17cdabb887
## What changes were proposed in this pull request? Until 2.2.1, Spark raises `NullPointerException` on zero-size ORC files. Usually, these zero-size ORC files are generated by 3rd-party apps like Flume. ```scala scala> sql("create table empty_orc(a int) stored as orc location '/tmp/empty_orc'") $ touch /tmp/empty_orc/zero.orc scala> sql("select * from empty_orc").show java.lang.RuntimeException: serious problem at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat.generateSplitsInfo(OrcInputFormat.java:1021) ... Caused by: java.lang.NullPointerException at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$BISplitStrategy.getSplits(OrcInputFormat.java:560) ``` After [SPARK-22279](https://github.com/apache/spark/pull/19499), Apache Spark with the default configuration doesn't have this bug. Although Hive 1.2.1 library code path still has the problem, we had better have a test coverage on what we have now in order to prevent future regression on it. ## How was this patch tested? Pass a newly added test case. Author: Dongjoon Hyun <dongjoon@apache.org> Closes #19948 from dongjoon-hyun/SPARK-19809-EMPTY-FILE. |
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catalyst | ||
core | ||
hive | ||
hive-thriftserver | ||
create-docs.sh | ||
gen-sql-markdown.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 an extension of SQLContext called HiveContext that allows users to write queries using a subset of HiveQL and access data from a Hive Metastore using Hive SerDes. There are also wrappers that allows 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
.