Skip to main content

Running Flink SQL Against Kafka Using a Schema Registry Catalog

[FLaNK]:  Running Apache Flink SQL Against Kafka Using a Schema Registry Catalog

There are a few things you can do when you are sending data from Apache NiFi to Apache Kafka to maximize it's availability to Flink SQL queries through the catalogs.



Producing Kafka Messages

Make sure you set AvroRecordSetWriter and set a Message Key Field.

A great way to work with Flink SQL is to connect to the Cloudera Schema Registry.   It let's you define your schema once them use it in Apache NiFi, Apache Kafka Connect, Apache Spark, Java Microservices 


Make sure you setup your HDFS directory for use by Flink which keeps history and other important information in HDFS.

HADOOP_USER_NAME=hdfs hdfs dfs -mkdir /user/root

HADOOP_USER_NAME=hdfs hdfs dfs -chown root:root /user/root


configuration: yarn-session
- name: registry
type: cloudera-registry
# Registry Client standard properties http://edge2ai-1.dim.local:7788/api/v1
# Registry Client SSL properties
# Kafka Connector properties edge2ai-1.dim.local:9092
connector.startup-mode: earliest-offset
- name: kudu
type: kudu
kudu.masters: edge2ai-1.dim.local:7051


flink-sql-client embedded -e sql-env.yaml

We now have access to Kudu and Schema Registry catalogs of tables.   This let's use start querying, joining and filtering any of these multiple tables without having to recreate or redefine them.

SELECT * FROM events


Popular posts from this blog

Ingesting Drone Data From DJII Ryze Tello Drones Part 1 - Setup and Practice

Ingesting Drone Data From DJII Ryze Tello Drones Part 1 - Setup and Practice In Part 1, we will setup our drone, our communication environment, capture the data and do initial analysis. We will eventually grab live video stream for object detection, real-time flight control and real-time data ingest of photos, videos and sensor readings. We will have Apache NiFi react to live situations facing the drone and have it issue flight commands via UDP. In this initial section, we will control the drone with Python which can be triggered by NiFi. Apache NiFi will ingest log data that is stored as CSV files on a NiFi node connected to the drone's WiFi. This will eventually move to a dedicated embedded device running MiniFi. This is a small personal drone with less than 13 minutes of flight time per battery. This is not a commercial drone, but gives you an idea of the what you can do with drones. Drone Live Communications for Sensor Readings and Drone Control You must connect t

Advanced XML Processing with Apache NiFi 1.9.1

Advanced XML Processing with Apache NiFi 1.9.1 With the latest version of Apache NiFi, you can now directly convert XML to JSON or Apache AVRO, CSV or any other format supported by RecordWriters.   This is a great advancement.  To make it even easier, you don't even need to know the schema before hand.   There is a built-in option to Infer Schema. The results of an RSS (XML) feed converted to JSON and displayed in a slack channel. Besides just RSS feeds, we can grab regular XML data including XML data that is wrapped in a Zip file (or even in a Zipfile in an email, SFTP server or Google Docs). Get the Hourly Weather Observation for the United States Decompress That Zip  Unpack That Zip into Files One ZIP becomes many XML files of data. An example XML record from a NOAA weather station. Converted to JSON Automagically Let's Read Those Records With A Query and Convert the results to JSON Records

New Features of Apache NiFi 1.13.2

 New Features of Apache NiFi 1.13.2 Check it out : Download today : Release Note s: Migration : New Features ListenFTP UpdateHiveTable - Hive DDL changes -Hive Update Schema ie Data Drift ie Hive Schema Migration!!!! SampleRecord - different sampling approaches to records ( Interval Sampling,  Probabilistic Sampling,  Reservoir Sampling) CDC Updates Kudu updates AMQP and MQTT Integration Upgrades ConsumeMQTT - readers and writers added HTTP access to NiFi by default is now configured to accept connections to only.  If you want to allow broader access for some reason for HTTP and you understand the security implications you can still control that as always by changing the '' pr