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I cannot simply chose versions of my preference. For most libraries, I need to pick the versions that come along with Spark. Those libraries are marked as "provided" anyway, and it is the responsibility of the platform provider to perform any patching.

I need to check the remaining upgrades (grpc and AWS).


<!-- Default Hadoop version (3.3) -->
<hadoop.version>3.3.4</hadoop.version>
<hadoop.version>3.3.6</hadoop.version>
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Spark 3.5.7 provides Hadoop 3.3.4

<antlr4.version>4.9.3</antlr4.version>
<avro.version>1.11.4</avro.version>
<commons-cli.version>1.5.0</commons-cli.version>
<commons-cli.version>1.11.0</commons-cli.version>
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Spark 3.5.7 provides commons-cli 1.5.0

<commons-collections.version>3.2.2</commons-collections.version>
<commons-compiler.version>3.1.9</commons-compiler.version>
<commons-compress.version>1.23.0</commons-compress.version>
<commons-compress.version>1.28.0</commons-compress.version>
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Spark 3.5.7 provides commons-compress 1.23.0

<commons-compress.version>1.28.0</commons-compress.version>
<commons-io.version>2.16.1</commons-io.version>
<commons-lang3.version>3.12.0</commons-lang3.version>
<commons-lang3.version>3.20.0</commons-lang3.version>
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Spark 3.5.7 provides commons-lang3 version 3.12.0

<derby.version>10.14.2.0</derby.version>
<dropwizard.version>4.2.0</dropwizard.version>
<gson.version>2.2.4</gson.version>
<gson.version>2.13.2</gson.version>
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Spark 3.5.7 provides gson version 2.2.4

<jersey.version>2.40</jersey.version>
<joda-time.version>2.12.5</joda-time.version>
<json4s.version>3.7.0-M11</json4s.version>
<json4s.version>4.1.0-M8</json4s.version>
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Spark 3.5.7 provides json4.3 version 3.7.0-M11

<log4j.slf4j-impl>log4j-slf4j2-impl</log4j.slf4j-impl>
<lz4.version>1.8.0</lz4.version>
<netty-all.version>4.1.96.Final</netty-all.version>
<netty-all.version>4.2.7.Final</netty-all.version>
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Spark 3.5.7 provides version 4.1.96.Final

<curator-client.version>2.12.0</curator-client.version>
<curator.version>2.7.1</curator.version>
<derby.version>10.14.2.0</derby.version>
<derby.version>10.17.1.0</derby.version>
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Spark 3.5.7 provides version 10.14.2.0

<httpclient.version>4.5.6</httpclient.version>
<httpcore.version>4.4.10</httpcore.version>
<ivy.version>2.4.0</ivy.version>
<ivy.version>2.5.3</ivy.version>
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This looks like the CDH build profile. I can't remember, but I assume that I chose the version being provided by Cloudera.

<junit.version>5.8.2</junit.version>
<netty.version>3.9.9.Final</netty.version>
<protobuf.version>2.5.0</protobuf.version>
<protobuf.version>4.33.1</protobuf.version>
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I need to check that. Spark version 3.4 and lower provide protobuf version 2.5.0. This means that the scope of protobuf (compile/provided) also needs to depend on the Spark version.

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3 participants