ODIn/spark-instrumented-optimizer
1
0
Fork 0
Code Issues Pull requests Projects Releases Wiki Activity
spark-instrumented-optimizer/sql
History
Michal Senkyr f48273c13c [SPARK-18891][SQL] Support for specific Java List subtypes 
## What changes were proposed in this pull request?

Add support for specific Java `List` subtypes in deserialization as well as a generic implicit encoder.

All `List` subtypes are supported by using either the size-specifying constructor (one `int` parameter) or the default constructor.

Interfaces/abstract classes use the following implementations:

* `java.util.List`, `java.util.AbstractList` or `java.util.AbstractSequentialList` => `java.util.ArrayList`

## How was this patch tested?

```bash
build/mvn -DskipTests clean package && dev/run-tests
```

Additionally in Spark shell:

```
scala> val jlist = new java.util.LinkedList[Int]; jlist.add(1)
jlist: java.util.LinkedList[Int] = [1]
res0: Boolean = true

scala> Seq(jlist).toDS().map(_.element()).collect()
res1: Array[Int] = Array(1)
```

Author: Michal Senkyr <mike.senkyr@gmail.com>

Closes #18009 from michalsenkyr/dataset-java-lists.
2017-06-12 08:53:23 +08:00
..
catalyst [SPARK-18891][SQL] Support for specific Java List subtypes 2017-06-12 08:53:23 +08:00
core [SPARK-18891][SQL] Support for specific Java List subtypes 2017-06-12 08:53:23 +08:00
hive [SPARK-21031][SQL] Add alterTableStats to store spark's stats and let alterTable keep existing stats 2017-06-12 08:23:04 +08:00
hive-thriftserver [SPARK-20966][WEB-UI][SQL] Table data is not sorted by startTime time desc, time is not formatted and redundant code in JDBC/ODBC Server page. 2017-06-07 10:18:40 +01:00
README.md [SPARK-16557][SQL] Remove stale doc in sql/README.md 2016-07-14 19:24:42 -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.