s3fs-c | File System in User Space | File Utils library

by tongwang C++ Version: Current License: GPL-2.0

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

kandi X-RAY | s3fs-c Summary

s3fs-c is a C++ library typically used in Utilities, File Utils applications. s3fs-c has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

S3FS-C is a FUSE (File System in User Space) based file system backed by Amazon S3 buckets. Once mounted, a S3 bucket can be used just like it was a local file system.

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Quality

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Support

s3fs-c has a low active ecosystem.

It has 133 star(s) with 34 fork(s). There are 11 watchers for this library.

It had no major release in the last 6 months.

There are 14 open issues and 4 have been closed. On average issues are closed in 0 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of s3fs-c is current.

Quality

s3fs-c has 0 bugs and 0 code smells.

Security

s3fs-c has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

s3fs-c code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

s3fs-c is licensed under the GPL-2.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

s3fs-c releases are not available. You will need to build from source code and install.

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s3fs-c Key Features

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s3fs-c Examples and Code Snippets

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Community Discussions

Trending Discussions on s3fs-c

PySpark hangs on S3 read

QUESTION

PySpark hangs on S3 read

Asked 2022-Jan-11 at 18:16

I want to read files from S3 with PySpark (local installation, not EMR). The problem is that it freezes on read, without any timeout or error.

Versions:

PySpark 3.2.2
Hadoop 3.3.1
Hadoop-AWS 3.3.1 .jar
AWS Java SDK bundle 1.12.136 .jar (also tried 1.11.901)

JAR files are put directly in SPARK_HOME/jars directory, so I don't need to specify them separately here (this approach worked for my other Spark jobs with other JAR dependencies).

My PySpark code:

...

ANSWER

Answered 2022-Jan-11 at 18:16

Through some experimentation (when you wait, the query times out and prints error, but after a long time) I came up with the solution - it suffices to set:

Source https://stackoverflow.com/questions/70670645

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

Vulnerabilities

No vulnerabilities reported

Install s3fs-c

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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