spark-instrumented-optimizer/sql
Angerszhuuuu b58170b192 [SPARK-36312][SQL][FOLLOWUP] Add back ParquetSchemaConverter.checkFieldNames
### What changes were proposed in this pull request?
Add back ParquetSchemaConverter.checkFieldNames()

### Why are the changes needed?
Fix code

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?

Closes #33552 from AngersZhuuuu/SPARK-36312-FOLLOWUP.

Authored-by: Angerszhuuuu <angers.zhu@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit f086c17b8e)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2021-07-28 14:38:36 +08:00
..
catalyst [SPARK-36006][SQL] Migrate ALTER TABLE ... ADD/REPLACE COLUMNS commands to use UnresolvedTable to resolve the identifier 2021-07-28 14:00:44 +08:00
core [SPARK-36312][SQL][FOLLOWUP] Add back ParquetSchemaConverter.checkFieldNames 2021-07-28 14:38:36 +08:00
hive [SPARK-36312][SQL] ParquetWriterSupport.setSchema should check inner field 2021-07-28 13:52:40 +08:00
hive-thriftserver [SPARK-36179][SQL] Support TimestampNTZType in SparkGetColumnsOperation 2021-07-20 09:49:25 +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
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.