spark-csv | CSV Data Source for Apache Spark | JSON Processing library
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kandi X-RAY | spark-csv Summary
CSV Data Source for Apache Spark 1.x
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QUESTION
Background
I'm doing some data manipulation (joins, etc.) on a very large dataset in R
, so I decided to use a local installation of Apache Spark and sparklyr
to be able to use my dplyr
code to manipulate it all. (I'm running Windows 10 Pro; R
is 64-bit.) I've done the work needed, and now want to output the sparklyr
table to a .csv file.
The Problem
Here's the code I'm using to output a .csv file to a folder on my hard drive:
...ANSWER
Answered 2021-Aug-10 at 18:45Data will be divided into multiple partitions. When you save the dataframe to CSV, you will get file from each partition. Before calling spark_write_csv method you need to bring all the data to single partition to get single file.
You can use a method called as coalese to achieve this.
QUESTION
I am using spark 3 and below is my code to read a CSV file
...ANSWER
Answered 2021-Mar-09 at 19:46I suspect that's because of the white space. The quote must immediately follow the separator (comma). You can get around this by specifying ignoreLeadingWhiteSpace
and ignoreTrailingWhiteSpace
.
QUESTION
I need to modify the below line with some appended values using ansible. This is the default value in /etc/zeppelin/conf/zeppelin-env.sh file.
...ANSWER
Answered 2021-Mar-05 at 20:32If you need to work with {{mustashes}} in the text without 'help' from Jinja interpolation, you can use !!unsafe
type.
QUESTION
I'm trying to output the optimal hyperparameters for a decision tree classifier I trained using Spark's MLlib to a csv file using Dataframes and spark-csv. Here's a snippet of my code:
...ANSWER
Answered 2020-May-11 at 01:50I think I figured it out. I expected dfTosave.write.format("csv")save(path)
to write everything to the master node, but since the tasks are distributed to all workers, each worker saves its part of the hyperparameters to a local CSV in its filesystem. Because in my case the master node is also a worker, I can see its part of the hyperparameters. The "inconsistent behaviour" (i.e. seeing different parts in each execution) is caused by whatever algorithm Spark uses for distributing partitions among workers.
My solution will be to collect the CSVs from all workers using something like scp
or rsync
to build the full results.
QUESTION
I am new in Spark and wanted to input a csv-file into a dataframe.
I entered this to get into the pyspark shell:
...ANSWER
Answered 2020-Feb-06 at 02:40By default, Spark would be reading from HDFS.
If the file is at the HDFS root, just use this
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