[SPARK-17612][SQL] Support `DESCRIBE table PARTITION` SQL syntax #15168

dongjoon-hyun · 2016-09-20T20:23:35Z

What changes were proposed in this pull request?

This PR implements DESCRIBE table PARTITION SQL Syntax again. It was supported until Spark 1.6.2, but was dropped since 2.0.0.

Spark 1.6.2

scala> sql("CREATE TABLE partitioned_table (a STRING, b INT) PARTITIONED BY (c STRING, d STRING)")
res1: org.apache.spark.sql.DataFrame = [result: string]

scala> sql("ALTER TABLE partitioned_table ADD PARTITION (c='Us', d=1)")
res2: org.apache.spark.sql.DataFrame = [result: string]

scala> sql("DESC partitioned_table PARTITION (c='Us', d=1)").show(false)
+----------------------------------------------------------------+
|result                                                          |
+----------------------------------------------------------------+
|a                      string                                   |
|b                      int                                      |
|c                      string                                   |
|d                      string                                   |
|                                                                |
|# Partition Information                                         |
|# col_name             data_type               comment          |
|                                                                |
|c                      string                                   |
|d                      string                                   |
+----------------------------------------------------------------+

Spark 2.0

Before

scala> sql("CREATE TABLE partitioned_table (a STRING, b INT) PARTITIONED BY (c STRING, d STRING)")
res0: org.apache.spark.sql.DataFrame = []

scala> sql("ALTER TABLE partitioned_table ADD PARTITION (c='Us', d=1)")
res1: org.apache.spark.sql.DataFrame = []

scala> sql("DESC partitioned_table PARTITION (c='Us', d=1)").show(false)
org.apache.spark.sql.catalyst.parser.ParseException:
Unsupported SQL statement

After

scala> sql("CREATE TABLE partitioned_table (a STRING, b INT) PARTITIONED BY (c STRING, d STRING)")
res0: org.apache.spark.sql.DataFrame = []

scala> sql("ALTER TABLE partitioned_table ADD PARTITION (c='Us', d=1)")
res1: org.apache.spark.sql.DataFrame = []

scala> sql("DESC partitioned_table PARTITION (c='Us', d=1)").show(false)
+-----------------------+---------+-------+
|col_name               |data_type|comment|
+-----------------------+---------+-------+
|a                      |string   |null   |
|b                      |int      |null   |
|c                      |string   |null   |
|d                      |string   |null   |
|# Partition Information|         |       |
|# col_name             |data_type|comment|
|c                      |string   |null   |
|d                      |string   |null   |
+-----------------------+---------+-------+

scala> sql("DESC EXTENDED partitioned_table PARTITION (c='Us', d=1)").show(100,false)
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+---------+-------+
|col_name                                                                                                                                                                                                                                                                                                                                                                                                                                                                           |data_type|comment|
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+---------+-------+
|a                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  |string   |null   |
|b                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  |int      |null   |
|c                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  |string   |null   |
|d                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  |string   |null   |
|# Partition Information                                                                                                                                                                                                                                                                                                                                                                                                                                                            |         |       |
|# col_name                                                                                                                                                                                                                                                                                                                                                                                                                                                                         |data_type|comment|
|c                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  |string   |null   |
|d                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  |string   |null   |
|                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   |         |       |
|Detailed Partition Information CatalogPartition(
        Partition Values: [Us, 1]
        Storage(Location: file:/Users/dhyun/SPARK-17612-DESC-PARTITION/spark-warehouse/partitioned_table/c=Us/d=1, InputFormat: org.apache.hadoop.mapred.TextInputFormat, OutputFormat: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat, Serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, Properties: [serialization.format=1])
        Partition Parameters:{transient_lastDdlTime=1475001066})|         |       |
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+---------+-------+


scala> sql("DESC FORMATTED partitioned_table PARTITION (c='Us', d=1)").show(100,false)
+--------------------------------+---------------------------------------------------------------------------------------+-------+
|col_name                        |data_type                                                                              |comment|
+--------------------------------+---------------------------------------------------------------------------------------+-------+
|a                               |string                                                                                 |null   |
|b                               |int                                                                                    |null   |
|c                               |string                                                                                 |null   |
|d                               |string                                                                                 |null   |
|# Partition Information         |                                                                                       |       |
|# col_name                      |data_type                                                                              |comment|
|c                               |string                                                                                 |null   |
|d                               |string                                                                                 |null   |
|                                |                                                                                       |       |
|# Detailed Partition Information|                                                                                       |       |
|Partition Value:                |[Us, 1]                                                                                |       |
|Database:                       |default                                                                                |       |
|Table:                          |partitioned_table                                                                      |       |
|Location:                       |file:/Users/dhyun/SPARK-17612-DESC-PARTITION/spark-warehouse/partitioned_table/c=Us/d=1|       |
|Partition Parameters:           |                                                                                       |       |
|  transient_lastDdlTime         |1475001066                                                                             |       |
|                                |                                                                                       |       |
|# Storage Information           |                                                                                       |       |
|SerDe Library:                  |org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe                                     |       |
|InputFormat:                    |org.apache.hadoop.mapred.TextInputFormat                                               |       |
|OutputFormat:                   |org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat                             |       |
|Compressed:                     |No                                                                                     |       |
|Storage Desc Parameters:        |                                                                                       |       |
|  serialization.format          |1                                                                                      |       |
+--------------------------------+---------------------------------------------------------------------------------------+-------+

How was this patch tested?

Pass the Jenkins tests with a new testcase.

skambha · 2016-09-20T20:56:13Z

sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/SQLQuerySuite.scala

Can you add some validation for the output returned.

Hi, @skambha .
Thank you for review. BTW, what kind of validation do you want? If we have a DESC command output validation test cases, it will be the same.

I was thinking - of verifying that the output result points out the partition columns correctly.
Is there a testcase that covers this already? If so that is fine.

Actually, as you see in the PR description, the output result is the same with the DESC command with PARTITION spec. In other words, the output does not depend on the given spec. Only, this command raises exceptions if the given partition does not exists.

the output result points out the partition columns correctly.

Hive supports describe based on the partition specified and will list the details for the particular partition when used with formatted or extended option.
DESCRIBE formatted part_table partition (d='abc')
https://cwiki.apache.org/confluence/display/Hive/LanguageManual+DDL#LanguageManualDDL-Describe

@dongjoon-hyun, this might be beyond the scope of this PR but this would be useful if there are a lot of partitions and we want to find details for a given partition. What do you think? Thanks.

@skambha . Let's wait some feedback from committers. Before putting more effort on this, I want to know if this kind of PR about DESC regression will be merged into master.

SparkQA · 2016-09-20T22:26:18Z

Test build #65680 has finished for PR 15168 at commit 1396eb1.

This patch passes all tests.
This patch merges cleanly.
This patch adds the following public classes (experimental):
- case class DescribeTableCommand(

dongjoon-hyun · 2016-09-20T23:06:00Z

Hi, @rxin .
Could you review this PR to implement DESCRIBE table PARTITION?

dongjoon-hyun · 2016-09-21T16:19:16Z

Hi, @hvanhovell .
Could you review this PR when you have some time?

hvanhovell

@dongjoon-hyun am I right to assume that this currently does not describe the partition the user requests? Why not implement the command now you are at it?

hvanhovell · 2016-09-21T22:34:02Z

sql/core/src/main/scala/org/apache/spark/sql/execution/SparkSqlParser.scala

Could you collect here and add some names? It is a bit cryptic at the moment?

hvanhovell · 2016-09-21T22:35:45Z

sql/core/src/main/scala/org/apache/spark/sql/execution/command/tables.scala

Does this touch the result? How is the partition information added to the result?

hvanhovell · 2016-09-21T22:37:22Z

sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/SQLQuerySuite.scala

It is possible to test the output with SQLQueryTestSuite? Or does that have portability issues?

dongjoon-hyun · 2016-09-21T23:55:11Z

Thank you, @hvanhovell . Yes, currently, as you mentioned, EXTEDNED or FORMATTED is not included in this PR since I wasn't sure that Spark 2.0 want to fix this regression.

Like Spark 1.6, I'll add that, too.

dongjoon-hyun · 2016-09-23T17:09:29Z

Hi, @hvanhovell .
Currently, DESC FORMATTED TABLE and DESC EXTENDED TABLE shows a little bit different from Apache Spark 1.6. I think it's improved a little. I'm revising the DETAIL/EXTENDED partition info of this PR to be consistent with Spark 2.0, not consistent with Spark 1.6.

dongjoon-hyun · 2016-09-23T20:18:58Z

Hi, @hvanhovell . I updated the followings.

Add 'EXTENDED' and 'FORMATTED' description for 'PARTITION'.
Move the tests into SQLQueryTestSuite. describe.sql. Please note that the suite sorts the result, so it looks differently. You can see the PR description more correctly.
Update PR description

Could you review this again when you have some time?

gatorsmile · 2016-09-23T21:05:09Z

I also like this feature. The Hive-generated statistics for partitioned tables are stored in partition-level properties. See the PR: #15158

We need it before https://issues.apache.org/jira/browse/SPARK-17129 is done; otherwise, users are unable to read the statistics of partitioned tables.

BTW, will try to review this PR tonight.

dongjoon-hyun · 2016-09-23T21:14:51Z

Thank you, @gatorsmile .

SparkQA · 2016-09-23T21:54:58Z

Test build #65842 has finished for PR 15168 at commit c33af71.

This patch fails Spark unit tests.
This patch merges cleanly.
This patch adds no public classes.

SparkQA · 2016-09-23T21:57:10Z

Test build #65841 has finished for PR 15168 at commit f8fb269.

This patch fails Spark unit tests.
This patch merges cleanly.
This patch adds no public classes.

dongjoon-hyun · 2016-09-23T22:22:13Z

Oh, my bad.
The only failure is describe.sql. We can not use SQLQueryTestSuite since the last access time is always different.

describe.sql *** FAILED *** (272 milliseconds)
[info]   Expected "...reated: Fri Sep 23 1[2:30:40] PDT 2016
[info]      Last Acce...", but got "...reated: Fri Sep 23 1[4:47:49] PDT 2016
[info]      Last Acce..." Result dit not match for query #3

I'll move back the testcase into the original test suite.

SparkQA · 2016-09-24T04:41:17Z

Test build #65859 has finished for PR 15168 at commit ba22975.

This patch fails Spark unit tests.
This patch merges cleanly.
This patch adds no public classes.

dongjoon-hyun · 2016-09-24T04:55:22Z

The failure seems to be irrelevant. Retest this please.

[info] - Naive Bayes Multinomial *** FAILED *** (137 milliseconds)
[info]   Expected 0.7 and 0.6494565217391305 to be within 0.05 using absolute tolerance.
[info]   validateModelFit:

gatorsmile · 2016-09-24T05:13:29Z

retest this please

SparkQA · 2016-09-24T07:24:44Z

Test build #65861 has finished for PR 15168 at commit ba22975.

This patch passes all tests.
This patch merges cleanly.
This patch adds no public classes.

gatorsmile · 2016-09-24T08:04:35Z

The implementation of this PR does not support data source tables. Please try the following example.

      spark
        .range(1).select('id as 'a, 'id as 'b, 'id as 'c, 'id as 'd).write
        .bucketBy(2, "b").sortBy("c").partitionBy("d")
        .saveAsTable("t1")
      sql("DESC FORMATTED t1 partition (d=1)").show(100, false)

The error you will get is:

org.apache.hadoop.hive.ql.metadata.Table.ValidationFailureSemanticException: table is not partitioned but partition spec exists: {d=1};

dongjoon-hyun · 2016-09-24T14:57:56Z

Thank you, @gatorsmile . I'll fix that soon.

dongjoon-hyun · 2016-09-24T15:30:05Z

Hi, @gatorsmile .

It's the same behavior with Apache Spark 1.6.2. This PR doesn't make any regression for Datasource tables. Actually, the error you mentioned is raised by HiveMetastore since it's not Hive compatible table as you see the WARNING below.

scala> sc.version
res5: String = 1.6.2

scala> sqlContext.range(1).select('id as 'a, 'id as 'b, 'id as 'c, 'id as 'd).write.partitionBy("d").saveAsTable("t1")
16/09/24 08:24:51 WARN HiveContext$$anon$2: Persisting partitioned data source relation `t1` into Hive metastore in Spark SQL specific format, which is NOT compatible with Hive. Input path(s): 
file:/user/hive/warehouse/t1

scala> sql("DESC FORMATTED t1 partition (d=1)").show(100, false)
16/09/24 08:25:06 ERROR DDLTask: java.lang.RuntimeException: cannot find field null from [0:col]
    at org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorUtils.getStandardStructFieldRef(ObjectInspectorUtils.java:416)

gatorsmile · 2016-09-24T15:50:49Z

Yeah, I knew. : ) This PR is to support DESCRIBE PARTITION, right? The other DESCRIBE commands can support all the table types. Thus, I believe we need to support all the cases for DESCRIBE PARTITION

dongjoon-hyun · 2016-09-24T16:29:53Z

Actually, I think there was a reason not to do that in Spark 1.6.2. In Spark 2.0, is there any new way to lookup the partition info from Parquet Datasource through SessionCatalog? SessionCatalog seems not to support that until now like the Spark 1.6.2.

Anyway, if we need to support that here. This PR needs to be IMPROVEMENT jira issue. So far, it was BUG issue to recover the regression. :)

gatorsmile · 2016-09-24T20:30:11Z

Yeah, please change the JIRA to improvement.

I did not check the code of Spark 1.6.2, but, since Spark 2.0, we provide a native support for DESC TABLE. See the PR: #13025

dongjoon-hyun · 2016-09-25T02:14:58Z

Sure. I'll investigate from that. Thank you for the pointer, @gatorsmile .

gatorsmile · 2016-09-25T03:36:42Z

Partitioned View is another potential issue for this PR.

FYI, just submitted a related PR #15233

dongjoon-hyun · 2016-09-25T05:39:16Z

Hi, @gatorsmile . I investigated the related PRs.

[SPARK-14127][SQL] Makes 'DESC [EXTENDED|FORMATTED] <table>' support data source tables #12934 [SPARK-14127][SQL] Makes 'DESC [EXTENDED|FORMATTED] <table>' support data source tables
[SPARK-14127][SQL] Native "DESC [EXTENDED | FORMATTED] <table>" DDL command #12844 [SPARK-14127][SQL] Native "DESC [EXTENDED | FORMATTED] <table>" DDL command
[SPARK-14127][SQL] "DESC <table>": Extracts schema information from table properties for data source tables #13025 [SPARK-14127][SQL] "DESC <table>": Extracts schema information from table properties for data source tables

Unfortunately, those are extracting the partition column names from table properties. But, table properties does not have partition column values. Currently, Spark does not hold the partitioned column values of Datasource table in CatalogTable.

In this case, I'd like to make another issue for that since that's really a new feature. Since it's not supported Spark 1.6, I think it's nice-to-have item, not a must-to-have item in this PR. How do you think about that?

gatorsmile · 2016-09-25T05:50:16Z

Thank you for your investigation! How about generating a user-friendly error message in these unsupported cases? The error messages from Hive is very confusing to the external users.

dongjoon-hyun · 2016-09-25T06:10:08Z

Yep. That's would be great. Thank you for guidance always!

SparkQA · 2016-09-25T08:43:30Z

Test build #65877 has finished for PR 15168 at commit 21e8295.

This patch passes all tests.
This patch merges cleanly.
This patch adds no public classes.

dongjoon-hyun · 2016-09-25T17:20:46Z

Thank you for review @gatorsmile .

Hi, @hvanhovell .
Could you review this again?

hvanhovell · 2016-09-27T18:10:47Z

@dongjoon-hyun sorry about that. Is the PR description (including all the exceptions) up to date?

dongjoon-hyun · 2016-09-27T18:13:14Z

Never mind~. Thank you for coming back! I'll check the PR description again and make up-to-date.

hvanhovell

Looks pretty good. Left one comment.

hvanhovell · 2016-09-27T18:15:31Z

sql/core/src/main/scala/org/apache/spark/sql/execution/SparkSqlParser.scala

+        val (valid, nonValid) = visitPartitionSpec(ctx.partitionSpec).partition(_._2.isDefined)
+        if (nonValid.nonEmpty) {
+          // For non-valid specification for `DESC` command, this raises a ParseException.
+          return null


Just throw a meaningful parse exception and simplify this logic.

visitPartitionSpec(ctx.partitionSpec).map { case (key, Some(value)) => key -> value case _ => throw new ParseException("...", ctx) }

Thank you. I'll fix soon.

Done. Now, Jenkins is running.

dongjoon-hyun · 2016-09-27T19:10:05Z

Now, the PR description is also up-to-date.

SparkQA · 2016-09-27T20:01:25Z

Test build #65988 has finished for PR 15168 at commit ec574ff.

This patch fails Spark unit tests.
This patch merges cleanly.
This patch adds no public classes.

SparkQA · 2016-09-27T20:50:06Z

Test build #65989 has finished for PR 15168 at commit 2ed1069.

This patch passes all tests.
This patch merges cleanly.
This patch adds no public classes.

gatorsmile · 2016-09-27T20:54:01Z

sql/core/src/test/resources/sql-tests/inputs/describe.sql

@@ -0,0 +1,24 @@
+CREATE TABLE t (a STRING, b INT) PARTITIONED BY (c STRING, d STRING);


Drop the table?

Done. Thank you!

SparkQA · 2016-09-27T21:09:07Z

Test build #65993 has finished for PR 15168 at commit fc132e6.

This patch passes all tests.
This patch merges cleanly.
This patch adds no public classes.

SparkQA · 2016-09-27T23:23:59Z

Test build #66001 has finished for PR 15168 at commit 04c75e5.

This patch passes all tests.
This patch merges cleanly.
This patch adds no public classes.

dongjoon-hyun · 2016-09-27T23:25:48Z

Finally, it passed! @hvanhovell .

dongjoon-hyun · 2016-09-28T14:42:31Z

Hi, @hvanhovell .
Could you review this again?

dongjoon-hyun · 2016-09-29T05:23:46Z

Hi, @hvanhovell . I thought it's a regression bug fix.
I'm wondering if you think this is a new feature for Spark 2.1.

hvanhovell · 2016-09-29T22:32:15Z

@dongjoon-hyun we made the decision to regress here willingly. So I think it is a new feature, also this is currently not backportable.

LGTM. Merging to master. Thanks.

dongjoon-hyun · 2016-09-29T22:46:28Z

Oh, I see. Does that mean it's not allowed to be backported due to the policy although I made a patch for branch-2.0?

dongjoon-hyun · 2016-09-29T22:47:27Z

Thank you so much, @hvanhovell , @gatorsmile , and @skambha !

gatorsmile · 2016-09-29T22:54:22Z

When implementing the native DDL support, we blocked a few DDL statements due to the resource limit. Thus, this PR is not a bug fix. In theory, we should not add new features into the previous releases.

hvanhovell · 2016-09-29T22:55:40Z

@dongjoon-hyun the risk of this PR breaking something is quite low; so I am open to backporting as long as long as it does not create too much issues. BTW: did you open a backport? this was against master?

dongjoon-hyun · 2016-09-29T23:07:41Z

@gatorsmile , @hvanhovell . Yep. I knew the policy about new feature issues and bug fix issues. So, I wish this PR is considered as bug fix issue from the beginning. Ya, it's a new feature indeed.

@hvanhovell . I didn't make that yet since this PR wasn't merged before. I'll try to make a backport PR for that to receive a chance to be reviewed. That will be mostly the same code. If you think that's too much at that time, I'll close the backport PR then.

Thank you again, All.

skambha reviewed Sep 20, 2016

View reviewed changes

hvanhovell reviewed Sep 21, 2016

View reviewed changes

dongjoon-hyun added 4 commits September 27, 2016 10:58

Add a exception handling logic for temporary table.

9b445c2

Remove meaningless output and add a permanent view handling logic.

9e81400

Create 'describeDetailPartitionInfo' function and split test cases.

89d4424

Rename functions to use 'detailed' instead of 'detail'.

e3d2faf

Update describe.sql, too.

ec574ff

hvanhovell requested changes Sep 27, 2016

View reviewed changes

dongjoon-hyun added 2 commits September 27, 2016 11:25

Ignore EXTENDED and FORMATTED again for transient_lastDdlTime.

2ed1069

Simplify the logic and throw meaningful exception message.

fc132e6

gatorsmile reviewed Sep 27, 2016

View reviewed changes

Drop test table.

04c75e5

asfgit closed this in 4ecc648 Sep 29, 2016

dongjoon-hyun mentioned this pull request Oct 4, 2016

[SPARK-17612][SQL][branch-2.0] Support DESCRIBE table PARTITION SQL syntax #15351

Closed

dongjoon-hyun deleted the SPARK-17612 branch January 7, 2019 07:02

		@@ -0,0 +1,24 @@
		CREATE TABLE t (a STRING, b INT) PARTITIONED BY (c STRING, d STRING);

[SPARK-17612][SQL] Support DESCRIBE table PARTITION SQL syntax #15168

[SPARK-17612][SQL] Support DESCRIBE table PARTITION SQL syntax #15168

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[SPARK-17612][SQL] Support `DESCRIBE table PARTITION` SQL syntax #15168

[SPARK-17612][SQL] Support `DESCRIBE table PARTITION` SQL syntax #15168

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