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this command return error:
CREATE SOURCE CONNECTOR accidents_bronze_source_connector WITH (
'connector.class' = 'io.debezium.connector.mongodb.MongoDbConnector',
'mongodb.hosts' = 'mongo:27017',
'mongodb.name' = 'replica-set',
'mongodb.authsource' = 'admin',
'mongodb.user' = 'mongo',
'mongodb.password' = 'mongo',
'collection.whitelist' = 'accidents.accidents_bronze',
'transforms' = 'unwrap',
'transforms.unwrap.type' = 'io.debezium.connector.mongodb.transforms.ExtractNewDocumentState',
'transforms.unwrap.drop.tombstones' = 'false',
'transforms.unwrap.delete.handling.mode' = 'drop',
'transforms.unwrap.operation.header' = 'true',
'errors.tolerance' = 'all'
);
error:
Validation error: {"error_code":500,"message":"org.apache.kafka.connect.errors.ConnectException: Failed to find any class that implements Connector and which name matches io.debezium.connector.mongodb.MongoDbConnector, available connectors are: PluginDesc{klass=class org.apache.kafka.connect.tools.MockSinkConnector, name='org.apache.kafka.connect.tools.MockSinkConnector', version='7.3.0-cc-docker-ksql.111-33-ccs', encodedVersion=7.3.0-cc-docker-ksql.111-33-ccs, type=sink, typeName='sink', location='classpath'}, PluginDesc{klass=class org.apache.kafka.connect.tools.MockSourceConnector, name='org.apache.kafka.connect.tools.MockSourceConnector', version='7.3.0-cc-docker-ksql.111-33-ccs', encodedVersion=7.3.0-cc-docker-ksql.111-33-ccs, type=source, typeName='source', location='classpath'}, PluginDesc{klass=class org.apache.kafka.connect.tools.SchemaSourceConnector, name='org.apache.kafka.connect.tools.SchemaSourceConnector', version='7.3.0-cc-docker-ksql.111-33-ccs', encodedVersion=7.3.0-cc-docker-ksql.111-33-ccs, type=source, typeName='source', location='classpath'}, PluginDesc{klass=class org.apache.kafka.connect.tools.VerifiableSinkConnector, name='org.apache.kafka.connect.tools.VerifiableSinkConnector', version='7.3.0-cc-docker-ksql.111-33-ccs', encodedVersion=7.3.0-cc-docker-ksql.111-33-ccs, type=sink, typeName='sink', location='classpath'}, PluginDesc{klass=class org.apache.kafka.connect.tools.VerifiableSourceConnector, name='org.apache.kafka.connect.tools.VerifiableSourceConnector', version='7.3.0-cc-docker-ksql.111-33-ccs', encodedVersion=7.3.0-cc-docker-ksql.111-33-ccs, type=source, typeName='source', location='classpath'}"}
Hi,
Your posts are very helpful for us who are trying to setup spark on local env. Thank you.
I'm now trying to connect to gcs but got an error java.lang.RuntimeException: java.lang.ClassNotFoundException: Class com.google.cloud.hadoop.fs.gcs.GoogleHadoopFileSystem not found
May reference git repo: data_pipeline_spark_gcs_gbq
I'm running it on Jupyter. What could be missing?
Regards,
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