spark-instrumented-optimizer/sql
Takeshi Yamamuro 313e62c376 [SPARK-30998][SQL] ClassCastException when a generator having nested inner generators
### What changes were proposed in this pull request?

A query below failed in the master;

```
scala> sql("select array(array(1, 2), array(3)) ar").select(explode(explode($"ar"))).show()
20/03/01 13:51:56 ERROR Executor: Exception in task 0.0 in stage 0.0 (TID 0)/ 1]
java.lang.ClassCastException: scala.collection.mutable.ArrayOps$ofRef cannot be cast to org.apache.spark.sql.catalyst.util.ArrayData
	at org.apache.spark.sql.catalyst.expressions.ExplodeBase.eval(generators.scala:313)
	at org.apache.spark.sql.execution.GenerateExec.$anonfun$doExecute$8(GenerateExec.scala:108)
	at scala.collection.Iterator$$anon$11.nextCur(Iterator.scala:484)
	at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:490)
	at scala.collection.Iterator$ConcatIterator.hasNext(Iterator.scala:222)
	at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:458)
    ...
```

This pr modified the `hasNestedGenerator` code in `ExtractGenerator` for correctly catching nested inner generators.

### Why are the changes needed?

A bug fix.

### Does this PR introduce any user-facing change?

No.

### How was this patch tested?

Added tests.

Closes #27750 from maropu/HandleNestedGenerators.

Authored-by: Takeshi Yamamuro <yamamuro@apache.org>
Signed-off-by: Takeshi Yamamuro <yamamuro@apache.org>
2020-03-03 19:00:33 +09:00
..
catalyst [SPARK-30998][SQL] ClassCastException when a generator having nested inner generators 2020-03-03 19:00:33 +09:00
core [SPARK-30998][SQL] ClassCastException when a generator having nested inner generators 2020-03-03 19:00:33 +09:00
hive Revert "[SPARK-30808][SQL] Enable Java 8 time API in Thrift server" 2020-03-03 14:21:20 +08:00
hive-thriftserver Revert "[SPARK-30808][SQL] Enable Java 8 time API in Thrift server" 2020-03-03 14:21:20 +08:00
create-docs.sh [SPARK-30510][SQL][DOCS] Publicly document Spark SQL configuration options 2020-02-09 19:20:47 +09:00
gen-sql-api-docs.py [SPARK-30510][SQL][DOCS] Publicly document Spark SQL configuration options 2020-02-09 19:20:47 +09:00
gen-sql-config-docs.py [SPARK-30840][CORE][SQL] Add version property for ConfigEntry and ConfigBuilder 2020-02-22 09:46:42 +09:00
mkdocs.yml [SPARK-30731] Update deprecated Mkdocs option 2020-02-19 17:28:58 +09:00
README.md [SPARK-30510][SQL][DOCS] Publicly document Spark SQL configuration options 2020-02-09 19:20:47 +09:00

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 extensions that allow users to write queries using a subset of HiveQL and access data from a Hive Metastore using Hive SerDes. There are also wrappers that allow 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.

Running ./sql/create-docs.sh generates SQL documentation for built-in functions under sql/site, and SQL configuration documentation that gets included as part of configuration.md in the main docs directory.