GitHub user izeigerman opened a pull request:
https://github.com/apache/spark/pull/14736
[SPARK-17024][SQL] Weird behaviour of the DataFrame when a column name
contains dots.
## What changes were proposed in this pull request?
The Spark SQL doesnât support field names that contains dots. Itâs not
about queries like `select` but about any manipulations with the dataset.
Here is a dataset example:
```
field1,field1.some,field2,field3.some
"field1","field1.some","field2","field3.some"
```
And a code snippet:
```
scala> spark.sqlContext.read.format("csv").option("header",
"true").option("inferSchema", "true").load(â/tmp/test.csv").collect
```
The result of this operation:
```
org.apache.spark.sql.AnalysisException: Can't extract value from field1#0;
at
org.apache.spark.sql.catalyst.expressions.ExtractValue$.apply(complexTypeExtractors.scala:73)
at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$3.apply(LogicalPlan.scala:253)
at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$3.apply(LogicalPlan.scala:252)
at
scala.collection.LinearSeqOptimized$class.foldLeft(LinearSeqOptimized.scala:124)
at scala.collection.immutable.List.foldLeft(List.scala:84)
at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolve(LogicalPlan.scala:252)
at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveQuoted(LogicalPlan.scala:168)
at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolve$1.apply(LogicalPlan.scala:130)
at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolve$1.apply(LogicalPlan.scala:129)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at scala.collection.Iterator$class.foreach(Iterator.scala:893)
â¦.
```
The following code fails with the same error:
```
scala> val df = spark.sqlContext.read.format("csv").option("header",
"true").option("inferSchema", "true").load("/tmp/test.csv")
df: org.apache.spark.sql.DataFrame = [field1: string, field1.some: string
... 2 more fields]
scala> df.select("field1", "`field1.some`", "field2",
"`field3.some`").collect
```
This patch makes `LogicalPlan` treat a dot-separated string as an
attribute's name in case when nested fields resolution fails.
## How was this patch tested?
Tested with a mentioned CSV file in the `CSVSuite` (not committed). I'm not
sure where exactly I should put a test for this. `LogicalPlanSuite` doesn't
look like appropriate place for this.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/izeigerman/spark iaroslav/spark-17024
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/14736.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 #14736
----
commit 6059dfce21c071f4022ab6a17316a85748f0729e
Author: Iaroslav Zeigerman <[email protected]>
Date: 2016-08-20T19:18:24Z
fix attribute resolution for the Logical Plan in case when attributes
contain dots in their names.
----
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