RegionStates#getAssignmentsForBalancer is used by the HMaster to
collect all regions of interest to the balancer for the next chore
iteration. We check if a table is in disabled state to exclude
regions that will not be of interest (because disabled regions are
or will be offline) or are in a state where they shouldn't be
mutated (like SPLITTING). The current checks are not actually
comprehensive.
Filter out regions not in OPEN or OPENING state when building the
set of interesting regions for the balancer to consider. Only
regions open (or opening) on the cluster are of interest to
balancing calculations for the current iteration. Regions in all
other states can be expected to not be of interest – either offline
(OFFLINE, or FAILED_*), not subject to balancer decisions now
(SPLITTING, SPLITTING_NEW, MERGING, MERGING_NEW), or will be
offline shortly (CLOSING) – until at least the next chore
iteration.
Add TRACE level logging.
Signed-off-by: Bharath Vissapragada <bharathv@apache.org>
Signed-off-by: Duo Zhang <zhangduo@apache.org>
Signed-off-by: Viraj Jasani <vjasani@apache.org>
We claim in a WARN level log line to be "Playing-it-safe skipping merge/
split gc'ing of regions from hbase:meta while regions-in-transition (RIT)"
but do not actually skip because of a missing return. Remove the warning.
Signed-off-by: Duo Zhang <zhangduo@apache.org>
* HBASE-25824 IntegrationTestLoadCommonCrawl
This integration test loads successful resource retrieval records from
the Common Crawl (https://commoncrawl.org/) public dataset into an HBase
table and writes records that can be used to later verify the presence
and integrity of those records.
Run like:
./bin/hbase org.apache.hadoop.hbase.test.IntegrationTestLoadCommonCrawl \
-Dfs.s3n.awsAccessKeyId=<AWS access key> \
-Dfs.s3n.awsSecretAccessKey=<AWS secret key> \
/path/to/test-CC-MAIN-2021-10-warc.paths.gz \
/path/to/tmp/warc-loader-output
Access to the Common Crawl dataset in S3 is made available to anyone by
Amazon AWS, but Hadoop's S3N filesystem still requires valid access
credentials to initialize.
The input path can either specify a directory or a file. The file may
optionally be compressed with gzip. If a directory, the loader expects
the directory to contain one or more WARC files from the Common Crawl
dataset. If a file, the loader expects a list of Hadoop S3N URIs which
point to S3 locations for one or more WARC files from the Common Crawl
dataset, one URI per line. Lines should be terminated with the UNIX line
terminator.
Included in hbase-it/src/test/resources/CC-MAIN-2021-10-warc.paths.gz
is a list of all WARC files comprising the Q1 2021 crawl archive. There
are 64,000 WARC files in this data set, each containing ~1GB of gzipped
data. The WARC files contain several record types, such as metadata,
request, and response, but we only load the response record types. If
the HBase table schema does not specify compression (by default) there
is roughly a 10x expansion. Loading the full crawl archive results in a
table approximately 640 TB in size.
The hadoop-aws jar will be needed at runtime to instantiate the S3N
filesystem. Use the -files ToolRunner argument to add it.
You can also split the Loader and Verify stages:
Load with:
./bin/hbase 'org.apache.hadoop.hbase.test.IntegrationTestLoadCommonCrawl$Loader' \
-files /path/to/hadoop-aws.jar \
-Dfs.s3n.awsAccessKeyId=<AWS access key> \
-Dfs.s3n.awsSecretAccessKey=<AWS secret key> \
/path/to/test-CC-MAIN-2021-10-warc.paths.gz \
/path/to/tmp/warc-loader-output
Verify with:
./bin/hbase 'org.apache.hadoop.hbase.test.IntegrationTestLoadCommonCrawl$Verify' \
/path/to/tmp/warc-loader-output
Signed-off-by: Michael Stack <stack@apache.org>
Minor refactor. Make the `compactSplitThread` member field of `HRegionServer` private, and gate
all access through the getter method.
Signed-off-by: Yulin Niu <niuyulin@apache.org>
Signed-off-by: Pankaj Kumar <pankajkumar@apache.org>
Need to add to allowed-licenses list too....
Signed-off-by: Wei-Chiu Chuang <weichiu@apache.org>
Reviewed-by: Duo Zhang <zhangduo@apache.org>
Reviewed-by: Nick Dimiduk <ndimiduk@apache.org>
Andrew Purtell
Duo Zhang
GeorryHuang
Che Xun
Kota-SH
Nick Dimiduk
Michael Stack
haxiaolin
Toshihiro Suzuki
Baiqiang Zhao
Peter Somogyi
niuyulin
Nick Dimiduk
Guanghao Zhang
clarax
xiaoyu
ZhiChen