Flink的序列化与flink-hadoop-compatibility 最近 用户提交了一个问题 说他的jar包里明明包含相关的类型 但是在提交Flink作业的时候 却报出classnotfound的错误 查看之后发现 这里是flink的一个没有说的太明白的地方 用户的代码之所以报错 是因为在代码中引用了mapreduce相关的东西 我们知道 flink会在生成jobGraph的时候...
that the program uses Flink’sgroupBy()transformation to group data on the key field (field 0 of theTuple2<key, value>) before it is given to the Reducer function. At the moment, the compatibility package does not evaluate custom Hadoop partitioners, sorting comparators, or grouping ...
Hadoop Compatibility | Apache Flink elasticsearch-hadoop/Elasticsearch for Apache Hadoop Install mvn package -Dmaven.test.skip=true cp target/target/flink-connector-elasticsearch-hadoop-1.0.jar /opt/flink/lib/ Use CREATETABLEflink_es_table( _metadata ROW<_index STRING,_type STRING,_id STRING>) WIT...
mapred和mapreduce 的api代码分别在org.apache.flink.api.java.hadoop和org.apache.flink.api.scala.hadoop以及一个额外的子包中。对Hadoop MapReduce的支持是在flink-hadoop-compatibility的maven模块中。代码具体在org.apache.flink.hadoopcompatibility包中。
*/packageorg.apache.flink.hadoopcompatibility.mapreduce;importjava.io.IOException;importjava.io.ObjectInputStream;importjava.io.ObjectOutputStream;importjava.util.regex.Matcher;importjava.util.regex.Pattern;importorg.apache.flink.api.common.io.OutputFormat;importorg.apache.flink.api.java.tuple.Tuple2;...