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yangjie01 cd0356df9e [SPARK-33673][SQL] Avoid push down partition filters to ParquetScan for DataSourceV2 
### What changes were proposed in this pull request?
As described in SPARK-33673, some test suites in `ParquetV2SchemaPruningSuite` will failed when set `parquet.version` to 1.11.1 because Parquet will return empty results for non-existent column since PARQUET-1765.

This pr change to use `readDataSchema()` instead of `schema` to build `pushedParquetFilters` in `ParquetScanBuilder` to avoid push down partition filters to `ParquetScan` for `DataSourceV2`

### Why are the changes needed?
Prepare for upgrade using Parquet 1.11.1.

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

### How was this patch tested?

- Pass the Jenkins or GitHub Action

- Manual test as follows:

```
mvn -Dtest=none -DwildcardSuites=org.apache.spark.sql.execution.datasources.parquet.ParquetV2SchemaPruningSuite -Dparquet.version=1.11.1 test -pl sql/core -am
```

**Before**

```
Run completed in 3 minutes, 13 seconds.
Total number of tests run: 134
Suites: completed 2, aborted 0
Tests: succeeded 120, failed 14, canceled 0, ignored 0, pending 0
*** 14 TESTS FAILED ***
```

**After**

```
Run completed in 3 minutes, 46 seconds.
Total number of tests run: 134
Suites: completed 2, aborted 0
Tests: succeeded 134, failed 0, canceled 0, ignored 0, pending 0
All tests passed.
```

Closes #30652 from LuciferYang/SPARK-33673.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: Yuming Wang <yumwang@ebay.com>
2020-12-14 17:51:40 +08:00
..
catalyst [SPARK-33751][SQL] Migrate ALTER VIEW ... AS command to use UnresolvedView to resolve the identifier 2020-12-14 08:39:01 +00:00
core [SPARK-33673][SQL] Avoid push down partition filters to ParquetScan for DataSourceV2 2020-12-14 17:51:40 +08:00
hive [SPARK-33546][SQL] Enable row format file format validation in CREATE TABLE LIKE 2020-12-14 08:27:18 +00:00
hive-thriftserver [SPARK-33705][SQL][TEST] Fix HiveThriftHttpServerSuite flakiness 2020-12-14 05:14:38 +00:00
create-docs.sh [SPARK-31550][SQL][DOCS] Set nondeterministic configurations with general meanings in sql configuration doc 2020-04-27 17:08:52 +09:00
gen-sql-api-docs.py [SPARK-31474][SQL][FOLLOWUP] Replace _FUNC_ placeholder with functionname in the note field of expression info 2020-04-23 13:33:04 +09:00
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.