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smurakozi 9948b860ac [SPARK-22516][SQL] Bump up Univocity version to 2.5.9 
## What changes were proposed in this pull request?

There was a bug in Univocity Parser that causes the issue in SPARK-22516. This was fixed by upgrading from 2.5.4 to 2.5.9 version of the library :

**Executing**
```
spark.read.option("header","true").option("inferSchema", "true").option("multiLine", "true").option("comment", "g").csv("test_file_without_eof_char.csv").show()
```
**Before**
```
ERROR Executor: Exception in task 0.0 in stage 6.0 (TID 6)
com.univocity.parsers.common.TextParsingException: java.lang.IllegalArgumentException - Unable to skip 1 lines from line 2. End of input reached
...
Internal state when error was thrown: line=3, column=0, record=2, charIndex=31
	at com.univocity.parsers.common.AbstractParser.handleException(AbstractParser.java:339)
	at com.univocity.parsers.common.AbstractParser.parseNext(AbstractParser.java:475)
	at org.apache.spark.sql.execution.datasources.csv.UnivocityParser$$anon$1.next(UnivocityParser.scala:281)
	at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
```
**After**
```
+-------+-------+
|column1|column2|
+-------+-------+
|    abc|    def|
+-------+-------+
```

## How was this patch tested?
The already existing `CSVSuite.commented lines in CSV data` test was extended to parse the file also in multiline mode. The test input file was modified to also include a comment in the last line.

Author: smurakozi <smurakozi@gmail.com>

Closes #19906 from smurakozi/SPARK-22516.
2017-12-06 13:22:08 -08:00
..
catalyst [SPARK-22720][SS] Make EventTimeWatermark Extend UnaryNode 2017-12-06 13:11:38 -08:00
core [SPARK-22516][SQL] Bump up Univocity version to 2.5.9 2017-12-06 13:22:08 -08:00
hive [SPARK-20392][SQL] Set barrier to prevent re-entering a tree 2017-12-05 21:43:41 -08:00
hive-thriftserver [SPARK-22487][SQL][FOLLOWUP] still keep spark.sql.hive.version 2017-11-13 13:10:13 -08:00
create-docs.sh [MINOR][DOCS] Minor doc fixes related with doc build and uses script dir in SQL doc gen script 2017-08-26 13:56:24 +09:00
gen-sql-markdown.py [SPARK-21485][FOLLOWUP][SQL][DOCS] Describes examples and arguments separately, and note/since in SQL built-in function documentation 2017-08-05 10:10:56 -07:00
mkdocs.yml [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00
README.md [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00

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 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.