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[SPARK-17358][SQL] Cached table(parquet/orc) should be shard between beelines

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## What changes were proposed in this pull request?
Cached table(parquet/orc) couldn't be shard between beelines, because the `sameResult` method used by `CacheManager` always return false(`sparkSession` are different) when compare two `HadoopFsRelation` in different beelines. So we make `sparkSession` a curry parameter.

## How was this patch tested?
Beeline1
```
1: jdbc:hive2://localhost:10000> CACHE TABLE src_pqt;
+---------+--+
| Result  |
+---------+--+
+---------+--+
No rows selected (5.143 seconds)
1: jdbc:hive2://localhost:10000> EXPLAIN SELECT * FROM src_pqt;
+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+--+
|                                                                                                                                                                                                            plan                                                                                                                                                                                                            |
+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+--+
| == Physical Plan ==
InMemoryTableScan [key#49, value#50]
   +- InMemoryRelation [key#49, value#50], true, 10000, StorageLevel(disk, memory, deserialized, 1 replicas), `src_pqt`
         +- *FileScan parquet default.src_pqt[key#0,value#1] Batched: true, Format: ParquetFormat, InputPaths: hdfs://199.0.0.1:9000/qiyadong/src_pqt, PartitionFilters: [], PushedFilters: [], ReadSchema: struct<key:int,value:string>  |
+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+--+
```

Beeline2
```
0: jdbc:hive2://localhost:10000> EXPLAIN SELECT * FROM src_pqt;
+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+--+
|                                                                                                                                                                                                            plan                                                                                                                                                                                                            |
+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+--+
| == Physical Plan ==
InMemoryTableScan [key#68, value#69]
   +- InMemoryRelation [key#68, value#69], true, 10000, StorageLevel(disk, memory, deserialized, 1 replicas), `src_pqt`
         +- *FileScan parquet default.src_pqt[key#0,value#1] Batched: true, Format: ParquetFormat, InputPaths: hdfs://199.0.0.1:9000/qiyadong/src_pqt, PartitionFilters: [], PushedFilters: [], ReadSchema: struct<key:int,value:string>  |
+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+--+
```

Author: Yadong Qi <qiyadong2010@gmail.com>

Closes #14913 from watermen/SPARK-17358.
This commit is contained in:
Yadong Qi 2016-09-06 10:57:21 +08:00 committed by Wenchen Fan
parent afb3d5d301
commit 64e826f91e
4 changed files with 7 additions and 9 deletions
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6
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala
View file

@ -351,13 +351,12 @@ case class DataSource(
}
HadoopFsRelation(
sparkSession,
fileCatalog,
partitionSchema = fileCatalog.partitionSpec().partitionColumns,
dataSchema = dataSchema,
bucketSpec = None,
format,
options)
options)(sparkSession)
// This is a non-streaming file based datasource.
case (format: FileFormat, _) =>
@ -409,13 +408,12 @@ case class DataSource(
}
HadoopFsRelation(
sparkSession,
fileCatalog,
partitionSchema = fileCatalog.partitionSpec().partitionColumns,
dataSchema = dataSchema.asNullable,
bucketSpec = bucketSpec,
format,
caseInsensitiveOptions)
caseInsensitiveOptions)(sparkSession)
case _ =>
throw new AnalysisException(

4
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/fileSourceInterfaces.scala
View file

@ -134,13 +134,13 @@ abstract class OutputWriter {
* @param options Configuration used when reading / writing data.
*/
case class HadoopFsRelation(
sparkSession: SparkSession,
location: FileCatalog,
partitionSchema: StructType,
dataSchema: StructType,
bucketSpec: Option[BucketSpec],
fileFormat: FileFormat,
options: Map[String, String]) extends BaseRelation with FileRelation {
options: Map[String, String])(val sparkSession: SparkSession)
extends BaseRelation with FileRelation {
override def sqlContext: SQLContext = sparkSession.sqlContext

3
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/FileSourceStrategySuite.scala
View file

@ -508,7 +508,8 @@ class FileSourceStrategySuite extends QueryTest with SharedSQLContext with Predi
val bucketed = df.queryExecution.analyzed transform {
case l @ LogicalRelation(r: HadoopFsRelation, _, _) =>
l.copy(relation =
r.copy(bucketSpec = Some(BucketSpec(numBuckets = buckets, "c1" :: Nil, Nil))))
r.copy(bucketSpec =
Some(BucketSpec(numBuckets = buckets, "c1" :: Nil, Nil)))(r.sparkSession))
}
Dataset.ofRows(spark, bucketed)
} else {

3
sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveMetastoreCatalog.scala
View file

@ -249,13 +249,12 @@ private[hive] class HiveMetastoreCatalog(sparkSession: SparkSession) extends Log
}
val relation = HadoopFsRelation(
sparkSession = sparkSession,
location = fileCatalog,
partitionSchema = partitionSchema,
dataSchema = inferredSchema,
bucketSpec = bucketSpec,
fileFormat = defaultSource,
options = options)
options = options)(sparkSession = sparkSession)
val created = LogicalRelation(relation, catalogTable = Some(metastoreRelation.catalogTable))
cachedDataSourceTables.put(tableIdentifier, created)