vinothchandar commented on code in PR #843: URL: https://github.com/apache/incubator-xtable/pull/843#discussion_r3618354920
########## xtable-spark-runtime/pom.xml: ########## @@ -0,0 +1,382 @@ +<?xml version="1.0" encoding="UTF-8"?> +<!-- + ~ Licensed to the Apache Software Foundation (ASF) under one or more + ~ contributor license agreements. See the NOTICE file distributed with + ~ this work for additional information regarding copyright ownership. + ~ The ASF licenses this file to You under the Apache License, Version 2.0 + ~ (the "License"); you may not use this file except in compliance with + ~ the License. You may obtain a copy of the License at + ~ + ~ http://www.apache.org/licenses/LICENSE-2.0 + ~ + ~ Unless required by applicable law or agreed to in writing, software + ~ distributed under the License is distributed on an "AS IS" BASIS, + ~ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + ~ See the License for the specific language governing permissions and + ~ limitations under the License. +--> +<project xmlns="http://maven.apache.org/POM/4.0.0"; + xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"; + xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd";> + <modelVersion>4.0.0</modelVersion> + + <parent> + <groupId>org.apache.xtable</groupId> + <artifactId>xtable</artifactId> + <version>0.2.0-SNAPSHOT</version> + </parent> + + <artifactId>xtable-spark-runtime_${scala.binary.version}</artifactId> + <name>XTable Project Spark Runtime</name> + <description> + Thin, relocated, drop-in Spark bundle that runs incremental XTable metadata sync. v1 ships + the standalone spark-submit entry point (XTableSparkSync); the config-only, driver-side + QueryExecutionListener on-ramp is a planned follow-up (see rfc/rfc-3). + </description> + + <dependencies> + <!-- XTable engine (bundled) --> + <dependency> + <groupId>org.apache.xtable</groupId> + <artifactId>xtable-core_${scala.binary.version}</artifactId> + <version>${project.version}</version> + </dependency> + + <!-- Command-line parsing for the standalone XTableSparkSync entry point (bundled). --> + <dependency> + <groupId>commons-cli</groupId> + <artifactId>commons-cli</artifactId> + </dependency> + + <!-- Logging API (lombok @Log4j2); provided by the cluster runtime --> + <dependency> + <groupId>org.apache.logging.log4j</groupId> + <artifactId>log4j-api</artifactId> + <scope>provided</scope> + </dependency> + + <!-- Spark: provided by the cluster. Brings QueryExecutionListener, QueryExecution, + Catalyst LogicalPlan, and SparkSession. --> + <dependency> + <groupId>org.apache.spark</groupId> + <artifactId>spark-sql_${scala.binary.version}</artifactId> + <scope>provided</scope> + </dependency> + + <!-- Hadoop: provided by the cluster. --> + <dependency> + <groupId>org.apache.hadoop</groupId> + <artifactId>hadoop-common</artifactId> + <scope>provided</scope> + </dependency> + + <!-- + Engine libraries (Hudi / Iceberg / Delta) are provided, not bundled: the user brings their + own engine version and the thin bundle stays compatible across versions (see the shade + plugin below). Hudi is supplied as the hudi-spark bundle, whose regenerated DecimalWrapper + links cleanly on Avro >=1.10; raw hudi-common's Avro-1.8/1.9-generated model classes + reference org.apache.avro.data.TimeConversions.TimeConversion, removed in Avro 1.10 and thus + absent from the Avro 1.12 that Iceberg 1.9.2 requires. + --> + <dependency> + <groupId>org.apache.hudi</groupId> + <artifactId>hudi-spark${spark.version.prefix}-bundle_${scala.binary.version}</artifactId> + <scope>provided</scope> + </dependency> + <!-- + XTable's Hudi TARGET writes via the Java client (HoodieJavaEngineContext), which the Spark Review Comment: this will be really good to do. since quickstart won't involve a local build. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
