ccba622e35
## What changes were proposed in this pull request? If case classes have circular references below, it throws StackOverflowError; ``` scala> :pasge case class classA(i: Int, cls: classB) case class classB(cls: classA) scala> Seq(classA(0, null)).toDS() java.lang.StackOverflowError at scala.reflect.internal.Symbols$Symbol.info(Symbols.scala:1494) at scala.reflect.runtime.JavaMirrors$JavaMirror$$anon$1.scala$reflect$runtime$SynchronizedSymbols$SynchronizedSymbol$$super$info(JavaMirrors.scala:66) at scala.reflect.runtime.SynchronizedSymbols$SynchronizedSymbol$$anonfun$info$1.apply(SynchronizedSymbols.scala:127) at scala.reflect.runtime.SynchronizedSymbols$SynchronizedSymbol$$anonfun$info$1.apply(SynchronizedSymbols.scala:127) at scala.reflect.runtime.Gil$class.gilSynchronized(Gil.scala:19) at scala.reflect.runtime.JavaUniverse.gilSynchronized(JavaUniverse.scala:16) at scala.reflect.runtime.SynchronizedSymbols$SynchronizedSymbol$class.gilSynchronizedIfNotThreadsafe(SynchronizedSymbols.scala:123) at scala.reflect.runtime.JavaMirrors$JavaMirror$$anon$1.gilSynchronizedIfNotThreadsafe(JavaMirrors.scala:66) at scala.reflect.runtime.SynchronizedSymbols$SynchronizedSymbol$class.info(SynchronizedSymbols.scala:127) at scala.reflect.runtime.JavaMirrors$JavaMirror$$anon$1.info(JavaMirrors.scala:66) at scala.reflect.internal.Mirrors$RootsBase.getModuleOrClass(Mirrors.scala:48) at scala.reflect.internal.Mirrors$RootsBase.getModuleOrClass(Mirrors.scala:45) at scala.reflect.internal.Mirrors$RootsBase.getModuleOrClass(Mirrors.scala:45) at scala.reflect.internal.Mirrors$RootsBase.getModuleOrClass(Mirrors.scala:45) at scala.reflect.internal.Mirrors$RootsBase.getModuleOrClass(Mirrors.scala:45) ``` This pr added code to throw UnsupportedOperationException in that case as follows; ``` scala> :paste case class A(cls: B) case class B(cls: A) scala> Seq(A(null)).toDS() java.lang.UnsupportedOperationException: cannot have circular references in class, but got the circular reference of class B at org.apache.spark.sql.catalyst.ScalaReflection$.org$apache$spark$sql$catalyst$ScalaReflection$$serializerFor(ScalaReflection.scala:627) at org.apache.spark.sql.catalyst.ScalaReflection$$anonfun$9.apply(ScalaReflection.scala:644) at org.apache.spark.sql.catalyst.ScalaReflection$$anonfun$9.apply(ScalaReflection.scala:632) at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241) at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241) at scala.collection.immutable.List.foreach(List.scala:381) at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241) ``` ## How was this patch tested? Added tests in `DatasetSuite`. Author: Takeshi Yamamuro <yamamuro@apache.org> Closes #17318 from maropu/SPARK-19896. |
||
---|---|---|
.. | ||
catalyst | ||
core | ||
hive | ||
hive-thriftserver | ||
README.md |
Spark SQL
This module provides support for executing relational queries expressed in either SQL or the DataFrame/Dataset API.
Spark SQL is broken up into four subprojects:
- Catalyst (sql/catalyst) - An implementation-agnostic framework for manipulating trees of relational operators and expressions.
- Execution (sql/core) - A query planner / execution engine for translating Catalyst's logical query plans into Spark RDDs. This component also includes a new public interface, SQLContext, that allows users to execute SQL or LINQ statements against existing RDDs and Parquet files.
- Hive Support (sql/hive) - Includes an extension of SQLContext called HiveContext that allows users to write queries using a subset of HiveQL and access data from a Hive Metastore using Hive SerDes. There are also wrappers that allows users to run queries that include Hive UDFs, UDAFs, and UDTFs.
- HiveServer and CLI support (sql/hive-thriftserver) - Includes support for the SQL CLI (bin/spark-sql) and a HiveServer2 (for JDBC/ODBC) compatible server.