313e62c376
### 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> |
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.. | ||
catalyst | ||
core | ||
hive | ||
hive-thriftserver | ||
create-docs.sh | ||
gen-sql-api-docs.py | ||
gen-sql-config-docs.py | ||
mkdocs.yml | ||
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 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.