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Tom van Bussel c6606502a2 [SPARK-35898][SQL] Fix arrays and maps in RowToColumnConverter 
### What changes were proposed in this pull request?

This PR fixes support for arrays and maps in `RowToColumnConverter`. In particular this PR fixes two bugs:

1. `appendArray` in `WritableColumnVector` does not reserve any elements in its child arrays, which causes the assertion in `OffHeapColumnVector.putArray` to fail.
2. The nullability of the child columns is propagated incorrectly when creating the child converters of `ArrayConverter` and `MapConverter` in `RowToColumnConverter`.

This PR fixes these issues.

### Why are the changes needed?

Both bugs cause an exception to be thrown.

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

No

### How was this patch tested?

I added additional test cases to `ColumnVectorSuite` to catch the first bug, and I added `RowToColumnConverterSuite` to catch the both bugs (but specifically the second).

Closes #33108 from tomvanbussel/SPARK-35898.

Authored-by: Tom van Bussel <tom.vanbussel@databricks.com>
Signed-off-by: herman <herman@databricks.com>
2021-06-28 16:50:53 +02:00
..
catalyst [SPARK-35728][SPARK-35778][SQL][TESTS] Check multiply/divide of day-time and year-month interval of any fields by a numeric 2021-06-28 13:35:54 +03:00
core [SPARK-35898][SQL] Fix arrays and maps in RowToColumnConverter 2021-06-28 16:50:53 +02:00
hive [SPARK-35747][CORE] Avoid printing full Exception stack trace, if Hbase/Kafka/Hive services are not running in a secure cluster 2021-06-23 23:12:02 -07:00
hive-thriftserver [SPARK-35838][BUILD][TESTS] Ensure all modules can be maven test independently in Scala 2.13 2021-06-22 06:31:24 -07:00
create-docs.sh [SPARK-34010][SQL][DODCS] Use python3 instead of python in SQL documentation build 2021-01-05 19:48:10 +09:00
gen-sql-api-docs.py [SPARK-34747][SQL][DOCS] Add virtual operators to the built-in function document 2021-03-19 10:19:26 +09:00
gen-sql-config-docs.py [SPARK-32194][PYTHON] Use proper exception classes instead of plain Exception 2021-05-26 11:54:40 +09:00
gen-sql-functions-docs.py [SPARK-31562][SQL] Update ExpressionDescription for substring, current_date, and current_timestamp 2020-04-26 11:46:52 -07:00
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

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.