flink1.12连接hive修改并行度

在HiveTableSource 中. getDataStream 方法:

		int parallelism = 0;
			int splitNum = new HiveParallelismInference(tablePath, flinkConf)
				.infer(
					() -> HiveSourceFileEnumerator.getNumFiles(allHivePartitions, jobConf),
					() -> HiveSourceFileEnumerator.createInputSplits(0, allHivePartitions, jobConf).size())
				.limit(limit);
			// sql-client-defaults.yaml  max-parallelism: 30
			int max = flinkConf.get(HiveOptions.TABLE_EXEC_HIVE_INFER_SOURCE_PARALLELISM_MAX);
			// 传进来的参数
			// sql-client-defaults.yaml  中的 parallelism: 20
			int hiveParallelism = source.getExecutionConfig().getParallelism();
			parallelism = Math.min(splitNum, max);
			parallelism = Math.min(parallelism, hiveParallelism);
			return source.setParallelism(parallelism);

下载 flink1.12 版本的源码.

用idea打开, 修改后打包flink-connector-hive_2.11 module即可. 上传jar包.