Reputation: 2283
I have some code where I read in many parquet tables via a directory and wildcard, like this:
df = sqlContext.read.load("some_dir/*")
Is there some way I can get the source file for each row in the resulting DataFrame, df
?
Upvotes: 2
Views: 2272
Reputation: 40380
Let's create some dummy data and save it in parquet format.
spark.range(1,1000).write.save("./foo/bar")
spark.range(1,2000).write.save("./foo/bar2")
spark.range(1,3000).write.save("./foo/bar3")
Now we can read the data as desired :
import org.apache.spark.sql.functions.input_file_name
spark.read.load("./foo/*")
.select(input_file_name(), $"id")
.show(3,false)
// +---------------------------------------------------------------------------------------+---+
// |INPUT_FILE_NAME() |id |
// +---------------------------------------------------------------------------------------+---+
// |file:/home/eliasah/foo/bar/part-r-00002-9554d123-23fc-4524-a900-1cdbd9274cc3.gz.parquet|500|
// |file:/home/eliasah/foo/bar/part-r-00002-9554d123-23fc-4524-a900-1cdbd9274cc3.gz.parquet|501|
// |file:/home/eliasah/foo/bar/part-r-00002-9554d123-23fc-4524-a900-1cdbd9274cc3.gz.parquet|502|
// +---------------------------------------------------------------------------------------+---+
Since Spark 1.6, you can combine parquet
data source and input_file_name
function as shown above.
This seem to be buggy before spark 2.x with pyspark
, but this is how it's done :
from pyspark.sql.functions import input_file_name
spark.read.load("./foo/*") \
.select(input_file_name(), "id") \
.show(3,truncate=False)
# +---------------------------------------------------------------------------------------+---+
# |INPUT_FILE_NAME() |id |
# +---------------------------------------------------------------------------------------+---+
# |file:/home/eliasah/foo/bar/part-r-00002-9554d123-23fc-4524-a900-1cdbd9274cc3.gz.parquet|500|
# |file:/home/eliasah/foo/bar/part-r-00002-9554d123-23fc-4524-a900-1cdbd9274cc3.gz.parquet|501|
# |file:/home/eliasah/foo/bar/part-r-00002-9554d123-23fc-4524-a900-1cdbd9274cc3.gz.parquet|502|
# +---------------------------------------------------------------------------------------+---+
Upvotes: 3