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Posted to reviews@spark.apache.org by zsxwing <gi...@git.apache.org> on 2017/01/09 22:01:05 UTC
[GitHub] spark pull request #16520: [SPARK-19140][SS]Allow update mode for non-aggreg...
GitHub user zsxwing opened a pull request:
https://github.com/apache/spark/pull/16520
[SPARK-19140][SS]Allow update mode for non-aggregation streaming queries
## 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
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/zsxwing/spark update-without-agg
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/16520.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #16520
----
commit 7d62de4297dca278f711ee13ba4cc4f168bf325b
Author: Shixiong Zhu <sh...@databricks.com>
Date: 2017-01-09T21:56:22Z
Allow update mode for non-aggregation streaming queries
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[GitHub] spark pull request #16520: [SPARK-19140][SS]Allow update mode for non-aggreg...
Posted by brkyvz <gi...@git.apache.org>.
Github user brkyvz commented on a diff in the pull request:
https://github.com/apache/spark/pull/16520#discussion_r95479800
--- Diff: python/pyspark/sql/streaming.py ---
@@ -779,15 +783,20 @@ def start(self, path=None, format=None, partitionBy=None, queryName=None, **opti
:param path: the path in a Hadoop supported file system
:param format: the format used to save
-
- * ``append``: Append contents of this :class:`DataFrame` to existing data.
- * ``overwrite``: Overwrite existing data.
- * ``ignore``: Silently ignore this operation if data already exists.
- * ``error`` (default case): Throw an exception if data already exists.
+ :param outputMode: specifies how data of a streaming DataFrame/Dataset is written to a
+ streaming sink.
+
+ * `append`:Only the new rows in the streaming DataFrame/Dataset will be written to the
+ sink
+ * `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 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.
--- End diff --
ditto
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[GitHub] spark issue #16520: [SPARK-19140][SS]Allow update mode for non-aggregation s...
Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/16520
**[Test build #71159 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/71159/testReport)** for PR 16520 at commit [`e4f2403`](https://github.com/apache/spark/commit/e4f240341b9dc9231c9d02ffeb6a79f066c34567).
* This patch passes all tests.
* This patch merges cleanly.
* This patch adds no public classes.
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[GitHub] spark pull request #16520: [SPARK-19140][SS]Allow update mode for non-aggreg...
Posted by brkyvz <gi...@git.apache.org>.
Github user brkyvz commented on a diff in the pull request:
https://github.com/apache/spark/pull/16520#discussion_r95479817
--- Diff: sql/catalyst/src/main/java/org/apache/spark/sql/streaming/OutputMode.java ---
@@ -57,7 +57,8 @@ public static OutputMode Complete() {
/**
* 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.
--- End diff --
ditto
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[GitHub] spark issue #16520: [SPARK-19140][SS]Allow update mode for non-aggregation s...
Posted by AmplabJenkins <gi...@git.apache.org>.
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[GitHub] spark issue #16520: [SPARK-19140][SS]Allow update mode for non-aggregation s...
Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/16520
**[Test build #71096 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/71096/testReport)** for PR 16520 at commit [`7d62de4`](https://github.com/apache/spark/commit/7d62de4297dca278f711ee13ba4cc4f168bf325b).
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[GitHub] spark issue #16520: [SPARK-19140][SS]Allow update mode for non-aggregation s...
Posted by brkyvz <gi...@git.apache.org>.
Github user brkyvz commented on the issue:
https://github.com/apache/spark/pull/16520
LGTM! ultra nit: `it will be equivalent to Append mode` for some reason sounds better to me when reading it than `it will be same as the Append mode`.
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[GitHub] spark pull request #16520: [SPARK-19140][SS]Allow update mode for non-aggreg...
Posted by brkyvz <gi...@git.apache.org>.
Github user brkyvz commented on a diff in the pull request:
https://github.com/apache/spark/pull/16520#discussion_r95479831
--- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/streaming/InternalOutputModes.scala ---
@@ -40,8 +40,8 @@ private[sql] object InternalOutputModes {
/**
* OutputMode in which only the rows in the streaming DataFrame/Dataset that were updated will be
- * 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.
--- End diff --
ditto
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[GitHub] spark issue #16520: [SPARK-19140][SS]Allow update mode for non-aggregation s...
Posted by brkyvz <gi...@git.apache.org>.
Github user brkyvz commented on the issue:
https://github.com/apache/spark/pull/16520
Left a nit (occurring multiple times), otherwise LGTM!
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[GitHub] spark pull request #16520: [SPARK-19140][SS]Allow update mode for non-aggreg...
Posted by asfgit <gi...@git.apache.org>.
Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/16520
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[GitHub] spark issue #16520: [SPARK-19140][SS]Allow update mode for non-aggregation s...
Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/16520
**[Test build #71168 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/71168/testReport)** for PR 16520 at commit [`889315d`](https://github.com/apache/spark/commit/889315dbd02e1d0e5572ab1ab68aa7dd806748d0).
* This patch passes all tests.
* This patch merges cleanly.
* This patch adds no public classes.
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[GitHub] spark pull request #16520: [SPARK-19140][SS]Allow update mode for non-aggreg...
Posted by brkyvz <gi...@git.apache.org>.
Github user brkyvz commented on a diff in the pull request:
https://github.com/apache/spark/pull/16520#discussion_r95284636
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/streaming/DataStreamWriter.scala ---
@@ -58,7 +62,9 @@ final class DataStreamWriter[T] private[sql](ds: Dataset[T]) {
* the sink
* - `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
--- End diff --
Could you also please update pyspark docs?
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**[Test build #71159 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/71159/testReport)** for PR 16520 at commit [`e4f2403`](https://github.com/apache/spark/commit/e4f240341b9dc9231c9d02ffeb6a79f066c34567).
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Posted by brkyvz <gi...@git.apache.org>.
Github user brkyvz commented on the issue:
https://github.com/apache/spark/pull/16520
Also could you please update pyspark docs?
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[GitHub] spark pull request #16520: [SPARK-19140][SS]Allow update mode for non-aggreg...
Posted by brkyvz <gi...@git.apache.org>.
Github user brkyvz commented on a diff in the pull request:
https://github.com/apache/spark/pull/16520#discussion_r95479783
--- Diff: python/pyspark/sql/streaming.py ---
@@ -665,6 +665,9 @@ def outputMode(self, outputMode):
the sink
* `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 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.
--- End diff --
nit: please remove `the` before `append`.
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Github user brkyvz commented on the issue:
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thanks LGTM!
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[GitHub] spark issue #16520: [SPARK-19140][SS]Allow update mode for non-aggregation s...
Posted by zsxwing <gi...@git.apache.org>.
Github user zsxwing commented on the issue:
https://github.com/apache/spark/pull/16520
Thanks. Merging to master and 2.1.
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**[Test build #71157 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/71157/testReport)** for PR 16520 at commit [`9f2d877`](https://github.com/apache/spark/commit/9f2d8773fea74927b4aa37746e52e484fccd3d61).
* This patch **fails Python style tests**.
* This patch merges cleanly.
* This patch adds no public classes.
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**[Test build #71096 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/71096/testReport)** for PR 16520 at commit [`7d62de4`](https://github.com/apache/spark/commit/7d62de4297dca278f711ee13ba4cc4f168bf325b).
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