ServletOutputStream out = response.getOutputStream(); // 表格对象注入Stream流中 try { logger.info("一次性写入文件..."); workbook.write(out); // 同一时刻workbook只有100行数据在内存,超过就将旧的写到磁盘里减少内存占用 out.flush(); // 强制清空缓存 logger.info("after write excel file..." ...
sql.AnalysisException: Cannot write incompatible data to table 'hudidb.store_returns_hudi_4': - Cannot write nullable values to non-null column 'sr_returned_date_sk' at org.apache.spark.sql.hive.thriftserver.HiveThriftServerErrors$.runningQueryError(HiveThriftServerErrors.scala:43) at org....
19、Exception in thread "main"org.apache.hadoop.security.AccessControlException: Permission denied: user=Administrator, access=WRITE, inode="/data":bdata:supergroup:drwxr-xr-x 20、运行Spark-SQL报错:org.apache.spark.sql.AnalysisException: unresolved operator 'Project‘ 21、org.apache.spark.shuffle.Met...
根据报错信息,提示Parquet数据源不支持null type类型的数据。既然是保存数据,我们很容易联想到FileFormatWriter,再结合错误信息: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:100 对应的源码为: 代码语言:javascript 代...
/org/slf4j/impl/StaticLoggerBinder.class]”来判断hive有没有绑定sparkkafka的comsumer groupID对于spark direct streaming无效shuffle write就是在一个stage结束计算之后,为了下一个stage可以执行shuffle类的算子,而将每个task处理的数据按key进行分类,将相同key都写入同一个磁盘文件中,而每一个磁盘文件都只属于下游...
2023-01-06 15:47:15,379 | WARN | [task-result-getter-0] | Lost task 2.1 in stage 1544.0 (TID 1704,ZNFWZX-nodeHPgV0001.mrs-fzqf.com, executor 2): java.lang.NullPointerException at org.apache.spark.sql.catalyst.expressions.codegen.UnsafeWriter.write(UnsafeWriter.java:109) ...
773 Stage-0 map = 100%, reduce = 0%, Cumulative CPU 6.65sec13MapReduce Total cumulative CPU time: 6 seconds 650msec14Ended Job =job_1519375199907_25853315MapReduce Jobs Launched:16Stage-Stage-0: Map: 1 Cumulative CPU: 6.65 sec HDFS Read: 7381 HDFS Write: 0SUCCESS17Total MapReduce CPU ...
driven process, a Spark Stream batches input data into time windows. Such as a 2-second slice, and then transforms each batch of data using map, reduce, join, and extract operations. The Spark Stream then writes the transformed data out to filesystems, databases, dashboards, and the ...
将块大小增大至最大 100 MB。 在 Ambari UI 中,修改 HDFS 配置属性fs.azure.write.request.size(或者在Custom core-site节中创建该配置)。 将该属性设置为更大的值,例如:33554432。 保存更新的配置并重启受影响的组件。 定期停止并重新提交 Spark 流作业。
启动WAL预写日志,实现RDD高可用 spark.streaming.receiver.writeAheadLog.enable truespark streaming,从原理上来说,是通过receiver来进行数据接收的;接收到的数据,会被划分成一个一个的block;block会被组合成一个batch;针对一个batch,会创建一个rdd;启动一个job来执行我们定义的算子操作。 receiver主要接收到数...