mirror of
https://github.com/apache/zeppelin
synced 2026-05-24 09:38:26 +00:00
208 lines
6.5 KiB
XML
208 lines
6.5 KiB
XML
<?xml version="1.0" encoding="UTF-8"?>
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<!--
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~ Licensed to the Apache Software Foundation (ASF) under one or more
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~ contributor license agreements. See the NOTICE file distributed with
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~ this work for additional information regarding copyright ownership.
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~ The ASF licenses this file to You under the Apache License, Version 2.0
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~ (the "License"); you may not use this file except in compliance with
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~ the License. You may obtain a copy of the License at
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~
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~ http://www.apache.org/licenses/LICENSE-2.0
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~
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~ Unless required by applicable law or agreed to in writing, software
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~ distributed under the License is distributed on an "AS IS" BASIS,
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~ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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~ See the License for the specific language governing permissions and
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~ limitations under the License.
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-->
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<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
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xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
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<modelVersion>4.0.0</modelVersion>
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<parent>
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<artifactId>zeppelin-interpreter-parent</artifactId>
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<groupId>org.apache.zeppelin</groupId>
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<version>0.9.0-SNAPSHOT</version>
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<relativePath>../zeppelin-interpreter-parent/pom.xml</relativePath>
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</parent>
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<groupId>org.apache.zeppelin</groupId>
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<artifactId>zeppelin-python</artifactId>
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<packaging>jar</packaging>
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<version>0.9.0-SNAPSHOT</version>
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<name>Zeppelin: Python interpreter</name>
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<properties>
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<interpreter.name>python</interpreter.name>
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<python.py4j.version>0.10.7</python.py4j.version>
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<grpc.version>1.15.0</grpc.version>
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<interpreter.jar.name>python-interpreter-with-py4j</interpreter.jar.name>
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</properties>
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<dependencies>
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<dependency>
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<groupId>org.apache.zeppelin</groupId>
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<artifactId>zeppelin-jupyter-interpreter</artifactId>
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<version>${project.version}</version>
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</dependency>
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<dependency>
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<groupId>org.apache.commons</groupId>
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<artifactId>commons-exec</artifactId>
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<version>1.3</version>
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</dependency>
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<dependency>
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<groupId>net.sf.py4j</groupId>
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<artifactId>py4j</artifactId>
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<version>${python.py4j.version}</version>
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</dependency>
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<dependency>
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<groupId>io.grpc</groupId>
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<artifactId>grpc-netty</artifactId>
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<version>${grpc.version}</version>
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</dependency>
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<dependency>
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<groupId>io.grpc</groupId>
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<artifactId>grpc-protobuf</artifactId>
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<version>${grpc.version}</version>
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</dependency>
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<dependency>
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<groupId>io.grpc</groupId>
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<artifactId>grpc-stub</artifactId>
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<version>${grpc.version}</version>
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</dependency>
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<dependency>
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<groupId>commons-lang</groupId>
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<artifactId>commons-lang</artifactId>
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</dependency>
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<dependency>
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<groupId>commons-io</groupId>
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<artifactId>commons-io</artifactId>
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</dependency>
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<dependency>
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<groupId>commons-codec</groupId>
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<artifactId>commons-codec</artifactId>
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</dependency>
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<!-- test libraries -->
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<dependency>
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<groupId>org.mockito</groupId>
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<artifactId>mockito-all</artifactId>
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<scope>test</scope>
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</dependency>
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<dependency>
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<groupId>net.jodah</groupId>
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<artifactId>concurrentunit</artifactId>
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<version>0.4.4</version>
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<scope>test</scope>
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</dependency>
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</dependencies>
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<build>
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<extensions>
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<extension>
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<groupId>kr.motd.maven</groupId>
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<artifactId>os-maven-plugin</artifactId>
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<version>1.4.1.Final</version>
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</extension>
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</extensions>
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<plugins>
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<plugin>
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<artifactId>maven-antrun-plugin</artifactId>
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<version>1.7</version>
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<executions>
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<execution>
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<phase>package</phase>
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<goals>
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<goal>run</goal>
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</goals>
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</execution>
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</executions>
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</plugin>
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<!-- publish test jar as well so that spark module can use it -->
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<plugin>
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<groupId>org.apache.maven.plugins</groupId>
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<artifactId>maven-jar-plugin</artifactId>
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<version>3.0.2</version>
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<executions>
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<execution>
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<goals>
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<goal>test-jar</goal>
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</goals>
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</execution>
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</executions>
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</plugin>
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<plugin>
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<groupId>org.apache.maven.plugins</groupId>
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<artifactId>maven-surefire-plugin</artifactId>
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</plugin>
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<plugin>
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<artifactId>maven-enforcer-plugin</artifactId>
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</plugin>
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<plugin>
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<artifactId>maven-resources-plugin</artifactId>
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</plugin>
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<!--
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shade for python interpreter is different from other interpreter, it depends on zeppelin-interpreter instead of
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zeppelin-interpreter-api. Because spark interpreter depends on python interpreter and spark's py4j conflict with python interpreter's py4j.
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python interpreter would generate 2 versions of jars, one is shaded jar which is used for running python interpreter, another is normal jar
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which is used by spark interpreter as dependency.
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-->
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<plugin>
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<groupId>org.apache.maven.plugins</groupId>
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<artifactId>maven-shade-plugin</artifactId>
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<version>${plugin.shade.version}</version>
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<configuration>
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<filters>
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<filter>
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<artifact>*:*</artifact>
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</filter>
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</filters>
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<transformers>
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<transformer implementation="org.apache.maven.plugins.shade.resource.ServicesResourceTransformer" />
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<transformer implementation="org.apache.maven.plugins.shade.resource.AppendingTransformer">
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<resource>reference.conf</resource>
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</transformer>
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</transformers>
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<artifactSet>
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<excludes>
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<exclude>org.apache.zeppelin:zeppelin-interpreter-api</exclude>
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</excludes>
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</artifactSet>
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<outputFile>${project.build.directory}/../../interpreter/python/${interpreter.jar.name}-${project.version}.jar</outputFile>
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</configuration>
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<executions>
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<execution>
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<phase>package</phase>
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<goals>
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<goal>shade</goal>
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</goals>
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</execution>
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</executions>
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</plugin>
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<plugin>
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<groupId>org.apache.maven.plugins</groupId>
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<artifactId>maven-checkstyle-plugin</artifactId>
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<configuration>
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<skip>false</skip>
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</configuration>
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</plugin>
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</plugins>
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</build>
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</project>
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