[SPARK-30491][INFRA] Enable dependency audit files to tell dependency classifier
### What changes were proposed in this pull request?
Enable dependency audit files to tell the value of artifact id, version, and classifier of a dependency.
For example, `avro-mapred-1.8.2-hadoop2.jar` should be expanded to `avro-mapred/1.8.2/hadoop2/avro-mapred-1.8.2-hadoop2.jar` where `avro-mapred` is the artifact id, `1.8.2` is the version, and `haddop2` is the classifier.
### Why are the changes needed?
Dependency audit files are expected to be consumed by automated tests or downstream tools.
However, current dependency audit files under `dev/deps` only show jar names. And there isn't a simple rule on how to parse the jar name to get the values of different fields. For example, `hadoop2` is the classifier of `avro-mapred-1.8.2-hadoop2.jar`, in contrast, `incubating` is the version of `htrace-core-3.1.0-incubating.jar`.
Reference: There is a good example of the downstream tool that would be enabled as yhuai suggested,
> Say we have a Spark application that depends on a third-party dependency `foo`, which pulls in `jackson` as a transient dependency. Unfortunately, `foo` depends on a different version of `jackson` than Spark. So, in the pom of this Spark application, we use the dependency management section to pin the version of `jackson`. By doing this, we are lifting `jackson` to the top-level dependency of my application and I want to have a way to keep tracking what Spark uses. What we can do is to cross-check my Spark application's classpath with what Spark uses. Then, with a test written in my code base, whenever my application bumps Spark version, this test will check what we define in the application and what Spark has, and then remind us to change our application's pom if needed. In my case, I am fine to directly access git to get these audit files.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Code changes are verified by generated dependency audit files naturally. Thus, there are no tests added.
Closes #27177 from mengCareers/depsOptimize.
Lead-authored-by: Xinrong Meng <meng.careers@gmail.com>
Co-authored-by: mengCareers <meng.careers@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2020-01-15 23:19:44 -05:00
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HikariCP/2.5.1//HikariCP-2.5.1.jar
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JLargeArrays/1.5//JLargeArrays-1.5.jar
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JTransforms/3.1//JTransforms-3.1.jar
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2020-07-25 13:58:25 -04:00
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RoaringBitmap/0.9.0//RoaringBitmap-0.9.0.jar
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[SPARK-30491][INFRA] Enable dependency audit files to tell dependency classifier
### What changes were proposed in this pull request?
Enable dependency audit files to tell the value of artifact id, version, and classifier of a dependency.
For example, `avro-mapred-1.8.2-hadoop2.jar` should be expanded to `avro-mapred/1.8.2/hadoop2/avro-mapred-1.8.2-hadoop2.jar` where `avro-mapred` is the artifact id, `1.8.2` is the version, and `haddop2` is the classifier.
### Why are the changes needed?
Dependency audit files are expected to be consumed by automated tests or downstream tools.
However, current dependency audit files under `dev/deps` only show jar names. And there isn't a simple rule on how to parse the jar name to get the values of different fields. For example, `hadoop2` is the classifier of `avro-mapred-1.8.2-hadoop2.jar`, in contrast, `incubating` is the version of `htrace-core-3.1.0-incubating.jar`.
Reference: There is a good example of the downstream tool that would be enabled as yhuai suggested,
> Say we have a Spark application that depends on a third-party dependency `foo`, which pulls in `jackson` as a transient dependency. Unfortunately, `foo` depends on a different version of `jackson` than Spark. So, in the pom of this Spark application, we use the dependency management section to pin the version of `jackson`. By doing this, we are lifting `jackson` to the top-level dependency of my application and I want to have a way to keep tracking what Spark uses. What we can do is to cross-check my Spark application's classpath with what Spark uses. Then, with a test written in my code base, whenever my application bumps Spark version, this test will check what we define in the application and what Spark has, and then remind us to change our application's pom if needed. In my case, I am fine to directly access git to get these audit files.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Code changes are verified by generated dependency audit files naturally. Thus, there are no tests added.
Closes #27177 from mengCareers/depsOptimize.
Lead-authored-by: Xinrong Meng <meng.careers@gmail.com>
Co-authored-by: mengCareers <meng.careers@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2020-01-15 23:19:44 -05:00
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ST4/4.0.4//ST4-4.0.4.jar
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activation/1.1.1//activation-1.1.1.jar
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aircompressor/0.10//aircompressor-0.10.jar
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algebra_2.12/2.0.0-M2//algebra_2.12-2.0.0-M2.jar
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antlr-runtime/3.5.2//antlr-runtime-3.5.2.jar
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antlr4-runtime/4.7.1//antlr4-runtime-4.7.1.jar
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aopalliance-repackaged/2.6.1//aopalliance-repackaged-2.6.1.jar
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aopalliance/1.0//aopalliance-1.0.jar
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apacheds-i18n/2.0.0-M15//apacheds-i18n-2.0.0-M15.jar
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apacheds-kerberos-codec/2.0.0-M15//apacheds-kerberos-codec-2.0.0-M15.jar
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api-asn1-api/1.0.0-M20//api-asn1-api-1.0.0-M20.jar
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api-util/1.0.0-M20//api-util-1.0.0-M20.jar
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arpack_combined_all/0.1//arpack_combined_all-0.1.jar
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2020-09-10 01:16:19 -04:00
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arrow-format/1.0.1//arrow-format-1.0.1.jar
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arrow-memory-core/1.0.1//arrow-memory-core-1.0.1.jar
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arrow-memory-netty/1.0.1//arrow-memory-netty-1.0.1.jar
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arrow-vector/1.0.1//arrow-vector-1.0.1.jar
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[SPARK-30491][INFRA] Enable dependency audit files to tell dependency classifier
### What changes were proposed in this pull request?
Enable dependency audit files to tell the value of artifact id, version, and classifier of a dependency.
For example, `avro-mapred-1.8.2-hadoop2.jar` should be expanded to `avro-mapred/1.8.2/hadoop2/avro-mapred-1.8.2-hadoop2.jar` where `avro-mapred` is the artifact id, `1.8.2` is the version, and `haddop2` is the classifier.
### Why are the changes needed?
Dependency audit files are expected to be consumed by automated tests or downstream tools.
However, current dependency audit files under `dev/deps` only show jar names. And there isn't a simple rule on how to parse the jar name to get the values of different fields. For example, `hadoop2` is the classifier of `avro-mapred-1.8.2-hadoop2.jar`, in contrast, `incubating` is the version of `htrace-core-3.1.0-incubating.jar`.
Reference: There is a good example of the downstream tool that would be enabled as yhuai suggested,
> Say we have a Spark application that depends on a third-party dependency `foo`, which pulls in `jackson` as a transient dependency. Unfortunately, `foo` depends on a different version of `jackson` than Spark. So, in the pom of this Spark application, we use the dependency management section to pin the version of `jackson`. By doing this, we are lifting `jackson` to the top-level dependency of my application and I want to have a way to keep tracking what Spark uses. What we can do is to cross-check my Spark application's classpath with what Spark uses. Then, with a test written in my code base, whenever my application bumps Spark version, this test will check what we define in the application and what Spark has, and then remind us to change our application's pom if needed. In my case, I am fine to directly access git to get these audit files.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Code changes are verified by generated dependency audit files naturally. Thus, there are no tests added.
Closes #27177 from mengCareers/depsOptimize.
Lead-authored-by: Xinrong Meng <meng.careers@gmail.com>
Co-authored-by: mengCareers <meng.careers@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2020-01-15 23:19:44 -05:00
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audience-annotations/0.5.0//audience-annotations-0.5.0.jar
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automaton/1.11-8//automaton-1.11-8.jar
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avro-ipc/1.8.2//avro-ipc-1.8.2.jar
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avro-mapred/1.8.2/hadoop2/avro-mapred-1.8.2-hadoop2.jar
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avro/1.8.2//avro-1.8.2.jar
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bonecp/0.8.0.RELEASE//bonecp-0.8.0.RELEASE.jar
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breeze-macros_2.12/1.0//breeze-macros_2.12-1.0.jar
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breeze_2.12/1.0//breeze_2.12-1.0.jar
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cats-kernel_2.12/2.0.0-M4//cats-kernel_2.12-2.0.0-M4.jar
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2020-01-19 21:39:38 -05:00
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chill-java/0.9.5//chill-java-0.9.5.jar
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chill_2.12/0.9.5//chill_2.12-0.9.5.jar
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[SPARK-30491][INFRA] Enable dependency audit files to tell dependency classifier
### What changes were proposed in this pull request?
Enable dependency audit files to tell the value of artifact id, version, and classifier of a dependency.
For example, `avro-mapred-1.8.2-hadoop2.jar` should be expanded to `avro-mapred/1.8.2/hadoop2/avro-mapred-1.8.2-hadoop2.jar` where `avro-mapred` is the artifact id, `1.8.2` is the version, and `haddop2` is the classifier.
### Why are the changes needed?
Dependency audit files are expected to be consumed by automated tests or downstream tools.
However, current dependency audit files under `dev/deps` only show jar names. And there isn't a simple rule on how to parse the jar name to get the values of different fields. For example, `hadoop2` is the classifier of `avro-mapred-1.8.2-hadoop2.jar`, in contrast, `incubating` is the version of `htrace-core-3.1.0-incubating.jar`.
Reference: There is a good example of the downstream tool that would be enabled as yhuai suggested,
> Say we have a Spark application that depends on a third-party dependency `foo`, which pulls in `jackson` as a transient dependency. Unfortunately, `foo` depends on a different version of `jackson` than Spark. So, in the pom of this Spark application, we use the dependency management section to pin the version of `jackson`. By doing this, we are lifting `jackson` to the top-level dependency of my application and I want to have a way to keep tracking what Spark uses. What we can do is to cross-check my Spark application's classpath with what Spark uses. Then, with a test written in my code base, whenever my application bumps Spark version, this test will check what we define in the application and what Spark has, and then remind us to change our application's pom if needed. In my case, I am fine to directly access git to get these audit files.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Code changes are verified by generated dependency audit files naturally. Thus, there are no tests added.
Closes #27177 from mengCareers/depsOptimize.
Lead-authored-by: Xinrong Meng <meng.careers@gmail.com>
Co-authored-by: mengCareers <meng.careers@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2020-01-15 23:19:44 -05:00
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commons-beanutils/1.9.4//commons-beanutils-1.9.4.jar
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commons-cli/1.2//commons-cli-1.2.jar
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commons-codec/1.10//commons-codec-1.10.jar
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commons-collections/3.2.2//commons-collections-3.2.2.jar
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2020-08-20 16:26:39 -04:00
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commons-compiler/3.0.16//commons-compiler-3.0.16.jar
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[SPARK-30491][INFRA] Enable dependency audit files to tell dependency classifier
### What changes were proposed in this pull request?
Enable dependency audit files to tell the value of artifact id, version, and classifier of a dependency.
For example, `avro-mapred-1.8.2-hadoop2.jar` should be expanded to `avro-mapred/1.8.2/hadoop2/avro-mapred-1.8.2-hadoop2.jar` where `avro-mapred` is the artifact id, `1.8.2` is the version, and `haddop2` is the classifier.
### Why are the changes needed?
Dependency audit files are expected to be consumed by automated tests or downstream tools.
However, current dependency audit files under `dev/deps` only show jar names. And there isn't a simple rule on how to parse the jar name to get the values of different fields. For example, `hadoop2` is the classifier of `avro-mapred-1.8.2-hadoop2.jar`, in contrast, `incubating` is the version of `htrace-core-3.1.0-incubating.jar`.
Reference: There is a good example of the downstream tool that would be enabled as yhuai suggested,
> Say we have a Spark application that depends on a third-party dependency `foo`, which pulls in `jackson` as a transient dependency. Unfortunately, `foo` depends on a different version of `jackson` than Spark. So, in the pom of this Spark application, we use the dependency management section to pin the version of `jackson`. By doing this, we are lifting `jackson` to the top-level dependency of my application and I want to have a way to keep tracking what Spark uses. What we can do is to cross-check my Spark application's classpath with what Spark uses. Then, with a test written in my code base, whenever my application bumps Spark version, this test will check what we define in the application and what Spark has, and then remind us to change our application's pom if needed. In my case, I am fine to directly access git to get these audit files.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Code changes are verified by generated dependency audit files naturally. Thus, there are no tests added.
Closes #27177 from mengCareers/depsOptimize.
Lead-authored-by: Xinrong Meng <meng.careers@gmail.com>
Co-authored-by: mengCareers <meng.careers@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2020-01-15 23:19:44 -05:00
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commons-compress/1.8.1//commons-compress-1.8.1.jar
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commons-configuration/1.6//commons-configuration-1.6.jar
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commons-crypto/1.0.0//commons-crypto-1.0.0.jar
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commons-dbcp/1.4//commons-dbcp-1.4.jar
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commons-digester/1.8//commons-digester-1.8.jar
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commons-httpclient/3.1//commons-httpclient-3.1.jar
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commons-io/2.4//commons-io-2.4.jar
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commons-lang/2.6//commons-lang-2.6.jar
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2020-06-23 03:59:55 -04:00
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commons-lang3/3.10//commons-lang3-3.10.jar
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[SPARK-30491][INFRA] Enable dependency audit files to tell dependency classifier
### What changes were proposed in this pull request?
Enable dependency audit files to tell the value of artifact id, version, and classifier of a dependency.
For example, `avro-mapred-1.8.2-hadoop2.jar` should be expanded to `avro-mapred/1.8.2/hadoop2/avro-mapred-1.8.2-hadoop2.jar` where `avro-mapred` is the artifact id, `1.8.2` is the version, and `haddop2` is the classifier.
### Why are the changes needed?
Dependency audit files are expected to be consumed by automated tests or downstream tools.
However, current dependency audit files under `dev/deps` only show jar names. And there isn't a simple rule on how to parse the jar name to get the values of different fields. For example, `hadoop2` is the classifier of `avro-mapred-1.8.2-hadoop2.jar`, in contrast, `incubating` is the version of `htrace-core-3.1.0-incubating.jar`.
Reference: There is a good example of the downstream tool that would be enabled as yhuai suggested,
> Say we have a Spark application that depends on a third-party dependency `foo`, which pulls in `jackson` as a transient dependency. Unfortunately, `foo` depends on a different version of `jackson` than Spark. So, in the pom of this Spark application, we use the dependency management section to pin the version of `jackson`. By doing this, we are lifting `jackson` to the top-level dependency of my application and I want to have a way to keep tracking what Spark uses. What we can do is to cross-check my Spark application's classpath with what Spark uses. Then, with a test written in my code base, whenever my application bumps Spark version, this test will check what we define in the application and what Spark has, and then remind us to change our application's pom if needed. In my case, I am fine to directly access git to get these audit files.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Code changes are verified by generated dependency audit files naturally. Thus, there are no tests added.
Closes #27177 from mengCareers/depsOptimize.
Lead-authored-by: Xinrong Meng <meng.careers@gmail.com>
Co-authored-by: mengCareers <meng.careers@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2020-01-15 23:19:44 -05:00
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commons-logging/1.1.3//commons-logging-1.1.3.jar
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commons-math3/3.4.1//commons-math3-3.4.1.jar
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commons-net/3.1//commons-net-3.1.jar
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commons-pool/1.5.4//commons-pool-1.5.4.jar
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commons-text/1.6//commons-text-1.6.jar
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compress-lzf/1.0.3//compress-lzf-1.0.3.jar
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core/1.1.2//core-1.1.2.jar
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curator-client/2.7.1//curator-client-2.7.1.jar
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curator-framework/2.7.1//curator-framework-2.7.1.jar
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curator-recipes/2.7.1//curator-recipes-2.7.1.jar
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datanucleus-api-jdo/4.2.4//datanucleus-api-jdo-4.2.4.jar
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datanucleus-core/4.1.17//datanucleus-core-4.1.17.jar
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datanucleus-rdbms/4.1.19//datanucleus-rdbms-4.1.19.jar
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derby/10.12.1.1//derby-10.12.1.1.jar
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dropwizard-metrics-hadoop-metrics2-reporter/0.1.2//dropwizard-metrics-hadoop-metrics2-reporter-0.1.2.jar
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flatbuffers-java/1.9.0//flatbuffers-java-1.9.0.jar
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generex/1.0.2//generex-1.0.2.jar
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gson/2.2.4//gson-2.2.4.jar
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guava/14.0.1//guava-14.0.1.jar
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guice-servlet/3.0//guice-servlet-3.0.jar
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guice/3.0//guice-3.0.jar
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hadoop-annotations/2.7.4//hadoop-annotations-2.7.4.jar
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hadoop-auth/2.7.4//hadoop-auth-2.7.4.jar
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hadoop-client/2.7.4//hadoop-client-2.7.4.jar
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hadoop-common/2.7.4//hadoop-common-2.7.4.jar
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hadoop-hdfs/2.7.4//hadoop-hdfs-2.7.4.jar
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hadoop-mapreduce-client-app/2.7.4//hadoop-mapreduce-client-app-2.7.4.jar
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hadoop-mapreduce-client-common/2.7.4//hadoop-mapreduce-client-common-2.7.4.jar
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hadoop-mapreduce-client-core/2.7.4//hadoop-mapreduce-client-core-2.7.4.jar
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hadoop-mapreduce-client-jobclient/2.7.4//hadoop-mapreduce-client-jobclient-2.7.4.jar
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hadoop-mapreduce-client-shuffle/2.7.4//hadoop-mapreduce-client-shuffle-2.7.4.jar
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hadoop-yarn-api/2.7.4//hadoop-yarn-api-2.7.4.jar
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hadoop-yarn-client/2.7.4//hadoop-yarn-client-2.7.4.jar
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hadoop-yarn-common/2.7.4//hadoop-yarn-common-2.7.4.jar
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hadoop-yarn-server-common/2.7.4//hadoop-yarn-server-common-2.7.4.jar
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hadoop-yarn-server-web-proxy/2.7.4//hadoop-yarn-server-web-proxy-2.7.4.jar
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2020-04-20 16:38:24 -04:00
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hive-beeline/2.3.7//hive-beeline-2.3.7.jar
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hive-cli/2.3.7//hive-cli-2.3.7.jar
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hive-common/2.3.7//hive-common-2.3.7.jar
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hive-exec/2.3.7/core/hive-exec-2.3.7-core.jar
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hive-jdbc/2.3.7//hive-jdbc-2.3.7.jar
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hive-llap-common/2.3.7//hive-llap-common-2.3.7.jar
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hive-metastore/2.3.7//hive-metastore-2.3.7.jar
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hive-serde/2.3.7//hive-serde-2.3.7.jar
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hive-shims-0.23/2.3.7//hive-shims-0.23-2.3.7.jar
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hive-shims-common/2.3.7//hive-shims-common-2.3.7.jar
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hive-shims-scheduler/2.3.7//hive-shims-scheduler-2.3.7.jar
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hive-shims/2.3.7//hive-shims-2.3.7.jar
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2020-10-01 15:41:40 -04:00
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hive-storage-api/2.7.2//hive-storage-api-2.7.2.jar
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2020-04-20 16:38:24 -04:00
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hive-vector-code-gen/2.3.7//hive-vector-code-gen-2.3.7.jar
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[SPARK-30491][INFRA] Enable dependency audit files to tell dependency classifier
### What changes were proposed in this pull request?
Enable dependency audit files to tell the value of artifact id, version, and classifier of a dependency.
For example, `avro-mapred-1.8.2-hadoop2.jar` should be expanded to `avro-mapred/1.8.2/hadoop2/avro-mapred-1.8.2-hadoop2.jar` where `avro-mapred` is the artifact id, `1.8.2` is the version, and `haddop2` is the classifier.
### Why are the changes needed?
Dependency audit files are expected to be consumed by automated tests or downstream tools.
However, current dependency audit files under `dev/deps` only show jar names. And there isn't a simple rule on how to parse the jar name to get the values of different fields. For example, `hadoop2` is the classifier of `avro-mapred-1.8.2-hadoop2.jar`, in contrast, `incubating` is the version of `htrace-core-3.1.0-incubating.jar`.
Reference: There is a good example of the downstream tool that would be enabled as yhuai suggested,
> Say we have a Spark application that depends on a third-party dependency `foo`, which pulls in `jackson` as a transient dependency. Unfortunately, `foo` depends on a different version of `jackson` than Spark. So, in the pom of this Spark application, we use the dependency management section to pin the version of `jackson`. By doing this, we are lifting `jackson` to the top-level dependency of my application and I want to have a way to keep tracking what Spark uses. What we can do is to cross-check my Spark application's classpath with what Spark uses. Then, with a test written in my code base, whenever my application bumps Spark version, this test will check what we define in the application and what Spark has, and then remind us to change our application's pom if needed. In my case, I am fine to directly access git to get these audit files.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Code changes are verified by generated dependency audit files naturally. Thus, there are no tests added.
Closes #27177 from mengCareers/depsOptimize.
Lead-authored-by: Xinrong Meng <meng.careers@gmail.com>
Co-authored-by: mengCareers <meng.careers@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2020-01-15 23:19:44 -05:00
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hk2-api/2.6.1//hk2-api-2.6.1.jar
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hk2-locator/2.6.1//hk2-locator-2.6.1.jar
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hk2-utils/2.6.1//hk2-utils-2.6.1.jar
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htrace-core/3.1.0-incubating//htrace-core-3.1.0-incubating.jar
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httpclient/4.5.6//httpclient-4.5.6.jar
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httpcore/4.4.12//httpcore-4.4.12.jar
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istack-commons-runtime/3.0.8//istack-commons-runtime-3.0.8.jar
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ivy/2.4.0//ivy-2.4.0.jar
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jackson-annotations/2.10.0//jackson-annotations-2.10.0.jar
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jackson-core-asl/1.9.13//jackson-core-asl-1.9.13.jar
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jackson-core/2.10.0//jackson-core-2.10.0.jar
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jackson-databind/2.10.0//jackson-databind-2.10.0.jar
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jackson-dataformat-yaml/2.10.0//jackson-dataformat-yaml-2.10.0.jar
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2020-05-23 14:07:45 -04:00
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jackson-datatype-jsr310/2.10.3//jackson-datatype-jsr310-2.10.3.jar
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[SPARK-30491][INFRA] Enable dependency audit files to tell dependency classifier
### What changes were proposed in this pull request?
Enable dependency audit files to tell the value of artifact id, version, and classifier of a dependency.
For example, `avro-mapred-1.8.2-hadoop2.jar` should be expanded to `avro-mapred/1.8.2/hadoop2/avro-mapred-1.8.2-hadoop2.jar` where `avro-mapred` is the artifact id, `1.8.2` is the version, and `haddop2` is the classifier.
### Why are the changes needed?
Dependency audit files are expected to be consumed by automated tests or downstream tools.
However, current dependency audit files under `dev/deps` only show jar names. And there isn't a simple rule on how to parse the jar name to get the values of different fields. For example, `hadoop2` is the classifier of `avro-mapred-1.8.2-hadoop2.jar`, in contrast, `incubating` is the version of `htrace-core-3.1.0-incubating.jar`.
Reference: There is a good example of the downstream tool that would be enabled as yhuai suggested,
> Say we have a Spark application that depends on a third-party dependency `foo`, which pulls in `jackson` as a transient dependency. Unfortunately, `foo` depends on a different version of `jackson` than Spark. So, in the pom of this Spark application, we use the dependency management section to pin the version of `jackson`. By doing this, we are lifting `jackson` to the top-level dependency of my application and I want to have a way to keep tracking what Spark uses. What we can do is to cross-check my Spark application's classpath with what Spark uses. Then, with a test written in my code base, whenever my application bumps Spark version, this test will check what we define in the application and what Spark has, and then remind us to change our application's pom if needed. In my case, I am fine to directly access git to get these audit files.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Code changes are verified by generated dependency audit files naturally. Thus, there are no tests added.
Closes #27177 from mengCareers/depsOptimize.
Lead-authored-by: Xinrong Meng <meng.careers@gmail.com>
Co-authored-by: mengCareers <meng.careers@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2020-01-15 23:19:44 -05:00
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jackson-jaxrs/1.9.13//jackson-jaxrs-1.9.13.jar
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jackson-mapper-asl/1.9.13//jackson-mapper-asl-1.9.13.jar
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jackson-module-jaxb-annotations/2.10.0//jackson-module-jaxb-annotations-2.10.0.jar
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jackson-module-paranamer/2.10.0//jackson-module-paranamer-2.10.0.jar
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jackson-module-scala_2.12/2.10.0//jackson-module-scala_2.12-2.10.0.jar
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jackson-xc/1.9.13//jackson-xc-1.9.13.jar
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jakarta.activation-api/1.2.1//jakarta.activation-api-1.2.1.jar
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jakarta.annotation-api/1.3.5//jakarta.annotation-api-1.3.5.jar
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jakarta.inject/2.6.1//jakarta.inject-2.6.1.jar
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jakarta.validation-api/2.0.2//jakarta.validation-api-2.0.2.jar
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jakarta.ws.rs-api/2.1.6//jakarta.ws.rs-api-2.1.6.jar
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jakarta.xml.bind-api/2.3.2//jakarta.xml.bind-api-2.3.2.jar
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2020-08-20 16:26:39 -04:00
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janino/3.0.16//janino-3.0.16.jar
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2020-01-25 18:41:55 -05:00
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javassist/3.25.0-GA//javassist-3.25.0-GA.jar
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[SPARK-30491][INFRA] Enable dependency audit files to tell dependency classifier
### What changes were proposed in this pull request?
Enable dependency audit files to tell the value of artifact id, version, and classifier of a dependency.
For example, `avro-mapred-1.8.2-hadoop2.jar` should be expanded to `avro-mapred/1.8.2/hadoop2/avro-mapred-1.8.2-hadoop2.jar` where `avro-mapred` is the artifact id, `1.8.2` is the version, and `haddop2` is the classifier.
### Why are the changes needed?
Dependency audit files are expected to be consumed by automated tests or downstream tools.
However, current dependency audit files under `dev/deps` only show jar names. And there isn't a simple rule on how to parse the jar name to get the values of different fields. For example, `hadoop2` is the classifier of `avro-mapred-1.8.2-hadoop2.jar`, in contrast, `incubating` is the version of `htrace-core-3.1.0-incubating.jar`.
Reference: There is a good example of the downstream tool that would be enabled as yhuai suggested,
> Say we have a Spark application that depends on a third-party dependency `foo`, which pulls in `jackson` as a transient dependency. Unfortunately, `foo` depends on a different version of `jackson` than Spark. So, in the pom of this Spark application, we use the dependency management section to pin the version of `jackson`. By doing this, we are lifting `jackson` to the top-level dependency of my application and I want to have a way to keep tracking what Spark uses. What we can do is to cross-check my Spark application's classpath with what Spark uses. Then, with a test written in my code base, whenever my application bumps Spark version, this test will check what we define in the application and what Spark has, and then remind us to change our application's pom if needed. In my case, I am fine to directly access git to get these audit files.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Code changes are verified by generated dependency audit files naturally. Thus, there are no tests added.
Closes #27177 from mengCareers/depsOptimize.
Lead-authored-by: Xinrong Meng <meng.careers@gmail.com>
Co-authored-by: mengCareers <meng.careers@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2020-01-15 23:19:44 -05:00
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javax.inject/1//javax.inject-1.jar
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javax.jdo/3.2.0-m3//javax.jdo-3.2.0-m3.jar
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javax.servlet-api/3.1.0//javax.servlet-api-3.1.0.jar
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javolution/5.5.1//javolution-5.5.1.jar
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jaxb-api/2.2.2//jaxb-api-2.2.2.jar
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jaxb-runtime/2.3.2//jaxb-runtime-2.3.2.jar
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2020-05-04 11:14:12 -04:00
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jcl-over-slf4j/1.7.30//jcl-over-slf4j-1.7.30.jar
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[SPARK-30491][INFRA] Enable dependency audit files to tell dependency classifier
### What changes were proposed in this pull request?
Enable dependency audit files to tell the value of artifact id, version, and classifier of a dependency.
For example, `avro-mapred-1.8.2-hadoop2.jar` should be expanded to `avro-mapred/1.8.2/hadoop2/avro-mapred-1.8.2-hadoop2.jar` where `avro-mapred` is the artifact id, `1.8.2` is the version, and `haddop2` is the classifier.
### Why are the changes needed?
Dependency audit files are expected to be consumed by automated tests or downstream tools.
However, current dependency audit files under `dev/deps` only show jar names. And there isn't a simple rule on how to parse the jar name to get the values of different fields. For example, `hadoop2` is the classifier of `avro-mapred-1.8.2-hadoop2.jar`, in contrast, `incubating` is the version of `htrace-core-3.1.0-incubating.jar`.
Reference: There is a good example of the downstream tool that would be enabled as yhuai suggested,
> Say we have a Spark application that depends on a third-party dependency `foo`, which pulls in `jackson` as a transient dependency. Unfortunately, `foo` depends on a different version of `jackson` than Spark. So, in the pom of this Spark application, we use the dependency management section to pin the version of `jackson`. By doing this, we are lifting `jackson` to the top-level dependency of my application and I want to have a way to keep tracking what Spark uses. What we can do is to cross-check my Spark application's classpath with what Spark uses. Then, with a test written in my code base, whenever my application bumps Spark version, this test will check what we define in the application and what Spark has, and then remind us to change our application's pom if needed. In my case, I am fine to directly access git to get these audit files.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Code changes are verified by generated dependency audit files naturally. Thus, there are no tests added.
Closes #27177 from mengCareers/depsOptimize.
Lead-authored-by: Xinrong Meng <meng.careers@gmail.com>
Co-authored-by: mengCareers <meng.careers@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2020-01-15 23:19:44 -05:00
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jdo-api/3.0.1//jdo-api-3.0.1.jar
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2020-01-25 18:41:55 -05:00
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jersey-client/2.30//jersey-client-2.30.jar
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jersey-common/2.30//jersey-common-2.30.jar
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jersey-container-servlet-core/2.30//jersey-container-servlet-core-2.30.jar
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jersey-container-servlet/2.30//jersey-container-servlet-2.30.jar
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jersey-hk2/2.30//jersey-hk2-2.30.jar
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jersey-media-jaxb/2.30//jersey-media-jaxb-2.30.jar
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jersey-server/2.30//jersey-server-2.30.jar
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[SPARK-30491][INFRA] Enable dependency audit files to tell dependency classifier
### What changes were proposed in this pull request?
Enable dependency audit files to tell the value of artifact id, version, and classifier of a dependency.
For example, `avro-mapred-1.8.2-hadoop2.jar` should be expanded to `avro-mapred/1.8.2/hadoop2/avro-mapred-1.8.2-hadoop2.jar` where `avro-mapred` is the artifact id, `1.8.2` is the version, and `haddop2` is the classifier.
### Why are the changes needed?
Dependency audit files are expected to be consumed by automated tests or downstream tools.
However, current dependency audit files under `dev/deps` only show jar names. And there isn't a simple rule on how to parse the jar name to get the values of different fields. For example, `hadoop2` is the classifier of `avro-mapred-1.8.2-hadoop2.jar`, in contrast, `incubating` is the version of `htrace-core-3.1.0-incubating.jar`.
Reference: There is a good example of the downstream tool that would be enabled as yhuai suggested,
> Say we have a Spark application that depends on a third-party dependency `foo`, which pulls in `jackson` as a transient dependency. Unfortunately, `foo` depends on a different version of `jackson` than Spark. So, in the pom of this Spark application, we use the dependency management section to pin the version of `jackson`. By doing this, we are lifting `jackson` to the top-level dependency of my application and I want to have a way to keep tracking what Spark uses. What we can do is to cross-check my Spark application's classpath with what Spark uses. Then, with a test written in my code base, whenever my application bumps Spark version, this test will check what we define in the application and what Spark has, and then remind us to change our application's pom if needed. In my case, I am fine to directly access git to get these audit files.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Code changes are verified by generated dependency audit files naturally. Thus, there are no tests added.
Closes #27177 from mengCareers/depsOptimize.
Lead-authored-by: Xinrong Meng <meng.careers@gmail.com>
Co-authored-by: mengCareers <meng.careers@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2020-01-15 23:19:44 -05:00
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jetty-sslengine/6.1.26//jetty-sslengine-6.1.26.jar
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jetty-util/6.1.26//jetty-util-6.1.26.jar
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jetty/6.1.26//jetty-6.1.26.jar
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jline/2.14.6//jline-2.14.6.jar
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joda-time/2.10.5//joda-time-2.10.5.jar
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jodd-core/3.5.2//jodd-core-3.5.2.jar
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jpam/1.1//jpam-1.1.jar
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json/1.8//json-1.8.jar
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2020-07-25 23:34:31 -04:00
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json4s-ast_2.12/3.7.0-M5//json4s-ast_2.12-3.7.0-M5.jar
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json4s-core_2.12/3.7.0-M5//json4s-core_2.12-3.7.0-M5.jar
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json4s-jackson_2.12/3.7.0-M5//json4s-jackson_2.12-3.7.0-M5.jar
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json4s-scalap_2.12/3.7.0-M5//json4s-scalap_2.12-3.7.0-M5.jar
|
[SPARK-30491][INFRA] Enable dependency audit files to tell dependency classifier
### What changes were proposed in this pull request?
Enable dependency audit files to tell the value of artifact id, version, and classifier of a dependency.
For example, `avro-mapred-1.8.2-hadoop2.jar` should be expanded to `avro-mapred/1.8.2/hadoop2/avro-mapred-1.8.2-hadoop2.jar` where `avro-mapred` is the artifact id, `1.8.2` is the version, and `haddop2` is the classifier.
### Why are the changes needed?
Dependency audit files are expected to be consumed by automated tests or downstream tools.
However, current dependency audit files under `dev/deps` only show jar names. And there isn't a simple rule on how to parse the jar name to get the values of different fields. For example, `hadoop2` is the classifier of `avro-mapred-1.8.2-hadoop2.jar`, in contrast, `incubating` is the version of `htrace-core-3.1.0-incubating.jar`.
Reference: There is a good example of the downstream tool that would be enabled as yhuai suggested,
> Say we have a Spark application that depends on a third-party dependency `foo`, which pulls in `jackson` as a transient dependency. Unfortunately, `foo` depends on a different version of `jackson` than Spark. So, in the pom of this Spark application, we use the dependency management section to pin the version of `jackson`. By doing this, we are lifting `jackson` to the top-level dependency of my application and I want to have a way to keep tracking what Spark uses. What we can do is to cross-check my Spark application's classpath with what Spark uses. Then, with a test written in my code base, whenever my application bumps Spark version, this test will check what we define in the application and what Spark has, and then remind us to change our application's pom if needed. In my case, I am fine to directly access git to get these audit files.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Code changes are verified by generated dependency audit files naturally. Thus, there are no tests added.
Closes #27177 from mengCareers/depsOptimize.
Lead-authored-by: Xinrong Meng <meng.careers@gmail.com>
Co-authored-by: mengCareers <meng.careers@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2020-01-15 23:19:44 -05:00
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jsp-api/2.1//jsp-api-2.1.jar
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jsr305/3.0.0//jsr305-3.0.0.jar
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jta/1.1//jta-1.1.jar
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2020-05-04 11:14:12 -04:00
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jul-to-slf4j/1.7.30//jul-to-slf4j-1.7.30.jar
|
[SPARK-30491][INFRA] Enable dependency audit files to tell dependency classifier
### What changes were proposed in this pull request?
Enable dependency audit files to tell the value of artifact id, version, and classifier of a dependency.
For example, `avro-mapred-1.8.2-hadoop2.jar` should be expanded to `avro-mapred/1.8.2/hadoop2/avro-mapred-1.8.2-hadoop2.jar` where `avro-mapred` is the artifact id, `1.8.2` is the version, and `haddop2` is the classifier.
### Why are the changes needed?
Dependency audit files are expected to be consumed by automated tests or downstream tools.
However, current dependency audit files under `dev/deps` only show jar names. And there isn't a simple rule on how to parse the jar name to get the values of different fields. For example, `hadoop2` is the classifier of `avro-mapred-1.8.2-hadoop2.jar`, in contrast, `incubating` is the version of `htrace-core-3.1.0-incubating.jar`.
Reference: There is a good example of the downstream tool that would be enabled as yhuai suggested,
> Say we have a Spark application that depends on a third-party dependency `foo`, which pulls in `jackson` as a transient dependency. Unfortunately, `foo` depends on a different version of `jackson` than Spark. So, in the pom of this Spark application, we use the dependency management section to pin the version of `jackson`. By doing this, we are lifting `jackson` to the top-level dependency of my application and I want to have a way to keep tracking what Spark uses. What we can do is to cross-check my Spark application's classpath with what Spark uses. Then, with a test written in my code base, whenever my application bumps Spark version, this test will check what we define in the application and what Spark has, and then remind us to change our application's pom if needed. In my case, I am fine to directly access git to get these audit files.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Code changes are verified by generated dependency audit files naturally. Thus, there are no tests added.
Closes #27177 from mengCareers/depsOptimize.
Lead-authored-by: Xinrong Meng <meng.careers@gmail.com>
Co-authored-by: mengCareers <meng.careers@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2020-01-15 23:19:44 -05:00
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kryo-shaded/4.0.2//kryo-shaded-4.0.2.jar
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2020-09-30 22:00:18 -04:00
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kubernetes-client/4.10.3//kubernetes-client-4.10.3.jar
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kubernetes-model-admissionregistration/4.10.3//kubernetes-model-admissionregistration-4.10.3.jar
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kubernetes-model-apiextensions/4.10.3//kubernetes-model-apiextensions-4.10.3.jar
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kubernetes-model-apps/4.10.3//kubernetes-model-apps-4.10.3.jar
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kubernetes-model-autoscaling/4.10.3//kubernetes-model-autoscaling-4.10.3.jar
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kubernetes-model-batch/4.10.3//kubernetes-model-batch-4.10.3.jar
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kubernetes-model-certificates/4.10.3//kubernetes-model-certificates-4.10.3.jar
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kubernetes-model-common/4.10.3//kubernetes-model-common-4.10.3.jar
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kubernetes-model-coordination/4.10.3//kubernetes-model-coordination-4.10.3.jar
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kubernetes-model-core/4.10.3//kubernetes-model-core-4.10.3.jar
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kubernetes-model-discovery/4.10.3//kubernetes-model-discovery-4.10.3.jar
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kubernetes-model-events/4.10.3//kubernetes-model-events-4.10.3.jar
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kubernetes-model-extensions/4.10.3//kubernetes-model-extensions-4.10.3.jar
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kubernetes-model-metrics/4.10.3//kubernetes-model-metrics-4.10.3.jar
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kubernetes-model-networking/4.10.3//kubernetes-model-networking-4.10.3.jar
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kubernetes-model-policy/4.10.3//kubernetes-model-policy-4.10.3.jar
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kubernetes-model-rbac/4.10.3//kubernetes-model-rbac-4.10.3.jar
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kubernetes-model-scheduling/4.10.3//kubernetes-model-scheduling-4.10.3.jar
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kubernetes-model-settings/4.10.3//kubernetes-model-settings-4.10.3.jar
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kubernetes-model-storageclass/4.10.3//kubernetes-model-storageclass-4.10.3.jar
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[SPARK-30491][INFRA] Enable dependency audit files to tell dependency classifier
### What changes were proposed in this pull request?
Enable dependency audit files to tell the value of artifact id, version, and classifier of a dependency.
For example, `avro-mapred-1.8.2-hadoop2.jar` should be expanded to `avro-mapred/1.8.2/hadoop2/avro-mapred-1.8.2-hadoop2.jar` where `avro-mapred` is the artifact id, `1.8.2` is the version, and `haddop2` is the classifier.
### Why are the changes needed?
Dependency audit files are expected to be consumed by automated tests or downstream tools.
However, current dependency audit files under `dev/deps` only show jar names. And there isn't a simple rule on how to parse the jar name to get the values of different fields. For example, `hadoop2` is the classifier of `avro-mapred-1.8.2-hadoop2.jar`, in contrast, `incubating` is the version of `htrace-core-3.1.0-incubating.jar`.
Reference: There is a good example of the downstream tool that would be enabled as yhuai suggested,
> Say we have a Spark application that depends on a third-party dependency `foo`, which pulls in `jackson` as a transient dependency. Unfortunately, `foo` depends on a different version of `jackson` than Spark. So, in the pom of this Spark application, we use the dependency management section to pin the version of `jackson`. By doing this, we are lifting `jackson` to the top-level dependency of my application and I want to have a way to keep tracking what Spark uses. What we can do is to cross-check my Spark application's classpath with what Spark uses. Then, with a test written in my code base, whenever my application bumps Spark version, this test will check what we define in the application and what Spark has, and then remind us to change our application's pom if needed. In my case, I am fine to directly access git to get these audit files.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Code changes are verified by generated dependency audit files naturally. Thus, there are no tests added.
Closes #27177 from mengCareers/depsOptimize.
Lead-authored-by: Xinrong Meng <meng.careers@gmail.com>
Co-authored-by: mengCareers <meng.careers@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2020-01-15 23:19:44 -05:00
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leveldbjni-all/1.8//leveldbjni-all-1.8.jar
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libfb303/0.9.3//libfb303-0.9.3.jar
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libthrift/0.12.0//libthrift-0.12.0.jar
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log4j/1.2.17//log4j-1.2.17.jar
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2020-09-30 22:00:18 -04:00
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logging-interceptor/3.12.12//logging-interceptor-3.12.12.jar
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2020-01-19 22:05:30 -05:00
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lz4-java/1.7.1//lz4-java-1.7.1.jar
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[SPARK-30491][INFRA] Enable dependency audit files to tell dependency classifier
### What changes were proposed in this pull request?
Enable dependency audit files to tell the value of artifact id, version, and classifier of a dependency.
For example, `avro-mapred-1.8.2-hadoop2.jar` should be expanded to `avro-mapred/1.8.2/hadoop2/avro-mapred-1.8.2-hadoop2.jar` where `avro-mapred` is the artifact id, `1.8.2` is the version, and `haddop2` is the classifier.
### Why are the changes needed?
Dependency audit files are expected to be consumed by automated tests or downstream tools.
However, current dependency audit files under `dev/deps` only show jar names. And there isn't a simple rule on how to parse the jar name to get the values of different fields. For example, `hadoop2` is the classifier of `avro-mapred-1.8.2-hadoop2.jar`, in contrast, `incubating` is the version of `htrace-core-3.1.0-incubating.jar`.
Reference: There is a good example of the downstream tool that would be enabled as yhuai suggested,
> Say we have a Spark application that depends on a third-party dependency `foo`, which pulls in `jackson` as a transient dependency. Unfortunately, `foo` depends on a different version of `jackson` than Spark. So, in the pom of this Spark application, we use the dependency management section to pin the version of `jackson`. By doing this, we are lifting `jackson` to the top-level dependency of my application and I want to have a way to keep tracking what Spark uses. What we can do is to cross-check my Spark application's classpath with what Spark uses. Then, with a test written in my code base, whenever my application bumps Spark version, this test will check what we define in the application and what Spark has, and then remind us to change our application's pom if needed. In my case, I am fine to directly access git to get these audit files.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Code changes are verified by generated dependency audit files naturally. Thus, there are no tests added.
Closes #27177 from mengCareers/depsOptimize.
Lead-authored-by: Xinrong Meng <meng.careers@gmail.com>
Co-authored-by: mengCareers <meng.careers@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2020-01-15 23:19:44 -05:00
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machinist_2.12/0.6.8//machinist_2.12-0.6.8.jar
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macro-compat_2.12/1.1.1//macro-compat_2.12-1.1.1.jar
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mesos/1.4.0/shaded-protobuf/mesos-1.4.0-shaded-protobuf.jar
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metrics-core/4.1.1//metrics-core-4.1.1.jar
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metrics-graphite/4.1.1//metrics-graphite-4.1.1.jar
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metrics-jmx/4.1.1//metrics-jmx-4.1.1.jar
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metrics-json/4.1.1//metrics-json-4.1.1.jar
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metrics-jvm/4.1.1//metrics-jvm-4.1.1.jar
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minlog/1.3.0//minlog-1.3.0.jar
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2020-08-02 19:46:11 -04:00
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netty-all/4.1.51.Final//netty-all-4.1.51.Final.jar
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2020-07-23 19:20:17 -04:00
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objenesis/2.6//objenesis-2.6.jar
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2020-09-30 22:00:18 -04:00
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okhttp/3.12.12//okhttp-3.12.12.jar
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2020-07-23 19:20:17 -04:00
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okio/1.14.0//okio-1.14.0.jar
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[SPARK-30491][INFRA] Enable dependency audit files to tell dependency classifier
### What changes were proposed in this pull request?
Enable dependency audit files to tell the value of artifact id, version, and classifier of a dependency.
For example, `avro-mapred-1.8.2-hadoop2.jar` should be expanded to `avro-mapred/1.8.2/hadoop2/avro-mapred-1.8.2-hadoop2.jar` where `avro-mapred` is the artifact id, `1.8.2` is the version, and `haddop2` is the classifier.
### Why are the changes needed?
Dependency audit files are expected to be consumed by automated tests or downstream tools.
However, current dependency audit files under `dev/deps` only show jar names. And there isn't a simple rule on how to parse the jar name to get the values of different fields. For example, `hadoop2` is the classifier of `avro-mapred-1.8.2-hadoop2.jar`, in contrast, `incubating` is the version of `htrace-core-3.1.0-incubating.jar`.
Reference: There is a good example of the downstream tool that would be enabled as yhuai suggested,
> Say we have a Spark application that depends on a third-party dependency `foo`, which pulls in `jackson` as a transient dependency. Unfortunately, `foo` depends on a different version of `jackson` than Spark. So, in the pom of this Spark application, we use the dependency management section to pin the version of `jackson`. By doing this, we are lifting `jackson` to the top-level dependency of my application and I want to have a way to keep tracking what Spark uses. What we can do is to cross-check my Spark application's classpath with what Spark uses. Then, with a test written in my code base, whenever my application bumps Spark version, this test will check what we define in the application and what Spark has, and then remind us to change our application's pom if needed. In my case, I am fine to directly access git to get these audit files.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Code changes are verified by generated dependency audit files naturally. Thus, there are no tests added.
Closes #27177 from mengCareers/depsOptimize.
Lead-authored-by: Xinrong Meng <meng.careers@gmail.com>
Co-authored-by: mengCareers <meng.careers@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2020-01-15 23:19:44 -05:00
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opencsv/2.3//opencsv-2.3.jar
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2020-09-30 22:00:18 -04:00
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openshift-model/4.10.3//openshift-model-4.10.3.jar
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2020-04-27 21:56:30 -04:00
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orc-core/1.5.10//orc-core-1.5.10.jar
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orc-mapreduce/1.5.10//orc-mapreduce-1.5.10.jar
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orc-shims/1.5.10//orc-shims-1.5.10.jar
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[SPARK-30491][INFRA] Enable dependency audit files to tell dependency classifier
### What changes were proposed in this pull request?
Enable dependency audit files to tell the value of artifact id, version, and classifier of a dependency.
For example, `avro-mapred-1.8.2-hadoop2.jar` should be expanded to `avro-mapred/1.8.2/hadoop2/avro-mapred-1.8.2-hadoop2.jar` where `avro-mapred` is the artifact id, `1.8.2` is the version, and `haddop2` is the classifier.
### Why are the changes needed?
Dependency audit files are expected to be consumed by automated tests or downstream tools.
However, current dependency audit files under `dev/deps` only show jar names. And there isn't a simple rule on how to parse the jar name to get the values of different fields. For example, `hadoop2` is the classifier of `avro-mapred-1.8.2-hadoop2.jar`, in contrast, `incubating` is the version of `htrace-core-3.1.0-incubating.jar`.
Reference: There is a good example of the downstream tool that would be enabled as yhuai suggested,
> Say we have a Spark application that depends on a third-party dependency `foo`, which pulls in `jackson` as a transient dependency. Unfortunately, `foo` depends on a different version of `jackson` than Spark. So, in the pom of this Spark application, we use the dependency management section to pin the version of `jackson`. By doing this, we are lifting `jackson` to the top-level dependency of my application and I want to have a way to keep tracking what Spark uses. What we can do is to cross-check my Spark application's classpath with what Spark uses. Then, with a test written in my code base, whenever my application bumps Spark version, this test will check what we define in the application and what Spark has, and then remind us to change our application's pom if needed. In my case, I am fine to directly access git to get these audit files.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Code changes are verified by generated dependency audit files naturally. Thus, there are no tests added.
Closes #27177 from mengCareers/depsOptimize.
Lead-authored-by: Xinrong Meng <meng.careers@gmail.com>
Co-authored-by: mengCareers <meng.careers@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2020-01-15 23:19:44 -05:00
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oro/2.0.8//oro-2.0.8.jar
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osgi-resource-locator/1.0.3//osgi-resource-locator-1.0.3.jar
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paranamer/2.8//paranamer-2.8.jar
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parquet-column/1.10.1//parquet-column-1.10.1.jar
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parquet-common/1.10.1//parquet-common-1.10.1.jar
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parquet-encoding/1.10.1//parquet-encoding-1.10.1.jar
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parquet-format/2.4.0//parquet-format-2.4.0.jar
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parquet-hadoop/1.10.1//parquet-hadoop-1.10.1.jar
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parquet-jackson/1.10.1//parquet-jackson-1.10.1.jar
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protobuf-java/2.5.0//protobuf-java-2.5.0.jar
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2020-02-20 12:08:33 -05:00
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py4j/0.10.9//py4j-0.10.9.jar
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[SPARK-30491][INFRA] Enable dependency audit files to tell dependency classifier
### What changes were proposed in this pull request?
Enable dependency audit files to tell the value of artifact id, version, and classifier of a dependency.
For example, `avro-mapred-1.8.2-hadoop2.jar` should be expanded to `avro-mapred/1.8.2/hadoop2/avro-mapred-1.8.2-hadoop2.jar` where `avro-mapred` is the artifact id, `1.8.2` is the version, and `haddop2` is the classifier.
### Why are the changes needed?
Dependency audit files are expected to be consumed by automated tests or downstream tools.
However, current dependency audit files under `dev/deps` only show jar names. And there isn't a simple rule on how to parse the jar name to get the values of different fields. For example, `hadoop2` is the classifier of `avro-mapred-1.8.2-hadoop2.jar`, in contrast, `incubating` is the version of `htrace-core-3.1.0-incubating.jar`.
Reference: There is a good example of the downstream tool that would be enabled as yhuai suggested,
> Say we have a Spark application that depends on a third-party dependency `foo`, which pulls in `jackson` as a transient dependency. Unfortunately, `foo` depends on a different version of `jackson` than Spark. So, in the pom of this Spark application, we use the dependency management section to pin the version of `jackson`. By doing this, we are lifting `jackson` to the top-level dependency of my application and I want to have a way to keep tracking what Spark uses. What we can do is to cross-check my Spark application's classpath with what Spark uses. Then, with a test written in my code base, whenever my application bumps Spark version, this test will check what we define in the application and what Spark has, and then remind us to change our application's pom if needed. In my case, I am fine to directly access git to get these audit files.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Code changes are verified by generated dependency audit files naturally. Thus, there are no tests added.
Closes #27177 from mengCareers/depsOptimize.
Lead-authored-by: Xinrong Meng <meng.careers@gmail.com>
Co-authored-by: mengCareers <meng.careers@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2020-01-15 23:19:44 -05:00
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pyrolite/4.30//pyrolite-4.30.jar
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scala-collection-compat_2.12/2.1.1//scala-collection-compat_2.12-2.1.1.jar
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scala-compiler/2.12.10//scala-compiler-2.12.10.jar
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scala-library/2.12.10//scala-library-2.12.10.jar
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scala-parser-combinators_2.12/1.1.2//scala-parser-combinators_2.12-1.1.2.jar
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scala-reflect/2.12.10//scala-reflect-2.12.10.jar
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scala-xml_2.12/1.2.0//scala-xml_2.12-1.2.0.jar
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shapeless_2.12/2.3.3//shapeless_2.12-2.3.3.jar
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2020-07-25 13:58:25 -04:00
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shims/0.9.0//shims-0.9.0.jar
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2020-05-04 11:14:12 -04:00
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slf4j-api/1.7.30//slf4j-api-1.7.30.jar
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slf4j-log4j12/1.7.30//slf4j-log4j12-1.7.30.jar
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[SPARK-30491][INFRA] Enable dependency audit files to tell dependency classifier
### What changes were proposed in this pull request?
Enable dependency audit files to tell the value of artifact id, version, and classifier of a dependency.
For example, `avro-mapred-1.8.2-hadoop2.jar` should be expanded to `avro-mapred/1.8.2/hadoop2/avro-mapred-1.8.2-hadoop2.jar` where `avro-mapred` is the artifact id, `1.8.2` is the version, and `haddop2` is the classifier.
### Why are the changes needed?
Dependency audit files are expected to be consumed by automated tests or downstream tools.
However, current dependency audit files under `dev/deps` only show jar names. And there isn't a simple rule on how to parse the jar name to get the values of different fields. For example, `hadoop2` is the classifier of `avro-mapred-1.8.2-hadoop2.jar`, in contrast, `incubating` is the version of `htrace-core-3.1.0-incubating.jar`.
Reference: There is a good example of the downstream tool that would be enabled as yhuai suggested,
> Say we have a Spark application that depends on a third-party dependency `foo`, which pulls in `jackson` as a transient dependency. Unfortunately, `foo` depends on a different version of `jackson` than Spark. So, in the pom of this Spark application, we use the dependency management section to pin the version of `jackson`. By doing this, we are lifting `jackson` to the top-level dependency of my application and I want to have a way to keep tracking what Spark uses. What we can do is to cross-check my Spark application's classpath with what Spark uses. Then, with a test written in my code base, whenever my application bumps Spark version, this test will check what we define in the application and what Spark has, and then remind us to change our application's pom if needed. In my case, I am fine to directly access git to get these audit files.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Code changes are verified by generated dependency audit files naturally. Thus, there are no tests added.
Closes #27177 from mengCareers/depsOptimize.
Lead-authored-by: Xinrong Meng <meng.careers@gmail.com>
Co-authored-by: mengCareers <meng.careers@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2020-01-15 23:19:44 -05:00
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snakeyaml/1.24//snakeyaml-1.24.jar
|
2020-05-07 15:01:43 -04:00
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snappy-java/1.1.7.5//snappy-java-1.1.7.5.jar
|
[SPARK-30491][INFRA] Enable dependency audit files to tell dependency classifier
### What changes were proposed in this pull request?
Enable dependency audit files to tell the value of artifact id, version, and classifier of a dependency.
For example, `avro-mapred-1.8.2-hadoop2.jar` should be expanded to `avro-mapred/1.8.2/hadoop2/avro-mapred-1.8.2-hadoop2.jar` where `avro-mapred` is the artifact id, `1.8.2` is the version, and `haddop2` is the classifier.
### Why are the changes needed?
Dependency audit files are expected to be consumed by automated tests or downstream tools.
However, current dependency audit files under `dev/deps` only show jar names. And there isn't a simple rule on how to parse the jar name to get the values of different fields. For example, `hadoop2` is the classifier of `avro-mapred-1.8.2-hadoop2.jar`, in contrast, `incubating` is the version of `htrace-core-3.1.0-incubating.jar`.
Reference: There is a good example of the downstream tool that would be enabled as yhuai suggested,
> Say we have a Spark application that depends on a third-party dependency `foo`, which pulls in `jackson` as a transient dependency. Unfortunately, `foo` depends on a different version of `jackson` than Spark. So, in the pom of this Spark application, we use the dependency management section to pin the version of `jackson`. By doing this, we are lifting `jackson` to the top-level dependency of my application and I want to have a way to keep tracking what Spark uses. What we can do is to cross-check my Spark application's classpath with what Spark uses. Then, with a test written in my code base, whenever my application bumps Spark version, this test will check what we define in the application and what Spark has, and then remind us to change our application's pom if needed. In my case, I am fine to directly access git to get these audit files.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Code changes are verified by generated dependency audit files naturally. Thus, there are no tests added.
Closes #27177 from mengCareers/depsOptimize.
Lead-authored-by: Xinrong Meng <meng.careers@gmail.com>
Co-authored-by: mengCareers <meng.careers@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2020-01-15 23:19:44 -05:00
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spire-macros_2.12/0.17.0-M1//spire-macros_2.12-0.17.0-M1.jar
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spire-platform_2.12/0.17.0-M1//spire-platform_2.12-0.17.0-M1.jar
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spire-util_2.12/0.17.0-M1//spire-util_2.12-0.17.0-M1.jar
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spire_2.12/0.17.0-M1//spire_2.12-0.17.0-M1.jar
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stax-api/1.0-2//stax-api-1.0-2.jar
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stax-api/1.0.1//stax-api-1.0.1.jar
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stream/2.9.6//stream-2.9.6.jar
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super-csv/2.2.0//super-csv-2.2.0.jar
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2020-01-31 20:41:27 -05:00
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threeten-extra/1.5.0//threeten-extra-1.5.0.jar
|
[SPARK-30491][INFRA] Enable dependency audit files to tell dependency classifier
### What changes were proposed in this pull request?
Enable dependency audit files to tell the value of artifact id, version, and classifier of a dependency.
For example, `avro-mapred-1.8.2-hadoop2.jar` should be expanded to `avro-mapred/1.8.2/hadoop2/avro-mapred-1.8.2-hadoop2.jar` where `avro-mapred` is the artifact id, `1.8.2` is the version, and `haddop2` is the classifier.
### Why are the changes needed?
Dependency audit files are expected to be consumed by automated tests or downstream tools.
However, current dependency audit files under `dev/deps` only show jar names. And there isn't a simple rule on how to parse the jar name to get the values of different fields. For example, `hadoop2` is the classifier of `avro-mapred-1.8.2-hadoop2.jar`, in contrast, `incubating` is the version of `htrace-core-3.1.0-incubating.jar`.
Reference: There is a good example of the downstream tool that would be enabled as yhuai suggested,
> Say we have a Spark application that depends on a third-party dependency `foo`, which pulls in `jackson` as a transient dependency. Unfortunately, `foo` depends on a different version of `jackson` than Spark. So, in the pom of this Spark application, we use the dependency management section to pin the version of `jackson`. By doing this, we are lifting `jackson` to the top-level dependency of my application and I want to have a way to keep tracking what Spark uses. What we can do is to cross-check my Spark application's classpath with what Spark uses. Then, with a test written in my code base, whenever my application bumps Spark version, this test will check what we define in the application and what Spark has, and then remind us to change our application's pom if needed. In my case, I am fine to directly access git to get these audit files.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Code changes are verified by generated dependency audit files naturally. Thus, there are no tests added.
Closes #27177 from mengCareers/depsOptimize.
Lead-authored-by: Xinrong Meng <meng.careers@gmail.com>
Co-authored-by: mengCareers <meng.careers@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2020-01-15 23:19:44 -05:00
|
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transaction-api/1.1//transaction-api-1.1.jar
|
2020-08-25 11:25:58 -04:00
|
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univocity-parsers/2.9.0//univocity-parsers-2.9.0.jar
|
[SPARK-30491][INFRA] Enable dependency audit files to tell dependency classifier
### What changes were proposed in this pull request?
Enable dependency audit files to tell the value of artifact id, version, and classifier of a dependency.
For example, `avro-mapred-1.8.2-hadoop2.jar` should be expanded to `avro-mapred/1.8.2/hadoop2/avro-mapred-1.8.2-hadoop2.jar` where `avro-mapred` is the artifact id, `1.8.2` is the version, and `haddop2` is the classifier.
### Why are the changes needed?
Dependency audit files are expected to be consumed by automated tests or downstream tools.
However, current dependency audit files under `dev/deps` only show jar names. And there isn't a simple rule on how to parse the jar name to get the values of different fields. For example, `hadoop2` is the classifier of `avro-mapred-1.8.2-hadoop2.jar`, in contrast, `incubating` is the version of `htrace-core-3.1.0-incubating.jar`.
Reference: There is a good example of the downstream tool that would be enabled as yhuai suggested,
> Say we have a Spark application that depends on a third-party dependency `foo`, which pulls in `jackson` as a transient dependency. Unfortunately, `foo` depends on a different version of `jackson` than Spark. So, in the pom of this Spark application, we use the dependency management section to pin the version of `jackson`. By doing this, we are lifting `jackson` to the top-level dependency of my application and I want to have a way to keep tracking what Spark uses. What we can do is to cross-check my Spark application's classpath with what Spark uses. Then, with a test written in my code base, whenever my application bumps Spark version, this test will check what we define in the application and what Spark has, and then remind us to change our application's pom if needed. In my case, I am fine to directly access git to get these audit files.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Code changes are verified by generated dependency audit files naturally. Thus, there are no tests added.
Closes #27177 from mengCareers/depsOptimize.
Lead-authored-by: Xinrong Meng <meng.careers@gmail.com>
Co-authored-by: mengCareers <meng.careers@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2020-01-15 23:19:44 -05:00
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velocity/1.5//velocity-1.5.jar
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xbean-asm7-shaded/4.15//xbean-asm7-shaded-4.15.jar
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2020-03-03 10:27:18 -05:00
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xercesImpl/2.12.0//xercesImpl-2.12.0.jar
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2020-03-05 19:39:02 -05:00
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xml-apis/1.4.01//xml-apis-1.4.01.jar
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[SPARK-30491][INFRA] Enable dependency audit files to tell dependency classifier
### What changes were proposed in this pull request?
Enable dependency audit files to tell the value of artifact id, version, and classifier of a dependency.
For example, `avro-mapred-1.8.2-hadoop2.jar` should be expanded to `avro-mapred/1.8.2/hadoop2/avro-mapred-1.8.2-hadoop2.jar` where `avro-mapred` is the artifact id, `1.8.2` is the version, and `haddop2` is the classifier.
### Why are the changes needed?
Dependency audit files are expected to be consumed by automated tests or downstream tools.
However, current dependency audit files under `dev/deps` only show jar names. And there isn't a simple rule on how to parse the jar name to get the values of different fields. For example, `hadoop2` is the classifier of `avro-mapred-1.8.2-hadoop2.jar`, in contrast, `incubating` is the version of `htrace-core-3.1.0-incubating.jar`.
Reference: There is a good example of the downstream tool that would be enabled as yhuai suggested,
> Say we have a Spark application that depends on a third-party dependency `foo`, which pulls in `jackson` as a transient dependency. Unfortunately, `foo` depends on a different version of `jackson` than Spark. So, in the pom of this Spark application, we use the dependency management section to pin the version of `jackson`. By doing this, we are lifting `jackson` to the top-level dependency of my application and I want to have a way to keep tracking what Spark uses. What we can do is to cross-check my Spark application's classpath with what Spark uses. Then, with a test written in my code base, whenever my application bumps Spark version, this test will check what we define in the application and what Spark has, and then remind us to change our application's pom if needed. In my case, I am fine to directly access git to get these audit files.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Code changes are verified by generated dependency audit files naturally. Thus, there are no tests added.
Closes #27177 from mengCareers/depsOptimize.
Lead-authored-by: Xinrong Meng <meng.careers@gmail.com>
Co-authored-by: mengCareers <meng.careers@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2020-01-15 23:19:44 -05:00
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xmlenc/0.52//xmlenc-0.52.jar
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xz/1.5//xz-1.5.jar
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zjsonpatch/0.3.0//zjsonpatch-0.3.0.jar
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zookeeper/3.4.14//zookeeper-3.4.14.jar
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2020-07-11 11:45:48 -04:00
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zstd-jni/1.4.5-4//zstd-jni-1.4.5-4.jar
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