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Posted to reviews@spark.apache.org by dongjoon-hyun <gi...@git.apache.org> on 2017/09/28 17:29:30 UTC

[GitHub] spark pull request #19382: [SPARK-22158][SQL] convertMetastoreOrc should not...

GitHub user dongjoon-hyun opened a pull request:

    https://github.com/apache/spark/pull/19382

    [SPARK-22158][SQL] convertMetastoreOrc should not ignore table property

    ## What changes were proposed in this pull request?
    
    From the beginning, convertMetastoreOrc ignores table properties and use an empty map instead. This PR fixes that.
    
    ```scala
    val options = Map[String, String]()
    ```
    
    - [SPARK-14070: HiveMetastoreCatalog.scala](https://github.com/apache/spark/pull/11891/files#diff-ee66e11b56c21364760a5ed2b783f863R650)
    - [Master branch: HiveStrategies.scala](https://github.com/apache/spark/blob/master/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveStrategies.scala#L197
    ) 
    
    ## How was this patch tested?
    
    Pass the Jenkins with an updated test suite.

You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/dongjoon-hyun/spark SPARK-22158

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/spark/pull/19382.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 #19382
    
----
commit 09c621bae172562b9dba0da91a527465d0ad7702
Author: Dongjoon Hyun <do...@apache.org>
Date:   2017-09-28T17:23:52Z

    [SPARK-22158][SQL] convertMetastoreOrc should not ignore table properties

----


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[GitHub] spark issue #19382: [SPARK-22158][SQL] convertMetastoreOrc should not ignore...

Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the issue:

    https://github.com/apache/spark/pull/19382
  
    **[Test build #82283 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/82283/testReport)** for PR 19382 at commit [`09c621b`](https://github.com/apache/spark/commit/09c621bae172562b9dba0da91a527465d0ad7702).


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[GitHub] spark pull request #19382: [SPARK-22158][SQL] convertMetastoreOrc/Parquet sh...

Posted by gatorsmile <gi...@git.apache.org>.
Github user gatorsmile commented on a diff in the pull request:

    https://github.com/apache/spark/pull/19382#discussion_r141953332
  
    --- Diff: sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveDDLSuite.scala ---
    @@ -1437,30 +1439,75 @@ class HiveDDLSuite
         }
       }
     
    -  test("create hive serde table with new syntax") {
    +  test("create hive serde table with new syntax - orc") {
    +    Seq("true", "false").foreach { value =>
    +      withSQLConf(HiveUtils.CONVERT_METASTORE_ORC.key -> value) {
    +        withTable("t", "t2", "t3") {
    +          withTempPath { path =>
    +            sql(
    +              s"""
    +                |CREATE TABLE t(id int) USING hive
    +                |OPTIONS(fileFormat 'orc', compression 'Zlib')
    +                |LOCATION '${path.toURI}'
    +               """.stripMargin)
    +            val table = spark.sessionState.catalog.getTableMetadata(TableIdentifier("t"))
    +            assert(DDLUtils.isHiveTable(table))
    +            assert(table.storage.serde == Some("org.apache.hadoop.hive.ql.io.orc.OrcSerde"))
    +            assert(table.storage.properties.get("compression") == Some("Zlib"))
    +            assert(spark.table("t").collect().isEmpty)
    +
    +            sql("INSERT INTO t SELECT 1")
    +            checkAnswer(spark.table("t"), Row(1))
    +            // Check if this is compressed as ZLIB.
    +            val maybeOrcFile = path.listFiles().find(_.getName.startsWith("part"))
    +            assert(maybeOrcFile.isDefined)
    +            val orcFilePath = maybeOrcFile.get.toPath.toString
    +            val expectedCompressionKind =
    +              OrcFileOperator.getFileReader(orcFilePath).get.getCompression
    +            assert("ZLIB" === expectedCompressionKind.name())
    +
    +            sql("CREATE TABLE t2 USING HIVE AS SELECT 1 AS c1, 'a' AS c2")
    +            val table2 = spark.sessionState.catalog.getTableMetadata(TableIdentifier("t2"))
    +            assert(DDLUtils.isHiveTable(table2))
    +            assert(
    +              table2.storage.serde == Some("org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe"))
    +            checkAnswer(spark.table("t2"), Row(1, "a"))
    +
    +            sql("CREATE TABLE t3(a int, p int) USING hive PARTITIONED BY (p)")
    +            sql("INSERT INTO t3 PARTITION(p=1) SELECT 0")
    +            checkAnswer(spark.table("t3"), Row(0, 1))
    +          }
    +        }
    +      }
    +    }
    +  }
    +
    +  test("create hive serde table with new syntax - parquet") {
         withTable("t", "t2", "t3") {
           withTempPath { path =>
             sql(
               s"""
    -            |CREATE TABLE t(id int) USING hive
    -            |OPTIONS(fileFormat 'orc', compression 'Zlib')
    -            |LOCATION '${path.toURI}'
    -          """.stripMargin)
    +             |CREATE TABLE t(id int) USING hive
    +             |OPTIONS(fileFormat 'parquet', compression 'gzip')
    --- End diff --
    
    Try your best to reduce duplicate codes.


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[GitHub] spark issue #19382: [SPARK-22158][SQL] convertMetastore should not ignore ta...

Posted by gatorsmile <gi...@git.apache.org>.
Github user gatorsmile commented on the issue:

    https://github.com/apache/spark/pull/19382
  
    Please submit a separate PR to 2.2. Thanks!


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[GitHub] spark issue #19382: [SPARK-22158][SQL] convertMetastoreOrc/Parquet should no...

Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the issue:

    https://github.com/apache/spark/pull/19382
  
    Test FAILed.
    Refer to this link for build results (access rights to CI server needed): 
    https://amplab.cs.berkeley.edu/jenkins//job/SparkPullRequestBuilder/82324/
    Test FAILed.


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[GitHub] spark issue #19382: [SPARK-22158][SQL] convertMetastore should not ignore ta...

Posted by dongjoon-hyun <gi...@git.apache.org>.
Github user dongjoon-hyun commented on the issue:

    https://github.com/apache/spark/pull/19382
  
    Retest this please


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[GitHub] spark issue #19382: [SPARK-22158][SQL] convertMetastoreOrc/Parquet should no...

Posted by dongjoon-hyun <gi...@git.apache.org>.
Github user dongjoon-hyun commented on the issue:

    https://github.com/apache/spark/pull/19382
  
    @gatorsmile .
    Whiling testing, I noticed that Parquet ignores table properties in case of `convertMetastoreParquet=false`, too. For that case, we need to proceed in another JIRA issue. #19218 may cover that, too.


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[GitHub] spark issue #19382: [SPARK-22158][SQL] convertMetastoreOrc should not ignore...

Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the issue:

    https://github.com/apache/spark/pull/19382
  
    Test PASSed.
    Refer to this link for build results (access rights to CI server needed): 
    https://amplab.cs.berkeley.edu/jenkins//job/SparkPullRequestBuilder/82283/
    Test PASSed.


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[GitHub] spark pull request #19382: [SPARK-22158][SQL] convertMetastoreOrc/Parquet sh...

Posted by dongjoon-hyun <gi...@git.apache.org>.
Github user dongjoon-hyun commented on a diff in the pull request:

    https://github.com/apache/spark/pull/19382#discussion_r141939086
  
    --- Diff: sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveDDLSuite.scala ---
    @@ -1437,30 +1439,75 @@ class HiveDDLSuite
         }
       }
     
    -  test("create hive serde table with new syntax") {
    +  test("create hive serde table with new syntax - orc") {
    +    Seq("true", "false").foreach { value =>
    +      withSQLConf(HiveUtils.CONVERT_METASTORE_ORC.key -> value) {
    +        withTable("t", "t2", "t3") {
    +          withTempPath { path =>
    +            sql(
    +              s"""
    +                |CREATE TABLE t(id int) USING hive
    +                |OPTIONS(fileFormat 'orc', compression 'Zlib')
    +                |LOCATION '${path.toURI}'
    +               """.stripMargin)
    +            val table = spark.sessionState.catalog.getTableMetadata(TableIdentifier("t"))
    +            assert(DDLUtils.isHiveTable(table))
    +            assert(table.storage.serde == Some("org.apache.hadoop.hive.ql.io.orc.OrcSerde"))
    +            assert(table.storage.properties.get("compression") == Some("Zlib"))
    +            assert(spark.table("t").collect().isEmpty)
    +
    +            sql("INSERT INTO t SELECT 1")
    +            checkAnswer(spark.table("t"), Row(1))
    +            // Check if this is compressed as ZLIB.
    +            val maybeOrcFile = path.listFiles().find(_.getName.startsWith("part"))
    +            assert(maybeOrcFile.isDefined)
    +            val orcFilePath = maybeOrcFile.get.toPath.toString
    +            val expectedCompressionKind =
    +              OrcFileOperator.getFileReader(orcFilePath).get.getCompression
    +            assert("ZLIB" === expectedCompressionKind.name())
    +
    +            sql("CREATE TABLE t2 USING HIVE AS SELECT 1 AS c1, 'a' AS c2")
    +            val table2 = spark.sessionState.catalog.getTableMetadata(TableIdentifier("t2"))
    +            assert(DDLUtils.isHiveTable(table2))
    +            assert(
    +              table2.storage.serde == Some("org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe"))
    +            checkAnswer(spark.table("t2"), Row(1, "a"))
    +
    +            sql("CREATE TABLE t3(a int, p int) USING hive PARTITIONED BY (p)")
    +            sql("INSERT INTO t3 PARTITION(p=1) SELECT 0")
    +            checkAnswer(spark.table("t3"), Row(0, 1))
    +          }
    +        }
    +      }
    +    }
    +  }
    +
    +  test("create hive serde table with new syntax - parquet") {
         withTable("t", "t2", "t3") {
           withTempPath { path =>
             sql(
               s"""
    -            |CREATE TABLE t(id int) USING hive
    -            |OPTIONS(fileFormat 'orc', compression 'Zlib')
    -            |LOCATION '${path.toURI}'
    -          """.stripMargin)
    +             |CREATE TABLE t(id int) USING hive
    +             |OPTIONS(fileFormat 'parquet', compression 'gzip')
    --- End diff --
    
    Unfortunately, it's not feasible. First of all,
    - Old ORC test case covers `convertMetastoreOrc=false` only. So, I extended it to cover both.
    - New Parquet test case covers `convertMetastoreParquet=true (default) only because Parquet has another bug when convertMetastoreParquet=false.
    
    Also, the compression codec check is quite different between ORC and Parquet. Please see line 1510.


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[GitHub] spark pull request #19382: [SPARK-22158][SQL] convertMetastoreOrc/Parquet sh...

Posted by gatorsmile <gi...@git.apache.org>.
Github user gatorsmile commented on a diff in the pull request:

    https://github.com/apache/spark/pull/19382#discussion_r141953271
  
    --- Diff: sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveDDLSuite.scala ---
    @@ -1437,30 +1439,75 @@ class HiveDDLSuite
         }
       }
     
    -  test("create hive serde table with new syntax") {
    +  test("create hive serde table with new syntax - orc") {
    +    Seq("true", "false").foreach { value =>
    +      withSQLConf(HiveUtils.CONVERT_METASTORE_ORC.key -> value) {
    +        withTable("t", "t2", "t3") {
    +          withTempPath { path =>
    +            sql(
    +              s"""
    +                |CREATE TABLE t(id int) USING hive
    +                |OPTIONS(fileFormat 'orc', compression 'Zlib')
    +                |LOCATION '${path.toURI}'
    +               """.stripMargin)
    +            val table = spark.sessionState.catalog.getTableMetadata(TableIdentifier("t"))
    +            assert(DDLUtils.isHiveTable(table))
    +            assert(table.storage.serde == Some("org.apache.hadoop.hive.ql.io.orc.OrcSerde"))
    +            assert(table.storage.properties.get("compression") == Some("Zlib"))
    +            assert(spark.table("t").collect().isEmpty)
    +
    +            sql("INSERT INTO t SELECT 1")
    +            checkAnswer(spark.table("t"), Row(1))
    +            // Check if this is compressed as ZLIB.
    +            val maybeOrcFile = path.listFiles().find(_.getName.startsWith("part"))
    +            assert(maybeOrcFile.isDefined)
    +            val orcFilePath = maybeOrcFile.get.toPath.toString
    +            val expectedCompressionKind =
    +              OrcFileOperator.getFileReader(orcFilePath).get.getCompression
    +            assert("ZLIB" === expectedCompressionKind.name())
    +
    +            sql("CREATE TABLE t2 USING HIVE AS SELECT 1 AS c1, 'a' AS c2")
    +            val table2 = spark.sessionState.catalog.getTableMetadata(TableIdentifier("t2"))
    +            assert(DDLUtils.isHiveTable(table2))
    +            assert(
    +              table2.storage.serde == Some("org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe"))
    +            checkAnswer(spark.table("t2"), Row(1, "a"))
    +
    +            sql("CREATE TABLE t3(a int, p int) USING hive PARTITIONED BY (p)")
    +            sql("INSERT INTO t3 PARTITION(p=1) SELECT 0")
    +            checkAnswer(spark.table("t3"), Row(0, 1))
    +          }
    +        }
    +      }
    +    }
    +  }
    +
    +  test("create hive serde table with new syntax - parquet") {
         withTable("t", "t2", "t3") {
           withTempPath { path =>
             sql(
               s"""
    -            |CREATE TABLE t(id int) USING hive
    -            |OPTIONS(fileFormat 'orc', compression 'Zlib')
    -            |LOCATION '${path.toURI}'
    -          """.stripMargin)
    +             |CREATE TABLE t(id int) USING hive
    +             |OPTIONS(fileFormat 'parquet', compression 'gzip')
    --- End diff --
    
    Still can create a common helper function, right?


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[GitHub] spark issue #19382: [SPARK-22158][SQL] convertMetastoreOrc/Parquet should no...

Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the issue:

    https://github.com/apache/spark/pull/19382
  
    **[Test build #82327 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/82327/testReport)** for PR 19382 at commit [`d218c98`](https://github.com/apache/spark/commit/d218c98d7af75ffc13e9900a9370885f83f55dc6).
     * This patch **fails Spark unit tests**.
     * This patch merges cleanly.
     * This patch adds no public classes.


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[GitHub] spark pull request #19382: [SPARK-22158][SQL] convertMetastore should not ig...

Posted by asfgit <gi...@git.apache.org>.
Github user asfgit closed the pull request at:

    https://github.com/apache/spark/pull/19382


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[GitHub] spark issue #19382: [SPARK-22158][SQL] convertMetastoreOrc/Parquet should no...

Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the issue:

    https://github.com/apache/spark/pull/19382
  
    **[Test build #82391 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/82391/testReport)** for PR 19382 at commit [`452a003`](https://github.com/apache/spark/commit/452a00376e0cf6e743da18f80cc44900390df948).


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[GitHub] spark pull request #19382: [SPARK-22158][SQL] convertMetastoreOrc/Parquet sh...

Posted by dongjoon-hyun <gi...@git.apache.org>.
Github user dongjoon-hyun commented on a diff in the pull request:

    https://github.com/apache/spark/pull/19382#discussion_r141920280
  
    --- Diff: sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveDDLSuite.scala ---
    @@ -1437,30 +1439,75 @@ class HiveDDLSuite
         }
       }
     
    -  test("create hive serde table with new syntax") {
    +  test("create hive serde table with new syntax - orc") {
    +    Seq("true", "false").foreach { value =>
    +      withSQLConf(HiveUtils.CONVERT_METASTORE_ORC.key -> value) {
    +        withTable("t", "t2", "t3") {
    +          withTempPath { path =>
    +            sql(
    +              s"""
    +                |CREATE TABLE t(id int) USING hive
    +                |OPTIONS(fileFormat 'orc', compression 'Zlib')
    +                |LOCATION '${path.toURI}'
    +               """.stripMargin)
    +            val table = spark.sessionState.catalog.getTableMetadata(TableIdentifier("t"))
    +            assert(DDLUtils.isHiveTable(table))
    +            assert(table.storage.serde == Some("org.apache.hadoop.hive.ql.io.orc.OrcSerde"))
    +            assert(table.storage.properties.get("compression") == Some("Zlib"))
    +            assert(spark.table("t").collect().isEmpty)
    +
    +            sql("INSERT INTO t SELECT 1")
    +            checkAnswer(spark.table("t"), Row(1))
    +            // Check if this is compressed as ZLIB.
    +            val maybeOrcFile = path.listFiles().find(_.getName.startsWith("part"))
    +            assert(maybeOrcFile.isDefined)
    +            val orcFilePath = maybeOrcFile.get.toPath.toString
    +            val expectedCompressionKind =
    +              OrcFileOperator.getFileReader(orcFilePath).get.getCompression
    +            assert("ZLIB" === expectedCompressionKind.name())
    +
    +            sql("CREATE TABLE t2 USING HIVE AS SELECT 1 AS c1, 'a' AS c2")
    +            val table2 = spark.sessionState.catalog.getTableMetadata(TableIdentifier("t2"))
    +            assert(DDLUtils.isHiveTable(table2))
    +            assert(
    +              table2.storage.serde == Some("org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe"))
    +            checkAnswer(spark.table("t2"), Row(1, "a"))
    +
    +            sql("CREATE TABLE t3(a int, p int) USING hive PARTITIONED BY (p)")
    +            sql("INSERT INTO t3 PARTITION(p=1) SELECT 0")
    +            checkAnswer(spark.table("t3"), Row(0, 1))
    +          }
    +        }
    +      }
    +    }
    +  }
    +
    +  test("create hive serde table with new syntax - parquet") {
         withTable("t", "t2", "t3") {
           withTempPath { path =>
             sql(
               s"""
    -            |CREATE TABLE t(id int) USING hive
    -            |OPTIONS(fileFormat 'orc', compression 'Zlib')
    -            |LOCATION '${path.toURI}'
    -          """.stripMargin)
    +             |CREATE TABLE t(id int) USING hive
    +             |OPTIONS(fileFormat 'parquet', compression 'gzip')
    +             |LOCATION '${path.toURI}'
    +           """.stripMargin)
             val table = spark.sessionState.catalog.getTableMetadata(TableIdentifier("t"))
             assert(DDLUtils.isHiveTable(table))
    -        assert(table.storage.serde == Some("org.apache.hadoop.hive.ql.io.orc.OrcSerde"))
    -        assert(table.storage.properties.get("compression") == Some("Zlib"))
    +        assert(table.storage.serde ==
    +          Some("org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe"))
    +        assert(table.storage.properties.get("compression") == Some("gzip"))
             assert(spark.table("t").collect().isEmpty)
     
             sql("INSERT INTO t SELECT 1")
             checkAnswer(spark.table("t"), Row(1))
    -        // Check if this is compressed as ZLIB.
    -        val maybeOrcFile = path.listFiles().find(!_.getName.endsWith(".crc"))
    -        assert(maybeOrcFile.isDefined)
    -        val orcFilePath = maybeOrcFile.get.toPath.toString
    -        val expectedCompressionKind =
    -          OrcFileOperator.getFileReader(orcFilePath).get.getCompression
    -        assert("ZLIB" === expectedCompressionKind.name())
    +        val maybeParquetFile = path.listFiles().find(f => f.getName.startsWith("part"))
    +        assert(maybeParquetFile.isDefined)
    +
    +        val footer = ParquetFileReader.readFooter(
    +          sparkContext.hadoopConfiguration,
    +          new Path(maybeParquetFile.get.getPath),
    +          NO_FILTER)
    +        assert("GZIP" === footer.getBlocks.get(0).getColumns().get(0).getCodec.toString)
    --- End diff --
    
    It's for getting compression codec.


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[GitHub] spark issue #19382: [SPARK-22158][SQL] convertMetastoreOrc/Parquet should no...

Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the issue:

    https://github.com/apache/spark/pull/19382
  
    **[Test build #82327 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/82327/testReport)** for PR 19382 at commit [`d218c98`](https://github.com/apache/spark/commit/d218c98d7af75ffc13e9900a9370885f83f55dc6).


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[GitHub] spark issue #19382: [SPARK-22158][SQL] convertMetastoreOrc/Parquet should no...

Posted by dongjoon-hyun <gi...@git.apache.org>.
Github user dongjoon-hyun commented on the issue:

    https://github.com/apache/spark/pull/19382
  
    Retest this please


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[GitHub] spark issue #19382: [SPARK-22158][SQL] convertMetastoreOrc/Parquet should no...

Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the issue:

    https://github.com/apache/spark/pull/19382
  
    Merged build finished. Test FAILed.


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[GitHub] spark issue #19382: [SPARK-22158][SQL] convertMetastoreOrc should not ignore...

Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the issue:

    https://github.com/apache/spark/pull/19382
  
    **[Test build #82283 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/82283/testReport)** for PR 19382 at commit [`09c621b`](https://github.com/apache/spark/commit/09c621bae172562b9dba0da91a527465d0ad7702).
     * This patch passes all tests.
     * This patch merges cleanly.
     * This patch adds no public classes.


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[GitHub] spark pull request #19382: [SPARK-22158][SQL] convertMetastoreOrc/Parquet sh...

Posted by dongjoon-hyun <gi...@git.apache.org>.
Github user dongjoon-hyun commented on a diff in the pull request:

    https://github.com/apache/spark/pull/19382#discussion_r142184730
  
    --- Diff: sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveDDLSuite.scala ---
    @@ -1437,30 +1439,75 @@ class HiveDDLSuite
         }
       }
     
    -  test("create hive serde table with new syntax") {
    +  test("create hive serde table with new syntax - orc") {
    +    Seq("true", "false").foreach { value =>
    +      withSQLConf(HiveUtils.CONVERT_METASTORE_ORC.key -> value) {
    +        withTable("t", "t2", "t3") {
    +          withTempPath { path =>
    +            sql(
    +              s"""
    +                |CREATE TABLE t(id int) USING hive
    +                |OPTIONS(fileFormat 'orc', compression 'Zlib')
    +                |LOCATION '${path.toURI}'
    +               """.stripMargin)
    +            val table = spark.sessionState.catalog.getTableMetadata(TableIdentifier("t"))
    +            assert(DDLUtils.isHiveTable(table))
    +            assert(table.storage.serde == Some("org.apache.hadoop.hive.ql.io.orc.OrcSerde"))
    +            assert(table.storage.properties.get("compression") == Some("Zlib"))
    +            assert(spark.table("t").collect().isEmpty)
    +
    +            sql("INSERT INTO t SELECT 1")
    +            checkAnswer(spark.table("t"), Row(1))
    +            // Check if this is compressed as ZLIB.
    +            val maybeOrcFile = path.listFiles().find(_.getName.startsWith("part"))
    +            assert(maybeOrcFile.isDefined)
    +            val orcFilePath = maybeOrcFile.get.toPath.toString
    +            val expectedCompressionKind =
    +              OrcFileOperator.getFileReader(orcFilePath).get.getCompression
    +            assert("ZLIB" === expectedCompressionKind.name())
    +
    +            sql("CREATE TABLE t2 USING HIVE AS SELECT 1 AS c1, 'a' AS c2")
    +            val table2 = spark.sessionState.catalog.getTableMetadata(TableIdentifier("t2"))
    +            assert(DDLUtils.isHiveTable(table2))
    +            assert(
    +              table2.storage.serde == Some("org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe"))
    +            checkAnswer(spark.table("t2"), Row(1, "a"))
    +
    +            sql("CREATE TABLE t3(a int, p int) USING hive PARTITIONED BY (p)")
    +            sql("INSERT INTO t3 PARTITION(p=1) SELECT 0")
    +            checkAnswer(spark.table("t3"), Row(0, 1))
    +          }
    +        }
    +      }
    +    }
    +  }
    +
    +  test("create hive serde table with new syntax - parquet") {
         withTable("t", "t2", "t3") {
           withTempPath { path =>
             sql(
               s"""
    -            |CREATE TABLE t(id int) USING hive
    -            |OPTIONS(fileFormat 'orc', compression 'Zlib')
    -            |LOCATION '${path.toURI}'
    -          """.stripMargin)
    +             |CREATE TABLE t(id int) USING hive
    +             |OPTIONS(fileFormat 'parquet', compression 'gzip')
    --- End diff --
    
    Sure!


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[GitHub] spark issue #19382: [SPARK-22158][SQL] convertMetastoreOrc/Parquet should no...

Posted by dongjoon-hyun <gi...@git.apache.org>.
Github user dongjoon-hyun commented on the issue:

    https://github.com/apache/spark/pull/19382
  
    I retriggered because I noticed that master branch is fixed after the previous triggering.


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[GitHub] spark issue #19382: [SPARK-22158][SQL] convertMetastore should not ignore ta...

Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the issue:

    https://github.com/apache/spark/pull/19382
  
    Merged build finished. Test FAILed.


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[GitHub] spark pull request #19382: [SPARK-22158][SQL] convertMetastoreOrc should not...

Posted by dongjoon-hyun <gi...@git.apache.org>.
Github user dongjoon-hyun commented on a diff in the pull request:

    https://github.com/apache/spark/pull/19382#discussion_r141908151
  
    --- Diff: sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveDDLSuite.scala ---
    @@ -1438,39 +1438,44 @@ class HiveDDLSuite
       }
     
       test("create hive serde table with new syntax") {
    -    withTable("t", "t2", "t3") {
    -      withTempPath { path =>
    -        sql(
    -          s"""
    -            |CREATE TABLE t(id int) USING hive
    -            |OPTIONS(fileFormat 'orc', compression 'Zlib')
    -            |LOCATION '${path.toURI}'
    -          """.stripMargin)
    -        val table = spark.sessionState.catalog.getTableMetadata(TableIdentifier("t"))
    -        assert(DDLUtils.isHiveTable(table))
    -        assert(table.storage.serde == Some("org.apache.hadoop.hive.ql.io.orc.OrcSerde"))
    -        assert(table.storage.properties.get("compression") == Some("Zlib"))
    -        assert(spark.table("t").collect().isEmpty)
    -
    -        sql("INSERT INTO t SELECT 1")
    -        checkAnswer(spark.table("t"), Row(1))
    -        // Check if this is compressed as ZLIB.
    -        val maybeOrcFile = path.listFiles().find(!_.getName.endsWith(".crc"))
    -        assert(maybeOrcFile.isDefined)
    -        val orcFilePath = maybeOrcFile.get.toPath.toString
    -        val expectedCompressionKind =
    -          OrcFileOperator.getFileReader(orcFilePath).get.getCompression
    -        assert("ZLIB" === expectedCompressionKind.name())
    -
    -        sql("CREATE TABLE t2 USING HIVE AS SELECT 1 AS c1, 'a' AS c2")
    -        val table2 = spark.sessionState.catalog.getTableMetadata(TableIdentifier("t2"))
    -        assert(DDLUtils.isHiveTable(table2))
    -        assert(table2.storage.serde == Some("org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe"))
    -        checkAnswer(spark.table("t2"), Row(1, "a"))
    -
    -        sql("CREATE TABLE t3(a int, p int) USING hive PARTITIONED BY (p)")
    -        sql("INSERT INTO t3 PARTITION(p=1) SELECT 0")
    -        checkAnswer(spark.table("t3"), Row(0, 1))
    +    Seq("true", "false").foreach { value =>
    +      withSQLConf(HiveUtils.CONVERT_METASTORE_ORC.key -> value) {
    +        withTable("t", "t2", "t3") {
    +          withTempPath { path =>
    +            sql(
    +              s"""
    +                |CREATE TABLE t(id int) USING hive
    +                |OPTIONS(fileFormat 'orc', compression 'Zlib')
    --- End diff --
    
    Thank you for review, @gatorsmile . I'll check that, too.


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[GitHub] spark issue #19382: [SPARK-22158][SQL] convertMetastoreOrc/Parquet should no...

Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the issue:

    https://github.com/apache/spark/pull/19382
  
    Merged build finished. Test PASSed.


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[GitHub] spark pull request #19382: [SPARK-22158][SQL] convertMetastoreOrc/Parquet sh...

Posted by dongjoon-hyun <gi...@git.apache.org>.
Github user dongjoon-hyun commented on a diff in the pull request:

    https://github.com/apache/spark/pull/19382#discussion_r141919885
  
    --- Diff: sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveDDLSuite.scala ---
    @@ -1437,30 +1439,75 @@ class HiveDDLSuite
         }
       }
     
    -  test("create hive serde table with new syntax") {
    +  test("create hive serde table with new syntax - orc") {
    +    Seq("true", "false").foreach { value =>
    +      withSQLConf(HiveUtils.CONVERT_METASTORE_ORC.key -> value) {
    +        withTable("t", "t2", "t3") {
    +          withTempPath { path =>
    +            sql(
    +              s"""
    +                |CREATE TABLE t(id int) USING hive
    +                |OPTIONS(fileFormat 'orc', compression 'Zlib')
    +                |LOCATION '${path.toURI}'
    +               """.stripMargin)
    +            val table = spark.sessionState.catalog.getTableMetadata(TableIdentifier("t"))
    +            assert(DDLUtils.isHiveTable(table))
    +            assert(table.storage.serde == Some("org.apache.hadoop.hive.ql.io.orc.OrcSerde"))
    +            assert(table.storage.properties.get("compression") == Some("Zlib"))
    +            assert(spark.table("t").collect().isEmpty)
    +
    +            sql("INSERT INTO t SELECT 1")
    +            checkAnswer(spark.table("t"), Row(1))
    +            // Check if this is compressed as ZLIB.
    +            val maybeOrcFile = path.listFiles().find(_.getName.startsWith("part"))
    +            assert(maybeOrcFile.isDefined)
    +            val orcFilePath = maybeOrcFile.get.toPath.toString
    +            val expectedCompressionKind =
    +              OrcFileOperator.getFileReader(orcFilePath).get.getCompression
    +            assert("ZLIB" === expectedCompressionKind.name())
    +
    +            sql("CREATE TABLE t2 USING HIVE AS SELECT 1 AS c1, 'a' AS c2")
    +            val table2 = spark.sessionState.catalog.getTableMetadata(TableIdentifier("t2"))
    +            assert(DDLUtils.isHiveTable(table2))
    +            assert(
    +              table2.storage.serde == Some("org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe"))
    +            checkAnswer(spark.table("t2"), Row(1, "a"))
    +
    +            sql("CREATE TABLE t3(a int, p int) USING hive PARTITIONED BY (p)")
    +            sql("INSERT INTO t3 PARTITION(p=1) SELECT 0")
    +            checkAnswer(spark.table("t3"), Row(0, 1))
    +          }
    +        }
    +      }
    +    }
    +  }
    +
    +  test("create hive serde table with new syntax - parquet") {
         withTable("t", "t2", "t3") {
           withTempPath { path =>
             sql(
               s"""
    -            |CREATE TABLE t(id int) USING hive
    -            |OPTIONS(fileFormat 'orc', compression 'Zlib')
    -            |LOCATION '${path.toURI}'
    -          """.stripMargin)
    +             |CREATE TABLE t(id int) USING hive
    +             |OPTIONS(fileFormat 'parquet', compression 'gzip')
    --- End diff --
    
    parquet use `gzip`.


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[GitHub] spark issue #19382: [SPARK-22158][SQL] convertMetastore should not ignore ta...

Posted by AmplabJenkins <gi...@git.apache.org>.
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    https://github.com/apache/spark/pull/19382
  
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[GitHub] spark issue #19382: [SPARK-22158][SQL] convertMetastore should not ignore ta...

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    https://github.com/apache/spark/pull/19382
  
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    https://github.com/apache/spark/pull/19382
  
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[GitHub] spark issue #19382: [SPARK-22158][SQL] convertMetastore should not ignore ta...

Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the issue:

    https://github.com/apache/spark/pull/19382
  
    **[Test build #82395 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/82395/testReport)** for PR 19382 at commit [`17ccf9a`](https://github.com/apache/spark/commit/17ccf9aff9953af421b48262f8fd6af582bddf0a).


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[GitHub] spark issue #19382: [SPARK-22158][SQL] convertMetastore should not ignore ta...

Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the issue:

    https://github.com/apache/spark/pull/19382
  
    **[Test build #82391 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/82391/testReport)** for PR 19382 at commit [`452a003`](https://github.com/apache/spark/commit/452a00376e0cf6e743da18f80cc44900390df948).
     * This patch passes all tests.
     * This patch merges cleanly.
     * This patch adds no public classes.


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[GitHub] spark pull request #19382: [SPARK-22158][SQL] convertMetastoreOrc/Parquet sh...

Posted by dongjoon-hyun <gi...@git.apache.org>.
Github user dongjoon-hyun commented on a diff in the pull request:

    https://github.com/apache/spark/pull/19382#discussion_r142217964
  
    --- Diff: sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveDDLSuite.scala ---
    @@ -2009,4 +2012,48 @@ class HiveDDLSuite
           }
         }
       }
    +
    +  private def assertCompression(maybeFile: Option[File], format: String, compression: String) = {
    +    assert(maybeFile.isDefined)
    +
    +    val actualCompression = format match {
    +      case "orc" =>
    +        OrcFileOperator.getFileReader(maybeFile.get.toPath.toString).get.getCompression.name
    +
    +      case "parquet" =>
    +        val footer = ParquetFileReader.readFooter(
    +          sparkContext.hadoopConfiguration, new Path(maybeFile.get.getPath), NO_FILTER)
    +        footer.getBlocks.get(0).getColumns.get(0).getCodec.toString
    +    }
    +
    +    assert(compression === actualCompression)
    +  }
    +
    +  // Since ORC uses 'ZLIB' and Parquet uses 'SNAPPY' by default, we test with different formats.
    +  Seq(("orc", "SNAPPY"), ("parquet", "GZIP")).foreach { case (fileFormat, compression) =>
    +    test(s"SPARK-22158 convertMetastore should not ignore table property - $fileFormat") {
    --- End diff --
    
    Hi, @gatorsmile .
    Now, this test is focusing solely on `convertMetastore should not ignore table property` case.


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[GitHub] spark issue #19382: [SPARK-22158][SQL] convertMetastoreOrc/Parquet should no...

Posted by dongjoon-hyun <gi...@git.apache.org>.
Github user dongjoon-hyun commented on the issue:

    https://github.com/apache/spark/pull/19382
  
    Retest this please.


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[GitHub] spark issue #19382: [SPARK-22158][SQL] convertMetastoreOrc/Parquet should no...

Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the issue:

    https://github.com/apache/spark/pull/19382
  
    **[Test build #82332 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/82332/testReport)** for PR 19382 at commit [`d218c98`](https://github.com/apache/spark/commit/d218c98d7af75ffc13e9900a9370885f83f55dc6).


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[GitHub] spark issue #19382: [SPARK-22158][SQL] convertMetastore should not ignore ta...

Posted by AmplabJenkins <gi...@git.apache.org>.
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    https://github.com/apache/spark/pull/19382
  
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[GitHub] spark issue #19382: [SPARK-22158][SQL] convertMetastoreOrc/Parquet should no...

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    https://github.com/apache/spark/pull/19382
  
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[GitHub] spark pull request #19382: [SPARK-22158][SQL] convertMetastoreOrc should not...

Posted by gatorsmile <gi...@git.apache.org>.
Github user gatorsmile commented on a diff in the pull request:

    https://github.com/apache/spark/pull/19382#discussion_r141801811
  
    --- Diff: sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveDDLSuite.scala ---
    @@ -1438,39 +1438,44 @@ class HiveDDLSuite
       }
     
       test("create hive serde table with new syntax") {
    -    withTable("t", "t2", "t3") {
    -      withTempPath { path =>
    -        sql(
    -          s"""
    -            |CREATE TABLE t(id int) USING hive
    -            |OPTIONS(fileFormat 'orc', compression 'Zlib')
    -            |LOCATION '${path.toURI}'
    -          """.stripMargin)
    -        val table = spark.sessionState.catalog.getTableMetadata(TableIdentifier("t"))
    -        assert(DDLUtils.isHiveTable(table))
    -        assert(table.storage.serde == Some("org.apache.hadoop.hive.ql.io.orc.OrcSerde"))
    -        assert(table.storage.properties.get("compression") == Some("Zlib"))
    -        assert(spark.table("t").collect().isEmpty)
    -
    -        sql("INSERT INTO t SELECT 1")
    -        checkAnswer(spark.table("t"), Row(1))
    -        // Check if this is compressed as ZLIB.
    -        val maybeOrcFile = path.listFiles().find(!_.getName.endsWith(".crc"))
    -        assert(maybeOrcFile.isDefined)
    -        val orcFilePath = maybeOrcFile.get.toPath.toString
    -        val expectedCompressionKind =
    -          OrcFileOperator.getFileReader(orcFilePath).get.getCompression
    -        assert("ZLIB" === expectedCompressionKind.name())
    -
    -        sql("CREATE TABLE t2 USING HIVE AS SELECT 1 AS c1, 'a' AS c2")
    -        val table2 = spark.sessionState.catalog.getTableMetadata(TableIdentifier("t2"))
    -        assert(DDLUtils.isHiveTable(table2))
    -        assert(table2.storage.serde == Some("org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe"))
    -        checkAnswer(spark.table("t2"), Row(1, "a"))
    -
    -        sql("CREATE TABLE t3(a int, p int) USING hive PARTITIONED BY (p)")
    -        sql("INSERT INTO t3 PARTITION(p=1) SELECT 0")
    -        checkAnswer(spark.table("t3"), Row(0, 1))
    +    Seq("true", "false").foreach { value =>
    +      withSQLConf(HiveUtils.CONVERT_METASTORE_ORC.key -> value) {
    +        withTable("t", "t2", "t3") {
    +          withTempPath { path =>
    +            sql(
    +              s"""
    +                |CREATE TABLE t(id int) USING hive
    +                |OPTIONS(fileFormat 'orc', compression 'Zlib')
    --- End diff --
    
    It sounds like we have the same issue for parquet?


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[GitHub] spark issue #19382: [SPARK-22158][SQL] convertMetastoreOrc/Parquet should no...

Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the issue:

    https://github.com/apache/spark/pull/19382
  
    **[Test build #82332 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/82332/testReport)** for PR 19382 at commit [`d218c98`](https://github.com/apache/spark/commit/d218c98d7af75ffc13e9900a9370885f83f55dc6).
     * This patch passes all tests.
     * This patch merges cleanly.
     * This patch adds no public classes.


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[GitHub] spark issue #19382: [SPARK-22158][SQL] convertMetastoreOrc/Parquet should no...

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    https://github.com/apache/spark/pull/19382
  
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[GitHub] spark issue #19382: [SPARK-22158][SQL] convertMetastoreOrc/Parquet should no...

Posted by SparkQA <gi...@git.apache.org>.
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    https://github.com/apache/spark/pull/19382
  
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[GitHub] spark issue #19382: [SPARK-22158][SQL] convertMetastoreOrc/Parquet should no...

Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the issue:

    https://github.com/apache/spark/pull/19382
  
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[GitHub] spark issue #19382: [SPARK-22158][SQL] convertMetastore should not ignore ta...

Posted by gatorsmile <gi...@git.apache.org>.
Github user gatorsmile commented on the issue:

    https://github.com/apache/spark/pull/19382
  
    Thanks! Merged to master/2.2


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[GitHub] spark issue #19382: [SPARK-22158][SQL] convertMetastoreOrc/Parquet should no...

Posted by dongjoon-hyun <gi...@git.apache.org>.
Github user dongjoon-hyun commented on the issue:

    https://github.com/apache/spark/pull/19382
  
    It fails due to `flume dependency`.
    ```
    [warn] 	::::::::::::::::::::::::::::::::::::::::::::::
    [warn] 	::          UNRESOLVED DEPENDENCIES         ::
    [warn] 	::::::::::::::::::::::::::::::::::::::::::::::
    [warn] 	:: org.apache.spark#spark-streaming-flume_2.11;2.3.0-SNAPSHOT: not found
    ```


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[GitHub] spark pull request #19382: [SPARK-22158][SQL] convertMetastoreOrc/Parquet sh...

Posted by gatorsmile <gi...@git.apache.org>.
Github user gatorsmile commented on a diff in the pull request:

    https://github.com/apache/spark/pull/19382#discussion_r141938103
  
    --- Diff: sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveDDLSuite.scala ---
    @@ -1437,30 +1439,75 @@ class HiveDDLSuite
         }
       }
     
    -  test("create hive serde table with new syntax") {
    +  test("create hive serde table with new syntax - orc") {
    +    Seq("true", "false").foreach { value =>
    +      withSQLConf(HiveUtils.CONVERT_METASTORE_ORC.key -> value) {
    +        withTable("t", "t2", "t3") {
    +          withTempPath { path =>
    +            sql(
    +              s"""
    +                |CREATE TABLE t(id int) USING hive
    +                |OPTIONS(fileFormat 'orc', compression 'Zlib')
    +                |LOCATION '${path.toURI}'
    +               """.stripMargin)
    +            val table = spark.sessionState.catalog.getTableMetadata(TableIdentifier("t"))
    +            assert(DDLUtils.isHiveTable(table))
    +            assert(table.storage.serde == Some("org.apache.hadoop.hive.ql.io.orc.OrcSerde"))
    +            assert(table.storage.properties.get("compression") == Some("Zlib"))
    +            assert(spark.table("t").collect().isEmpty)
    +
    +            sql("INSERT INTO t SELECT 1")
    +            checkAnswer(spark.table("t"), Row(1))
    +            // Check if this is compressed as ZLIB.
    +            val maybeOrcFile = path.listFiles().find(_.getName.startsWith("part"))
    +            assert(maybeOrcFile.isDefined)
    +            val orcFilePath = maybeOrcFile.get.toPath.toString
    +            val expectedCompressionKind =
    +              OrcFileOperator.getFileReader(orcFilePath).get.getCompression
    +            assert("ZLIB" === expectedCompressionKind.name())
    +
    +            sql("CREATE TABLE t2 USING HIVE AS SELECT 1 AS c1, 'a' AS c2")
    +            val table2 = spark.sessionState.catalog.getTableMetadata(TableIdentifier("t2"))
    +            assert(DDLUtils.isHiveTable(table2))
    +            assert(
    +              table2.storage.serde == Some("org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe"))
    +            checkAnswer(spark.table("t2"), Row(1, "a"))
    +
    +            sql("CREATE TABLE t3(a int, p int) USING hive PARTITIONED BY (p)")
    +            sql("INSERT INTO t3 PARTITION(p=1) SELECT 0")
    +            checkAnswer(spark.table("t3"), Row(0, 1))
    +          }
    +        }
    +      }
    +    }
    +  }
    +
    +  test("create hive serde table with new syntax - parquet") {
         withTable("t", "t2", "t3") {
           withTempPath { path =>
             sql(
               s"""
    -            |CREATE TABLE t(id int) USING hive
    -            |OPTIONS(fileFormat 'orc', compression 'Zlib')
    -            |LOCATION '${path.toURI}'
    -          """.stripMargin)
    +             |CREATE TABLE t(id int) USING hive
    +             |OPTIONS(fileFormat 'parquet', compression 'gzip')
    --- End diff --
    
    Could you combine these two test cases?


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[GitHub] spark pull request #19382: [SPARK-22158][SQL] convertMetastoreOrc/Parquet sh...

Posted by dongjoon-hyun <gi...@git.apache.org>.
Github user dongjoon-hyun commented on a diff in the pull request:

    https://github.com/apache/spark/pull/19382#discussion_r141919805
  
    --- Diff: sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveStrategies.scala ---
    @@ -189,12 +189,12 @@ case class RelationConversions(
       private def convert(relation: HiveTableRelation): LogicalRelation = {
         val serde = relation.tableMeta.storage.serde.getOrElse("").toLowerCase(Locale.ROOT)
         if (serde.contains("parquet")) {
    -      val options = Map(ParquetOptions.MERGE_SCHEMA ->
    +      val options = relation.tableMeta.storage.properties + (ParquetOptions.MERGE_SCHEMA ->
    --- End diff --
    
    Hi, @gatorsmile . It's the same in the Paquet. Without this, the test case for parquet fails.


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[GitHub] spark issue #19382: [SPARK-22158][SQL] convertMetastore should not ignore ta...

Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the issue:

    https://github.com/apache/spark/pull/19382
  
    **[Test build #82395 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/82395/testReport)** for PR 19382 at commit [`17ccf9a`](https://github.com/apache/spark/commit/17ccf9aff9953af421b48262f8fd6af582bddf0a).
     * This patch passes all tests.
     * This patch merges cleanly.
     * This patch adds no public classes.


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[GitHub] spark issue #19382: [SPARK-22158][SQL] convertMetastoreOrc/Parquet should no...

Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the issue:

    https://github.com/apache/spark/pull/19382
  
    **[Test build #82324 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/82324/testReport)** for PR 19382 at commit [`d218c98`](https://github.com/apache/spark/commit/d218c98d7af75ffc13e9900a9370885f83f55dc6).
     * This patch **fails Spark unit tests**.
     * This patch merges cleanly.
     * This patch adds no public classes.


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[GitHub] spark issue #19382: [SPARK-22158][SQL] convertMetastoreOrc should not ignore...

Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the issue:

    https://github.com/apache/spark/pull/19382
  
    Merged build finished. Test PASSed.


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[GitHub] spark issue #19382: [SPARK-22158][SQL] convertMetastore should not ignore ta...

Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the issue:

    https://github.com/apache/spark/pull/19382
  
    Merged build finished. Test PASSed.


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[GitHub] spark issue #19382: [SPARK-22158][SQL] convertMetastore should not ignore ta...

Posted by dongjoon-hyun <gi...@git.apache.org>.
Github user dongjoon-hyun commented on the issue:

    https://github.com/apache/spark/pull/19382
  
    Thank you, @gatorsmile . I'll.


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