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11-09-2016
02:56 PM
1 Kudo
@Vinod Chhabria What you are trying to do definitely works. What version of NiFi/HDF are you using? Is this a standalone NiFi or a cluster?
When you drag the connection from ConsumeKafka to ReplaceText are you seeing any component get highlighted green including the ConsumeKafka processor itself? If so, without letting go of the mouse button drag you cursor back over the ConsumeKafka and then back to the ReplaceText. Did the highlighting of the ConsumeKafka go away? Did ReplaceText now highlight? Thanks, Matt
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11-09-2016
02:23 PM
Is this a standalone NiFi install or a NifI cluster?
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11-09-2016
02:22 PM
1 Kudo
@Vinod Chhabria There is nothing that would prevent that connection from being allowed. Try dragging the connection again. If it still does not highlight green try the following: Try making a copy of your replaceTEXT processor and see if you can connect to the copy. Right click on replace TEXT and select "copy" then right click on empty graph space and click "paste". Matt
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11-09-2016
01:01 PM
1 Kudo
@Vinod Chhabria Could you elaborate on what you mean by "I am unable to connect ConsumeKafka to ReplaceText." Are you seeing an error when trying to do so?
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11-08-2016
08:03 PM
1 Kudo
@Sunile Manjee You are absolutely correct, HDF does not require that all the HDF services are installed. All the services are installed through RPMs. When you run through the Ambari Wizard you will be asked to select the services you wish to "Deploy". By default they are all checked except for log search which is currently Technical Preview (TP). Simply uncheck all the services you do not want to install. If you uncheck something that is a dependency of NiFi, the wizard will let you know. Thanks, Matt
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11-08-2016
07:31 PM
@Jobin George no, Ambari based HDF deployments force an external ZK. That ZK is used by the other component services available in the HDF stack as well.
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11-08-2016
06:17 PM
@Sunile Manjee As far as best practices goes, we do not recommend installing ZK on the same servers/nodes as NiFi. NiFi dataflows can be very CPU, disk, and/or memory intensive. Any of these can interfere with ZK --> NiFi comms/performance. This can result in NiFi nodes dropping from cluster, new NiFi cluster coordinators being assigned, and/or new primary nodes being elected frequently. While it does work, i would keep away from co-location in production for sure. Thank, Matt
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11-08-2016
04:39 PM
1 Kudo
@Sunile Manjee
There is no reason you can't use another ZK (Including the one provided in HDP). While there is currently no support for installing NiFi within an HDP Ambari stack, you can point your NiFi installation via its config at the ZK quorum in your HDP stack. If you install NiFi via the HDF Ambari stack, it does have a dependency that forces the installation of ZK in the HDF stack and configures your NiFi service to use it. You can however alter the NiFi configs to use your other ZK. If you install HDF NiFi via command line and not with Ambari, you can configure it to use your HDP ZK quorum out the gate. Thanks, Matt
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11-08-2016
04:37 PM
@Sunile Manjee The "nifi.cluster.is.node" parameter is used to specify whether the NiFi installation is a standalone installation (false) or a node in a NiFi cluster (true). When set to true, things like ZK are required as "cluster" wide state management will not take affect and is stored in ZK. With true NiFi also requires a ZK for the NiFi Cluster (even if you have only 1 node) The NiFi node will send heartbeats to ZK and a primary node and cluster coordinator will be elected. By setting to false, NiFi does not need a ZK for all those things above.
[11:24 AM] Matthew Clarke: State management is only local as well. You will get better performance out of a Standalone NIFi (false) then you will out of a 1 node cluster (true with only one node) because you reduce the overhead by not having the ZK piece. Thanks, Matt
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11-07-2016
01:36 PM
2 Kudos
@Ronak Jangir The HDFS client does not currently support the LzoCodec and the core-site.xml file you are using includes it. It should work after you remove “com.hadoop.compression.lzo.LzoCodec,com.hadoop.compression.lzo.LzopCodec” from the “io.compression.codecs” property in the “core-site.xml” file you have referenced in your putHDFS processor. Thanks, Matt
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