Member since
09-10-2015
93
Posts
33
Kudos Received
8
Solutions
My Accepted Solutions
Title | Views | Posted |
---|---|---|
2045 | 10-07-2016 03:37 PM | |
2048 | 10-04-2016 04:14 PM | |
2166 | 09-29-2016 03:17 PM | |
1109 | 09-28-2016 03:14 PM | |
1852 | 09-09-2016 09:41 PM |
09-27-2016
01:32 AM
1 Kudo
Our stream analytics documentation received substantial updates for HDP 2.5.0. The Apache Storm Component Guide was reorganized to focus on administration and development workflow: installing and configuring Storm, developing Storm applications, moving data into and out of Storm, and managing topologies. New content includes the following topics: Installing Storm using Ambari. Configuring Storm for a production environment. Implementing windowing computations on data streams. Implementing state management in core Storm. Configuring and using the HDFS spout to ingest data from HDFS. Monitoring and debugging Apache Storm topologies through the use of dynamic log levels, topology event logging, distributed log search, and dynamic worker profiling. The Storm application development chapter differentiates more clearly between core Storm and Trident, and the Kafka spout subsection describes performance settings and tradeoffs. The Storm Ambari view is documented in the Apache Ambari Views Guide, and the Apache Ambari Apache Storm Kerberos Configuration Guide (formerly Configuring Storm for Kerberos Over Ambari) has moved to the Security Guide. The Apache Kafka Component Guide was enhanced with the following content: Installing Kafka using Ambari. Configuring Kafka for a production environment. Sample code for a basic Kafka producer and consumer, with and without SSL enabled on the cluster. The Apache Ambari Apache Kafka Kerberos Configuration Guide (formerly Configuring Kafka for Kerberos Over Ambari) has moved to the Security Guide. If you have comments or suggestions, corrections or updates regarding our documentation, let us know on HCC. Help us continue to improve our documentation!
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09-27-2016
01:31 AM
The new Apache Zeppelin Component Guide has instructions for installing, configuring, and using the web-based Zeppelin notebook for interactive data exploration and visualization. The Apache Spark Component Guide was reorganized to focus on administration and development workflows: installing and configuring Spark, developing Spark applications, using SparkR, and tuning Spark. For HDP 2.5, the book includes the following new topics: Installing the Spark 2.0 technical preview alongside Spark 1.6.2, using Ambari. Configuring Spark for wire encryption. The Apache Solr Search Installation Guide now contains instructions for installing HDP Search using Ambari.
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09-21-2016
07:15 PM
@gkeys I confirmed that %psql is not supported at this time, and is not in plan for at least a few months.
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09-21-2016
07:13 PM
Quick update: the R interpreter has been removed from the list for now. SparkR via Livy remains on the list.
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09-14-2016
10:59 PM
1 Kudo
I don't know if this applies to your situation, but there is a Java issue that will cause that type of exception with Kerberos 1.8.1 or higher. If your error is related to this, for a renewable ticket run kinit -R after initially running
kinit. There are some additional suggestions at https://community.hortonworks.com/articles/4755/common-kerberos-errors-and-solutions.html.
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09-10-2016
11:39 PM
@gkeys, oh--interesting. As far as I know, %psql is not supported for HDP 2.5.0; I'll doublecheck.
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09-09-2016
09:41 PM
HDP 2.5 only uses %jdbc. %jdbc(hive) is fully supported (see http://docs.hortonworks.com/HDPDocuments/HDP2/HDP-2.5.0/bk_zeppelin-component-guide/content/zeppelin-with-hive.html), and I believe %jdbc(phoenix) is available as a technical preview.
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09-09-2016
06:19 PM
There's also info in our new Zeppelin component guide for HDP 2.5.0, http://docs.hortonworks.com/HDPDocuments/HDP2/HDP-2.5.0/bk_zeppelin-component-guide/content/using-interp.html
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09-08-2016
06:58 PM
& corresponding slides, especially slides 15-27: http://www.slideshare.net/HadoopSummit/apache-zeppelin-livy-bringing-multi-tenancy-to-interactive-data-analysis-63887800
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