[jira] [Updated] (HBASE-18517) limit max log message width in log4j
[ https://issues.apache.org/jira/browse/HBASE-18517?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] stack updated HBASE-18517: -- Fix Version/s: 2.0.0 > limit max log message width in log4j > > > Key: HBASE-18517 > URL: https://issues.apache.org/jira/browse/HBASE-18517 > Project: HBase > Issue Type: Bug >Affects Versions: 1.5.0, 2.0.0-alpha-2 >Reporter: Vikas Vishwakarma >Assignee: Vikas Vishwakarma >Priority: Major > Fix For: 1.5.0, 2.0.0-alpha-2, 2.0.0 > > Attachments: HBASE-18517.branch-1.001.patch, > HBASE-18517.master.001.patch > > > We had two cases now in our prod / pilot setups which is leading to humongous > log lines in RegionServer logs. > In first case, one of the phoenix user had constructed a query with a really > large list of Id filters (61 MB) that translated into HBase scan that was > running slow which lead to responseTooSlow messages in the logs with the > entire filter list being printed in the logs, example > ipc.RpcServer - (responseTooSlow): > {"call":"Scan(org.apache.hadoop.hbase.protobuf.generated.ClientProtos$ScanRequest)","starttimems":1501457864417,"responsesize":11,"method":"Scan","param":"region > { type: REGION_NAME value: . > org.apache.hadoop.hbase.filter.FirstKeyOnlyFilter\\022\351\\200\\036\\n(org.apache.phoenix.filter.SkipScanFilter > ... ... > There was another case where a use case had created a table with really large > key/region names. This was causing humongous log lines for flush and > compaction on these regions filling up the RS logs > These large logs usually cause issues with disk I/O load, loading the splunk > servers, even machine perf degradations. With 61 MB log lines basic log > processing commands like vim, scrolling the logs, wc -l , etc were getting > stuck. High GC activity was also noted on this cluster although not 100% sure > if it was related to above issue. > We should consider limiting the message size in logs which can be easily done > by adding a maximum width format modifier on the message conversion character > in log4j.properties > log4j.appender.console.layout.ConversionPattern=...: %m%n > to > log4j.appender.console.layout.ConversionPattern=...: %.1m%n -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (HBASE-18517) limit max log message width in log4j
[ https://issues.apache.org/jira/browse/HBASE-18517?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] stack updated HBASE-18517: -- Release Note: Sets a log length max of 1000 characters. (was: Sets a log length max of 1k.) > limit max log message width in log4j > > > Key: HBASE-18517 > URL: https://issues.apache.org/jira/browse/HBASE-18517 > Project: HBase > Issue Type: Bug >Affects Versions: 1.5.0, 2.0.0-alpha-2 >Reporter: Vikas Vishwakarma >Assignee: Vikas Vishwakarma > Fix For: 1.5.0, 2.0.0-alpha-2 > > Attachments: HBASE-18517.branch-1.001.patch, > HBASE-18517.master.001.patch > > > We had two cases now in our prod / pilot setups which is leading to humongous > log lines in RegionServer logs. > In first case, one of the phoenix user had constructed a query with a really > large list of Id filters (61 MB) that translated into HBase scan that was > running slow which lead to responseTooSlow messages in the logs with the > entire filter list being printed in the logs, example > ipc.RpcServer - (responseTooSlow): > {"call":"Scan(org.apache.hadoop.hbase.protobuf.generated.ClientProtos$ScanRequest)","starttimems":1501457864417,"responsesize":11,"method":"Scan","param":"region > { type: REGION_NAME value: . > org.apache.hadoop.hbase.filter.FirstKeyOnlyFilter\\022\351\\200\\036\\n(org.apache.phoenix.filter.SkipScanFilter > ... ... > There was another case where a use case had created a table with really large > key/region names. This was causing humongous log lines for flush and > compaction on these regions filling up the RS logs > These large logs usually cause issues with disk I/O load, loading the splunk > servers, even machine perf degradations. With 61 MB log lines basic log > processing commands like vim, scrolling the logs, wc -l , etc were getting > stuck. High GC activity was also noted on this cluster although not 100% sure > if it was related to above issue. > We should consider limiting the message size in logs which can be easily done > by adding a maximum width format modifier on the message conversion character > in log4j.properties > log4j.appender.console.layout.ConversionPattern=...: %m%n > to > log4j.appender.console.layout.ConversionPattern=...: %.1m%n -- This message was sent by Atlassian JIRA (v6.4.14#64029)
[jira] [Updated] (HBASE-18517) limit max log message width in log4j
[ https://issues.apache.org/jira/browse/HBASE-18517?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] stack updated HBASE-18517: -- Resolution: Fixed Status: Resolved (was: Patch Available) > limit max log message width in log4j > > > Key: HBASE-18517 > URL: https://issues.apache.org/jira/browse/HBASE-18517 > Project: HBase > Issue Type: Bug >Affects Versions: 1.5.0, 2.0.0-alpha-2 >Reporter: Vikas Vishwakarma >Assignee: Vikas Vishwakarma > Fix For: 1.5.0, 2.0.0-alpha-2 > > Attachments: HBASE-18517.branch-1.001.patch, > HBASE-18517.master.001.patch > > > We had two cases now in our prod / pilot setups which is leading to humongous > log lines in RegionServer logs. > In first case, one of the phoenix user had constructed a query with a really > large list of Id filters (61 MB) that translated into HBase scan that was > running slow which lead to responseTooSlow messages in the logs with the > entire filter list being printed in the logs, example > ipc.RpcServer - (responseTooSlow): > {"call":"Scan(org.apache.hadoop.hbase.protobuf.generated.ClientProtos$ScanRequest)","starttimems":1501457864417,"responsesize":11,"method":"Scan","param":"region > { type: REGION_NAME value: . > org.apache.hadoop.hbase.filter.FirstKeyOnlyFilter\\022\351\\200\\036\\n(org.apache.phoenix.filter.SkipScanFilter > ... ... > There was another case where a use case had created a table with really large > key/region names. This was causing humongous log lines for flush and > compaction on these regions filling up the RS logs > These large logs usually cause issues with disk I/O load, loading the splunk > servers, even machine perf degradations. With 61 MB log lines basic log > processing commands like vim, scrolling the logs, wc -l , etc were getting > stuck. High GC activity was also noted on this cluster although not 100% sure > if it was related to above issue. > We should consider limiting the message size in logs which can be easily done > by adding a maximum width format modifier on the message conversion character > in log4j.properties > log4j.appender.console.layout.ConversionPattern=...: %m%n > to > log4j.appender.console.layout.ConversionPattern=...: %.1m%n -- This message was sent by Atlassian JIRA (v6.4.14#64029)
[jira] [Updated] (HBASE-18517) limit max log message width in log4j
[ https://issues.apache.org/jira/browse/HBASE-18517?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] stack updated HBASE-18517: -- Affects Version/s: (was: 3.0.0) 2.0.0-alpha-2 Hadoop Flags: Incompatible change,Reviewed Release Note: Sets a log length max of 1k. Fix Version/s: (was: 3.0.0) 2.0.0-alpha-2 Pushed to branch-1 and branch-2 as well as master. Thanks [~vik.karma] > limit max log message width in log4j > > > Key: HBASE-18517 > URL: https://issues.apache.org/jira/browse/HBASE-18517 > Project: HBase > Issue Type: Bug >Affects Versions: 1.5.0, 2.0.0-alpha-2 >Reporter: Vikas Vishwakarma >Assignee: Vikas Vishwakarma > Fix For: 1.5.0, 2.0.0-alpha-2 > > Attachments: HBASE-18517.branch-1.001.patch, > HBASE-18517.master.001.patch > > > We had two cases now in our prod / pilot setups which is leading to humongous > log lines in RegionServer logs. > In first case, one of the phoenix user had constructed a query with a really > large list of Id filters (61 MB) that translated into HBase scan that was > running slow which lead to responseTooSlow messages in the logs with the > entire filter list being printed in the logs, example > ipc.RpcServer - (responseTooSlow): > {"call":"Scan(org.apache.hadoop.hbase.protobuf.generated.ClientProtos$ScanRequest)","starttimems":1501457864417,"responsesize":11,"method":"Scan","param":"region > { type: REGION_NAME value: . > org.apache.hadoop.hbase.filter.FirstKeyOnlyFilter\\022\351\\200\\036\\n(org.apache.phoenix.filter.SkipScanFilter > ... ... > There was another case where a use case had created a table with really large > key/region names. This was causing humongous log lines for flush and > compaction on these regions filling up the RS logs > These large logs usually cause issues with disk I/O load, loading the splunk > servers, even machine perf degradations. With 61 MB log lines basic log > processing commands like vim, scrolling the logs, wc -l , etc were getting > stuck. High GC activity was also noted on this cluster although not 100% sure > if it was related to above issue. > We should consider limiting the message size in logs which can be easily done > by adding a maximum width format modifier on the message conversion character > in log4j.properties > log4j.appender.console.layout.ConversionPattern=...: %m%n > to > log4j.appender.console.layout.ConversionPattern=...: %.1m%n -- This message was sent by Atlassian JIRA (v6.4.14#64029)
[jira] [Updated] (HBASE-18517) limit max log message width in log4j
[ https://issues.apache.org/jira/browse/HBASE-18517?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vikas Vishwakarma updated HBASE-18517: -- Attachment: (was: HBASE-18374.master.001.patch) > limit max log message width in log4j > > > Key: HBASE-18517 > URL: https://issues.apache.org/jira/browse/HBASE-18517 > Project: HBase > Issue Type: Bug >Affects Versions: 3.0.0, 1.5.0 >Reporter: Vikas Vishwakarma >Assignee: Vikas Vishwakarma > Fix For: 3.0.0, 1.5.0 > > Attachments: HBASE-18517.branch-1.001.patch, > HBASE-18517.master.001.patch > > > We had two cases now in our prod / pilot setups which is leading to humongous > log lines in RegionServer logs. > In first case, one of the phoenix user had constructed a query with a really > large list of Id filters (61 MB) that translated into HBase scan that was > running slow which lead to responseTooSlow messages in the logs with the > entire filter list being printed in the logs, example > ipc.RpcServer - (responseTooSlow): > {"call":"Scan(org.apache.hadoop.hbase.protobuf.generated.ClientProtos$ScanRequest)","starttimems":1501457864417,"responsesize":11,"method":"Scan","param":"region > { type: REGION_NAME value: . > org.apache.hadoop.hbase.filter.FirstKeyOnlyFilter\\022\351\\200\\036\\n(org.apache.phoenix.filter.SkipScanFilter > ... ... > There was another case where a use case had created a table with really large > key/region names. This was causing humongous log lines for flush and > compaction on these regions filling up the RS logs > These large logs usually cause issues with disk I/O load, loading the splunk > servers, even machine perf degradations. With 61 MB log lines basic log > processing commands like vim, scrolling the logs, wc -l , etc were getting > stuck. High GC activity was also noted on this cluster although not 100% sure > if it was related to above issue. > We should consider limiting the message size in logs which can be easily done > by adding a maximum width format modifier on the message conversion character > in log4j.properties > log4j.appender.console.layout.ConversionPattern=...: %m%n > to > log4j.appender.console.layout.ConversionPattern=...: %.1m%n -- This message was sent by Atlassian JIRA (v6.4.14#64029)
[jira] [Updated] (HBASE-18517) limit max log message width in log4j
[ https://issues.apache.org/jira/browse/HBASE-18517?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vikas Vishwakarma updated HBASE-18517: -- Attachment: HBASE-18517.master.001.patch > limit max log message width in log4j > > > Key: HBASE-18517 > URL: https://issues.apache.org/jira/browse/HBASE-18517 > Project: HBase > Issue Type: Bug >Affects Versions: 3.0.0, 1.5.0 >Reporter: Vikas Vishwakarma >Assignee: Vikas Vishwakarma > Fix For: 3.0.0, 1.5.0 > > Attachments: HBASE-18517.branch-1.001.patch, > HBASE-18517.master.001.patch > > > We had two cases now in our prod / pilot setups which is leading to humongous > log lines in RegionServer logs. > In first case, one of the phoenix user had constructed a query with a really > large list of Id filters (61 MB) that translated into HBase scan that was > running slow which lead to responseTooSlow messages in the logs with the > entire filter list being printed in the logs, example > ipc.RpcServer - (responseTooSlow): > {"call":"Scan(org.apache.hadoop.hbase.protobuf.generated.ClientProtos$ScanRequest)","starttimems":1501457864417,"responsesize":11,"method":"Scan","param":"region > { type: REGION_NAME value: . > org.apache.hadoop.hbase.filter.FirstKeyOnlyFilter\\022\351\\200\\036\\n(org.apache.phoenix.filter.SkipScanFilter > ... ... > There was another case where a use case had created a table with really large > key/region names. This was causing humongous log lines for flush and > compaction on these regions filling up the RS logs > These large logs usually cause issues with disk I/O load, loading the splunk > servers, even machine perf degradations. With 61 MB log lines basic log > processing commands like vim, scrolling the logs, wc -l , etc were getting > stuck. High GC activity was also noted on this cluster although not 100% sure > if it was related to above issue. > We should consider limiting the message size in logs which can be easily done > by adding a maximum width format modifier on the message conversion character > in log4j.properties > log4j.appender.console.layout.ConversionPattern=...: %m%n > to > log4j.appender.console.layout.ConversionPattern=...: %.1m%n -- This message was sent by Atlassian JIRA (v6.4.14#64029)
[jira] [Updated] (HBASE-18517) limit max log message width in log4j
[ https://issues.apache.org/jira/browse/HBASE-18517?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vikas Vishwakarma updated HBASE-18517: -- Fix Version/s: 1.5.0 3.0.0 Affects Version/s: 1.5.0 3.0.0 Status: Patch Available (was: Open) QA run > limit max log message width in log4j > > > Key: HBASE-18517 > URL: https://issues.apache.org/jira/browse/HBASE-18517 > Project: HBase > Issue Type: Bug >Affects Versions: 3.0.0, 1.5.0 >Reporter: Vikas Vishwakarma >Assignee: Vikas Vishwakarma > Fix For: 3.0.0, 1.5.0 > > Attachments: HBASE-18374.master.001.patch, > HBASE-18517.branch-1.001.patch > > > We had two cases now in our prod / pilot setups which is leading to humongous > log lines in RegionServer logs. > In first case, one of the phoenix user had constructed a query with a really > large list of Id filters (61 MB) that translated into HBase scan that was > running slow which lead to responseTooSlow messages in the logs with the > entire filter list being printed in the logs, example > ipc.RpcServer - (responseTooSlow): > {"call":"Scan(org.apache.hadoop.hbase.protobuf.generated.ClientProtos$ScanRequest)","starttimems":1501457864417,"responsesize":11,"method":"Scan","param":"region > { type: REGION_NAME value: . > org.apache.hadoop.hbase.filter.FirstKeyOnlyFilter\\022\351\\200\\036\\n(org.apache.phoenix.filter.SkipScanFilter > ... ... > There was another case where a use case had created a table with really large > key/region names. This was causing humongous log lines for flush and > compaction on these regions filling up the RS logs > These large logs usually cause issues with disk I/O load, loading the splunk > servers, even machine perf degradations. With 61 MB log lines basic log > processing commands like vim, scrolling the logs, wc -l , etc were getting > stuck. High GC activity was also noted on this cluster although not 100% sure > if it was related to above issue. > We should consider limiting the message size in logs which can be easily done > by adding a maximum width format modifier on the message conversion character > in log4j.properties > log4j.appender.console.layout.ConversionPattern=...: %m%n > to > log4j.appender.console.layout.ConversionPattern=...: %.1m%n -- This message was sent by Atlassian JIRA (v6.4.14#64029)
[jira] [Updated] (HBASE-18517) limit max log message width in log4j
[ https://issues.apache.org/jira/browse/HBASE-18517?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vikas Vishwakarma updated HBASE-18517: -- Attachment: HBASE-18374.master.001.patch HBASE-18517.branch-1.001.patch > limit max log message width in log4j > > > Key: HBASE-18517 > URL: https://issues.apache.org/jira/browse/HBASE-18517 > Project: HBase > Issue Type: Bug >Reporter: Vikas Vishwakarma >Assignee: Vikas Vishwakarma > Attachments: HBASE-18374.master.001.patch, > HBASE-18517.branch-1.001.patch > > > We had two cases now in our prod / pilot setups which is leading to humongous > log lines in RegionServer logs. > In first case, one of the phoenix user had constructed a query with a really > large list of Id filters (61 MB) that translated into HBase scan that was > running slow which lead to responseTooSlow messages in the logs with the > entire filter list being printed in the logs, example > ipc.RpcServer - (responseTooSlow): > {"call":"Scan(org.apache.hadoop.hbase.protobuf.generated.ClientProtos$ScanRequest)","starttimems":1501457864417,"responsesize":11,"method":"Scan","param":"region > { type: REGION_NAME value: . > org.apache.hadoop.hbase.filter.FirstKeyOnlyFilter\\022\351\\200\\036\\n(org.apache.phoenix.filter.SkipScanFilter > ... ... > There was another case where a use case had created a table with really large > key/region names. This was causing humongous log lines for flush and > compaction on these regions filling up the RS logs > These large logs usually cause issues with disk I/O load, loading the splunk > servers, even machine perf degradations. With 61 MB log lines basic log > processing commands like vim, scrolling the logs, wc -l , etc were getting > stuck. High GC activity was also noted on this cluster although not 100% sure > if it was related to above issue. > We should consider limiting the message size in logs which can be easily done > by adding a maximum width format modifier on the message conversion character > in log4j.properties > log4j.appender.console.layout.ConversionPattern=...: %m%n > to > log4j.appender.console.layout.ConversionPattern=...: %.1m%n -- This message was sent by Atlassian JIRA (v6.4.14#64029)
[jira] [Updated] (HBASE-18517) limit max log message width in log4j
[ https://issues.apache.org/jira/browse/HBASE-18517?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vikas Vishwakarma updated HBASE-18517: -- Description: We had two cases now in our prod / pilot setups which is leading to humongous log lines in RegionServer logs. In first case, one of the phoenix user had constructed a query with a really large list of Id filters (61 MB) that translated into HBase scan that was running slow which lead to responseTooSlow messages in the logs with the entire filter list being printed in the logs, example ipc.RpcServer - (responseTooSlow): {"call":"Scan(org.apache.hadoop.hbase.protobuf.generated.ClientProtos$ScanRequest)","starttimems":1501457864417,"responsesize":11,"method":"Scan","param":"region { type: REGION_NAME value: . org.apache.hadoop.hbase.filter.FirstKeyOnlyFilter\\022\351\\200\\036\\n(org.apache.phoenix.filter.SkipScanFilter ... ... There was another case where a use case had created a table with really large key/region names. This was causing humongous log lines for flush and compaction on these regions filling up the RS logs These large logs usually cause issues with disk I/O load, loading the splunk servers, even machine perf degradations. With 61 MB log lines basic log processing commands like vim, scrolling the logs, wc -l , etc were getting stuck. High GC activity was also noted on this cluster although not 100% sure if it was related to above issue. We should consider limiting the message size in logs which can be easily done by adding a maximum width format modifier on the message conversion character in log4j.properties log4j.appender.console.layout.ConversionPattern=...: %m%n to log4j.appender.console.layout.ConversionPattern=...: %.1m%n was: We had two cases now in our prod / pilot setups which is leading to humongous log lines in RegionServer logs. In one case one of the phoenix user had constructed a query with a really large list of Id filters (61 MB) that translated into HBase scan that was running slow which lead to responseTooSlow messages in the logs with the entire filter list being printed in the logs, example ipc.RpcServer - (responseTooSlow): {"call":"Scan(org.apache.hadoop.hbase.protobuf.generated.ClientProtos$ScanRequest)","starttimems":1501457864417,"responsesize":11,"method":"Scan","param":"region { type: REGION_NAME value: . org.apache.hadoop.hbase.filter.FirstKeyOnlyFilter\\022\351\\200\\036\\n(org.apache.phoenix.filter.SkipScanFilter ... ... There was another case where a use case had created a table with really large key/region names. This was causing humongous log lines for flush and compaction on these regions filling up the RS logs These large logs usually cause issues with disk I/O load, loading the splunk servers, even machine perf degradations. With 61 MB log lines basic log processing commands like vim, scrolling the logs, wc -l , etc were getting stuck. High GC activity was also noted on this cluster although not 100% sure if it was related to above issue. We should consider limiting the message size in logs which can be easily done by adding a maximum width format modifier on the message conversion character in log4j.properties log4j.appender.console.layout.ConversionPattern=...: %m%n to log4j.appender.console.layout.ConversionPattern=...: %.1m%n > limit max log message width in log4j > > > Key: HBASE-18517 > URL: https://issues.apache.org/jira/browse/HBASE-18517 > Project: HBase > Issue Type: Bug >Reporter: Vikas Vishwakarma >Assignee: Vikas Vishwakarma > > We had two cases now in our prod / pilot setups which is leading to humongous > log lines in RegionServer logs. > In first case, one of the phoenix user had constructed a query with a really > large list of Id filters (61 MB) that translated into HBase scan that was > running slow which lead to responseTooSlow messages in the logs with the > entire filter list being printed in the logs, example > ipc.RpcServer - (responseTooSlow): > {"call":"Scan(org.apache.hadoop.hbase.protobuf.generated.ClientProtos$ScanRequest)","starttimems":1501457864417,"responsesize":11,"method":"Scan","param":"region > { type: REGION_NAME value: . > org.apache.hadoop.hbase.filter.FirstKeyOnlyFilter\\022\351\\200\\036\\n(org.apache.phoenix.filter.SkipScanFilter > ... ... > There was another case where a use case had created a table with really large > key/region names. This was causing humongous log lines for flush and > compaction on these regions filling up the RS logs > These large logs usually cause issues with disk I/O load, loading the splunk > servers, even machine perf degradations. With 61 MB log lines basic log > processing commands like vim, scrolling the logs, wc -l , etc were getting > stuck. High GC activity
[jira] [Updated] (HBASE-18517) limit max log message width in log4j
[ https://issues.apache.org/jira/browse/HBASE-18517?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vikas Vishwakarma updated HBASE-18517: -- Description: We had two cases now in our prod / pilot setups which is leading to humongous log lines in RegionServer logs. In one case one of the phoenix user had constructed a query with a really large list of Id filters (61 MB) that translated into HBase scan that was running slow which lead to responseTooSlow messages in the logs with the entire filter list being printed in the logs, example ipc.RpcServer - (responseTooSlow): {"call":"Scan(org.apache.hadoop.hbase.protobuf.generated.ClientProtos$ScanRequest)","starttimems":1501457864417,"responsesize":11,"method":"Scan","param":"region { type: REGION_NAME value: . org.apache.hadoop.hbase.filter.FirstKeyOnlyFilter\\022\351\\200\\036\\n(org.apache.phoenix.filter.SkipScanFilter ... ... There was another case where a use case had created a table with really large key/region names. This was causing humongous log lines for flush and compaction on these regions filling up the RS logs These large logs usually cause issues with disk I/O load, loading the splunk servers, even machine perf degradations. With 61 MB log lines basic log processing commands like vim, scrolling the logs, wc -l , etc were getting stuck. High GC activity was also noted on this cluster although not 100% sure if it was related to above issue. We should consider limiting the message size in logs which can be easily done by adding a maximum width format modifier on the message conversion character in log4j.properties log4j.appender.console.layout.ConversionPattern=...: %m%n to log4j.appender.console.layout.ConversionPattern=...: %.1m%n was: We had two cases now in our prod / pilot setups which is leading to humongous log lines in RegionServer logs. In one case one of the phoenix user had constructed a query with a really large list of Id filters (61 MB) that translated into HBase scan that was running slow which lead to responseTooSlow messages in the logs with the entire filter list being printed in the logs, example ipc.RpcServer - (responseTooSlow): {"call":"Scan(org.apache.hadoop.hbase.protobuf.generated.ClientProtos$ScanRequest)","starttimems":1501457864417,"responsesize":11,"method":"Scan","param":"region { type: REGION_NAME value: . org.apache.hadoop.hbase.filter.FirstKeyOnlyFilter\\022\351\\200\\036\\n(org.apache.phoenix.filter.SkipScanFilter ... ... There was another case where a use case had created a table with really large key/region names. This was causing humongous log lines for flush and compaction on these regions filling up the RS logs These large logs usually cause issues with disk I/O load, loading the splunk servers, even machine perf degradations. With 61 MB log lines basic log processing commands like vim, scrolling the logs, wc -l , etc were getting stuck. High GC activity was also noted on this cluster although not 100% sure if it was related to above issue. We should consider limiting the message size in logs which can be easily done by adding a maximum width format modifier on the message conversion character in log4j.properties log4j.appender.console.layout.ConversionPattern=%d{ISO8601} %-5p [%t] %c{2}: %m%n to log4j.appender.console.layout.ConversionPattern=%d{ISO8601} %-5p [%t] %c{2}: %.1m%n > limit max log message width in log4j > > > Key: HBASE-18517 > URL: https://issues.apache.org/jira/browse/HBASE-18517 > Project: HBase > Issue Type: Bug >Reporter: Vikas Vishwakarma >Assignee: Vikas Vishwakarma > > We had two cases now in our prod / pilot setups which is leading to humongous > log lines in RegionServer logs. > In one case one of the phoenix user had constructed a query with a really > large list of Id filters (61 MB) that translated into HBase scan that was > running slow which lead to responseTooSlow messages in the logs with the > entire filter list being printed in the logs, example > ipc.RpcServer - (responseTooSlow): > {"call":"Scan(org.apache.hadoop.hbase.protobuf.generated.ClientProtos$ScanRequest)","starttimems":1501457864417,"responsesize":11,"method":"Scan","param":"region > { type: REGION_NAME value: . > org.apache.hadoop.hbase.filter.FirstKeyOnlyFilter\\022\351\\200\\036\\n(org.apache.phoenix.filter.SkipScanFilter > ... ... > There was another case where a use case had created a table with really large > key/region names. This was causing humongous log lines for flush and > compaction on these regions filling up the RS logs > These large logs usually cause issues with disk I/O load, loading the splunk > servers, even machine perf degradations. With 61 MB log lines basic log > processing commands like vim, scrolling the logs, wc -l , e