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Kent Yao d0c4d224e0 [SPARK-36197][SQL] Use PartitionDesc instead of TableDesc for reading hive partitioned tables 
### What changes were proposed in this pull request?

A hive partition can have different `PartitionDesc`s from `TableDesc` for describing Serde/InputFormatClass/OutputFormatClass, for a hive partitioned table, we shall respect those in `PartitionDesc`.

### Why are the changes needed?

in many cases, that Spark reads hive tables could result in surprise because of this issue.

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

yes, hive partition table that contains different serde/input/output could be recognized by Spark

### How was this patch tested?

new test added

Closes #33406 from yaooqinn/SPARK-36197.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>
(cherry picked from commit ef80356614)
Signed-off-by: Kent Yao <yao@apache.org>
2021-07-19 16:00:12 +08:00
..
catalyst [SPARK-36090][SQL] Support TimestampNTZType in expression Sequence 2021-07-18 20:46:37 +03:00
core [SPARK-36184][SQL] Use ValidateRequirements instead of EnsureRequirements to skip AQE rules that adds extra shuffles 2021-07-19 14:14:58 +08:00
hive [SPARK-36197][SQL] Use PartitionDesc instead of TableDesc for reading hive partitioned tables 2021-07-19 16:00:12 +08:00
hive-thriftserver [SPARK-35780][SQL] Support DATE/TIMESTAMP literals across the full range 2021-07-14 18:11:53 +08:00
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
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.