spark-instrumented-optimizer/sql/core
hyukjinkwon 01dd008301 [SPARK-17764][SQL] Add to_json supporting to convert nested struct column to JSON string
## What changes were proposed in this pull request?

This PR proposes to add `to_json` function in contrast with `from_json` in Scala, Java and Python.

It'd be useful if we can convert a same column from/to json. Also, some datasources do not support nested types. If we are forced to save a dataframe into those data sources, we might be able to work around by this function.

The usage is as below:

``` scala
val df = Seq(Tuple1(Tuple1(1))).toDF("a")
df.select(to_json($"a").as("json")).show()
```

``` bash
+--------+
|    json|
+--------+
|{"_1":1}|
+--------+
```
## How was this patch tested?

Unit tests in `JsonFunctionsSuite` and `JsonExpressionsSuite`.

Author: hyukjinkwon <gurwls223@gmail.com>

Closes #15354 from HyukjinKwon/SPARK-17764.
2016-11-01 12:46:41 -07:00
..
benchmarks [SPARK-17335][SQL] Fix ArrayType and MapType CatalogString. 2016-09-03 19:02:20 +02:00
src [SPARK-17764][SQL] Add to_json supporting to convert nested struct column to JSON string 2016-11-01 12:46:41 -07:00
pom.xml [SPARK-17346][SQL][TEST-MAVEN] Generate the sql test jar to fix the maven build 2016-10-05 18:11:31 -07:00