option the broker must be configured with a listener of the form: If the SASL mechanism is GSSAPI, then the client must provide a JAAS configuration to authenticate. Created on But TLDR: it dramatically increases the overhead on the NiFi framework and destroys performance.). specify the java.security.auth.login.config system property in The GrokReader references the AvroSchemaRegistry controller service. Dynamic Properties allow the user to specify both the name and value of a property. An example of the JAAS config file would be the following: The JAAS configuration can be provided by either of below ways. For example, If we use a RecordPath of /locations/work/state with a property name of state, then we will end up with two different FlowFiles. Not the answer you're looking for? or referencing the value in another Processor that can be used for configuring where to send the data, etc. See the SSL section for a description of how to configure the SSL Context Service based on the This means that for most cases, heap usage is not a concern. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. 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). This example performs the same as the template above, and it includes extra fields added to provenance events as well as an updated ScriptedRecordSetWriter to generate valid XML. 03-28-2023 This FlowFile will consist of 3 records: John Doe, Jane Doe, and Jacob Doe. The second property is named favorite.food What it means for two records to be "like records" is determined by user-defined properties. and headers, as well as additional metadata from the Kafka record. partitionrecord-groktojson.xml. The AvroSchemaRegistry contains a "nifi-logs" schema which defines information about each record (field names, field ids, field types). The first will contain an attribute with the name state and a value of NY. Strategy') for converting Kafka records into FlowFiles. For example, we might decide that we want to route all of our incoming data to a particular Kafka topic, depending on whether or not its a large purchase. 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). This means that for most cases, heap usage is not a concern. Dynamic Properties allow the user to specify both the name and value of a property. The first will contain an attribute with the name state and a value of NY. This property is used to specify the Record Reader to use in order to parse the Kafka Record's key as a Record. Each record is then grouped with other like records and a FlowFile is created for each group of like records. What it means for two records to be like records is determined by user-defined properties. a truststore containing the public key of the certificate authority used to sign the broker's key. For a simple case, let's partition all of the records based on the state that they live in. In the list below, the names of required properties appear in bold. For example, if the data has a timestamp of 3:34 PM on December 10, 2022 we want to store it in a folder named 2022/12/10/15 (i.e., the 15th hour of the 10th day of the 12th month of 2022). The first will have an attribute named customerId with a value of 222222222222 . But what if we want to partition the data into groups based on whether or not it was a large order? Only the values that are returned by the RecordPath are held in Javas heap. In this case, you don't really need to use Extract Text. The second would contain any records that were large but did not occur before noon. The addition of these attributes makes it very easy to perform tasks such as routing, or referencing the value in another Processor that can be used for configuring where to send the data, etc. We can accomplish this in two ways. However, if Expression Language is used, the Processor is not able to validate 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. No, the complete stack trace is the following one: What version of Apache NiFi?Currently running on Apache NiFi open source 1.19.1What version of Java?Currently running on openjdk version "11.0.17" 2022-10-18 LTSHave you tried using ConsumeKafkaRecord processor instead of ConsumeKafka --> MergeContent?No I did not, but for a good reason. PartitionRecord allows us to achieve this easily by both partitioning/grouping the data by the timestamp (or in this case a portion of the timestamp, since we dont want to partition all the way down to the millisecond) and also gives us that attribute that we need to configure our PutS3 Processor, telling it the storage location. Then, instead of explicitly specifying the topic to send to as large-purchases or smaller-purchases we can use Expression Language to determine which topic it goes to. Example Input (CSV): starSystem, stellarType Wolf 359, M Epsilon Eridani, K Tau Ceti, G Groombridge 1618, K Gliese 1, M to log errors on startup and will not pull data. The second FlowFile will consist of a single record for Janet Doe and will contain an attribute named state that If any of the Kafka messages are pulled . The first FlowFile will contain records for John Doe and Jane Doe. Once one or more RecordPaths have been added, those RecordPaths are evaluated against each Record in an incoming FlowFile. This FlowFile will have no state attribute (unless such an attribute existed on the incoming FlowFile, in which case its value will be unaltered). We will have administration capabilities via Apache Ambari. Select the View Details button ("i" icon) to see the properties: With Schema Access Strategy property set to "Use 'Schema Name' Property", the reader specifies the schema expected in an attribute, which in this example is schema.name. The user is required to enter at least one user-defined property whose value is a RecordPath. The possible values for 'Key Format' are as follows: If the Key Format property is set to 'Record', an additional processor configuration property name 'Key Record Reader' is However, for any RecordPath whose value is not a scalar value (i.e., the value is of type Array, Map, or Record), no attribute will be added. Example 1 - Partition By Simple Field. Route based on the content (RouteOnContent). A RecordPath that points to a field in the Record. If unclear on how record-oriented Processors work, take a moment to read through the How to Use It Setup section of the previous post. The complementary NiFi processor for sending messages is PublishKafkaRecord_1_0. Additionally, the script may return null . Due to NiFi's isolated classloading capability, NiFi is able to support multiple versions of the Kafka client in a single NiFi instance. Expression Language is supported and will be evaluated before attempting to compile the RecordPath. These properties are available only when the FlowFile Output Strategy is set to 'Write The JsonRecordSetWriter references the same AvroSchemaRegistry. An unknown error has occurred. The user is required to enter at least one user-defined property whose value is a RecordPath. In order to use this option the broker must be configured with a listener of the form: This option provides an encrypted connection to the broker, with optional client authentication. The first will contain records for John Doe and Jane Doe We receive two FlowFiles, with the first having attributes largeOrder of false and morningPurchase of true. Connect and share knowledge within a single location that is structured and easy to search. The Record Reader and Record Writer are the only two required properties. What it means for two records to be "like records" is determined by user-defined properties. Consumes messages from Apache Kafka specifically built against the Kafka 1.0 Consumer API. But because we are sending both the largeOrder and unmatched relationships to Kafka, but different topics, we can actually simplify this. Output Strategy 'Write Value Only' (the default) emits flowfile records containing only the Kafka Created on We will rectify this as soon as possible! This Processor polls Apache Kafka In order However, there are cases When the value of the RecordPath is determined for a Record, an attribute is added to the outgoing FlowFile. We do so by looking at the name of the property to which each RecordPath belongs. Apache NiFi 1.2.0 and 1.3.0 have introduced a series of powerful new features around record processing. This FlowFile will have an attribute named "favorite.food" with a value of "spaghetti. Each dynamic property represents a RecordPath that will be evaluated against each record in an incoming FlowFile. In any case, we are going to use the original relationship from PartitionRecord to send to a separate all-purchases topic. the RecordPath before-hand and may result in having FlowFiles fail processing if the RecordPath is not valid when being However, for any RecordPath whose value is not a scalar value (i.e., the value is of type Array, Map, or Record), no attribute will be added. Each dynamic property represents a RecordPath that will be evaluated against each record in an incoming FlowFile. When the value of the RecordPath is determined for a Record, an attribute is added to the outgoing FlowFile. Specifically, we can use the ifElse expression: We can use this Expression directly in our PublishKafkaRecord processor as the topic name: By doing this, we eliminate one of our PublishKafkaRecord Processors and the RouteOnAttribute Processor. FlowFiles that are successfully partitioned will be routed to this relationship, If a FlowFile cannot be partitioned from the configured input format to the configured output format, the unchanged FlowFile will be routed to this relationship. The second property is named favorite.food and has a value of /favorites[0] to reference the first element in the favorites array. I.e., match anything for the date and only match the numbers 0011 for the hour. FlowFiles that are successfully partitioned will be routed to this relationship, If a FlowFile cannot be partitioned from the configured input format to the configured output format, the unchanged FlowFile will be routed to this relationship. The third would contain orders that were less than $1,000 but occurred before noon, while the last would contain only orders that were less than $1,000 and happened after noon. The name of the attribute is the same as the name of this property. ". NOTE: Using the PlainLoginModule will cause it be registered in the JVM's static list of Providers, making In order to make the Processor valid, at least one user-defined property must be added to the Processor. - edited The problems comes here, in PartitionRecord. And the configuration would look like this: And we can get more complex with our expressions. I will try to reproduce the flow with an AVRO format, to see if I can reproduce the error or not.How large are the FlowFiles coming out of the MergeContent processor?So directly out of Kafka, 1 FlowFile has around 600-700 rows, as text/plain and the size is 300-600KB. Each record is then grouped with other "like records" and a FlowFile is created for each group of "like records." In the above example, there are three different values for the work location. To better understand how this Processor works, we will lay out a few examples. If you chose to use ExtractText, the properties you defined are populated for each row (after the original file was split by SplitText processor). We do so Its not as powerful as QueryRecord. If will contain an attribute Sample input flowfile: MESSAGE_HEADER | A | B | C LINE|1 | ABCD | 1234 LINE|2 | DEFG | 5678 LINE|3 | HIJK | 9012 . The user is required to enter at least one user-defined property whose value is a RecordPath. Perhaps the most common reason is in order to route data according to a value in the record. And once weve grouped the data, we get a FlowFile attribute added to the FlowFile that provides the value that was used to group the data. Each record is then grouped with other "like records" and a FlowFile is created for each group of "like records." This method allows one to have multiple consumers with different user credentials or gives flexibility to consume from multiple kafka clusters. where Kafka processors using the PlainLoginModule will cause HDFS processors with Keberos to no longer work. Here is a template specific to the input you provided in your question. The name of the property becomes the name of the FlowFile attribute that gets added to each FlowFile. The RecordPath language allows us to use many different functions and operators to evaluate the data. Additionally, all Is this possible to convert csv into Multiple parts in NiFi possible with existing processors? 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. The number of records in an outgoing FlowFile, The MIME Type that the configured Record Writer indicates is appropriate, All partitioned FlowFiles produced from the same parent FlowFile will have the same randomly generated UUID added for this attribute, A one-up number that indicates the ordering of the partitioned FlowFiles that were created from a single parent FlowFile, The number of partitioned FlowFiles generated from the parent FlowFile. We deliver an Enterprise Data Cloud for any data, anywhere, from the Edge to AI, matchesRegex(/timestamp, '.*? When a message is received 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. If the broker specifies ssl.client.auth=required then the client will be required to present a certificate. This tutorial was tested using the following environment and components: Import the template: Because we know that all records in a given output FlowFile have the same value for the fields that are specified by the RecordPath, an attribute is added for each field. How a top-ranked engineering school reimagined CS curriculum (Ep. Similarly, Jacob Doe has the same home address but a different value for the favorite food. used. Kafka and deliver it to the desired destination. Using PartitionRecord (GrokReader/JSONWriter) to Parse and Group Log Files (Apache NiFi 1.2+), Convert CSV to JSON, Avro, XML using ConvertRecord (Apache NiFi 1.2+), Installing a local Hortonworks Registry to use with Apache NiFi, Running SQL on FlowFiles using QueryRecord Processor (Apache NiFi 1.2+), CDP Public Cloud: April 2023 Release Summary, Cloudera Machine Learning launches "Add Data" feature to simplify data ingestion, Simplify Data Access with Custom Connection Support in CML, CDP Public Cloud: March 2023 Release Summary. Jacob Doe has the same home address but a different value for the favorite food. 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. The number of records in an outgoing FlowFile, The MIME Type that the configured Record Writer indicates is appropriate, All partitioned FlowFiles produced from the same parent FlowFile will have the same randomly generated UUID added for this attribute, A one-up number that indicates the ordering of the partitioned FlowFiles that were created from a single parent FlowFile, The number of partitioned FlowFiles generated from the parent FlowFile. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. We can then add a property named morningPurchase with this value: And this produces two FlowFiles. The Security Protocol property allows the user to specify the protocol for communicating 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. This FlowFile will have an attribute named state with a value of NY. The value of the attribute is the same as the value of the field in the Record that the RecordPath points to. If the SASL mechanism is SCRAM, then client must provide a JAAS configuration to authenticate, but (Failure to parse the key bytes as UTF-8 will result in the record being routed to the The second FlowFile will contain the two records for Jacob Doe and Janet Doe, because the RecordPath will evaluate A RecordPath that points to a field in the Record. But by promoting a value from a record field into an attribute, it also allows you to use the data in your records to configure Processors (such as PublishKafkaRecord) through Expression Language. 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 name given to the dynamic property is the name of the attribute that will be used to denote the value of the associted RecordPath. The result will be that we will have two outbound FlowFiles. What's the cheapest way to buy out a sibling's share of our parents house if I have no cash and want to pay less than the appraised value? As a result, this means that we can promote those values to FlowFile Attributes. In the list below, the names of required properties appear in bold. The "JsonRecordSetWriter" controller service determines the data's schema and writes that data into JSON. ConvertRecord, SplitRecord, UpdateRecord, QueryRecord, Specifies the Controller Service to use for reading incoming data, Specifies the Controller Service to use for writing out the records. Node 2 may be assigned partitions 3, 4, and 5. The result will be that we will have two outbound FlowFiles. So if we reuse the example from earlier, lets consider that we have purchase order data. For example, we can use a JSON Reader and an Avro Writer so that we read incoming JSON and write the results as Avro. I have nothing else in the logs. When the Processor is What "benchmarks" means in "what are benchmarks for?". Tags: Firstly, we can use RouteOnAttribute in order to route to the appropriate PublishKafkaRecord processor: And our RouteOnAttribute Processor is configured simply as: This makes use of the largeOrder attribute added by PartitionRecord. For the sake of these examples, lets assume that our input data is JSON formatted and looks like this: For a simple case, lets partition all of the records based on the state that they live in. add user attribute 'sasl.jaas.config' in the processor configurations. Asking for help, clarification, or responding to other answers. The other reason for using this Processor is to group the data together for storage somewhere. For instance, we want to partition the data based on whether or not the total is more than $1,000. Any other properties (not in bold) are considered optional. depending on the SASL mechanism (GSSAPI or PLAIN). a truststore as described above. Has anybody encountered such and error and if so, what was the cause and how did you manage to solve it? This FlowFile will have no state attribute (unless such an attribute existed on the incoming FlowFile, Recently, I made the case for why QueryRecord is one of my favorite in the vast and growing arsenal of NiFi Processors. We now add two properties to the PartitionRecord processor. Configure/enable controller services RecordReader as GrokReader Record writer as your desired format Created I defined a property called time, which extracts the value from a field in our File. Once all records in an incoming FlowFile have been partitioned, the original FlowFile is routed to this relationship. The value of the attribute is the same as the value of the field in the Record that the RecordPath points to. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. There have already been a couple of great blog posts introducing this topic, such as Record-Oriented Data with NiFi and Real-Time SQL on Event Streams.This post will focus on giving an overview of the record-related components and how they work together, along with an example of using an . But sometimes doing so would really split the data up into a single Record per FlowFile. for data using KafkaConsumer API available with Kafka 2.6. that are configured. Now lets say that we want to partition records based on multiple different fields. 08-17-2019 Find centralized, trusted content and collaborate around the technologies you use most. I have the following requirement: Split a single NiFi flowfile into multiple flowfiles, eventually to insert the contents (after extracting the contents from the flowfile) of each of the flowfiles as a separate row in a Hive table. When a gnoll vampire assumes its hyena form, do its HP change? 08-28-2017 There are two main reasons for using the PartitionRecord Processor. Consider a scenario where a single Kafka topic has 8 partitions and the consuming This FlowFile will have an attribute named state with a value of NY. in which case its value will be unaltered). it has already pulled from Kafka to the destination system. Start the PartitionRecord processor. The name of the attribute is the same as the name of this property. This option provides an unsecured connection to the broker, with no client authentication and no encryption. The complementary NiFi processor for fetching messages is ConsumeKafkaRecord_2_6. This option uses SASL with an SSL/TLS transport layer to authenticate to the broker. See Additional Details on the Usage page for more information and examples. A RecordPath that points to a field in the Record. 15 minutes to complete. I have defined two Controller Services, one Record Reader (CSVReader, with a pre-defined working schema) and and Record Writer (ParquetRecordSetWriter, with the same exact schema as in the CSV reader). The Schema Registry property is set to the AvroSchemaRegistry Controller Service. The data will remain queued in Kafka until Node 3 is restarted. Looking at the properties: this processor routes the flowfiles to different connections depending on the log_level (INFO, WARN, ERROR). record, partition, recordpath, rpath, segment, split, group, bin, organize. 02:27 AM. The files coming out of Kafka require some "data manipulation" before using PartitionRecord, where I have defined the CSVReader and the ParquetRecordSetWriter. If multiple Topics are to be consumed and have a different number of (0\d|10|11)\:. This property is used to specify how the Kafka Record's key should be written out to the FlowFile. I have CSV File which having below contents, The Apache NiFi 1.0.0 release contains the following Kafka processors: GetKafka & PutKafka using the 0.8 client. Expression Language is supported and will be evaluated before To define what it means for two records to be alike, the Processor To better understand how this Processor works, we will lay out a few examples. In such cases, SplitRecord may be useful to split a large FlowFile into smaller FlowFiles before partitioning. The first will contain an attribute with the name state and a value of NY. The second has largeOrder of true and morningPurchase of false. In this case, the SSL Context Service must also specify a keystore containing a client key, in addition to A RecordPath that points to a field in the Record. So, if we have data representing a series of purchase order line items, we might want to group together data based on the customerId field. The first property is named home and has a value of /locations/home. 02:35 AM. What does 'They're at four. The third FlowFile will consist of a single record: Janet Doe. There is currently a known issue 'Record' converts the Kafka Record Key bytes into a deserialized NiFi record, using the associated More details about these controller services can be found below. 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. partitions.nifi-01=0, 3, 6, 9, partitions.nifi-02=1, 4, 7, 10, and partitions.nifi-03=2, 5, 8, 11. The second FlowFile will consist of a single record: Jacob Doe. the JAAS configuration must use Kafka's ScramLoginModule. 11:29 AM. In order to use this Because we know that all records in a given output FlowFile have the same value for the fields that are specified by the RecordPath, an attribute is added for each field. Thank you for your feedback and comments. For most use cases, this is desirable. Select the lightning bolt icons for both of these services. However, because the second RecordPath pointed to a Record field, no "home" attribute will be added. specify the java.security.auth.login.config system property in [NiFi][PartitionRecord] When using Partition Recor CDP Public Cloud: April 2023 Release Summary, Cloudera Machine Learning launches "Add Data" feature to simplify data ingestion, Simplify Data Access with Custom Connection Support in CML, CDP Public Cloud: March 2023 Release Summary. substringBefore (substringAfter ( /prod_desc, '=' ),'}') Update record processor configs: Sample Record Reader for update record processor: Avro Schema with prod_desc column in it The records themselves are written immediately to the FlowFile content. By In order for Record A and Record B to be considered like records, both of them must have the same value for all RecordPaths that are configured. Which gives us a configuration like this: So what will this produce for us as output? Now, of course, in our example, we only have two top-level records in our FlowFile, so we will not receive four outbound FlowFiles. record, partition, recordpath, rpath, segment, split, group, bin, organize. Once all records in an incoming FlowFile have been partitioned, the original FlowFile is routed to this relationship. 'Key Record Reader' controller service. The first property is named home and has a value of /locations/home. Pretty much every record/order would get its own FlowFile because these values are rather unique.
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