spark-csv | CSV Data Source for Apache Spark | JSON Processing library

 by   databricks Scala Version: v1.5.0 License: Apache-2.0

kandi X-RAY | spark-csv Summary

kandi X-RAY | spark-csv Summary

spark-csv is a Scala library typically used in Utilities, JSON Processing applications. spark-csv has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

CSV Data Source for Apache Spark 1.x
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            kandi-support Support

              spark-csv has a medium active ecosystem.
              It has 1051 star(s) with 453 fork(s). There are 363 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              spark-csv has no issues reported. There are 11 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of spark-csv is v1.5.0

            kandi-Quality Quality

              spark-csv has 0 bugs and 0 code smells.

            kandi-Security Security

              spark-csv has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              spark-csv code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              spark-csv is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              spark-csv releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.

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            spark-csv Key Features

            No Key Features are available at this moment for spark-csv.

            spark-csv Examples and Code Snippets

            No Code Snippets are available at this moment for spark-csv.

            Community Discussions

            QUESTION

            In R and Sparklyr, writing a table to .CSV (spark_write_csv) yields many files, not one single file. Why? And can I change that?
            Asked 2021-Nov-25 at 18:44

            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 18:45

            Data 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.

            Source https://stackoverflow.com/questions/68731738

            QUESTION

            Comma inside a column value
            Asked 2021-Mar-09 at 19:52

            I am using spark 3 and below is my code to read a CSV file

            ...

            ANSWER

            Answered 2021-Mar-09 at 19:46

            I 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.

            Source https://stackoverflow.com/questions/66553561

            QUESTION

            How to modifly SPARK_SUBMIT_OPTIONS using ansible
            Asked 2021-Mar-05 at 20:32

            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 20:32

            If you need to work with {{mustashes}} in the text without 'help' from Jinja interpolation, you can use !!unsafe type.

            Source https://stackoverflow.com/questions/66488661

            QUESTION

            Inconsistent behaviour when attempting to write Dataframe to CSV in Apache Spark
            Asked 2020-May-11 at 01:50

            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 01:50

            I 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.

            Source https://stackoverflow.com/questions/61719166

            QUESTION

            HDFS Input path does not
            Asked 2020-Feb-06 at 02:40

            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 02:40

            By default, Spark would be reading from HDFS.

            If the file is at the HDFS root, just use this

            Source https://stackoverflow.com/questions/60081690

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install spark-csv

            You can download it from GitHub.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            gh repo clone databricks/spark-csv

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            git@github.com:databricks/spark-csv.git

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