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75 lines
2.9 KiB
Python
75 lines
2.9 KiB
Python
#! /usr/bin/python
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import sys
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import time
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import mysql.connector
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from mysql.connector import Error
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HOST = 'HOST'
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DATABASE = 'DATABASE'
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USER = 'USER'
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PASSWORD = 'PASSWORD'
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AVROLOADPATH = '../../metadata-events/mxe-schemas/src/renamed/avro/com/linkedin/mxe/MetadataChangeEvent.avsc'
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KAFKATOPIC = 'MetadataChangeEvent'
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BOOTSTRAP = 'localhost:9092'
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SCHEMAREGISTRY = 'http://localhost:8081'
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def build_mysql_dataset_mce(dataset_name, schema, schema_version):
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"""
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Create the MetadataChangeEvent via dataset_name and schema.
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"""
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actor, sys_time = "urn:li:corpuser:", long(time.time())
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schema_name = {"schemaName":dataset_name,"platform":"urn:li:dataPlatform:mysql","version":schema_version,"created":{"time":sys_time,"actor":actor},
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"lastModified":{"time":sys_time,"actor":actor},"hash":"","platformSchema":{"tableSchema": schema},
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"fields":[{"fieldPath":"","description":"","nativeDataType":"string","type":{"type":{"com.linkedin.pegasus2avro.schema.StringType":{}}}}]}
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mce = {"auditHeader": None,
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"proposedSnapshot":("com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot",
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{"urn": "urn:li:dataset:(urn:li:dataPlatform:mysql,"+ dataset_name +",PROD)","aspects": [schema_name]}),
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"proposedDelta": None}
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produce_mysql_dataset_mce(mce)
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def produce_mysql_dataset_mce(mce):
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"""
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Produce MetadataChangeEvent records.
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"""
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from confluent_kafka import avro
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from confluent_kafka.avro import AvroProducer
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conf = {'bootstrap.servers': BOOTSTRAP,
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'schema.registry.url': SCHEMAREGISTRY}
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record_schema = avro.load(AVROLOADPATH)
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producer = AvroProducer(conf, default_value_schema=record_schema)
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try:
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producer.produce(topic=KAFKATOPIC, value=mce)
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producer.poll(0)
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sys.stdout.write('\n%s has been successfully produced!\n' % mce)
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except ValueError as e:
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sys.stdout.write('Message serialization failed %s' % e)
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producer.flush()
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try:
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connection = mysql.connector.connect(host=HOST,
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database=DATABASE,
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user=USER,
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password=PASSWORD)
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if connection.is_connected():
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cursor = connection.cursor()
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cursor.execute("show tables;")
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tables = cursor.fetchall()
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for table in tables:
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cursor.execute("select * from information_schema.tables where table_schema=%s and table_name=%s;", (DATABASE, table[0]))
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schema_version = int(cursor.fetchone()[5])
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dataset_name = str(DATABASE + "." + table[0])
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cursor.execute("desc " + dataset_name)
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schema = str(cursor.fetchone())
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build_mysql_dataset_mce(dataset_name, schema, schema_version)
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except Error as e:
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sys.stdout.write('Error while connecting to MySQL %s' % e)
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sys.exit(0) |