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Wenchen Fan 02c784ca68 [SPARK-34473][SQL] Avoid NPE in DataFrameReader.schema(StructType) 
### What changes were proposed in this pull request?

This fixes a regression in `DataFrameReader.schema(StructType)`, to avoid NPE if the given `StructType` is null. Note that, passing null to Spark public APIs leads to undefined behavior. There is no document mentioning the null behavior, and it's just an accident that `DataFrameReader.schema(StructType)` worked before. So I think this is not a 3.1 blocker.

### Why are the changes needed?

It fixes a 3.1 regression

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

yea, now `df.read.schema(null: StructType)` is a noop as before, while in the current branch-3.1 it throws NPE.

### How was this patch tested?

It's undefined behavior and is very obvious, so I didn't add a test. We should add tests when we clearly define and fix the null behavior for all public APIs.

Closes #31593 from cloud-fan/minor.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2021-02-22 21:11:21 +08:00
..
catalyst [SPARK-34450][SQL][TESTS] Unify v1 and v2 ALTER TABLE .. RENAME tests 2021-02-22 08:36:16 +00:00
core [SPARK-34473][SQL] Avoid NPE in DataFrameReader.schema(StructType) 2021-02-22 21:11:21 +08:00
hive [SPARK-34450][SQL][TESTS] Unify v1 and v2 ALTER TABLE .. RENAME tests 2021-02-22 08:36:16 +00:00
hive-thriftserver [SPARK-34373][SQL] HiveThriftServer2 startWithContext may hang with a race issue 2021-02-21 17:37:12 +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-34022][DOCS][FOLLOW-UP] Fix typo in SQL built-in function docs 2021-01-06 09:28:22 -08:00
gen-sql-config-docs.py [SPARK-31550][SQL][DOCS] Set nondeterministic configurations with general meanings in sql configuration doc 2020-04-27 17:08:52 +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.