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Posted to reviews@spark.apache.org by marmbrus <gi...@git.apache.org> on 2017/05/22 20:01:06 UTC
[GitHub] spark pull request #18065: [SPARK-20844] Remove experimental from Structured...
GitHub user marmbrus opened a pull request:
https://github.com/apache/spark/pull/18065
[SPARK-20844] Remove experimental from Structured Streaming APIs
Now that Structured Streaming has been out for several Spark release and has large production use cases, the `Experimental` label is no longer appropriate. I've left `InterfaceStability.Evolving` however, as I think we may make a few changes to the pluggable Source & Sink API in Spark 2.3.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/marmbrus/spark streamingGA
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/18065.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 #18065
----
commit fe03241d56899af9fa9cc4e63f4f97061bbb8b74
Author: Michael Armbrust <mi...@databricks.com>
Date: 2017-05-22T19:55:31Z
[SPARK-20844] Remove experimental from Structured Streaming APIs
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[GitHub] spark issue #18065: [SPARK-20844] Remove experimental from Structured Stream...
Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/18065
**[Test build #77317 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/77317/testReport)** for PR 18065 at commit [`8221c01`](https://github.com/apache/spark/commit/8221c01c0d182ce27ee1051b0bb1d8581d7fce23).
* This patch passes all tests.
* This patch merges cleanly.
* This patch adds no public classes.
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[GitHub] spark issue #18065: [SPARK-20844] Remove experimental from Structured Stream...
Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/18065
**[Test build #77203 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/77203/testReport)** for PR 18065 at commit [`fe03241`](https://github.com/apache/spark/commit/fe03241d56899af9fa9cc4e63f4f97061bbb8b74).
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[GitHub] spark issue #18065: [SPARK-20844] Remove experimental from Structured Stream...
Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/18065
**[Test build #77197 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/77197/testReport)** for PR 18065 at commit [`fe03241`](https://github.com/apache/spark/commit/fe03241d56899af9fa9cc4e63f4f97061bbb8b74).
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[GitHub] spark issue #18065: [SPARK-20844] Remove experimental from Structured Stream...
Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/18065
Merged build finished. Test PASSed.
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[GitHub] spark pull request #18065: [SPARK-20844] Remove experimental from Structured...
Posted by tdas <gi...@git.apache.org>.
Github user tdas commented on a diff in the pull request:
https://github.com/apache/spark/pull/18065#discussion_r118196838
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/functions.scala ---
@@ -2800,8 +2800,6 @@ object functions {
* @group datetime_funcs
* @since 2.0.0
*/
- @Experimental
- @InterfaceStability.Evolving
--- End diff --
did you intend to remove the `evolving` here?
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[GitHub] spark issue #18065: [SPARK-20844] Remove experimental from Structured Stream...
Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/18065
Merged build finished. Test FAILed.
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[GitHub] spark pull request #18065: [SPARK-20844] Remove experimental from Structured...
Posted by tdas <gi...@git.apache.org>.
Github user tdas commented on a diff in the pull request:
https://github.com/apache/spark/pull/18065#discussion_r118393568
--- Diff: sql/core/src/main/java/org/apache/spark/sql/streaming/Trigger.java ---
@@ -21,17 +21,14 @@
import scala.concurrent.duration.Duration;
-import org.apache.spark.annotation.Experimental;
import org.apache.spark.annotation.InterfaceStability;
import org.apache.spark.sql.execution.streaming.OneTimeTrigger$;
/**
- * :: Experimental ::
* Policy used to indicate how often results should be produced by a [[StreamingQuery]].
*
* @since 2.0.0
*/
-@Experimental
@InterfaceStability.Evolving
public class Trigger {
--- End diff --
This file has more places with "Experimental" in the scala docs
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[GitHub] spark issue #18065: [SPARK-20844] Remove experimental from Structured Stream...
Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/18065
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[GitHub] spark issue #18065: [SPARK-20844] Remove experimental from Structured Stream...
Posted by zsxwing <gi...@git.apache.org>.
Github user zsxwing commented on the issue:
https://github.com/apache/spark/pull/18065
LGTM. Merging to master and 2.2.
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[GitHub] spark issue #18065: [SPARK-20844] Remove experimental from Structured Stream...
Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/18065
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[GitHub] spark issue #18065: [SPARK-20844] Remove experimental from Structured Stream...
Posted by tdas <gi...@git.apache.org>.
Github user tdas commented on the issue:
https://github.com/apache/spark/pull/18065
Other scala class that are still marked experimental are
- FlatMapGroupsWithStateFunction
- GroupState
- GroupStateTimeout
Not sure if you missed or you intentionally kept them as experimental. Since the mapGroupsWithState is new, I think its better to actually keep them experimental.
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[GitHub] spark issue #18065: [SPARK-20844] Remove experimental from Structured Stream...
Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/18065
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[GitHub] spark pull request #18065: [SPARK-20844] Remove experimental from Structured...
Posted by marmbrus <gi...@git.apache.org>.
Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/18065#discussion_r118390750
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/functions.scala ---
@@ -2800,8 +2800,6 @@ object functions {
* @group datetime_funcs
* @since 2.0.0
*/
- @Experimental
- @InterfaceStability.Evolving
--- End diff --
Yes, I did. This has been out since 2.0, so I don't think we can change it at this point.
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[GitHub] spark issue #18065: [SPARK-20844] Remove experimental from Structured Stream...
Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/18065
**[Test build #77431 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/77431/testReport)** for PR 18065 at commit [`98e8326`](https://github.com/apache/spark/commit/98e8326e3f338ce6a6de4697fbc4344d57668140).
* This patch passes all tests.
* This patch merges cleanly.
* This patch adds no public classes.
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[GitHub] spark issue #18065: [SPARK-20844] Remove experimental from Structured Stream...
Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/18065
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[GitHub] spark pull request #18065: [SPARK-20844] Remove experimental from Structured...
Posted by asfgit <gi...@git.apache.org>.
Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/18065
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[GitHub] spark issue #18065: [SPARK-20844] Remove experimental from Structured Stream...
Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/18065
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[GitHub] spark issue #18065: [SPARK-20844] Remove experimental from Structured Stream...
Posted by marmbrus <gi...@git.apache.org>.
Github user marmbrus commented on the issue:
https://github.com/apache/spark/pull/18065
Good catch on python! Fixed but please help me make sure I didn't miss anything.
Leaving all the GroupState stuff experimental was on purpose, since this will be the first release including it.
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[GitHub] spark pull request #18065: [SPARK-20844] Remove experimental from Structured...
Posted by marmbrus <gi...@git.apache.org>.
Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/18065#discussion_r118390436
--- Diff: docs/structured-streaming-programming-guide.md ---
@@ -10,7 +10,7 @@ title: Structured Streaming Programming Guide
# Overview
Structured Streaming is a scalable and fault-tolerant stream processing engine built on the Spark SQL engine. You can express your streaming computation the same way you would express a batch computation on static data. The Spark SQL engine will take care of running it incrementally and continuously and updating the final result as streaming data continues to arrive. You can use the [Dataset/DataFrame API](sql-programming-guide.html) in Scala, Java, Python or R to express streaming aggregations, event-time windows, stream-to-batch joins, etc. The computation is executed on the same optimized Spark SQL engine. Finally, the system ensures end-to-end exactly-once fault-tolerance guarantees through checkpointing and Write Ahead Logs. In short, *Structured Streaming provides fast, scalable, fault-tolerant, end-to-end exactly-once stream processing without the user having to reason about streaming.*
--- End diff --
haha, good catch
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[GitHub] spark issue #18065: [SPARK-20844] Remove experimental from Structured Stream...
Posted by marmbrus <gi...@git.apache.org>.
Github user marmbrus commented on the issue:
https://github.com/apache/spark/pull/18065
test this please
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[GitHub] spark pull request #18065: [SPARK-20844] Remove experimental from Structured...
Posted by zsxwing <gi...@git.apache.org>.
Github user zsxwing commented on a diff in the pull request:
https://github.com/apache/spark/pull/18065#discussion_r118555796
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/streaming/DataStreamReader.scala ---
@@ -35,7 +35,6 @@ import org.apache.spark.sql.types.StructType
*
* @since 2.0.0
*/
-@Experimental
--- End diff --
importing `Experimental` in this file is not used now.
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[GitHub] spark issue #18065: [SPARK-20844] Remove experimental from Structured Stream...
Posted by tdas <gi...@git.apache.org>.
Github user tdas commented on the issue:
https://github.com/apache/spark/pull/18065
all the python apis also need to be marked not experimental!
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[GitHub] spark issue #18065: [SPARK-20844] Remove experimental from Structured Stream...
Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/18065
**[Test build #77317 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/77317/testReport)** for PR 18065 at commit [`8221c01`](https://github.com/apache/spark/commit/8221c01c0d182ce27ee1051b0bb1d8581d7fce23).
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[GitHub] spark issue #18065: [SPARK-20844] Remove experimental from Structured Stream...
Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/18065
**[Test build #77203 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/77203/testReport)** for PR 18065 at commit [`fe03241`](https://github.com/apache/spark/commit/fe03241d56899af9fa9cc4e63f4f97061bbb8b74).
* This patch passes all tests.
* This patch merges cleanly.
* This patch adds no public classes.
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[GitHub] spark pull request #18065: [SPARK-20844] Remove experimental from Structured...
Posted by tdas <gi...@git.apache.org>.
Github user tdas commented on a diff in the pull request:
https://github.com/apache/spark/pull/18065#discussion_r118196588
--- Diff: docs/structured-streaming-programming-guide.md ---
@@ -10,7 +10,7 @@ title: Structured Streaming Programming Guide
# Overview
Structured Streaming is a scalable and fault-tolerant stream processing engine built on the Spark SQL engine. You can express your streaming computation the same way you would express a batch computation on static data. The Spark SQL engine will take care of running it incrementally and continuously and updating the final result as streaming data continues to arrive. You can use the [Dataset/DataFrame API](sql-programming-guide.html) in Scala, Java, Python or R to express streaming aggregations, event-time windows, stream-to-batch joins, etc. The computation is executed on the same optimized Spark SQL engine. Finally, the system ensures end-to-end exactly-once fault-tolerance guarantees through checkpointing and Write Ahead Logs. In short, *Structured Streaming provides fast, scalable, fault-tolerant, end-to-end exactly-once stream processing without the user having to reason about streaming.*
--- End diff --
The main title still says Experimental :P
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[GitHub] spark issue #18065: [SPARK-20844] Remove experimental from Structured Stream...
Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/18065
**[Test build #77431 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/77431/testReport)** for PR 18065 at commit [`98e8326`](https://github.com/apache/spark/commit/98e8326e3f338ce6a6de4697fbc4344d57668140).
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[GitHub] spark issue #18065: [SPARK-20844] Remove experimental from Structured Stream...
Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/18065
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