Dear all,
I am trying to store a NumPy array (loaded from an HDF5 dataset)
into one cell of a DataFrame, but I am having problems.
In short, my data layout is similar to a database, where I have a
few columns with metadata (source of information, primary key,
Hi Amol,
Not sure I understand completely your question, but the SQL function
"explode" may help you:
http://spark.apache.org/docs/latest/api/python/pyspark.sql.html#pyspark.sql.functions.explode
Here you can find a nice example:
https://stackoverflow.com/questions/38210507/explode-in-pyspark
se(np.array([0, 1, 2])))])
On Wed, 28 Jun 2017 at 12:23 Judit Planas
<judit.pla...@epfl.ch>
wrote:
Dear all,
I am trying to store a NumPy
t;,explode(sqlContext.read.format("com.databricks.spark.xml").option("rowTag","book").load($"xmlcomment")))
Ayan,
Output of books_inexp.show was as below
title, author
Midnight Rain,Ralls, Kim
Maeve Ascendant, Co
Hello,
I recently came across the "--driver-cores" option when, for
example, launching a PySpark shell.
Provided that there are idle CPUs on driver's node, what would be
the benefit of having multiple driver cores? For example, will this
accelerate the
