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Kazuaki Ishizaki b6c50d7820 [SPARK-24228][SQL] Fix Java lint errors 
## What changes were proposed in this pull request?
This PR fixes the following Java lint errors due to importing unimport classes

```
$ dev/lint-java
Using `mvn` from path: /usr/bin/mvn
Checkstyle checks failed at following occurrences:
[ERROR] src/main/java/org/apache/spark/sql/sources/v2/reader/partitioning/Distribution.java:[25] (sizes) LineLength: Line is longer than 100 characters (found 109).
[ERROR] src/main/java/org/apache/spark/sql/sources/v2/reader/streaming/ContinuousReader.java:[38] (sizes) LineLength: Line is longer than 100 characters (found 102).
[ERROR] src/main/java/org/apache/spark/sql/execution/datasources/parquet/SpecificParquetRecordReaderBase.java:[21,8] (imports) UnusedImports: Unused import - java.io.ByteArrayInputStream.
[ERROR] src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedPlainValuesReader.java:[29,8] (imports) UnusedImports: Unused import - org.apache.spark.unsafe.Platform.
[ERROR] src/test/java/test/org/apache/spark/sql/sources/v2/JavaAdvancedDataSourceV2.java:[110] (sizes) LineLength: Line is longer than 100 characters (found 101).
```

With this PR
```
$ dev/lint-java
Using `mvn` from path: /usr/bin/mvn
Checkstyle checks passed.
```

## How was this patch tested?

Existing UTs. Also manually run checkstyles against these two files.

Author: Kazuaki Ishizaki <ishizaki@jp.ibm.com>

Closes #21301 from kiszk/SPARK-24228.
2018-05-14 10:57:10 +08:00
..
catalyst Improve implicitNotFound message for Encoder 2018-05-12 14:35:40 -05:00
core [SPARK-24228][SQL] Fix Java lint errors 2018-05-14 10:57:10 +08:00
hive [SPARK-22279][SQL] Enable convertMetastoreOrc by default 2018-05-10 13:36:52 +08:00
hive-thriftserver [SPARK-24017][SQL] Refactor ExternalCatalog to be an interface 2018-05-06 20:41:32 -07:00
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 [MINOR][DOC] Fix some typos and grammar issues 2018-04-06 13:37:08 +08:00

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 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.