dfxml | Digital Forensics XML project | Cybersecurity library

by simsong C++ Version: Current License: Non-SPDX

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kandi X-RAY | dfxml Summary

dfxml is a C++ library typically used in Security, Cybersecurity applications. dfxml has no bugs, it has no vulnerabilities and it has low support. However dfxml has a Non-SPDX License. You can download it from GitHub.

The [DFXML schema] is tracked here similarly to a Git submodule, but without using the Git submodule mechanism to avoid some operational deployment issues. If you would like to check out the tracked schema version, run make schema-init. It is only necessary to check this out if you are testing validation of DFXML content against the schema.

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Quality

Security

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Support

dfxml has a low active ecosystem.

It has 53 star(s) with 24 fork(s). There are 17 watchers for this library.

It had no major release in the last 6 months.

There are 7 open issues and 26 have been closed. On average issues are closed in 331 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of dfxml is current.

Quality

dfxml has no bugs reported.

Security

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

License

dfxml has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

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

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

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dfxml Key Features

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dfxml Examples and Code Snippets

No Code Snippets are available at this moment for dfxml.

Community Discussions

Trending Discussions on dfxml

Iterating Through Spark DataFrame Takes Huge Time and Fails with Error OutOfMemoryError: GC overhead limit exceeded

QUESTION

Iterating Through Spark DataFrame Takes Huge Time and Fails with Error OutOfMemoryError: GC overhead limit exceeded

Asked 2018-May-22 at 12:34

I am processing 5M records present in XML. I load them in Spark Dataframe and then try to load the same to HBase using dataframe foreach method. I get out of memory error after few processing time around the foreach itself or extremely slow loading. Can anyone suggest any solution or better approach?

Code:

...

ANSWER

Answered 2018-May-18 at 16:28

what you need to do is increase default 100 partitions to something more sensible to your workload. Please start with df.repartition(1000). foreachPartition(... and then see if 1000 is too much or too little.

5M records doesn't seem to be a big amount, most likely you either have large records or not enough heap space allocated on executors.

Source https://stackoverflow.com/questions/50409939

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

Vulnerabilities

No vulnerabilities reported

Install dfxml

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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