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Output Destination as we will capture the flow file in the next processor,Ĭontent type could be JSON or CSV in our case it will be CSV. The Files for Avro Conversion Make sure Flowfile-attribute is selected for Schema of CSV files like Batch Size(How Many CSVs per pull) Pre-Configure Pullingĭata from CSV Simply the only thing you need to do here isĬonfigure your source directory, there are some handy parameters to check based

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Streaming For more on the Avro Conversion, refer to the great write up from Dyer on how to convert CSV to Avro, as it explains in greated details how the flow is working. Is where the data is being inserted into Hive WeĪre optionally using PutFile to capture any un-successful CSVs during the Is where the actual conversion is happening and then forwarded to HiveStreaming HiveStreaming To pre-configure how the file will look like and to set any custom headers if needed. Processor to read the data directly from the source folder InferAvroSchema NiFi in a high level, we need to create the following

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NiFi Template (Optional, if you are feeling lazy) if you dont want to follow the steps below, you can easily download the template that contains the whole thing from here hive-streaming-olympics.xml (easily start NiFi and import it) if you have done the previous part, just make sure to change the directories in the processors and the parameters in every processor to match your configuration. The table is created successfully we may move on to the NiFi part. TBLPROPERTIES('transactional'='true') Once OLYMPICS(CITY STRING,EDITION INT,SPORT STRING,SUB_SPORT STRING,ATHLETE STRING,COUNTRY STRING,GENDER STRING,EVENT STRING,EVENT_GENDER STRING,MEDAL STRING) Have to create a table in Hive to match the schema as following: CREATE EXTERNAL TABLE Lets move on the the table creation, From the downloaded olympics data olympics.zip lets examine the header of any of the file City,Edition,Sport,sub_sport,Athlete,country,Gender,Event,Event_gender,Medal In order for Hive Streaming to work the following has to be in place: Table is stored as ORC Transactional Property is set to “True” The Table is Bucketed We will Using the hive user: Hive-user>hadoop fs -mkdir /user/hive/olympics Now Problem, in order to do this connect to the sandbox and create the directory We will have to create an empty external table, we need to make sure that theįolder do exist for this table so we can store the data there without a now we lets work on the table and the streaming To Ambari on and make sure Hive is started. start the Sandbox from Vmware or Virtual Box and go NiFi is running fine, give it a minute to load. Using the command: /nifi/bin/nifi.sh start you may open a new browser page and go to to make sure NiFi and the Sandbox Once NiFi is downloaded, uncompress and start it nifi/conf/nifi.properties and change the port no to 8089 as follows: =8089 Once NiFi is downloaded, uncompress it and go to Have problems starting NiFi if you are running the sandbox and NiFi on the same NiFi Port (Optional) Since Ambari and NiFi both uses port 8080, you will The Olympics CSV data from the attachment list below.

Sandbox 2.4 or higher, you can download it from here Download Successfully you need to download the Following: NiFiġ.0 or higher, you can download it from here HDP

Pre-requisites In order to run this tutorial On it right away without a single line of coding to set up the streaming. We can stream data from CSV format into Hive tables directly and start working Introduction Apache NiFi 1.0 was recently releasedĪnd being integrated into Hortonworks Data Flow (HDF) that will be release very