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表1 Spark 3.3.1版本优势 特性 说明 Native性能加速 Spark查询语句性能提升。 元数据访问性能提升 提升Spark在处理大数据时的元数据访问性能,提高数据处理流程效率。
testDB.testTable2( id int, age int, money double ) LOCATION 'obs://bucketName/filePath' partitioned by (dt string) row format delimited fields terminated
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If there are a large number of jobs, you must use the pagination query method in this example to query jobs in batches.
{ // 从远程存储复制文件到本地的操作 byte[] fileContent = Files.readAllBytes(Paths.get(sourcePath)); Files.write(Paths.get(destinationPath
If there are a large number of jobs, you must use the following pagination query method to query jobs in batches.
1.00,2.89,3.33,4.56,5.87,15.44,20.78,30.77]) from (values (3),(4)) as t(x); _col0 ------- 2 3 (2 rows) quotient(BIGINT numerator, BIGINT denominator
ERROR com.huaweicloud.dis.adapter.common.consumer.Coordinator [] - Failed to getCheckpointAsync, error : [400 : {"errorCode":"DIS.4332",