For the sake of these examples, let's assume that our input The name of the attribute is the same as the name of this property. If we use a RecordPath of /locations/work/state with a property name of state, then we will end up with two different FlowFiles. Select the View Details button ("i" icon) next to the "JsonRecordSetWriter" controller service to see its properties: Schema Write Strategy is set to "Set 'schema.name' Attribute", Schema Access Strategy property is set to "Use 'Schema Name' Property" and Schema Registry is set to AvroSchemaRegistry. But two of them are the most important. NiFi - Lesson 07 - NiFi Split Record Processor - YouTube A RecordPath that points to a field in the Record. And the configuration would look like this: And we can get more complex with our expressions. The complementary NiFi processor for fetching messages is ConsumeKafkaRecord_2_6. The value of the property must be a valid RecordPath. Its contents will contain: The second FlowFile will have an attribute named customerId with a value of 333333333333 and the contents: Now, it can be super helpful to be able to partition data based purely on some value in the data. This FlowFile will have no state attribute (unless such an attribute existed on the incoming FlowFile, The next step in the flow is an UpdateAttribute processor which adds the schema.name attribute with the value of "nifi-logs" to the flowfile: Start the processor, and view the attributes of one of the flowfiles to confirm this: The next processor, PartitionRecord, separates the incoming flowfiles into groups of like records by evaluating a user-supplied records path against each record. Example The following script will partition the input on the value of the "stellarType" field. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. Not the answer you're looking for? The PartitionRecord offers a handful of properties that can be used to configure it. ConsumeKafka ----> MergeContent (as I have plenty of small files I prefer to merge them in bigger files for further processing) ----> ReplaceText (I have some empty spaces and I want them removed) ---> PartitionRecord. (0\d|10|11)\:. This means that for most cases, heap usage is not a concern. The name of the property becomes the name of the FlowFile attribute that gets added to each FlowFile. This FlowFile will have an attribute named state with a value of NY. NOTE: Using the PlainLoginModule will cause it be registered in the JVM's static list of Providers, making This FlowFile will have an attribute named favorite.food with a value of chocolate. The third FlowFile will consist of a single record: Janet Doe. it has already pulled from Kafka to the destination system. The problems comes here, in PartitionRecord. value of the /geo/country/name field. PartitionRecord - Apache NiFi The second property is named favorite.food Now let's say that we want to partition records based on multiple different fields. Perhaps the most common reason is in order to route data according to a value in the record. Like QueryRecord, PartitionRecord is a record-oriented Processor. Co-creator, Apache NiFi; Principal Software Engineer/Tech Lead, Cloudera Configure/enable controller services RecordReader as GrokReader Record writer as your desired format The value of the property is a RecordPath expression that NiFi will evaluate against each Record. The value of the attribute is the same as the value of the field in the Record that the RecordPath points to. cases, SplitRecord may be useful to split a large FlowFile into smaller FlowFiles before partitioning. Two records are considered alike if they have the same value for all configured RecordPaths. Kafka and deliver it to the desired destination. it visible to components in other NARs that may access the providers. a truststore containing the public key of the certificate authority used to sign the broker's key. All the controller services should be enabled at this point: Here is a quick overview of the main flow: 2. The simplest use case is to partition data based on the value of some field. 'Key Record Reader' controller service. The name of the attribute is the same as the name of this property. Dynamic Properties allow the user to specify both the name and value of a property. Additionally, if partitions that are assigned The flow should appear as follows on your NiFi canvas: Select the gear icon from the Operate Palette: This opens the NiFi Flow Configuration window. By Only the values that are returned by the RecordPath are held in Javas heap. What it means for two records to be "like records" is determined by user-defined properties. Some of the high-level capabilities and objectives of Apache NiFi include:Web-based user interfaceSeamless experience between design, control, feedback, and monitoringHighly configurableLoss tolerant vs guaranteed deliveryLow latency vs high throughputDynamic prioritizationFlow can be modified at runtimeBack pressureData ProvenanceTrack dataflow from beginning to endDesigned for extensionBuild your own processors and moreEnables rapid development and effective testingSecureSSL, SSH, HTTPS, encrypted content, etcMulti-tenant authorization and internal authorization/policy management Here is the Paypal account to support this channel financially:https://paypal.me/VIKASKumarJHA Here is the Paypal account to support this channel financially:https://paypal.me/VIKASKumarJHA Here is the Paypal account to support this channel financially:https://paypal.me/VIKASKumarJHA Here is the Paypal account to support this channel financially:https://paypal.me/VIKASKumarJHA Here is the Paypal account to support this channel financially:https://paypal.me/VIKASKumarJHA Here is the Paypal account to support this channel financially:https://paypal.me/VIKASKumarJHA Consider a scenario where a single Kafka topic has 8 partitions and the consuming PartitionRecord Description: Receives Record-oriented data (i.e., data that can be read by the configured Record Reader) and evaluates one or more RecordPaths against the each record in the incoming FlowFile. data is JSON formatted and looks like this: For a simple case, let's partition all of the records based on the state that they live in. The first will contain an attribute with the name For example, lets consider that we added both the of the above properties to our PartitionRecord Processor: In this configuration, each FlowFile could be split into four outgoing FlowFiles. Right click on the connection between the TailFile Processor and the UpdateAttribute Processor. Once stopped, it will begin to error until all partitions have been assigned. We can accomplish this in two ways. See Additional Details on the Usage page for more information and examples. Once all records in an incoming FlowFile have been partitioned, the original FlowFile is routed to this relationship. I will give it a try with ConsumeKafkaRecord using CSVReader and CSVRecordSetWriter, to see if I still encounter the same issue.Do you have issue only when using the ParquetRecordSetWriter?Unfortunately I can only test with parquet as this file format is somehow mandatory for the current project. @MattWho,@steven-matison@SAMSAL@ckumar, can anyone please help our super user@cotopaul with their query in this post? The other reason for using this Processor is to group the data together for storage somewhere. Node 2 may be assigned partitions 3, 4, and 5. This enables additional decision-making by downstream processors in your flow and enables handling of records where The contents of the FlowFile are expected to be record-oriented data that can be read by the configured Record Reader. And we definitely, absolutely, unquestionably want to avoid splitting one FlowFile into a separate FlowFile per record! The "GrokReader" controller service parses the log data in Grok format and determines the data's schema. (Failure to parse the key bytes as UTF-8 will result in the record being routed to the However, if Expression Language is used, the Processor is not able to validate the RecordPath before-hand and may result in having FlowFiles fail processing if the RecordPath is not valid when being used. I.e., match anything for the date and only match the numbers 0011 for the hour. We can add a property named state with a value of /locations/home/state. immediately to the FlowFile content. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. Note that no attribute will be added if the value returned for the RecordPath is null or is not a scalar value (i.e., the value is an Array, Map, or Record). 04:14 AM The second has largeOrder of true and morningPurchase of false. Note that no attribute will be added if the value returned for the RecordPath is null or is not a scalar value (i.e., the value is an Array, Map, or Record). The first will have an attribute named customerId with a value of 222222222222 . The first FlowFile will contain records for John Doe and Jane Doe. Each record is then grouped with other "like records". However, if the RecordPath points to a large Record field that is different for each record in a FlowFile, then heap usage may be an important consideration. We can add a property named state with a value of /locations/home/state. The first FlowFile will contain records for John Doe and Jane Doe.