hadoop-snappy | Snappy compression for Hadoop

by electrum Java Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | hadoop-snappy Summary

hadoop-snappy is a Java library typically used in Big Data, Maven, Hadoop applications. hadoop-snappy has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Hadoop-Snappy enables Snappy compression for Hadoop. This project is integrated into Hadoop Common (JUN 2011). Hadoop-Snappy can be used as an add-on for recent (released) versions of Hadoop that do not provide Snappy Codec support yet. Hadoop-Snappy is being kept in synch with Hadoop Common. Copy (recursively) the lib directory of the expanded tarball in the /lib of all Hadoop nodes.

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Quality

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Support

hadoop-snappy has a low active ecosystem.

It has 40 star(s) with 24 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

hadoop-snappy has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of hadoop-snappy is current.

Quality

hadoop-snappy has 0 bugs and 0 code smells.

Security

hadoop-snappy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

hadoop-snappy code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

hadoop-snappy 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.

Reuse

hadoop-snappy releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

hadoop-snappy saves you 349 person hours of effort in developing the same functionality from scratch.

It has 834 lines of code, 46 functions and 9 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Returns the type of decompressor required for this codec
Returns true if the snappy library is loaded
Returns true if the native snappy libraries are loaded
Gets the compressed data
Sets the uncompressed input data
Initialize the compressor
Resets the compressor
Sets the input data for this decompressor
Sets the input buffer from the compressed data
Returns true if the input data should be written
Checks if the compressed data output stream has been reached
Returns the compression type needed for this snappy
Returns true if the input data needs to be consumed
Finds the path to a shared library
Sets the compressed input data
Fills the specified buffer with uncompressed data
Returns true if the decompressed data output stream has been reached

Get all kandi verified functions for this library.

hadoop-snappy Key Features

No Key Features are available at this moment for hadoop-snappy.

hadoop-snappy Examples and Code Snippets

No Code Snippets are available at this moment for hadoop-snappy.

Community Discussions

Trending Discussions on hadoop-snappy

AWS Glue is not able to read JSON Snappy files

QUESTION

AWS Glue is not able to read JSON Snappy files

Asked 2020-Jun-12 at 00:07

I'm having issues reading data with a AWS Glue Job in PySpark:

Data is sent from a AWS firehose (sample data) to a s3 bucket, stored as JSON and compressed with snappy-hadoop.

I'm able to read data from legacy Spark dataframe with spark.read.json() but this won't work with Glue Dynamic Frame (schema is not parsed at all) using from_catalog or from_options method :

Spark Legacy DataFrame

...

ANSWER

Answered 2020-Jun-11 at 15:45

You can use spark legacy in the glue job also and if you want to perform operations on glue libraries only then read using spark then convert the df into dynamic frame.

Source https://stackoverflow.com/questions/62327898

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

Vulnerabilities

No vulnerabilities reported

Install hadoop-snappy

You can download it from GitHub.
You can use hadoop-snappy like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the hadoop-snappy component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

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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