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When doing compaction, to see the compaction progress details, you can add a suffix to the log file name. E.g. if your log file is named hbase.log, you can add a suffix of -v1 to the name to get the output in a more verbose mode.
The default value for the log file name is not suitable for large number of replication servers. So, it can be changed by tuning the rs.tblcompaction.log.name. However, note that it can take a substantial amount of space for the extra name that it adds, so it is recommended that you have enough disk space for the new log file.
If you are using HBase to query a table, and it takes a long time to get results (such as for a table scan), you can improve the speed of the query by compressing the StoreFiles for the table. This is done by setting the gc.max-filesize in the hbase-site.xml file. This value also needs to be set in the HBase RAM constants file. When HBase computes a filter expression, such as a WHERE clause, the HBase filter computes the range of all relevant keys in the StoreFiles. When using HBase to query a table, you can specify the maximum number of files (in StoreFiles) which HBase will check when computing the range for the filter. This setting improves the speed of the query. If you know that the where clause has only one or a few key fields, you can precompute the range of all relevant keys in the StoreFiles. By default, a table with 1500 million rows has a default maximum StoreFiles of 10 (around 50 GB). You can experiment with the value and see if it improves your queries. Consider reducing the value if it starts to slow down. However, such compaction only speeds up the range computation when there is a WHERE clause.
The tests should not write failures in the log because the only way is to write a test that is wrong, and it becomes difficult to attempt to implement. When running your tests, you can run the HBase Maven command line with the parameter ‘failonerror’ set to true (generally this is because you want to check your own code and not to report errors from other non-test code). The other option is to set an environment variable at run time, for example ‘RSFileRepairTest.failonerror=true’. The parameter’sort’ controls what fields HBase will sort by when it attempts to reorder records, which may be convenient in running some tests.
The end result of a test is how the files and data are partitioned. The easiest way to find the details is to read the hbases output file. It contains the same information as the hbase shell. For the user who has been run the test, each file in the directory “target/surefire-reports” is the output file from the test. For example, looking at this log line: 2012-02-21 11:29:29,434 [main] INFO org.apache.hadoop.hbase.HBaseTestingUtility – scanning memstore … we see that this test just writes to the single store file specified in the configuration: target/surefire-reports/org.apache.hadoop.hbase.regionserver.HRegionerStoreTest#scanMemStore(org.apache.hadoop.hbase.regionserver.HRegionerStoreTest).storeFile This file is a symbolic link to the half:
The test will be successful if each of the files in target/surefire-reports/ contain only the name of the storeFile parameter. Note the use of “.tr” as end of filename, which tells HBase to sort this file in the middle rather than the end. This way, HBase sorts the final data file in a manner that respects the order in which the data was originally inserted, rather than in the order that was logged by the test.
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