Pomoc techniczna w społeczności platformy Azure
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Forum MSDN
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Sharing files between two clusters.
Forum: Azure HDInsight
ERROR while creating hdinsight
Forum: Azure HDInsight
[Announcement] Microsoft Q&A to replace all English Azure MSDN forums
Forum: Azure HDInsight
How to install custom HBase Coprocessor.
Forum: Azure HDInsight
16
Głosy
Forum: Azure HDInsight
11
Głosy
Can not create anymore a hdinsight cluster
Forum: Azure HDInsight
10
Głosy
Installaling HDINSIGHT on Multi Nodes
Forum: Azure HDInsight
7
Głosy
HDInsight vs. Virtualized Hadoop Cluster on Azure
Forum: Azure HDInsight
35
Odpowiedzi
HDInsight Emulator not getting installed.
Forum: Azure HDInsight
32
Odpowiedzi
Error 1067: The process terminated unexpectedly when trying to start Apache Hadoop services
Forum: Azure HDInsight
29
Odpowiedzi
where is the Microsoft HDInsight Dashboard?
Forum: Azure HDInsight
22
Odpowiedzi
Web Platform Installer not finding HDInsight
Forum: Azure HDInsight
StackOverflow
Odpowiedzi społeczności na pytania dotyczące programowania
10
Głosy
ServerFault
Odpowiedzi społeczności na pytania administratorów systemu/sieci
Opinia dotycząca platformy Azure
Masz pomysł lub sugestię w związku ze swoimi doświadczeniami z platformą Azure?
default conda environment update
As we know, Python 2.7 stop it's support on Jan 1st, 2020. But anaconda installed in HDinsight is still in old version. Base Environment use python 2.7. When using HDInsight Spark with Azure Machine Learning, it will always come with an error first to update conda. That is a bad experience.
Documentation mentions that Kafka 2.3 is a recommended option on HDI 4.0.
https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-version-release"We recommend using Spark 2.4 & Kafka 2.3 and above in HDInsight 4.0."How can this be set up as there is no option to configure Kafka 2.3 while cluster creation?
Kill a cluster in "Applying Changes"
There is no way to delete a cluster if it is still in "applying changes" phase.When automating cluster creation I need to iterate, change things and break things. If I need to repeat an experiment, I have to wait for (a minimum) of 30 minutes to repeat an experiment on the HDInsight cluster, just because is in Applying changes.Feels like loosing control over my resources and incurs on extra cost and time.
Il est oou
1217
Głosy
The possibility to start and stop a cluster. Now is only available delete the cluster and I do not want any charge unnecessarily if I don't use the cluster for several days.
180
Głosy
We have several scenarios that could leverage HBase. It would be great to have it added to the base HDInsight distribution.
174
Głosy
Support remote Spark job submission
The support for Spark on an HDInsight cluster loses its value if users are not able to run Spark jobs remotely without having to establish a Remote Desktop Connection. It would be nice to be able to submit Spark jobs from my computer like MapReduce jobs.
155
Głosy
Add MapReduce equivalent (low cost intensive parallelized CPU)
It would be really nice if Azure was featuring a MapReduce service to offload really intensive CPU operations.Even better if MapReduce is made 100% .NET managed as it would allow processing power to be much more "burstable" (not need to redeploy entire VMs, only the .NET package).
Kill a cluster in "Applying Changes"
There is no way to delete a cluster if it is still in "applying changes" phase.When automating cluster creation I need to iterate, change things and break things. If I need to repeat an experiment, I have to wait for (a minimum) of 30 minutes to repeat an experiment on the HDInsight cluster, just because is in Applying changes.Feels like loosing control over my resources and incurs on extra cost and time.
User love hive and user being user like to dump large data out from their hive connection, at the moment seems gateway that "build-in" into HDI cluster are limiting this capability.Please allow us to scale up the gateway node to bigger spec to support more concurrent and larger dataset.
default conda environment update
As we know, Python 2.7 stop it's support on Jan 1st, 2020. But anaconda installed in HDinsight is still in old version. Base Environment use python 2.7. When using HDInsight Spark with Azure Machine Learning, it will always come with an error first to update conda. That is a bad experience.
Documentation mentions that Kafka 2.3 is a recommended option on HDI 4.0.
https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-version-release"We recommend using Spark 2.4 & Kafka 2.3 and above in HDInsight 4.0."How can this be set up as there is no option to configure Kafka 2.3 while cluster creation?