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08-03-2016
08:25 PM
Can you please confirm the value of your dfs.namenode.rpc-address in hdfs-site file? make sure you configure that port in port forward.
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07-29-2016
07:48 PM
1 Kudo
@Sujith Without knowing much of the business drivers, I would say you can highlight HDF feature and functions. Apache NiFi provides web based dataflow management tool with out of box Processors which makes the data transfer data source agnostic as well as the templates can accelerate the development efforts.
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07-29-2016
07:37 PM
I got it resolved, the issue was related to permissions on the bucket by the certian user.
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07-29-2016
07:28 PM
I am getting following exception. Not sure whats missing. 2016-07-29 15:13:26,526 WARN [Timer-Driven Process Thread-4] o.a.nifi.processors.aws.s3.PutS3Object PutS3Object[id=542c64fc-f99f-40f6-ae03-a962a9ccb834] AccessDenied checking S3 Multipart Upload list for mphdf: Access Denied (Service: Amazon S3; Status Code: 403; Error Code: AccessDenied; Request ID: 9EEC5D94EE3F1E35) ** The configured user does not have the s3:ListBucketMultipartUploads permission for this bucket, S3 ageoff cannot occur without this permission. Next ageoff check time is being advanced by interval to prevent checking on every upload **
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Apache NiFi
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Cloudera DataFlow (CDF)
07-28-2016
03:41 PM
5 Kudos
HDF Overview Overview Hortonworks DataFlow (HDF) powered by Apache NiFi, Kafka and
Storm, collects, curates, analyzes and delivers real-time data from the IoAT to
data stores both on-premises and in the cloud. This is the quick installation
guide to install Apache NiFi on AWS EC2 instance. Please refer this document as
supplement guide to official Hortonworks HDF documentation. Prerequisites Before you install Apache NiFi on AWS, make sure You have AWS account. (https://aws.amazon.com/) Amazon key pair to access EC2 instance to run
HDP platform. (http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-key-pairs.html#having-ec2-create-your-key-pair) Installation Steps. The screenshots in this section detail the setup and
configuration of Apache NiFi on EC2 instance. Refer the NiFi
Admin Guide for the System
requirements. This document covers installation on a Redhat linux (64 bit) EC2
instance. Login to AWS and launch the EC2 instance and OS of your
choice. (Please make sure the selected OS is supported by NiFi). The current
exercise uses the Red Hat Enterprise Linux 7.2 image (HDF EC2 Instance). Make sure you keep the security private key safe. Under Network and Security configuration, open
the Http ports (e.g. 8081 & 8082 shown below) to access the NiFi web
interface and for the site to site protocol to exchange data between multiple
NiFi instances. Download the HDF from HDF Download Page. Either you can download it directly on your EC2 instance or
you can upload the zip file to the EC2 instance from local using scp. e.g. scp -i HDF.pem HDF-1.2.0.1-1.zip ec2-user@<public-dns-hostname>:/home/ec2-user where HDF.pem is private key. Make sure you install the latest java and unzip
on EC2 sudo
yum install unzip sudo
yum install java Decompress/Unzip zip into desired installation
directory. Make desired edits in nifi.properties file under
<install_dir>/nifi/conf. e.g. update the site-to-site properties to
include the following nifi.remote.input.socket.host=<public_dns_hostname> nifi.remote.input.socket.port=8082 nifi.remote.input.secure=false
From the <install_dir>/nifi/bin directory
execute the following commands by ./nifi.sh <command>
start: starts NiFi in the background
stop: stops NiFi that is running in the
background status: provides the current status of NiFi run: runs NiFi in the foreground and waits for
a Ctrl-C to initiate shutdown of NiFi install: installs NiFi as a service that can
then be controlled via
service
nifi start service
nifi stop service
nifi status The following screenshots
displays the NiFi running on EC2 instance with the sample dataflow.
Benefits
Running a NiFi instance in AWS provides an easy to use, flexible
and cost effective dataflow management solution in cloud. NiFi is a reliable, secure and scalable solution which gets
additional benefits of AWS’ mature infrastructure solution. Using the NiFi site-to-site protocol eliminates the need to run
software in the DMZ when exchanging data between on-prem and cloud. Document References NiFi System Admin Guide: http://dev.hortonworks.com.s3.amazonaws.com/HDPDocuments/HDF1/HDF-1-trunk/bk_AdminGuide/content/ch_administration_guide.html
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07-28-2016
01:54 PM
https://community.hortonworks.com/articles/47778/hdf-installation-on-ec2.html
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07-27-2016
07:51 PM
2 Kudos
Can you please confirm the hostname is correctly setup on the node. Please validate that against your core-site.xml and hdfs-site.xml files as well.
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07-27-2016
07:10 PM
2 Kudos
I have shared article on HDF installation on EC2, should be visible on HCC soon. Hope that helps.
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07-27-2016
11:36 AM
3 Kudos
Hortonworks Cloud Overview Overview Hortonworks Cloud (Hortonworks Connected Data cloud) is
system for launching and managing a data lake on AWS. You can easily launch HDP clusters for
analyzing and processing data. With Apache Hadoop. Use this document as
supplement guide to existing official guide by Hortonworks. The doc will guide
you in running HDP platform in your AWS environment. Prerequisites Before you launch hortonworks cloud controller make sure
You have AWS account. (https://aws.amazon.com/) Amazon key pair to access EC2 instance to run
HDP platform. (http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-key-pairs.html#having-ec2-create-your-key-pair) Hortonworks cloud supported in following regions for now. Us-east-1, us-west-2, eu-central-1, eu-west-1 and
ap-northeast-1. Architecture Overview Cloud Controller is the primary component of hortonworks
cloud. Cloud controller manages one or
more HDP clusters on AWS. It runs on EC2
instance and used for launching and managing cluster. The master and worker
nodes runs on multiple EC2 instances. Different cluster type templates are
provided to accelerate the HDP platform setup on AWS. Currently two HDP
versions are available.
HDP 2.4 HDP 2.5 (Technical Preview). During cluster creation you can select the HDP version and
cluster types. Cloud
Controller The screenshots in this section covers the detail setup and
configuration after launching the cloud controller to create the AWS resources.
You can launch the cloud controller at http://hortonworks.github.io/hdp-aws/launch/ Setup & Configuration Details. hc1-at-115206-am.png hc2-at-120519-pm.png screen-shot-2016-07-26-at-120243-pm.png screen-shot-2016-07-26-at-120546-pm.png screen-shot-2016-07-26-at-120743-pm.png Once the stack creation is complete you can access the cloud
controller to create HDP cluster. Accessing
Cloud UI. Using the CloudURL you can access the cloud controller
instance. Check the screenshot below to get your CloudURL. screen-shot-2016-07-26-at-10434-pm.png screen-shot-2016-07-26-at-10512-pm.png screen-shot-2016-07-26-at-10544-pm.png You have provided with cluster templates to accelerate the
HDP cluster configuration. You can select the HDP version and cluster type. screen-shot-2016-07-26-at-10654-pm.png screen-shot-2016-07-26-at-10821-pm.png screen-shot-2016-07-26-at-10907-pm.png It normally takes
less than 30 minutes to setup 3 node HDP cluster. screen-shot-2016-07-26-at-10956-pm.png Validate all the
steps for any errors and you can launch the
Ambari web UI to verify the cluster setup. screen-shot-2016-07-26-at-30332-pm.png screen-shot-2016-07-26-at-13405-pm.png On AWS dashboard it
will provide the details of all the running EC2 instances. screen-shot-2016-07-26-at-13527-pm.png Post
cluster setup Actions. The cluster action
provides you the option to
Resize the cluster Clone the cluster. screen-shot-2016-07-26-at-31618-pm.pngscreen-shot-2016-07-26-at-31339-pm.png Benefits Hortonworks cloud provides greater agility through faster HDP
cluster deployment in AWS. It provides elastic scalability on demand You can launch the enterprise ready HDP platform in less than
hour. Document References http://hortonworks.github.io/hdp-aws/ If you run into AWS related resource limitation, please
validate the following doc. (elastic IP address limit etc.) http://docs.aws.amazon.com/AmazonVPC/latest/UserGuide/VPC_Appendix_Limits.html you can submit request to increasing the limit by submit
a request
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07-25-2016
01:37 PM
1 Kudo
NiFi currently doesn't support CDC from transaction logs, but you can utilize DB triggers (hitting the target table frequently to get the change records) and publish the change db records to kafaka.
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