def reduce_mem_usage(df):"""iterate through all the columns of a dataframe and modify the data typeto reduce memory usage."""start_mem =df.memory_usage().sum() print('Memory usage of dataframe is {:.2f} MB'.format(start_mem))forcolindf.columns: col_type=df[col].dtypeifcol_type ...
The code above returns old frames (from seconds to minutes ago) if the consumer can't keep up with it. I know that one solution from a generic Python perspective would be to have some kind of buffer (that replaces the queue) that always keeps in memory the last frame by discarding the...
hduser_@andrew-PC:/home/andrew/code/HadoopWithPython/python/MapReduce/HadoopStreaming$ $HADOOP_HOME/bin/hadoop jar $HADOOP_HOME/share/hadoop/tools/lib/hadoop-streaming-2.9.2.jar -files mapper.py,reducer.py -mapper mapper.py -reducer reducer.py -input /user/hduser/input2.txt -output /user/...
As per title, reducing register usage for better occupancy. Changes are: use 32bit indexing if possible convert some arguments of fused adam(w) functor to its template parameters give const to some arguments Tables below are before/after of adamw for s
这里我们创建一个mapper.py脚本,从标准输入(stdin)读取数据,默认以空格分隔单词,然后按行输出单词机器词频到标准输出(stdout),整个Map处理过程不会统计每个单词出现的总次数,而是直接输出“word 1”,以便作为Reduce的输入进行统计,要求mapper.py具备可执行权限,执行chmod +x /usr/local/python/source/mapper.py。
Merged Map outputs=2GC time elapsed (ms)=421CPU time spent (ms)=2890Physical memory (bytes) snapshot=709611520Virtual memory (bytes) snapshot=5725220864Total committed heap usage (bytes)=487063552Shuffle Errors BAD_ID=0 CONNECTION=0 IO_ERROR=0 ...
,"FinalStatus":"UNDEFINED","AvgMergeTime":0,"Id":"application_1686105960659_0022","QueueUsagePercentage":0,"SuccessfulMapAttempts":0},{"MemorySeconds":4415161,"NumAMContainerPreempted":0,"HDFSBytesWritten":0,"MapOutputRecords":0,"State":"","FailedReduceAttempts":0,"ApplicationType":"TEZ","...
resource usage and the job records of Hadoop and Spark. To use these functions, the users must obtain the relevant permissions from the MRS Manager administrator. cluster_admin_sec Yes String Password of the MRS Manager ret administrator. ● Must contain 8 to 32 ...
执行Python脚本 针对Spark2,对应内容如下。 spark-submit --jars /opt/apps/SPARK-EXTENSION/spark-extension-current/spark2-emrsdk/emr-datasources_shaded_2.11-2.3.1.jar --master local loghub.py 针对Spark3,对应内容如下。 spark-submit --jars /opt/apps/SPARK-EXTENSION/spark-extension-current/spark3-...
Scala object TestBatchLoghub { def main(args: Array[String]): Unit = { if (args.length < 6) { System.err.println( """Usage: TestBatchLoghub <sls project> <sls logstore> <sls endpoint> | <access key id> <access key secret> <start time> <end time=now> """.stripMargin) System...