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Posted to reviews@spark.apache.org by maropu <gi...@git.apache.org> on 2018/08/23 14:35:07 UTC
[GitHub] spark pull request #22204: [SPARK-25196][SQL] Analyze column statistics in c...
GitHub user maropu opened a pull request:
https://github.com/apache/spark/pull/22204
[SPARK-25196][SQL] Analyze column statistics in cached query
## What changes were proposed in this pull request?
This pr proposed a new API to analyze column statistics in cached query. In common usecases, users read catalog table data, join/aggregate them, and then cache the result for following quries. But, the current optimization of the queries depends on non-existing or inaccurate column statistics of the cached data because we are only allowed to analyze column statistics in catalog tables via ANALYZE commands.
To solve this issue, this pr added `analyzeColumnCacheQuery` in `CacheManager to analyze column statistics in already-cached query;
```
scala> spark.range(1000).selectExpr("id % 33 AS c0", "rand() AS c1", "0 AS c2").write.saveAsTable("t")
scala> sql("ANALYZE TABLE t COMPUTE STATISTICS FOR COLUMNS c0, c1, c2")
scala> val cacheManager = spark.sharedState.cacheManager
scala> def printColumnStats(data: org.apache.spark.sql.DataFrame) = {
| data.queryExecution.optimizedPlan.stats.attributeStats.foreach {
| case (k, v) => println(s"[$k]: $v")
| }
| }
scala> def df() = spark.table("t").groupBy("c0").agg(count("c1").as("v1"), sum("c2").as("v2"))
// Prints column statistics in catalog table `t`
scala> printColumnStats(spark.table("t"))
[c0#7073L]: ColumnStat(Some(33),Some(0),Some(32),Some(0),Some(8),Some(8),Some(Histogram(3.937007874015748,[Lorg.apache.spark.sql.catalyst.plans.logical.HistogramBin;@209c0be5)))
[c1#7074]: ColumnStat(Some(997),Some(5.958619423369615E-4),Some(0.9988009488973438),Some(0),Some(8),Some(8),Some(Histogram(3.937007874015748,[Lorg.apache.spark.sql.catalyst.plans.logical.HistogramBin;@4ef69c53)))
[c2#7075]: ColumnStat(Some(1),Some(0),Some(0),Some(0),Some(4),Some(4),Some(Histogram(3.937007874015748,[Lorg.apache.spark.sql.catalyst.plans.logical.HistogramBin;@7cbaf548)))
// Prints column statistics on query result `df`
scala> printColumnStats(df())
[c0#7073L]: ColumnStat(Some(33),Some(0),Some(32),Some(0),Some(8),Some(8),Some(Histogram(3.937007874015748,[Lorg.apache.spark.sql.catalyst.plans.logical.HistogramBin;@209c0be5)))
// Prints column statistics on cached data of `df`
scala> printColumnStats(df().cache)
<No Column Statistics>
// A new API described above
scala> cacheManager.analyzeColumnCacheQuery(df(), "v1" :: "v2" :: Nil)
// Then, prints again
scala> printColumnStats(df())
[v1#7101L]: ColumnStat(Some(2),Some(30),Some(31),Some(0),Some(8),Some(8),Some(Histogram(0.12992125984251968,[Lorg.apache.spark.sql.catalyst.plans.logical.HistogramBin;@e2ff893)))
[v2#7103L]: ColumnStat(Some(1),Some(0),Some(0),Some(0),Some(8),Some(8),Some(Histogram(0.12992125984251968,[Lorg.apache.spark.sql.catalyst.plans.logical.HistogramBin;@1498a4d)))
scala> cacheManager.analyzeColumnCacheQuery(df(), "c0" :: Nil)
scala> printColumnStats(df())
[v1#7101L]: ColumnStat(Some(2),Some(30),Some(31),Some(0),Some(8),Some(8),Some(Histogram(0.12992125984251968,[Lorg.apache.spark.sql.catalyst.plans.logical.HistogramBin;@e2ff893)))
[v2#7103L]: ColumnStat(Some(1),Some(0),Some(0),Some(0),Some(8),Some(8),Some(Histogram(0.12992125984251968,[Lorg.apache.spark.sql.catalyst.plans.logical.HistogramBin;@1498a4d)))
[c0#7073L]: ColumnStat(Some(33),Some(0),Some(32),Some(0),Some(8),Some(8),Some(Histogram(0.12992125984251968,[Lorg.apache.spark.sql.catalyst.plans.logical.HistogramBin;@626bcfc8)))
```
## How was this patch tested?
Added tests in `CachedTableSuite`.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/maropu/spark SPARK-25196
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/22204.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 #22204
----
commit fcc530000c71c3d623a559e499e1148efc54d0e6
Author: Takeshi Yamamuro <ya...@...>
Date: 2018-08-22T11:59:29Z
Fix
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retest this please
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retest this please
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Posted by dongjoon-hyun <gi...@git.apache.org>.
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Thank you, @maropu . BTW, if this PR aims to provide `ANALYZE` command interface to users, could you update the PR content and test cases for that?
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Also, we might be able to extend the ANALYZE command for this purpose.
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ping
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@gatorsmile ping
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@dongjoon-hyun could you check again? thanks! (btw, congrats, committer!)
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cc @wzhfy as well
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cc @dongjoon-hyun Try to review this PR?
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ok, I'll do that.
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ping
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retest this please
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https://github.com/apache/spark/pull/22204
**[Test build #97424 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/97424/testReport)** for PR 22204 at commit [`8d6f599`](https://github.com/apache/spark/commit/8d6f599c26fbfea75194d06bcb779b966872f35f).
* This patch **fails due to an unknown error code, -9**.
* This patch **does not merge cleanly**.
* This patch adds no public classes.
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[GitHub] spark issue #22204: [SPARK-25196][SQL] Analyze column statistics in cached q...
Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/22204
Merged build finished. Test PASSed.
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[GitHub] spark issue #22204: [SPARK-25196][SQL] Extends Analyze commands for cached t...
Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/22204
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[GitHub] spark issue #22204: [SPARK-25196][SQL] Analyze column statistics in cached q...
Posted by dongjoon-hyun <gi...@git.apache.org>.
Github user dongjoon-hyun commented on the issue:
https://github.com/apache/spark/pull/22204
@maropu . Is this PR suggesting that the user need to use `CacheManager.analyzeColumnCacheQuery`? In general `CacheManager` is internal to Spark SQL, isn't it?
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[GitHub] spark issue #22204: [SPARK-25196][SQL] Extends Analyze commands for cached t...
Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/22204
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[GitHub] spark issue #22204: [SPARK-25196][SQL] Analyze column statistics in cached q...
Posted by maropu <gi...@git.apache.org>.
Github user maropu commented on the issue:
https://github.com/apache/spark/pull/22204
ah, how about adding a new method in `SparkSession` e.g., `SparkSession.analyzeColumnCacheQuery`?
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[GitHub] spark issue #22204: [SPARK-25196][SQL] Analyze column statistics in cached q...
Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/22204
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[GitHub] spark issue #22204: [SPARK-25196][SQL] Extends Analyze commands for cached t...
Posted by maropu <gi...@git.apache.org>.
Github user maropu commented on the issue:
https://github.com/apache/spark/pull/22204
ping
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