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https://issues.apache.org/jira/browse/HBASE-20618?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Swapna updated HBASE-20618:
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Status: Open (was: Patch Available)
> Skip large rows instead of throwing an exception to client
> ----------------------------------------------------------
>
> Key: HBASE-20618
> URL: https://issues.apache.org/jira/browse/HBASE-20618
> Project: HBase
> Issue Type: New Feature
> Affects Versions: 1.0.0
> Reporter: Swapna
> Priority: Minor
> Attachments: HBASE-20618.hbasemaster.v01.patch,
> HBASE-20618.hbasemaster.v02.patch, HBASE-20618.v1.branch-1.patch
>
>
> Currently HBase supports throwing RowTooBigException incase there is a row
> with one of the column family data exceeds the configured maximum
> https://issues.apache.org/jira/browse/HBASE-10925?attachmentOrder=desc
> We have some bad rows growing very large. We need a way to skip these rows
> for most of our jobs.
> Some of the options we considered:
> Option 1:
> Hbase client handle the exception and restart the scanner past bad row by
> capturing the row key where it failed. Can be by adding the rowkey to the
> exception stack trace, which seems brittle. Client would ignore the setting
> if its upgraded before server.
> Option 2:
> Skip through big rows on Server.Go with server level config similar to
> "hbase.table.max.rowsize" or request based by changing the scan request api.
> If allowed to do per request, based on the scan request config, Client will
> have to ignore the setting if its upgraded before server.
> {code}
> try {
> populateResult(results, this.storeHeap, scannerContext, current);
> } catch(RowTooBigException e) {
> LOG.info("Row exceeded the limit in storeheap. Skipping row with
> key:"+Bytes.toString(current.getRowArray()));
> this.storeHeap.reseek(PrivateCellUtil.createLastOnRow(current));
> results.clear();
> scannerContext.clearProgress();
> continue;
> }
> {code}
> Prefer the option 2 with server level config. Please share your inputs
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