * written to the sink every time these is some updates. This output mode can only be used in | ||
| * queries that contain aggregations. | ||
| * written to the sink every time these is some updates. If the query doesn't contain | ||
| * aggregations, it will be equivalent to the `Append` mode. |
brkyvz
commented
Jan 10, 2017
Left a nit (occurring multiple times), otherwise LGTM! |
brkyvz
commented
Jan 10, 2017
thanks LGTM! |
SparkQA
commented
Jan 10, 2017
Test build #71159 has finished for PR 16520 at commit
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SparkQA
commented
Jan 11, 2017
Test build #71168 has finished for PR 16520 at commit
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zsxwing
commented
Jan 11, 2017
Thanks. Merging to master and 2.1. |
…ries ## What changes were proposed in this pull request? This PR allow update mode for non-aggregation streaming queries. It will be same as the append mode if a query has no aggregations. ## How was this patch tested? Jenkins Author: Shixiong Zhu <shixiong@databricks.com> Closes#16520 from zsxwing/update-without-agg. (cherry picked from commit bc6c56e) Signed-off-by: Shixiong Zhu <shixiong@databricks.com>
…ries ## What changes were proposed in this pull request? This PR allow update mode for non-aggregation streaming queries. It will be same as the append mode if a query has no aggregations. ## How was this patch tested? Jenkins Author: Shixiong Zhu <shixiong@databricks.com> Closesapache#16520 from zsxwing/update-without-agg.
…ries ## What changes were proposed in this pull request? This PR allow update mode for non-aggregation streaming queries. It will be same as the append mode if a query has no aggregations. ## How was this patch tested? Jenkins Author: Shixiong Zhu <shixiong@databricks.com> Closesapache#16520 from zsxwing/update-without-agg.
What changes were proposed in this pull request?
This PR allow update mode for non-aggregation streaming queries. It will be same as the append mode if a query has no aggregations.
How was this patch tested?
Jenkins