csv2parquet | Create Parquet files from CSV | CSV Processing library

by redsymbol Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | csv2parquet Summary

csv2parquet is a Python library typically used in Utilities, CSV Processing applications. csv2parquet has no bugs, it has no vulnerabilities and it has low support. However csv2parquet build file is not available. You can download it from GitHub.

Written by Aaron Maxwell. Contact him at amax@redsymbol.net. For bug reports, please run with the --debug option (see "Troubleshooting" above), and email the script, script_stderr and script_stdout files to the author, along with a description of what happened, and a CSV file that will reproduce the error.

Support

Quality

Security

License

Reuse

Support

csv2parquet has a low active ecosystem.

It has 64 star(s) with 21 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 1 have been closed. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of csv2parquet is current.

Quality

csv2parquet has no bugs reported.

Security

csv2parquet has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

csv2parquet does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

csv2parquet releases are not available. You will need to build from source code and install.

csv2parquet has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed csv2parquet and discovered the below as its top functions. This is intended to give you an instant insight into csv2parquet implemented functionality, and help decide if they suit your requirements.

Run the drill script
Return the line for the column
Render a drill script
Render the drill script
Returns the path to the dfs tmp directory
Return the full path to the tempdir
Get command line arguments
Convert list to dict
Build a script

Get all kandi verified functions for this library.

csv2parquet Key Features

No Key Features are available at this moment for csv2parquet.

csv2parquet Examples and Code Snippets

No Code Snippets are available at this moment for csv2parquet.

Community Discussions

Trending Discussions on csv2parquet

PySpark TypeErrors

Spark TypeError: LongType can not accept object u'Value' in type

QUESTION

PySpark TypeErrors

Asked 2020-Feb-20 at 22:15

Writing a simple CSV to Parquet conversion.

CSV file has a couple of Timestamps in it. Therefore I am getting type errors when I try to write.

To work around that, I tried implementing this line to identify the timestamp cols and perform a to_timestamp on them.

...

ANSWER

Answered 2020-Feb-20 at 22:15

After I modified the dataframe name to df2 for lines 3-6 below, seems to be working fine, and Athena is also returning results.

Source https://stackoverflow.com/questions/60310481

QUESTION

Spark TypeError: LongType can not accept object u'Value' in type

Asked 2017-Feb-01 at 10:12

I am converting a csv file into parquet format using spark. I am using following piece of code.

...

ANSWER

Answered 2017-Feb-01 at 10:12

You need to cast the string encoded number to long:

Source https://stackoverflow.com/questions/41972210

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

Vulnerabilities

No vulnerabilities reported

Install csv2parquet

Your system must have:. There are no other dependencies. You can simply copy the csv2parquet script wherever you'd like, and run it. If you do not currently have Drill installed, simply download the tarball, uncompress it, and add its bin directory in your $PATH. No additional setup is needed. (cvs2parquet just uses the drill-embedded executable.). Currently, csv2parquet runs on OS X and Linux. It has not been tested on Windows, though Windows support is intended, and I appreciate comments, pull requests, etc. to support Windows users. Regarding Python versions: Note that Python 3 safely installs alongside Python 2 with no conflict: even the executables are named differently ("python" for 2.7, and "python3" for 3.x). So you can simply install it to run csv2parquet today on any system you control.
Python 3 (version 3.5 or later).
A quick-and-easy installation of Apache Drill, version 1.4 or 1.5 - see below.

Support

If you encounter a bug, run again with the --debug option. and note the directory name which is printed out at startup. Many files, logs, and other info useful for troubleshooting are stored in a temporary folder. --debug prevents this from being deleted after the program completes. See in particular script, script_stderr and script_stdout from that folder. To report bugs, see "About and Contact" below.

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