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Wenchen Fan a2c1a55b1f [SPARK-35700][SQL][FOLLOWUP] Read schema from ORC files should strip CHAR/VARCHAR types 
### What changes were proposed in this pull request?

This is a followup of https://github.com/apache/spark/pull/33001 , to provide a more direct fix.

The regression in 3.1 was caused by the fact that we changed the parser and allow the parser to return CHAR/VARCHAR type. We should have replaced CHAR/VARCHAR with STRING before the data type flows into the query engine, however, `OrcUtils` is missed.

When reading ORC files, at the task side we will read the real schema from ORC file metadata, then apply filter pushdown. For some reason, the implementation turns ORC schema to Spark schema before filter pushdown, and this step does not strip CHAR/VARCHAR. Note, for Parquet we use the Parquet schema directly in filter pushdown, and do not this have problem.

This PR proposes to replace the CHAR/VARCHAR with STRING when turning ORC schema to Spark schema.

### Why are the changes needed?

a more directly bug fix

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

no

### How was this patch tested?

existing tests

Closes #33030 from cloud-fan/help.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
2021-06-22 13:50:49 -07:00
..
catalyst [SPARK-35854][SQL] Improve the error message of to_timestamp_ntz with invalid format pattern 2021-06-22 23:45:54 +08:00
core [SPARK-35700][SQL][FOLLOWUP] Read schema from ORC files should strip CHAR/VARCHAR types 2021-06-22 13:50:49 -07:00
hive [SPARK-35700][SQL][FOLLOWUP] Read schema from ORC files should strip CHAR/VARCHAR types 2021-06-22 13:50:49 -07:00
hive-thriftserver [SPARK-35838][BUILD][TESTS] Ensure all modules can be maven test independently in Scala 2.13 2021-06-22 06:31:24 -07:00
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 [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

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.