Comments (4)
Are we increasing the Mapper's input size to 1GB or HDFS block size?
I would assume the task is to increase only Mapper's input, please correct me if I am wrong
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The intention is to increase HDFS block size only, and retain the current mapper input size. It was suggested that HDFS block size should be bigger to reduce hadoop/hbase overhead. The mapper input size should not be affected, which "mapred.max.split.size" come into play.
We need some in house test after the change to confirm the benefit.
from kylin.
Is this where you intend to change the block size?: https://github.com/abansal/Kylin/blob/master/job/src/main/java/com/kylinolap/job/hadoop/cardinality/HiveColumnCardinalityJob.java#L141-141
from kylin.
Hi Ankur
The goal of this is to control the cube data files, which is the output of cube build jobs.
Check out this file: https://github.com/KylinOLAP/Kylin/blob/master/examples/test_case_data/hadoop_job_conf.xml
It is applied to all cube build jobs via com.kylinolap.job.JobInstanceBuilder.appendMapReduceParameters(). Try search where this method is called. You will find how a chain of jobs are created to complete a cube build.
Setting "dfs.block.size" and "mapred.max.split.size" in the hadoop_job_conf.xml shall do the trick.
We can do testing in eBay's hadoop cluster once you are familiar with the code around the job engine.
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