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Cheng Su c21303f02c [SPARK-36594][SQL][3.2] ORC vectorized reader should properly check maximal number of fields 
### What changes were proposed in this pull request?

This is the patch on branch-3.2 for https://github.com/apache/spark/pull/33842. See the description in the other PR.

### Why are the changes needed?

Avoid OOM/performance regression when reading ORC table with nested column types.

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

No.

### How was this patch tested?

Added unit test in `OrcSourceSuite.scala`.

Closes #33843 from c21/branch-3.2.

Authored-by: Cheng Su <chengsu@fb.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2021-08-26 14:55:21 +08:00
..
catalyst [SPARK-36590][SQL] Convert special timestamp_ntz values in the session time zone 2021-08-26 10:11:37 +08:00
core [SPARK-36594][SQL][3.2] ORC vectorized reader should properly check maximal number of fields 2021-08-26 14:55:21 +08:00
hive [SPARK-36552][SQL] Fix different behavior for writing char/varchar to hive and datasource table 2021-08-22 09:38:54 +09:00
hive-thriftserver [SPARK-36398][SQL] Redact sensitive information in Spark Thrift Server log 2021-08-25 21:31:04 +09:00
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.