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04-12-2017
17
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6
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1
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Title | Views | Posted |
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1330 | 06-18-2017 04:16 AM |
10-06-2017
08:51 AM
@RANKESH NATH Architecture wise it is not a good option as spark is distributed processing framework (running on multiple nodes) and spark writing to MYSQL on a single node will create performance bottleneck as MYSQL is not distributed.If you want to make full use of Sparks distributed processing capability then it is advisable to use either distributed file system or distributed database.
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07-07-2017
10:29 PM
Admin Server is restarted automatically after 'ambari-admin-password-reset' command is fired and password is provided to make password change effective so no need of 'ambari-server restart'. I feel step 3 is not mandatory but can be followed.
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06-22-2017
03:01 AM
@Wynner But what if there are multiple sources for get so doesn't primary node become a bottleneck? Do we have solution or pattern for the same?
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06-20-2017
04:59 AM
I am new to NiFi, as per my understanding primary node is used to run isolated processes. eg. if we have a process to get data from ftp dir so it is better to keep it as primary node so that there is no load on ftp server. For a scenario where in I have multiple get processors for e.g. ftp and other to get data from a db so won’t the primary node’s performance be a bottleneck since we can not have more than 1 primary node. Below are my queries : 1. Do we have any NiFi flow design patterns for the above scenario. 2. If we do not make get processors as primary node there is a possibility of fetching duplicate data please clarify.
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Apache NiFi
06-19-2017
08:58 AM
@Artem Ervits This is a great article Do we have performance comparison of HIVE on HDFS vs HIVE on HBase. Is it advisable to come up with Hive on Hbase in production for large datasets?
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06-18-2017
04:16 AM
2 Kudos
@Ankit Jain ExtractCCDAAttributes has been introduced in NiFi 1.3.0. Extracts information from an Consolidated CDA formatted FlowFile and provides individual attributes as FlowFile attributes.
Please refer https://nifi.apache.org/docs.html
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