Explode in PySpark

I would like to transform from a DataFrame that contains lists of words into a DataFrame with each word in its own row.

How do I do explode on a column in a DataFrame?

Here is an example with some of my attempts where you can uncomment each code line and get the error listed in the following comment. I use PySpark in Python 2.7 with Spark 1.6.1.

from pyspark.sql.functions import split, explode
DF = sqlContext.createDataFrame([('cat nn elephant rat n rat cat', )], ['word'])
print 'Dataset:'
DF.show()
print 'nn Trying to do explode: n'
DFsplit_explode = (
 DF
 .select(split(DF['word'], ' '))
#  .select(explode(DF['word']))  # AnalysisException: u"cannot resolve 'explode(word)' due to data type mismatch: input to function explode should be array or map type, not StringType;"
#   .map(explode)  # AttributeError: 'PipelinedRDD' object has no attribute 'show'
#   .explode()  # AttributeError: 'DataFrame' object has no attribute 'explode'
).show()

# Trying without split
print 'nn Only explode: n'

DFsplit_explode = (
 DF 
 .select(explode(DF['word']))  # AnalysisException: u"cannot resolve 'explode(word)' due to data type mismatch: input to function explode should be array or map type, not StringType;"
).show()

Please advice

Answers:

Thank you for visiting the Q&A section on Magenaut. Please note that all the answers may not help you solve the issue immediately. So please treat them as advisements. If you found the post helpful (or not), leave a comment & I’ll get back to you as soon as possible.

Method 1

explode and split are SQL functions. Both operate on SQL Column. split takes a Java regular expression as a second argument. If you want to separate data on arbitrary whitespace you’ll need something like this:

df = sqlContext.createDataFrame(
    [('cat nn elephant rat n rat cat', )], ['word']
)

df.select(explode(split(col("word"), "s+")).alias("word")).show()

## +--------+
## |    word|
## +--------+
## |     cat|
## |elephant|
## |     rat|
## |     rat|
## |     cat|
## +--------+

Method 2

To split on whitespace and also remove blank lines, add the where clause.

DF = sqlContext.createDataFrame([('cat nn elephant rat n rat catnmatn', )], ['word'])

>>> (DF.select(explode(split(DF.word, "s")).alias("word"))
       .where('word != ""')
       .show())

+--------+
|    word|
+--------+
|     cat|
|elephant|
|     rat|
|     rat|
|     cat|
|     mat|
+--------+


All methods was sourced from stackoverflow.com or stackexchange.com, is licensed under cc by-sa 2.5, cc by-sa 3.0 and cc by-sa 4.0

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