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wuyi5 0552c36e02 [SPARK-22967][TESTS] Fix VersionSuite's unit tests by change Windows path into URI path 
## What changes were proposed in this pull request?

Two unit test will fail due to Windows format path:

1.test(s"$version: read avro file containing decimal")
```
org.apache.hadoop.hive.ql.metadata.HiveException: MetaException(message:java.lang.IllegalArgumentException: Can not create a Path from an empty string);
```

2.test(s"$version: SPARK-17920: Insert into/overwrite avro table")
```
Unable to infer the schema. The schema specification is required to create the table `default`.`tab2`.;
org.apache.spark.sql.AnalysisException: Unable to infer the schema. The schema specification is required to create the table `default`.`tab2`.;
```

This pr fix these two unit test by change Windows path into URI path.

## How was this patch tested?
Existed.

Please review http://spark.apache.org/contributing.html before opening a pull request.

Author: wuyi5 <ngone_5451@163.com>

Closes #20199 from Ngone51/SPARK-22967.
2018-01-11 22:17:15 +09:00
..
catalyst [SPARK-22951][SQL] fix aggregation after dropDuplicates on empty data frames 2018-01-10 14:25:04 -08:00
core [SPARK-22951][SQL] fix aggregation after dropDuplicates on empty data frames 2018-01-10 14:25:04 -08:00
hive [SPARK-22967][TESTS] Fix VersionSuite's unit tests by change Windows path into URI path 2018-01-11 22:17:15 +09:00
hive-thriftserver [MINOR][BUILD] Fix Java linter errors 2017-12-28 09:43:50 -06:00
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.