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Java opt MaxPermSize --> MaxMetaspaceSize, includes for Java 17+ sun.nio.ch, java.lang ALL-UNNAMED #464

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Merged
rjurney merged 4 commits into from
Nov 13, 2024
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Java opt MaxPermSize --> MaxMetaspaceSize, includes for Java 17+ sun.nio.ch, java.lang ALL-UNNAMED #464

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20ec0b3
Java opt MaxPermSize --> MaxMetaspaceSize, includes for Java 17+ sun.…
rjurney Nov 11, 2024
2426ab1
Merge branch 'master' of github.com:graphframes/graphframes into rjur…
rjurney Nov 11, 2024
0442215
Default spark.version 3.5.0 --> 3.5.3
rjurney Nov 11, 2024
fe9cc34
Docs update PR - GraphFrames version, future plans re: Apache Spark i…
rjurney Nov 12, 2024
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Docs update PR - GraphFrames version, future plans re: Apache Spark i… 
…nclusion (#467)
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@rjurney
rjurney authored Nov 12, 2024
commit fe9cc34ef838c84360d7b59658b5765acd8f4532
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2 changes: 1 addition & 1 deletion docs/_config.yml
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Expand Up @@ -13,7 +13,7 @@ include:

# These allow the documentation to be updated with newer releases
# of Spark, Scala, and Mesos.
GRAPHFRAMES_VERSION: 0.8.0
GRAPHFRAMES_VERSION: 0.8.4
#SCALA_BINARY_VERSION: "2.10"
#SCALA_VERSION: "2.10.4"
#MESOS_VERSION: 0.21.0
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21 changes: 5 additions & 16 deletions docs/index.md
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Expand Up @@ -27,23 +27,12 @@ Refer to the [User Guide](user-guide.html) for a full list of queries and algori

__Will GraphFrames be part of Apache Spark?__

The GraphX component of Apache Spark has no DataFrames- or Dataset-based equivalent, so it is
natural to ask this question. The current plan is to keep GraphFrames separate from core Apache
Spark for the time being:
The GraphX component of Apache Spark has no DataFrames - or Dataset-based equivalent, so it is
natural to ask this question.

* we are still considering making small adjustments to the API. The GraphFrames project will be
considered for inclusion into Spark once we are confident that the current API addresses current
and future needs.

* some important features present in GraphX such as partitioning are missing. We would like to
offer some equivalent operations before considering merging with the Spark project.

* GraphFrames is used as a testbed for advanced, graph-specific optimizations into Spark’s
Catalyst engine. Having them in a separate project accelerates the development cycle.

That being said, GraphFrames follows the same code quality standards as Spark, and it is
cross-compiled and published for a large number of Spark versions. It is
easy for users to depend on it.
**The new plan is to merge GraphFrames with Apache Spark to make it a component of core Spark.
[Spark committer Holden Karau](https://spark.apache.org/committers.html#:~:text=Holden%20Karau,Netflix)
is willing to support this effort by reviewing the relevant pull requests.**

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