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Chao Sun a927b0836b [SPARK-36726] Upgrade Parquet to 1.12.1 
### What changes were proposed in this pull request?

Upgrade Apache Parquet to 1.12.1

### Why are the changes needed?

Parquet 1.12.1 contains the following bug fixes:
- PARQUET-2064: Make Range public accessible in RowRanges
- PARQUET-2022: ZstdDecompressorStream should close `zstdInputStream`
- PARQUET-2052: Integer overflow when writing huge binary using dictionary encoding
- PARQUET-1633: Fix integer overflow
- PARQUET-2054: fix TCP leaking when calling ParquetFileWriter.appendFile
- PARQUET-2072: Do Not Determine Both Min/Max for Binary Stats
- PARQUET-2073: Fix estimate remaining row count in ColumnWriteStoreBase
- PARQUET-2078: Failed to read parquet file after writing with the same

In particular PARQUET-2078 is a blocker for the upcoming Apache Spark 3.2.0 release.

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

No

### How was this patch tested?

Existing tests + a new test for the issue in SPARK-36696

Closes #33969 from sunchao/upgrade-parquet-12.1.

Authored-by: Chao Sun <sunchao@apple.com>
Signed-off-by: DB Tsai <d_tsai@apple.com>
2021-09-15 19:17:34 +00:00
..
catalyst [SPARK-36755][SQL] ArraysOverlap should handle duplicated Double.NaN and Float.NaN 2021-09-15 22:31:46 +08:00
core [SPARK-36726] Upgrade Parquet to 1.12.1 2021-09-15 19:17:34 +00:00
hive [SPARK-36712][BUILD] Make scala-parallel-collections in 2.13 POM a direct dependency (not in maven profile) 2021-09-13 11:06:50 -05:00
hive-thriftserver [SPARK-36712][BUILD] Make scala-parallel-collections in 2.13 POM a direct dependency (not in maven profile) 2021-09-13 11:06:50 -05:00
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-36657][SQL] Update comment in 'gen-sql-config-docs.py' 2021-09-02 18:50:59 -07:00
gen-sql-functions-docs.py
mkdocs.yml
README.md

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.