A library for querying MySQL Binlog with Apache Spark structure streaming, for Spark SQL , DataFrames and MLSQL.

This library requires Spark 2.4+ (tested).

You can link against this library in your program at the following coordinates:

groupId: tech.mlsql
artifactId: spark-binlog_2.11
version: 0.1.0

1. MySQL BinlogFormat should be set as "Row"
2. Version 0.1.0 only support insert/update/delete events. The other events will ignore.

DataFrame:

val spark: SparkSession = ???

val df = spark.readStream.
format("org.apache.spark.sql.mlsql.sources.MLSQLBinLogDataSource").
option("host","127.0.0.1").
option("port","3306").
option("userName","xxxxx").
option("password","xxxxx").
option("databaseNamePattern","xxxxx").
option("tableNamePattern","xxxxx").
load()

df.writeStream.format("delta")....

MLSQL:

set streamName="binlog";

load binlog.`` where 
host="127.0.0.1"
and port="3306"
and userName="xxx"
and password="xxxx"
and bingLogNamePrefix="mysql-bin"
and startingOffsets="40000000000004"
and databaseNamePattern="mlsql_console"
and tableNamePattern="script_file"
as table1;

MLSQL Example