[SPARK-14741][SQL] Fixed error in reading json file stream inside a partitioned directory

[tdas]

What changes were proposed in this pull request?

Consider the following directory structure
dir/col=X/some-files
If we create a text format streaming dataframe on dir/col=X/ then it should not consider as partitioning in columns. Even though the streaming dataframe does not do so, the generated batch dataframes pick up col as a partitioning columns, causing mismatch streaming source schema and generated df schema. This leads to runtime failure:

18:55:11.262 ERROR org.apache.spark.sql.execution.streaming.StreamExecution: Query query-0 terminated with error
java.lang.AssertionError: assertion failed: Invalid batch: c#2 != c#7,type#8

The reason is that the partition inferring code has no idea of a base path, above which it should not search of partitions. This PR makes sure that the batch DF is generated with the basePath set as the original path on which the file stream source is defined.

How was this patch tested?

New unit test

[tdas]

@marmbrus

[SparkQA]

Test build #56313 has finished for PR 12517 at commit a33c29a.

• This patch passes all tests.
• This patch merges cleanly.
• This patch adds no public classes.

[marmbrus]

Thanks, merging to master.