GitHub user HyukjinKwon opened a pull request:
https://github.com/apache/spark/pull/13254
[SPARK-15475][SQL] Support for reading text data source without specifying
schema
## What changes were proposed in this pull request?
Currently, Text data source requires a schema.
So the codes below:
```scala
emptyDf.write
.format("text")
.save(path.getCanonicalPath)
val copyEmptyDf = spark.read
.format("text")
.load(path.getCanonicalPath)
copyEmptyDf.show()
```
throws an exception below:
```scala
key not found: dataSchema
java.util.NoSuchElementException: key not found: dataSchema
at scala.collection.MapLike$class.default(MapLike.scala:228)
at
org.apache.spark.sql.execution.datasources.CaseInsensitiveMap.default(ddl.scala:139)
at scala.collection.MapLike$class.apply(MapLike.scala:141)
at
org.apache.spark.sql.execution.datasources.CaseInsensitiveMap.apply(ddl.scala:139)
at
org.apache.spark.sql.sources.SimpleTextSource.inferSchema(SimpleTextRelation.scala:43)
at
org.apache.spark.sql.execution.datasources.DataSource$$anonfun$15.apply(DataSource.scala:347)
at
org.apache.spark.sql.execution.datasources.DataSource$$anonfun$15.apply(DataSource.scala:347)
at scala.Option.orElse(Option.scala:289)
```
This PR adds the support for a default schema with unnamed columns just
like CSV data sources.
## How was this patch tested?
Unit test in `SimpleTextHadoopFsRelationSuite`.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/HyukjinKwon/spark text-msg
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/13254.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #13254
----
commit a542335f42956d63c7d4513bbaa9097406677c9d
Author: hyukjinkwon <[email protected]>
Date: 2016-05-22T13:09:17Z
Support for reading text data source without specifying schema
----
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