Managing Chunk Size

Describes the considerations for managing the chunk size for map tasks.

Files in the HPE Ezmeral Data Fabric filesystem are split into chunks (similar to Hadoop blocks) that are normally 256 MB by default. Any multiple of 65,536 bytes is a valid chunk size, but tuning the size correctly is important:

  • Smaller chunk sizes result in larger numbers of map tasks, which can result in lower performance due to task scheduling overhead.
  • Larger chunk sizes require more memory to sort the map task output, which can crash the JVM or add significant garbage collection overhead. HPE Ezmeral Data Fabric can deliver a single stream at upwards of 300 MB per second, making it possible to use larger chunks than in the stock Hadoop implementation. Generally, it is wise to set the chunk size between 64 MB and 256 MB.

Chunk size is set at the directory level. Files inherit the chunk size settings of the directory that contains them, as do subdirectories on which chunk size has not been explicitly set. Any files written by a Hadoop application, whether using the file APIs or over NFS for the HPE Ezmeral Data Fabric, use chunk size specified by the settings for the directory where the file is written. If you change a directory's chunk size settings after writing a file, the file will keep the old chunk size settings. Further writes to the file will use the file's current chunk size.

NOTE If chunk size is zero (0), when an application makes a request for block size, HPE Ezmeral Data Fabric will return 1073741824 (1GB); however, hadoop mfs commands will continue to display 0 for chunk size.

Configuring Chunk Size

Chunk size also affects parallel processing and random disk I/O during MapReduce applications. A higher chunk size means less parallel processing because there are fewer map inputs, and therefore fewer mappers. A lower chunk size improves parallelism, but results in higher random disk I/O during shuffle because there are more map outputs. Set the io.sort.mb parameter to a value between 120% and 150% of the chunk size.

Here are the general guidelines for chunk size:
  • For most purposes, set the chunk size to the default 256 MB and set the value of the io.sort.mb parameter to the default 380 MB.
  • On very small clusters or nodes with not much RAM, set the chunk size to 128 MB and set the value of the io.sort.mb parameter to 190 MB.
  • If application-level compression is in use, the io.sort.mb parameter should be at least 380 MB.
NOTE If you have Drill running in the cluster, change the store.parquet.block-size parameter in Drill so that the Parquet block size is the same as the chunk size in the HPE Ezmeral Data Fabric filesystem. See Configuring the Parquet Block Size for more information.

Setting Chunk Size

You can set the chunk size for a given directory in two ways:

  • Change the ChunkSize attribute in the .dfs_attributes file at the top level of the directory
  • Use the command hadoop mfs -setchunksize <size> <directory>

For example, if the volume test is NFS-mounted at /mapr/ you can set the chunk size to 268,435,456 bytes by editing the file /mapr/ and setting ChunkSize=268435456. To accomplish the same thing from the hadoop shell, use the following command:

hadoop mfs -setchunksize 268435456 /mapr/