Hi Rex,
you still forgot
'debezium-json.schema-include' = true
Please reread my mail.
On Mon, Aug 31, 2020 at 7:55 PM Rex Fenley <r...@remind101.com> wrote:
> Thanks for the input, though I've certainly included a schema as is
> reflected earlier in this thread. Including here again
> ...
> tableEnv.executeSql("""
> CREATE TABLE topic_addresses (
> -- schema is totally the same to the MySQL "addresses" table
> id INT,
> customer_id INT,
> street STRING,
> city STRING,
> state STRING,
> zip STRING,
> type STRING,
> PRIMARY KEY (id) NOT ENFORCED
> ) WITH (
> 'connector' = 'kafka',
> 'topic' = 'dbserver1.inventory.addresses',
> 'properties.bootstrap.servers' = 'flink-jdbc-test_kafka_1:9092',
> 'properties.group.id' = 'testGroup',
> 'format' = 'debezium-json' -- using debezium-json as the format
> )
> """)
>
> val table = tableEnv.from("topic_addresses").select($"*")
> ...
>
> On Mon, Aug 31, 2020 at 2:39 AM Arvid Heise <ar...@ververica.com> wrote:
>
>> Hi Rex,
>>
>> the connector expects a value without a schema, but the message contains
>> a schema. You can tell Flink that the schema is included as written in the
>> documentation [1].
>>
>> CREATE TABLE topic_products (
>> -- schema is totally the same to the MySQL "products" table
>> id BIGINT,
>> name STRING,
>> description STRING,
>> weight DECIMAL(10, 2)) WITH (
>> 'connector' = 'kafka',
>> 'topic' = 'products_binlog',
>> 'properties.bootstrap.servers' = 'localhost:9092',
>> 'properties.group.id' = 'testGroup',
>> 'format' = 'debezium-json',
>> 'debezium-json.schema-include' = true)
>>
>> @Jark Wu <imj...@gmail.com> , it would be probably good to make the
>> connector more robust and catch these types of misconfigurations.
>>
>> [1]
>> https://ci.apache.org/projects/flink/flink-docs-release-1.11/dev/table/connectors/formats/debezium.html#how-to-use-debezium-format
>>
>> On Fri, Aug 28, 2020 at 11:56 PM Rex Fenley <r...@remind101.com> wrote:
>>
>>> Awesome, so that took me a step further. When running i'm receiving an
>>> error however. FYI, my docker-compose file is based on the Debezium mysql
>>> tutorial which can be found here
>>> https://debezium.io/documentation/reference/1.2/tutorial.html
>>>
>>> Part of the stack trace:
>>>
>>> flink-jobmanager_1 | Caused by: java.io.IOException: Corrupt
>>> Debezium JSON message
>>> '{"schema":{"type":"struct","fields":[{"type":"struct","fields":[{"type":"int32","optional":false,"field":"id"},{"type":"int32","optional":false,"field":"customer_id"},{"type":"string","optional":false,"field":"street"},{"type":"string","optional":false,"field":"city"},{"type":"string","optional":false,"field":"state"},{"type":"string","optional":false,"field":"zip"},{"type":"string","optional":false,"name":"io.debezium.data.Enum","version":1,"parameters":{"allowed":"SHIPPING,BILLING,LIVING"},"field":"type"}],"optional":true,"name":"dbserver1.inventory.addresses.Value","field":"before"},{"type":"struct","fields":[{"type":"int32","optional":false,"field":"id"},{"type":"int32","optional":false,"field":"customer_id"},{"type":"string","optional":false,"field":"street"},{"type":"string","optional":false,"field":"city"},{"type":"string","optional":false,"field":"state"},{"type":"string","optional":false,"field":"zip"},{"type":"string","optional":false,"name":"io.debezium.data.Enum","version":1,"parameters":{"allowed":"SHIPPING,BILLING,LIVING"},"field":"type"}],"optional":true,"name":"dbserver1.inventory.addresses.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"},"default":"false","field":"snapshot"},{"type":"string","optional":false,"field":"db"},{"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":"dbserver1.inventory.addresses.Envelope"},"payload":{"before":null,"after":{"id":18,"customer_id":1004,"street":"111
>>> cool street","city":"Big
>>> City","state":"California","zip":"90000","type":"BILLING"},"source":{"version":"1.2.1.Final","connector":"mysql","name":"dbserver1","ts_ms":1598651432000,"snapshot":"false","db":"inventory","table":"addresses","server_id":223344,"gtid":null,"file":"mysql-bin.000010","pos":369,"row":0,"thread":5,"query":null},"op":"c","ts_ms":1598651432407,"transaction":null}}'.
>>> flink-jobmanager_1 | at
>>> org.apache.flink.formats.json.debezium.DebeziumJsonDeserializationSchema.deserialize(DebeziumJsonDeserializationSchema.java:136)
>>> ~[flink-json-1.11.1.jar:1.11.1]
>>> flink-jobmanager_1 | at
>>> org.apache.flink.streaming.connectors.kafka.internals.KafkaDeserializationSchemaWrapper.deserialize(KafkaDeserializationSchemaWrapper.java:56)
>>> ~[?:?]
>>> flink-jobmanager_1 | at
>>> org.apache.flink.streaming.connectors.kafka.internal.KafkaFetcher.partitionConsumerRecordsHandler(KafkaFetcher.java:181)
>>> ~[?:?]
>>> flink-jobmanager_1 | at
>>> org.apache.flink.streaming.connectors.kafka.internal.KafkaFetcher.runFetchLoop(KafkaFetcher.java:141)
>>> ~[?:?]
>>> flink-jobmanager_1 | at
>>> org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase.run(FlinkKafkaConsumerBase.java:755)
>>> ~[?:?]
>>> flink-jobmanager_1 | at
>>> org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:100)
>>> ~[flink-dist_2.12-1.11.1.jar:1.11.1]
>>> flink-jobmanager_1 | at
>>> org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:63)
>>> ~[flink-dist_2.12-1.11.1.jar:1.11.1]
>>> flink-jobmanager_1 | at
>>> org.apache.flink.streaming.runtime.tasks.SourceStreamTask$LegacySourceFunctionThread.run(SourceStreamTask.java:201)
>>> ~[flink-dist_2.12-1.11.1.jar:1.11.1]
>>> flink-jobmanager_1 | Caused by: java.lang.NullPointerException
>>> flink-jobmanager_1 | at
>>> org.apache.flink.formats.json.debezium.DebeziumJsonDeserializationSchema.deserialize(DebeziumJsonDeserializationSchema.java:115)
>>> ~[flink-json-1.11.1.jar:1.11.1]
>>> flink-jobmanager_1 | at
>>> org.apache.flink.streaming.connectors.kafka.internals.KafkaDeserializationSchemaWrapper.deserialize(KafkaDeserializationSchemaWrapper.java:56)
>>> ~[?:?]
>>> flink-jobmanager_1 | at
>>> org.apache.flink.streaming.connectors.kafka.internal.KafkaFetcher.partitionConsumerRecordsHandler(KafkaFetcher.java:181)
>>> ~[?:?]
>>> flink-jobmanager_1 | at
>>> org.apache.flink.streaming.connectors.kafka.internal.KafkaFetcher.runFetchLoop(KafkaFetcher.java:141)
>>> ~[?:?]
>>> flink-jobmanager_1 | at
>>> org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase.run(FlinkKafkaConsumerBase.java:755)
>>> ~[?:?]
>>> flink-jobmanager_1 | at
>>> org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:100)
>>> ~[flink-dist_2.12-1.11.1.jar:1.11.1]
>>> flink-jobmanager_1 | at
>>> org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:63)
>>> ~[flink-dist_2.12-1.11.1.jar:1.11.1]
>>> flink-jobmanager_1 | at
>>> org.apache.flink.streaming.runtime.tasks.SourceStreamTask$LegacySourceFunctionThread.run(SourceStreamTask.java:201)
>>> ~[flink-dist_2.12-1.11.1.jar:1.11.1]
>>>
>>> On Thu, Aug 27, 2020 at 8:12 PM Jark Wu <imj...@gmail.com> wrote:
>>>
>>>> Hi,
>>>>
>>>> This is a known issue in 1.11.0, and has been fixed in 1.11.1.
>>>>
>>>>
>>>> Best,
>>>> Jark
>>>>
>>>> On Fri, 28 Aug 2020 at 06:52, Rex Fenley <r...@remind101.com> wrote:
>>>>
>>>>> Hi again!
>>>>>
>>>>> I'm tested out locally in docker on Flink 1.11 first to get my
>>>>> bearings before downgrading to 1.10 and figuring out how to replace the
>>>>> Debezium connector. However, I'm getting the following error
>>>>> ```
>>>>> Provided trait [BEFORE_AND_AFTER] can't satisfy required trait
>>>>> [ONLY_UPDATE_AFTER]. This is a bug in planner, please file an issue.
>>>>> ```
>>>>>
>>>>> Any suggestions for me to fix this?
>>>>>
>>>>> code:
>>>>>
>>>>> val bsEnv = StreamExecutionEnvironment.getExecutionEnvironment
>>>>> val blinkStreamSettings =
>>>>> EnvironmentSettings
>>>>> .newInstance()
>>>>> .useBlinkPlanner()
>>>>> .inStreamingMode()
>>>>> .build()
>>>>> val tableEnv = StreamTableEnvironment.create(bsEnv,
>>>>> blinkStreamSettings)
>>>>>
>>>>> // Table from Debezium mysql example docker:
>>>>> //
>>>>> +-------------+-------------------------------------+------+-----+---------+----------------+
>>>>> // | Field | Type | Null | Key | Default | Extra |
>>>>> //
>>>>> +-------------+-------------------------------------+------+-----+---------+----------------+
>>>>> // | id | int(11) | NO | PRI | NULL | auto_increment |
>>>>> // | customer_id | int(11) | NO | MUL | NULL | |
>>>>> // | street | varchar(255) | NO | | NULL | |
>>>>> // | city | varchar(255) | NO | | NULL | |
>>>>> // | state | varchar(255) | NO | | NULL | |
>>>>> // | zip | varchar(255) | NO | | NULL | |
>>>>> // | type | enum('SHIPPING','BILLING','LIVING') | NO | | NULL | |
>>>>> //
>>>>> +-------------+-------------------------------------+------+-----+---------+----------------+
>>>>>
>>>>> tableEnv.executeSql("""
>>>>> CREATE TABLE topic_addresses (
>>>>> -- schema is totally the same to the MySQL "addresses" table
>>>>> id INT,
>>>>> customer_id INT,
>>>>> street STRING,
>>>>> city STRING,
>>>>> state STRING,
>>>>> zip STRING,
>>>>> type STRING,
>>>>> PRIMARY KEY (id) NOT ENFORCED
>>>>> ) WITH (
>>>>> 'connector' = 'kafka',
>>>>> 'topic' = 'dbserver1.inventory.addresses',
>>>>> 'properties.bootstrap.servers' = 'flink-jdbc-test_kafka_1:9092',
>>>>> 'properties.group.id' = 'testGroup',
>>>>> 'format' = 'debezium-json' -- using debezium-json as the format
>>>>> )
>>>>> """)
>>>>>
>>>>> val table = tableEnv.from("topic_addresses").select($"*")
>>>>>
>>>>> // Defining a PK automatically puts it in Upsert mode, which we want.
>>>>> // TODO: type should be a keyword, is that acceptable by the DDL?
>>>>> tableEnv.executeSql("""
>>>>> CREATE TABLE ESAddresses (
>>>>> id INT,
>>>>> customer_id INT,
>>>>> street STRING,
>>>>> city STRING,
>>>>> state STRING,
>>>>> zip STRING,
>>>>> type STRING,
>>>>> PRIMARY KEY (id) NOT ENFORCED
>>>>> ) WITH (
>>>>> 'connector' = 'elasticsearch-7',
>>>>> 'hosts' = 'http://flink-jdbc-test_graph-elasticsearch_1:9200',
>>>>> 'index' = 'flinkaddresses',
>>>>> 'format' = 'json'
>>>>> )
>>>>> """)
>>>>>
>>>>> table.executeInsert("ESAddresses").print()
>>>>>
>>>>> Thanks!
>>>>>
>>>>> On Thu, Aug 27, 2020 at 11:53 AM Rex Fenley <r...@remind101.com> wrote:
>>>>>
>>>>>> Thanks!
>>>>>>
>>>>>> On Thu, Aug 27, 2020 at 5:33 AM Jark Wu <imj...@gmail.com> wrote:
>>>>>>
>>>>>>> Hi,
>>>>>>>
>>>>>>> Regarding the performance difference, the proposed way will have one
>>>>>>> more stateful operator (deduplication) than the native 1.11 cdc support.
>>>>>>> The overhead of the deduplication operator is just similar to a
>>>>>>> simple group by aggregate (max on each non-key column).
>>>>>>>
>>>>>>> Best,
>>>>>>> Jark
>>>>>>>
>>>>>>> On Tue, 25 Aug 2020 at 02:21, Rex Fenley <r...@remind101.com> wrote:
>>>>>>>
>>>>>>>> Thank you so much for the help!
>>>>>>>>
>>>>>>>> On Mon, Aug 24, 2020 at 4:08 AM Marta Paes Moreira <
>>>>>>>> ma...@ververica.com> wrote:
>>>>>>>>
>>>>>>>>> Yes — you'll get the full row in the payload; and you can also
>>>>>>>>> access the change operation, which might be useful in your case.
>>>>>>>>>
>>>>>>>>> About performance, I'm summoning Kurt and @Jark Wu
>>>>>>>>> <j...@apache.org> to the thread, who will be able to give you a
>>>>>>>>> more complete answer and likely also some optimization tips for your
>>>>>>>>> specific use case.
>>>>>>>>>
>>>>>>>>> Marta
>>>>>>>>>
>>>>>>>>> On Fri, Aug 21, 2020 at 8:55 PM Rex Fenley <r...@remind101.com>
>>>>>>>>> wrote:
>>>>>>>>>
>>>>>>>>>> Yup! This definitely helps and makes sense.
>>>>>>>>>>
>>>>>>>>>> The 'after' payload comes with all data from the row right? So
>>>>>>>>>> essentially inserts and updates I can insert/replace data by pk and
>>>>>>>>>> null
>>>>>>>>>> values I just delete by pk, and then I can build out the rest of my
>>>>>>>>>> joins
>>>>>>>>>> like normal.
>>>>>>>>>>
>>>>>>>>>> Are there any performance implications of doing it this way that
>>>>>>>>>> is different from the out-of-the-box 1.11 solution?
>>>>>>>>>>
>>>>>>>>>> On Fri, Aug 21, 2020 at 2:28 AM Marta Paes Moreira <
>>>>>>>>>> ma...@ververica.com> wrote:
>>>>>>>>>>
>>>>>>>>>>> Hi, Rex.
>>>>>>>>>>>
>>>>>>>>>>> Part of what enabled CDC support in Flink 1.11 was the
>>>>>>>>>>> refactoring of the table source interfaces (FLIP-95 [1]), and the
>>>>>>>>>>> new
>>>>>>>>>>> ScanTableSource [2], which allows to emit bounded/unbounded streams
>>>>>>>>>>> with
>>>>>>>>>>> insert, update and delete rows.
>>>>>>>>>>>
>>>>>>>>>>> In theory, you could consume data generated with Debezium as
>>>>>>>>>>> regular JSON-encoded events before Flink 1.11 — there just wasn't a
>>>>>>>>>>> convenient way to really treat it as "changelog". As a workaround,
>>>>>>>>>>> what you
>>>>>>>>>>> can do in Flink 1.10 is process these messages as JSON and extract
>>>>>>>>>>> the
>>>>>>>>>>> "after" field from the payload, and then apply de-duplication [3]
>>>>>>>>>>> to keep
>>>>>>>>>>> only the last row.
>>>>>>>>>>>
>>>>>>>>>>> The DDL for your source table would look something like:
>>>>>>>>>>>
>>>>>>>>>>> CREATE TABLE tablename ( *... * after ROW(`field1` DATATYPE,
>>>>>>>>>>> `field2` DATATYPE, ...) ) WITH ( 'connector' = 'kafka', 'format'
>>>>>>>>>>> = 'json', ... );
>>>>>>>>>>> Hope this helps!
>>>>>>>>>>>
>>>>>>>>>>> Marta
>>>>>>>>>>>
>>>>>>>>>>> [1]
>>>>>>>>>>> https://cwiki.apache.org/confluence/display/FLINK/FLIP-95%3A+New+TableSource+and+TableSink+interfaces
>>>>>>>>>>> [2]
>>>>>>>>>>> https://ci.apache.org/projects/flink/flink-docs-release-1.11/api/java/org/apache/flink/table/connector/source/ScanTableSource.html
>>>>>>>>>>> [3]
>>>>>>>>>>> https://ci.apache.org/projects/flink/flink-docs-release-1.10/dev/table/sql/queries.html#deduplication
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>> On Fri, Aug 21, 2020 at 10:28 AM Chesnay Schepler <
>>>>>>>>>>> ches...@apache.org> wrote:
>>>>>>>>>>>
>>>>>>>>>>>> @Jark Would it be possible to use the 1.11 debezium support in
>>>>>>>>>>>> 1.10?
>>>>>>>>>>>>
>>>>>>>>>>>> On 20/08/2020 19:59, Rex Fenley wrote:
>>>>>>>>>>>>
>>>>>>>>>>>> Hi,
>>>>>>>>>>>>
>>>>>>>>>>>> I'm trying to set up Flink with Debezium CDC Connector on AWS
>>>>>>>>>>>> EMR, however, EMR only supports Flink 1.10.0, whereas Debezium
>>>>>>>>>>>> Connector
>>>>>>>>>>>> arrived in Flink 1.11.0, from looking at the documentation.
>>>>>>>>>>>>
>>>>>>>>>>>>
>>>>>>>>>>>> https://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-flink.html
>>>>>>>>>>>>
>>>>>>>>>>>> https://ci.apache.org/projects/flink/flink-docs-release-1.11/dev/table/connectors/formats/debezium.html
>>>>>>>>>>>>
>>>>>>>>>>>> I'm wondering what alternative solutions are available for
>>>>>>>>>>>> connecting Debezium to Flink? Is there an open source Debezium
>>>>>>>>>>>> connector
>>>>>>>>>>>> that works with Flink 1.10.0? Could I potentially pull the code
>>>>>>>>>>>> out for the
>>>>>>>>>>>> 1.11.0 Debezium connector and compile it in my project using Flink
>>>>>>>>>>>> 1.10.0
>>>>>>>>>>>> api?
>>>>>>>>>>>>
>>>>>>>>>>>> For context, I plan on doing some fairly complicated long lived
>>>>>>>>>>>> stateful joins / materialization using the Table API over data
>>>>>>>>>>>> ingested
>>>>>>>>>>>> from Postgres and possibly MySQL.
>>>>>>>>>>>>
>>>>>>>>>>>> Appreciate any help, thanks!
>>>>>>>>>>>>
>>>>>>>>>>>> --
>>>>>>>>>>>>
>>>>>>>>>>>> Rex Fenley | Software Engineer - Mobile and Backend
>>>>>>>>>>>>
>>>>>>>>>>>>
>>>>>>>>>>>> Remind.com <https://www.remind.com/> | BLOG
>>>>>>>>>>>> <http://blog.remind.com/> | FOLLOW US
>>>>>>>>>>>> <https://twitter.com/remindhq> | LIKE US
>>>>>>>>>>>> <https://www.facebook.com/remindhq>
>>>>>>>>>>>>
>>>>>>>>>>>>
>>>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>> --
>>>>>>>>>>
>>>>>>>>>> Rex Fenley | Software Engineer - Mobile and Backend
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>> Remind.com <https://www.remind.com/> | BLOG
>>>>>>>>>> <http://blog.remind.com/> | FOLLOW US
>>>>>>>>>> <https://twitter.com/remindhq> | LIKE US
>>>>>>>>>> <https://www.facebook.com/remindhq>
>>>>>>>>>>
>>>>>>>>>
>>>>>>>>
>>>>>>>> --
>>>>>>>>
>>>>>>>> Rex Fenley | Software Engineer - Mobile and Backend
>>>>>>>>
>>>>>>>>
>>>>>>>> Remind.com <https://www.remind.com/> | BLOG
>>>>>>>> <http://blog.remind.com/> | FOLLOW US
>>>>>>>> <https://twitter.com/remindhq> | LIKE US
>>>>>>>> <https://www.facebook.com/remindhq>
>>>>>>>>
>>>>>>>
>>>>>>
>>>>>> --
>>>>>>
>>>>>> Rex Fenley | Software Engineer - Mobile and Backend
>>>>>>
>>>>>>
>>>>>> Remind.com <https://www.remind.com/> | BLOG
>>>>>> <http://blog.remind.com/> | FOLLOW US
>>>>>> <https://twitter.com/remindhq> | LIKE US
>>>>>> <https://www.facebook.com/remindhq>
>>>>>>
>>>>>
>>>>>
>>>>> --
>>>>>
>>>>> Rex Fenley | Software Engineer - Mobile and Backend
>>>>>
>>>>>
>>>>> Remind.com <https://www.remind.com/> | BLOG <http://blog.remind.com/>
>>>>> | FOLLOW US <https://twitter.com/remindhq> | LIKE US
>>>>> <https://www.facebook.com/remindhq>
>>>>>
>>>>
>>>
>>> --
>>>
>>> Rex Fenley | Software Engineer - Mobile and Backend
>>>
>>>
>>> Remind.com <https://www.remind.com/> | BLOG <http://blog.remind.com/>
>>> | FOLLOW US <https://twitter.com/remindhq> | LIKE US
>>> <https://www.facebook.com/remindhq>
>>>
>>
>>
>> --
>>
>> Arvid Heise | Senior Java Developer
>>
>> <https://www.ververica.com/>
>>
>> Follow us @VervericaData
>>
>> --
>>
>> Join Flink Forward <https://flink-forward.org/> - The Apache Flink
>> Conference
>>
>> Stream Processing | Event Driven | Real Time
>>
>> --
>>
>> Ververica GmbH | Invalidenstrasse 115, 10115 Berlin, Germany
>>
>> --
>> Ververica GmbH
>> Registered at Amtsgericht Charlottenburg: HRB 158244 B
>> Managing Directors: Timothy Alexander Steinert, Yip Park Tung Jason, Ji
>> (Toni) Cheng
>>
>
>
> --
>
> Rex Fenley | Software Engineer - Mobile and Backend
>
>
> Remind.com <https://www.remind.com/> | BLOG <http://blog.remind.com/> |
> FOLLOW US <https://twitter.com/remindhq> | LIKE US
> <https://www.facebook.com/remindhq>
>
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