Debezium Sink Connector for MySQL - mysql

Is there a sink connector for debezium to MySQL Database ?
I'm able to connect to source and can watch the topic with schema and all the changes on the source database. You can have a look at sample schema topic for one table as below. Please help me understand how to proceed from here. Why I'm converting every change to Json format if the CDC queries are available on the source DB.
{"schema":{"type":"struct","fields":[{"type":"int32","optional":false,"field":"ID"}],"optional":false,"name":"SourceDBChandra.world_x.city.Key"},"payload":{"ID":5}} {"schema":{"type":"struct","fields":[{"type":"struct","fields":[{"type":"int32","optional":false,"field":"ID"},{"type":"string","optional":false,"default":"","field":"Name"},{"type":"string","optional":false,"default":"","field":"CountryCode"},{"type":"string","optional":false,"default":"","field":"District"},{"type":"string","optional":true,"name":"io.debezium.data.Json","version":1,"field":"Info"}],"optional":true,"name":"SourceDBChandra.world_x.city.Value","field":"before"},{"type":"struct","fields":[{"type":"int32","optional":false,"field":"ID"},{"type":"string","optional":false,"default":"","field":"Name"},{"type":"string","optional":false,"default":"","field":"CountryCode"},{"type":"string","optional":false,"default":"","field":"District"},{"type":"string","optional":true,"name":"io.debezium.data.Json","version":1,"field":"Info"}],"optional":true,"name":"SourceDBChandra.world_x.city.Value","field":"after"},{"type":"struct","fields":[{"type":"string","optional":false,"field":"version"},{"type":"string","optional":false,"field":"connector"},{"type":"string","optional":false,"field":"name"},{"type":"int64","optional":false,"field":"ts_ms"},{"type":"string","optional":true,"name":"io.debezium.data.Enum","version":1,"parameters":{"allowed":"true,last,false,incremental"},"default":"false","field":"snapshot"},{"type":"string","optional":false,"field":"db"},{"type":"string","optional":true,"field":"sequence"},{"type":"string","optional":true,"field":"table"},{"type":"int64","optional":false,"field":"server_id"},{"type":"string","optional":true,"field":"gtid"},{"type":"string","optional":false,"field":"file"},{"type":"int64","optional":false,"field":"pos"},{"type":"int32","optional":false,"field":"row"},{"type":"int64","optional":true,"field":"thread"},{"type":"string","optional":true,"field":"query"}],"optional":false,"name":"io.debezium.connector.mysql.Source","field":"source"},{"type":"string","optional":false,"field":"op"},{"type":"int64","optional":true,"field":"ts_ms"},{"type":"struct","fields":[{"type":"string","optional":false,"field":"id"},{"type":"int64","optional":false,"field":"total_order"},{"type":"int64","optional":false,"field":"data_collection_order"}],"optional":true,"field":"transaction"}],"optional":false,"name":"SourceDBChandra.world_x.city.Envelope"},"payload":{"before":{"ID":5,"Name":"Amsterdam","CountryCode":"NLA","District":"Noord-Holland","Info":"{"Population":731200}"},"after":{"ID":5,"Name":"Amsterdam","CountryCode":"NLD","District":"Noord-Holland","Info":"{"Population":731200}"},"source":{"version":"1.9.5.Final","connector":"mysql","name":"SourceDBChandra","ts_ms":1658210588000,"snapshot":"false","db":"world_x","sequence":null,"table":"city","server_id":1,"gtid":null,"file":"binlog.000002","pos":958398,"row":0,"thread":49,"query":null},"op":"u","ts_ms":1658210588985,"transaction":null}}

Related

How to connect hive to mysql using kafka connectors(i.e. source and sink)?

I have to make Kafka source and sink connectors for connecting HIVE to MYSQL.
I am not able to find anything on above question. I have looked the confluent website also.
Hive has a JDBC Driver, therefore, try using the JDBC Source and Sink connector, for both.
Alternatively, Spark can easily read and write to both locations; Kafka is not necessary.

How to connect MySQL to Kafka cluster

I am trying to learn kafka technology and I want to setup a small pipeline in my pc which will take data from mysql and parse them into a kafka cluster.
For a small research that I made, I saw that the best way for this is KAFKA CONNECTOR.
Can someone please help with tips or information about how to implement the above logic?
The easiest way would be to use the JDBC Source connector to pull data from your MySQL server to Kafka topic for further processing. Please find the link to the Confluent JDBC source connector. Please view the various configuration the connector offers to better align your data for subsequent processing.

How to feed hadoop periodically

My company is generating around 6 million of records per day and I have seen hadoop is a good solution to handle big amounts of data. I found how to load data from mysql but it is exporting full database, Is there a way to keep sync data between my operational mysql DB and Hadoop?
One of the best solution you can use is Debezium. Debezium is built on top of Apache Kafka Connect API and provides connectors that monitor specific databases.
It records all row-level changes within each database table in a change event stream, and applications simply read these streams to see the change events in the same order in which they occurred.
The Architecture will something like this:
MySQL --> Debezium(Kafka Connect Plugin) --> Kafka Topic --> HDFS Sink
You can find more information and documentation about Debezium Here.
Furthermore, Apache NiFi has a processor named CaptureChangeMySQL, You can design NiFi flow like below to do this:
MySQL --> CaptureChangeMySQL(Processor) --> PutHDFS(Processor)
You can read more about CaptureChangeMySQL Here.
There are multiple solutions available which you may need to choose as per your architectural requirement or deployment setup.
Debezium :
Debezium is a distributed platform deployed via Apache Kafka Connect that can help in continuously monitoring the various databases of your system and let the applications stream every row-level change in the same order they were committed to the database. It turns your existing databases into event streams, whereby the applications can see and accordingly respond to each row-level change in the databases.
Kafka Connect is a framework and runtime for implementing and operating source connectors such as Debezium, which ingest data into Kafka and sink connectors, which propagate data from Kafka topics into other systems.
For the case of MySQL, the Debezium's MySQL Connector can help in monitoring and recording all of the row-level changes in the databases on a MySQL server . All of the events for each table are recorded in a separate Kafka topic and the client applications can read the Kafka topics that correspond to the database tables it’s interested in following, and react to every row-level event it sees in those topics as per the requirement.
Once the data of interest is available in topics, the Kafka Connect HDFS Sink connector can be used to export the data from Kafka topics to HDFS files in a variety of formats as per your use case or requirement and integrates with Hive and when it is enabled. This connector helps application in periodically polling data from Apache Kafka and writing them to HDFS. This connector also automatically creates an external Hive partitioned table for each Kafka topic and updates the table according to the available data in HDFS.
Maxwell's daemon :
Maxwell's daemon is a CDC (Change Data Capture) application that reads MySQL binlogs (events from MyQSQL database) and writes row updates as JSON to Kafka or other streaming platforms . Once the data of interest is available in kafka topics, the Kafka Connect HDFS Sink connector can be used to export the data from Kafka topics to HDFS files.
NiFi :
Apache NiFi helps in automating the flow of data between systems. Apache NiFi CDC (Change Data Capture) flow also uses MySQL bin logs(via CaptureChangeMySQL) to create a copy of a table and ensures that it is in sync with row-level changes to the source. This inturn can be operated upon by NiFi PutHDFS for writing the data to HDFS.

Real time update of Data(CDC approach) from mysql to HDFS or Hive table

I have installed CDH 5.16 in a RHEL 7 server and installed kafka separately.
I am trying to load data from mysql to HDFS or Hive table on real time basis(CDC approach). That is if some data is updated or added in mysql table ,it should be immediately reflected in HDFS or Hive table.
Approach i have come up with:
Use kafka-connect to connect to mysql server and push table data to a kafka topic
and write a consumer code in spark-stream which reads the data from topic
and store it in HDFS.
One problem with this approach is, hive table on top of these files should
be refreshed periodically for the update to be reflected.
I also came to know of Kafka-Hive integration in HDP 3.1. Unfortunately i am using Hadoop 2.6.0. So cant leverage this feature.
Is there any other better way achieve this?
I am using Hadoop 2.6.0 and CDH 5.16.1

How kafka connector works for postgresql and mysql database

I'm following the quick start tutorials from here quick-start-kafka-connect
This tutorial shows how to stream the mysql database table changes into kafka topic.
The only part is download everything and just add /tmp/kafka-connect-jdbc-source.json file with some config properties and start
How does this work in background ?
1 : Does it create connection with database and monitor tables for specific intervals of time? OR
2 : Does it uses replication log? (i don't know how this works)
3 : Is this same mechanism for mysql and postgresql?
Debezium monitors the OpLog.
Kafka Connect JDBC by Confluent (which you've linked to) can use a time-interval, and that configuration is shared by all JDBC-compliant connections, MySQL and Postgres included.
For incremental query modes that use timestamps, the source connector uses a configuration timestamp.delay.interval.ms ...
replication log? (i don't know how this works)
You can find the Debezium guide here, but this mechanism differs for Mongo, Postgres, MySQL, MSSQL, Oracle, etc.