[jira] [Created] (HADOOP-16738) Best Big data hadoop training in pune
surbhi nahta created HADOOP-16738: - Summary: Best Big data hadoop training in pune Key: HADOOP-16738 URL: https://issues.apache.org/jira/browse/HADOOP-16738 Project: Hadoop Common Issue Type: New Feature Reporter: surbhi nahta h1. What are some software and skills that every data scientist should know (including R, Matlab, and Hadoop)? Also, what are some resources for learning Hadoop? -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: common-dev-unsubscr...@hadoop.apache.org For additional commands, e-mail: common-dev-h...@hadoop.apache.org
[jira] [Resolved] (HADOOP-16737) Best Big data hadoop training in pune
[ https://issues.apache.org/jira/browse/HADOOP-16737?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Ayush Saxena resolved HADOOP-16737. --- Resolution: Invalid Can you please not spam JIRA. This is not the place to do marketing. Please stop raising this, despite most of us telling multiple times. > Best Big data hadoop training in pune > - > > Key: HADOOP-16737 > URL: https://issues.apache.org/jira/browse/HADOOP-16737 > Project: Hadoop Common > Issue Type: New Feature > Environment: Here at SevenMentor, We've Got industry-standard Big > Data Hadoop Courses in Pune made by IT professionals. The coaching we provide > is 100% functional. With coaching we supply 100+ missions, POC's and real > time jobs. >Reporter: surbhi nahta >Priority: Minor > Original Estimate: 504h > Remaining Estimate: 504h > > In SevenMentor, we're always striving to attain value for our applicants. We > supply the Greatest Big Data Hadoop Training in Pune that comprises latest > tools and technologies. Any candidate in a IT background or with basic > understanding of programming can register for this program. Freshers or > expert applicants can combine this course to comprehend Hadoop analytics and > advancement practically. > Big Data is the information that can't be processed by conventional database > systems. Substantial data consist of information in the ordered ie. Hadoop > frame is made up of Storage area called Hadoop Distributed File System(HDFS) > and processing component called the MapReduce programming version. > -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: common-dev-unsubscr...@hadoop.apache.org For additional commands, e-mail: common-dev-h...@hadoop.apache.org
[jira] [Created] (HADOOP-16737) Best Big data hadoop training in pune
surbhi nahta created HADOOP-16737: - Summary: Best Big data hadoop training in pune Key: HADOOP-16737 URL: https://issues.apache.org/jira/browse/HADOOP-16737 Project: Hadoop Common Issue Type: New Feature Environment: Here at SevenMentor, We've Got industry-standard Big Data Hadoop Courses in Pune made by IT professionals. The coaching we provide is 100% functional. With coaching we supply 100+ missions, POC's and real time jobs. Reporter: surbhi nahta In SevenMentor, we're always striving to attain value for our applicants. We supply the Greatest Big Data Hadoop Training in Pune that comprises latest tools and technologies. Any candidate in a IT background or with basic understanding of programming can register for this program. Freshers or expert applicants can combine this course to comprehend Hadoop analytics and advancement practically. Big Data is the information that can't be processed by conventional database systems. Substantial data consist of information in the ordered ie. Hadoop frame is made up of Storage area called Hadoop Distributed File System(HDFS) and processing component called the MapReduce programming version. -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: common-dev-unsubscr...@hadoop.apache.org For additional commands, e-mail: common-dev-h...@hadoop.apache.org
[jira] [Resolved] (HADOOP-16736) Best Big data hadoop training in pune
[ https://issues.apache.org/jira/browse/HADOOP-16736?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Larry McCay resolved HADOOP-16736. -- Resolution: Invalid This is spam - resolving as Invalid. > Best Big data hadoop training in pune > - > > Key: HADOOP-16736 > URL: https://issues.apache.org/jira/browse/HADOOP-16736 > Project: Hadoop Common > Issue Type: New Feature >Reporter: surbhi nahta >Priority: Major > > At SevenMentor, we are always striving to achieve value for our candidates. > We provide the *Best Big Data Hadoop Training in Pune* which includes all > recent technologies and tools. Any candidate from an IT background or having > basic knowledge of programming can enroll for this course. Freshers or > experienced candidates can join this course to understand Hadoop analytics > and development practically. Big Data is the data that can not be processed > by traditional database systems. Big data consist of data in the structured > ie. Rows and Columns format, semi-structured i.e.XML records and Unstructured > format i.e.Text records, Twitter Comments. Hadoop is a software framework for > writing and running distributed applications that process a large amount of > data. Hadoop framework consists of Storage area known as Hadoop Distributed > File System(HDFS) and processing part known as the MapReduce programming > model. -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: common-dev-unsubscr...@hadoop.apache.org For additional commands, e-mail: common-dev-h...@hadoop.apache.org
[jira] [Created] (HADOOP-16736) Best Big data hadoop training in pune
surbhi nahta created HADOOP-16736: - Summary: Best Big data hadoop training in pune Key: HADOOP-16736 URL: https://issues.apache.org/jira/browse/HADOOP-16736 Project: Hadoop Common Issue Type: New Feature Reporter: surbhi nahta At SevenMentor, we are always striving to achieve value for our candidates. We provide the *Best Big Data Hadoop Training in Pune* which includes all recent technologies and tools. Any candidate from an IT background or having basic knowledge of programming can enroll for this course. Freshers or experienced candidates can join this course to understand Hadoop analytics and development practically. Big Data is the data that can not be processed by traditional database systems. Big data consist of data in the structured ie. Rows and Columns format, semi-structured i.e.XML records and Unstructured format i.e.Text records, Twitter Comments. Hadoop is a software framework for writing and running distributed applications that process a large amount of data. Hadoop framework consists of Storage area known as Hadoop Distributed File System(HDFS) and processing part known as the MapReduce programming model. -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: common-dev-unsubscr...@hadoop.apache.org For additional commands, e-mail: common-dev-h...@hadoop.apache.org
[jira] [Created] (HADOOP-16735) Make it clearer in config default that EnvironmentVariableCredentialsProvider supports AWS_SESSION_TOKEN
Mingliang Liu created HADOOP-16735:
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Summary: Make it clearer in config default that
EnvironmentVariableCredentialsProvider supports AWS_SESSION_TOKEN
Key: HADOOP-16735
URL: https://issues.apache.org/jira/browse/HADOOP-16735
Project: Hadoop Common
Issue Type: Improvement
Components: documentation, fs/s3
Reporter: Mingliang Liu
Assignee: Mingliang Liu
In the great doc {{hadoop-aws/tools/hadoop-aws/index.html}}, user can find that
authenticating via the AWS Environment Variables supports session token.
However, the config description in core-default.xml does not make it clear.
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[jira] [Created] (HADOOP-16734) Backport HADOOP-16455- "ABFS: Implement FileSystem.access() method" to branch-2
Bilahari T H created HADOOP-16734: - Summary: Backport HADOOP-16455- "ABFS: Implement FileSystem.access() method" to branch-2 Key: HADOOP-16734 URL: https://issues.apache.org/jira/browse/HADOOP-16734 Project: Hadoop Common Issue Type: Task Components: fs/azure Affects Versions: 2.0 Reporter: Bilahari T H Assignee: Bilahari T H Fix For: 2.11.0 Backport https://issues.apache.org/jira/browse/HADOOP-16455 -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: common-dev-unsubscr...@hadoop.apache.org For additional commands, e-mail: common-dev-h...@hadoop.apache.org
Re: Some updates for Hadoop on ARM and next steps
Also note that.. Nothing gets deployed back to maven central repo from this job. So no interference with other jobs and nodes as well. -Vinay On Thu, 28 Nov 2019, 10:55 pm Vinayakumar B, wrote: > Hi all, > > As a starter.. > Created a simple mvn based job (not yetus and docker as current qbt on > trunk on x86) in > > https://builds.apache.org/job/Hadoop-qbt-linux-ARM-trunk/7/console > > Right now using the manual tools installed and the previous workarounds > mentioned related to various third-party dependencies related ARM > architecture. This will be triggered daily once automatically. > > Going forward we can make sure that yetus with docker works fine in this > node as well and configure similar to x86 qbt run. > > -Vinay > > On Thu, 28 Nov 2019, 7:30 am Zhenyu Zheng, > wrote: > >> Thanks for the reply Chris, And really appriaciated about all the things >> you have done to made our node work. I'm sending this ML to send out info >> about the node is ready. And hope someone from Hadoop project could help >> us >> set some new jobs/builds, I totally understand your role and opinion, I'm >> not asking you to add jobs for Hadoop, I'm just trying to make clear about >> what we are looking for. >> >> As Chris mentioned in previous email interactions, there are 3 kinds of CI >> nodes available in the CI system, the 1st and 2nd type have to use the >> current infra management tools to install tools and software required for >> the system, which the infra management tool is currently not ready for ARM >> platform. And the 3rd kind of CI nodes is what we are ready now - we >> manually install all the required tools and software and maintain them >> according to infra's other nodes. And we will try to make the infra >> management tools usable for ARM platform to make the nodes type2 or type1. >> >> As for jobs/builds, seems a periodic job/builds like >> https://builds.apache.org/view/H-L/view/Hadoop/job/Hadoop-trunk-Commit/ >> seems >> to be the most suitable for what we are looking for the current step. >> Since >> we are still having some errors and failures(15 erros in Hadoop-YARN, 4 >> Failures and 2 Errors in Hadoop-HDFS, 23 Failures in Hadoop-MapReduce, >> which is a quite small number comparing to the total number of tests, and >> failures/errors in same sub-project seems to be caused by same problem) >> that our team will work on, so we want to propose 4 different jobs similar >> to the mechanism used in Hadoop-trunk-Commit, a SCM triggered periodic job >> test out building and UT for each sub-project: >> Hadoop-YARN-trunk-Commit-Aarch64, Hadoop-HDFS-trunk-Commit-Aarch64, >> Hadoop-MapReducer-trunk-Commit-Aarch64 and Hadoop-Common-trunk-Commit >> Aarch64 to be more tracked for each project. We can also start one by one, >> of cause. >> >> Hope this could clear all the misunderstanding. >> >> BR, >> >> On Wed, Nov 27, 2019 at 10:28 PM Chris Thistlethwaite >> wrote: >> >> > If anyone would like to follow along in JIRA, here's the ticket >> > https://issues.apache.org/jira/browse/INFRA-19369. I've been updating >> > that ticket with any issues. arm-poc has been moved to a node in >> Singapore >> > and will need to be tested again with builds. >> > >> > I'm going to mention again that someone from Hadoop should be changing >> > these builds in order to run against arm-poc. In my reply below, I >> thought >> > that the project knew about the ARM nodes and was involved with setting >> up >> > new builds, which is why I said I'd be willing to make simple changes >> for >> > testing. However I don't want to change things without the knowledge of >> the >> > project. The builds themselves are created by the project, not Infra, >> which >> > means I have no idea which build should run against ARM vs any other >> CPU. >> > >> > -Chris T. >> > #asfinfra >> > >> > On 11/22/19 9:28 AM, Chris Thistlethwaite wrote: >> > >> > In order to run builds against arm-poc, someone (me included) will need >> to >> > change a build config to only use that label. The node itself isn't >> fully >> > built out like our other ASF nodes, due to the fact that it's ARM and we >> > don't have all the packaged tools built for that architecture, it will >> > likely take some time to fix issues. >> > >> > >> > -Chris T. >> > #asfinfra >> > >> > On 11/22/19 3:46 AM, bo zhaobo wrote: >> > >> > Thanks. That would be great if a project can use the ARM test worker to >> do >> > the specific testing on ARM. >> > >> > Also I think it's better to make @Chris Thistlethwaite < >> chr...@apache.org> know >> > this email. Could you please give some kind advices? Thank you. >> > >> > BR >> > >> > ZhaoBo >> > >> > >> > >> > [image: Mailtrack] >> > < >> https://mailtrack.io?utm_source=gmail&utm_medium=signature&utm_campaign=signaturevirality5&;> >> Sender >> > notified by >> > Mailtrack >> > < >> https://mailtrack.io?utm_source=gmail&utm_medium=signature&utm_campaign=signaturevirality5&;> >> 19/11/22 >> > 下午04:42:30 >> > >> > Zhenyu Zheng 于2019年11月
Re: Some updates for Hadoop on ARM and next steps
Hi all, As a starter.. Created a simple mvn based job (not yetus and docker as current qbt on trunk on x86) in https://builds.apache.org/job/Hadoop-qbt-linux-ARM-trunk/7/console Right now using the manual tools installed and the previous workarounds mentioned related to various third-party dependencies related ARM architecture. This will be triggered daily once automatically. Going forward we can make sure that yetus with docker works fine in this node as well and configure similar to x86 qbt run. -Vinay On Thu, 28 Nov 2019, 7:30 am Zhenyu Zheng, wrote: > Thanks for the reply Chris, And really appriaciated about all the things > you have done to made our node work. I'm sending this ML to send out info > about the node is ready. And hope someone from Hadoop project could help us > set some new jobs/builds, I totally understand your role and opinion, I'm > not asking you to add jobs for Hadoop, I'm just trying to make clear about > what we are looking for. > > As Chris mentioned in previous email interactions, there are 3 kinds of CI > nodes available in the CI system, the 1st and 2nd type have to use the > current infra management tools to install tools and software required for > the system, which the infra management tool is currently not ready for ARM > platform. And the 3rd kind of CI nodes is what we are ready now - we > manually install all the required tools and software and maintain them > according to infra's other nodes. And we will try to make the infra > management tools usable for ARM platform to make the nodes type2 or type1. > > As for jobs/builds, seems a periodic job/builds like > https://builds.apache.org/view/H-L/view/Hadoop/job/Hadoop-trunk-Commit/ > seems > to be the most suitable for what we are looking for the current step. Since > we are still having some errors and failures(15 erros in Hadoop-YARN, 4 > Failures and 2 Errors in Hadoop-HDFS, 23 Failures in Hadoop-MapReduce, > which is a quite small number comparing to the total number of tests, and > failures/errors in same sub-project seems to be caused by same problem) > that our team will work on, so we want to propose 4 different jobs similar > to the mechanism used in Hadoop-trunk-Commit, a SCM triggered periodic job > test out building and UT for each sub-project: > Hadoop-YARN-trunk-Commit-Aarch64, Hadoop-HDFS-trunk-Commit-Aarch64, > Hadoop-MapReducer-trunk-Commit-Aarch64 and Hadoop-Common-trunk-Commit > Aarch64 to be more tracked for each project. We can also start one by one, > of cause. > > Hope this could clear all the misunderstanding. > > BR, > > On Wed, Nov 27, 2019 at 10:28 PM Chris Thistlethwaite > wrote: > > > If anyone would like to follow along in JIRA, here's the ticket > > https://issues.apache.org/jira/browse/INFRA-19369. I've been updating > > that ticket with any issues. arm-poc has been moved to a node in > Singapore > > and will need to be tested again with builds. > > > > I'm going to mention again that someone from Hadoop should be changing > > these builds in order to run against arm-poc. In my reply below, I > thought > > that the project knew about the ARM nodes and was involved with setting > up > > new builds, which is why I said I'd be willing to make simple changes for > > testing. However I don't want to change things without the knowledge of > the > > project. The builds themselves are created by the project, not Infra, > which > > means I have no idea which build should run against ARM vs any other CPU. > > > > -Chris T. > > #asfinfra > > > > On 11/22/19 9:28 AM, Chris Thistlethwaite wrote: > > > > In order to run builds against arm-poc, someone (me included) will need > to > > change a build config to only use that label. The node itself isn't fully > > built out like our other ASF nodes, due to the fact that it's ARM and we > > don't have all the packaged tools built for that architecture, it will > > likely take some time to fix issues. > > > > > > -Chris T. > > #asfinfra > > > > On 11/22/19 3:46 AM, bo zhaobo wrote: > > > > Thanks. That would be great if a project can use the ARM test worker to > do > > the specific testing on ARM. > > > > Also I think it's better to make @Chris Thistlethwaite < > chr...@apache.org> know > > this email. Could you please give some kind advices? Thank you. > > > > BR > > > > ZhaoBo > > > > > > > > [image: Mailtrack] > > < > https://mailtrack.io?utm_source=gmail&utm_medium=signature&utm_campaign=signaturevirality5&;> > Sender > > notified by > > Mailtrack > > < > https://mailtrack.io?utm_source=gmail&utm_medium=signature&utm_campaign=signaturevirality5&;> > 19/11/22 > > 下午04:42:30 > > > > Zhenyu Zheng 于2019年11月22日周五 下午4:32写道： > > > >> Hi Hadoop, > >> > >> > >> > >> First off, I want to thanks to Wei-Chiu for having me on the last week's > >> Hadoop community sync to introduce our ideas of ARM support on Hadoop. > And > >> also for all the attendees for listening and providing suggestions. > >> > >> > >> > >> I want to provide some update on the status
Apache Hadoop qbt Report: trunk+JDK8 on Linux/x86
For more details, see https://builds.apache.org/job/hadoop-qbt-trunk-java8-linux-x86/1334/ [Nov 27, 2019 2:57:20 AM] (yqlin) HDFS-14649. Add suspect probe for DeadNodeDetector. Contributed by [Nov 27, 2019 8:57:27 AM] (prabhujoseph) MAPREDUCE-7240. Fix Invalid event: TA_TOO_MANY_FETCH_FAILURE at [Nov 27, 2019 3:56:38 PM] (stevel) HADOOP-16455. ABFS: Implement FileSystem.access() method. [Nov 27, 2019 11:10:21 PM] (dazhou) HADOOP-16660. ABFS: Make RetryCount in ExponentialRetryPolicy -1 overall The following subsystems voted -1: asflicense findbugs pathlen unit xml The following subsystems voted -1 but were configured to be filtered/ignored: cc checkstyle javac javadoc pylint shellcheck shelldocs whitespace The following subsystems are considered long running: (runtime bigger than 1h 0m 0s) unit Specific tests: XML : Parsing Error(s): hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/test/resources/nvidia-smi-output-excerpt.xml hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/test/resources/nvidia-smi-output-missing-tags.xml hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/test/resources/nvidia-smi-output-missing-tags2.xml hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/test/resources/nvidia-smi-sample-output.xml hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/resources/fair-scheduler-invalid.xml hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/resources/yarn-site-with-invalid-allocation-file-ref.xml FindBugs : module:hadoop-yarn-project/hadoop-yarn/hadoop-yarn-applications/hadoop-yarn-applications-mawo/hadoop-yarn-applications-mawo-core Class org.apache.hadoop.applications.mawo.server.common.TaskStatus implements Cloneable but does not define or use clone method At TaskStatus.java:does not define or use clone method At TaskStatus.java:[lines 39-346] Equals method for org.apache.hadoop.applications.mawo.server.worker.WorkerId assumes the argument is of type WorkerId At WorkerId.java:the argument is of type WorkerId At WorkerId.java:[line 114] org.apache.hadoop.applications.mawo.server.worker.WorkerId.equals(Object) does not check for null argument At WorkerId.java:null argument At WorkerId.java:[lines 114-115] FindBugs : module:hadoop-cloud-storage-project/hadoop-cos Redundant nullcheck of dir, which is known to be non-null in org.apache.hadoop.fs.cosn.BufferPool.createDir(String) Redundant null check at BufferPool.java:is known to be non-null in org.apache.hadoop.fs.cosn.BufferPool.createDir(String) Redundant null check at BufferPool.java:[line 66] org.apache.hadoop.fs.cosn.CosNInputStream$ReadBuffer.getBuffer() may expose internal representation by returning CosNInputStream$ReadBuffer.buffer At CosNInputStream.java:by returning CosNInputStream$ReadBuffer.buffer At CosNInputStream.java:[line 87] Found reliance on default encoding in org.apache.hadoop.fs.cosn.CosNativeFileSystemStore.storeFile(String, File, byte[]):in org.apache.hadoop.fs.cosn.CosNativeFileSystemStore.storeFile(String, File, byte[]): new String(byte[]) At CosNativeFileSystemStore.java:[line 199] Found reliance on default encoding in org.apache.hadoop.fs.cosn.CosNativeFileSystemStore.storeFileWithRetry(String, InputStream, byte[], long):in org.apache.hadoop.fs.cosn.CosNativeFileSystemStore.storeFileWithRetry(String, InputStream, byte[], long): new String(byte[]) At CosNativeFileSystemStore.java:[line 178] org.apache.hadoop.fs.cosn.CosNativeFileSystemStore.uploadPart(File, String, String, int) may fail to clean up java.io.InputStream Obligation to clean up resource created at CosNativeFileSystemStore.java:fail to clean up java.io.InputStream Obligation to clean up resource created at CosNativeFileSystemStore.java:[line 252] is not discharged Failed junit tests : hadoop.hdfs.TestMultipleNNPortQOP hadoop.hdfs.tools.TestDFSZKFailoverController hadoop.yarn.server.webproxy.amfilter.TestAmFilter hadoop.yarn.server.webproxy.TestWebAppProxyServlet hadoop.yarn.server.timelineservice.storage.TestHBaseTimelineStorageDomain hadoop.yarn.server.timelineservice.storage.flow.TestHBaseStorageFlowRun hadoop.yarn.server.timelineservice.storage.flow.TestHBaseStorageFlowActivity hadoop.yarn.server.timelineservice.storage.TestHBaseTimelineStorageApps hadoop.yarn.server.timelineservice.storage.TestTimelineWriterHBaseDown hadoop.yarn.server.timelineservice.storage.flow.TestHBaseStorageFlowRunCompaction hadoop.yarn.server.timelineservice.reader.TestTimelineReaderWebServicesHBaseStorage hadoop.yarn.ser
Apache Hadoop qbt Report: branch2+JDK7 on Linux/x86
For more details, see https://builds.apache.org/job/hadoop-qbt-branch2-java7-linux-x86/519/ No changes -1 overall The following subsystems voted -1: asflicense findbugs hadolint pathlen unit xml The following subsystems voted -1 but were configured to be filtered/ignored: cc checkstyle javac javadoc pylint shellcheck shelldocs whitespace The following subsystems are considered long running: (runtime bigger than 1h 0m 0s) unit Specific tests: XML : Parsing Error(s): hadoop-common-project/hadoop-common/src/test/java/org/apache/hadoop/conf/empty-configuration.xml hadoop-tools/hadoop-azure/src/config/checkstyle-suppressions.xml hadoop-yarn-project/hadoop-yarn/hadoop-yarn-ui/public/crossdomain.xml hadoop-yarn-project/hadoop-yarn/hadoop-yarn-ui/src/main/webapp/public/crossdomain.xml FindBugs : module:hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-timelineservice-hbase/hadoop-yarn-server-timelineservice-hbase-client Boxed value is unboxed and then immediately reboxed in org.apache.hadoop.yarn.server.timelineservice.storage.common.ColumnRWHelper.readResultsWithTimestamps(Result, byte[], byte[], KeyConverter, ValueConverter, boolean) At ColumnRWHelper.java:then immediately reboxed in org.apache.hadoop.yarn.server.timelineservice.storage.common.ColumnRWHelper.readResultsWithTimestamps(Result, byte[], byte[], KeyConverter, ValueConverter, boolean) At ColumnRWHelper.java:[line 335] Failed junit tests : hadoop.util.TestDiskCheckerWithDiskIo hadoop.contrib.bkjournal.TestBookKeeperHACheckpoints hadoop.hdfs.server.datanode.TestDataNodeVolumeFailure hadoop.hdfs.qjournal.server.TestJournalNodeRespectsBindHostKeys hadoop.contrib.bkjournal.TestBookKeeperHACheckpoints hadoop.registry.secure.TestSecureLogins hadoop.yarn.server.timelineservice.security.TestTimelineAuthFilterForV2 hadoop.yarn.client.api.impl.TestAMRMClient cc: https://builds.apache.org/job/hadoop-qbt-branch2-java7-linux-x86/519/artifact/out/diff-compile-cc-root-jdk1.7.0_95.txt [4.0K] javac: https://builds.apache.org/job/hadoop-qbt-branch2-java7-linux-x86/519/artifact/out/diff-compile-javac-root-jdk1.7.0_95.txt [328K] cc: https://builds.apache.org/job/hadoop-qbt-branch2-java7-linux-x86/519/artifact/out/diff-compile-cc-root-jdk1.8.0_222.txt [4.0K] javac: https://builds.apache.org/job/hadoop-qbt-branch2-java7-linux-x86/519/artifact/out/diff-compile-javac-root-jdk1.8.0_222.txt [308K] checkstyle: https://builds.apache.org/job/hadoop-qbt-branch2-java7-linux-x86/519/artifact/out/diff-checkstyle-root.txt [16M] hadolint: https://builds.apache.org/job/hadoop-qbt-branch2-java7-linux-x86/519/artifact/out/diff-patch-hadolint.txt [4.0K] pathlen: https://builds.apache.org/job/hadoop-qbt-branch2-java7-linux-x86/519/artifact/out/pathlen.txt [12K] pylint: https://builds.apache.org/job/hadoop-qbt-branch2-java7-linux-x86/519/artifact/out/diff-patch-pylint.txt [24K] shellcheck: https://builds.apache.org/job/hadoop-qbt-branch2-java7-linux-x86/519/artifact/out/diff-patch-shellcheck.txt [72K] shelldocs: https://builds.apache.org/job/hadoop-qbt-branch2-java7-linux-x86/519/artifact/out/diff-patch-shelldocs.txt [8.0K] whitespace: https://builds.apache.org/job/hadoop-qbt-branch2-java7-linux-x86/519/artifact/out/whitespace-eol.txt [12M] https://builds.apache.org/job/hadoop-qbt-branch2-java7-linux-x86/519/artifact/out/whitespace-tabs.txt [1.3M] xml: https://builds.apache.org/job/hadoop-qbt-branch2-java7-linux-x86/519/artifact/out/xml.txt [12K] findbugs: https://builds.apache.org/job/hadoop-qbt-branch2-java7-linux-x86/519/artifact/out/branch-findbugs-hadoop-yarn-project_hadoop-yarn_hadoop-yarn-server_hadoop-yarn-server-timelineservice-hbase_hadoop-yarn-server-timelineservice-hbase-client-warnings.html [8.0K] javadoc: https://builds.apache.org/job/hadoop-qbt-branch2-java7-linux-x86/519/artifact/out/diff-javadoc-javadoc-root-jdk1.7.0_95.txt [16K] https://builds.apache.org/job/hadoop-qbt-branch2-java7-linux-x86/519/artifact/out/diff-javadoc-javadoc-root-jdk1.8.0_222.txt [1.1M] unit: https://builds.apache.org/job/hadoop-qbt-branch2-java7-linux-x86/519/artifact/out/patch-unit-hadoop-common-project_hadoop-common.txt [164K] https://builds.apache.org/job/hadoop-qbt-branch2-java7-linux-x86/519/artifact/out/patch-unit-hadoop-hdfs-project_hadoop-hdfs.txt [320K] https://builds.apache.org/job/hadoop-qbt-branch2-java7-linux-x86/519/artifact/out/patch-unit-hadoop-hdfs-project_hadoop-hdfs_src_contrib_bkjournal.txt [12K] https://builds.apache.org/job/hadoop-qbt-branch2-java7-linux-x86/519/artifact/out/patch-unit-hadoop-yarn-project_hadoop
[jira] [Resolved] (HADOOP-16733) Best Big data hadoop training in pune
[ https://issues.apache.org/jira/browse/HADOOP-16733?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Ayush Saxena resolved HADOOP-16733. --- Resolution: Invalid Closing as Invalid, JIRA isn’t the place for marketing!!! > Best Big data hadoop training in pune > - > > Key: HADOOP-16733 > URL: https://issues.apache.org/jira/browse/HADOOP-16733 > Project: Hadoop Common > Issue Type: New Feature >Reporter: surbhi nahta >Priority: Minor > Labels: data, hadoop, pune > > At SevenMentor, we are always striving to achieve value for our candidates. > We provide the Best Big Data Hadoop Training in Pune which includes all > recent technologies and tools. Any candidate from an IT background or having > basic knowledge of programming can enroll for this course. Freshers or > experienced candidates can join this course to understand Hadoop analytics > and development practically. -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: common-dev-unsubscr...@hadoop.apache.org For additional commands, e-mail: common-dev-h...@hadoop.apache.org
[jira] [Created] (HADOOP-16733) Best Big data hadoop training in pune
surbhi nahta created HADOOP-16733: - Summary: Best Big data hadoop training in pune Key: HADOOP-16733 URL: https://issues.apache.org/jira/browse/HADOOP-16733 Project: Hadoop Common Issue Type: New Feature Reporter: surbhi nahta At SevenMentor, we are always striving to achieve value for our candidates. We provide the [Best Big Data Hadoop Training in Pune|[https://www.sevenmentor.com/training/big-data-hadoop-training-institute-in-pune.php]] which includes all recent technologies and tools. Any candidate from an IT background or having basic knowledge of programming can enroll for this course. Freshers or experienced candidates can join this course to understand Hadoop analytics and development practically. -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: common-dev-unsubscr...@hadoop.apache.org For additional commands, e-mail: common-dev-h...@hadoop.apache.org
[jira] [Created] (HADOOP-16732) S3Guard to support encrypted DynamoDB table
Mingliang Liu created HADOOP-16732: -- Summary: S3Guard to support encrypted DynamoDB table Key: HADOOP-16732 URL: https://issues.apache.org/jira/browse/HADOOP-16732 Project: Hadoop Common Issue Type: Improvement Components: fs/s3 Reporter: Mingliang Liu S3Guard is not yet supporting [encrypted DynamoDB table|https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/encryption.tutorial.html]. We can provide an option to enable encrypted DynamoDB table so data at rest could be encrypted. S3Guard data in DynamoDB usually is not sensitive since it's the S3 namespace mirroring, but some times even this is a concern. By default it's not enabled. -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: common-dev-unsubscr...@hadoop.apache.org For additional commands, e-mail: common-dev-h...@hadoop.apache.org
