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hyukjinkwon 3f98375d8a [SPARK-18772][SQL] Avoid unnecessary conversion try for special floats in JSON 
## What changes were proposed in this pull request?

This PR is based on  https://github.com/apache/spark/pull/16199 and extracts the valid change from https://github.com/apache/spark/pull/9759 to resolve SPARK-18772

This avoids additional conversion try with `toFloat` and `toDouble`.

For avoiding additional conversions, please refer the codes below:

**Before**

```scala
scala> import org.apache.spark.sql.types._
import org.apache.spark.sql.types._

scala> spark.read.schema(StructType(Seq(StructField("a", DoubleType)))).option("mode", "FAILFAST").json(Seq("""{"a": "nan"}""").toDS).show()
17/05/12 11:30:41 ERROR Executor: Exception in task 0.0 in stage 2.0 (TID 2)
java.lang.NumberFormatException: For input string: "nan"
...
```

**After**

```scala
scala> import org.apache.spark.sql.types._
import org.apache.spark.sql.types._

scala> spark.read.schema(StructType(Seq(StructField("a", DoubleType)))).option("mode", "FAILFAST").json(Seq("""{"a": "nan"}""").toDS).show()
17/05/12 11:44:30 ERROR Executor: Exception in task 0.0 in stage 0.0 (TID 0)
java.lang.RuntimeException: Cannot parse nan as DoubleType.
...
```

## How was this patch tested?

Unit tests added in `JsonSuite`.

Closes #16199

Author: hyukjinkwon <gurwls223@gmail.com>
Author: Nathan Howell <nhowell@godaddy.com>

Closes #17956 from HyukjinKwon/SPARK-18772.
2017-05-13 20:56:04 +08:00
..
catalyst [SPARK-18772][SQL] Avoid unnecessary conversion try for special floats in JSON 2017-05-13 20:56:04 +08:00
core [SPARK-18772][SQL] Avoid unnecessary conversion try for special floats in JSON 2017-05-13 20:56:04 +08:00
hive [SPARK-20594][SQL] The staging directory should be a child directory starts with "." to avoid being deleted if we set hive.exec.stagingdir under the table directory. 2017-05-12 11:24:07 -07:00
hive-thriftserver [SPARK-20393][WEBU UI] Strengthen Spark to prevent XSS vulnerabilities 2017-05-10 10:59:57 +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.