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debezium | Change data capture for a variety of databases | Change Data Capture library

by debezium Java Version: Current License: Non-SPDX

by debezium Java Version: Current License: Non-SPDX

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kandi X-RAY | debezium Summary

debezium is a Java library typically used in Telecommunications, Media, Media, Entertainment, Utilities, Change Data Capture, Kafka applications. debezium has no bugs, it has no vulnerabilities, it has build file available and it has high support. However debezium has a Non-SPDX License. You can download it from GitHub, Maven.

Debezium is an open source project that provides a low latency data streaming platform for change data capture (CDC). You setup and configure Debezium to monitor your databases, and then your applications consume events for each row-level change made to the database. Only committed changes are visible, so your application doesn't have to worry about transactions or changes that are rolled back. Debezium provides a single model of all change events, so your application does not have to worry about the intricacies of each kind of database management system. Additionally, since Debezium records the history of data changes in durable, replicated logs, your application can be stopped and restarted at any time, and it will be able to consume all of the events it missed while it was not running, ensuring that all events are processed correctly and completely. Monitoring databases and being notified when data changes has always been complicated. Relational database triggers can be useful, but are specific to each database and often limited to updating state within the same database (not communicating with external processes). Some databases offer APIs or frameworks for monitoring changes, but there is no standard so each database's approach is different and requires a lot of knowledged and specialized code. It still is very challenging to ensure that all changes are seen and processed in the same order while minimally impacting the database. Debezium provides modules that do this work for you. Some modules are generic and work with multiple database management systems, but are also a bit more limited in functionality and performance. Other modules are tailored for specific database management systems, so they are often far more capable and they leverage the specific features of the system.

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Quality

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Security

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kandi-support Support

debezium has a highly active ecosystem.
It has 6573 star(s) with 1707 fork(s). There are 202 watchers for this library.
It had no major release in the last 12 months.
debezium has no issues reported. There are 33 open pull requests and 0 closed requests.
It has a negative sentiment in the developer community.
The latest version of debezium is current.

debezium Support

Best in #Change Data Capture

Average in #Change Data Capture

debezium Support

Best in #Change Data Capture

Average in #Change Data Capture

quality kandi Quality

debezium has 0 bugs and 0 code smells.

debezium Quality

Best in #Change Data Capture

Average in #Change Data Capture

debezium Quality

Best in #Change Data Capture

Average in #Change Data Capture

security Security

debezium has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
debezium code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.

debezium Security

Best in #Change Data Capture

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debezium Security

Best in #Change Data Capture

Average in #Change Data Capture

license License

debezium has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

debezium License

Best in #Change Data Capture

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debezium License

Best in #Change Data Capture

Average in #Change Data Capture

build Reuse

debezium releases are not available. You will need to build from source code and install.
Deployable package is available in Maven.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
debezium saves you 115653 person hours of effort in developing the same functionality from scratch.
It has 169475 lines of code, 12812 functions and 1365 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.

debezium Reuse

Best in #Change Data Capture

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debezium Reuse

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Top functions reviewed by kandi - BETA

kandi has reviewed debezium and discovered the below as its top functions. This is intended to give you an instant insight into debezium implemented functionality, and help decide if they suit your requirements.

Execute snapshot .
Start the engine .
Assigns a table to a specific table .
Create a new replication stream .
Resolves column value .
Converts the given field value to the corresponding column value .
Handles a change event .
Parse a where - clause .
Registers the data type resolver .
Get the effective Memory layout specification .

debezium Key Features

Change data capture for a variety of databases. Please log issues at https://issues.redhat.com/browse/DBZ.

debezium Examples and Code Snippets

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Building Debezium

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$ git --version
$ javac -version
$ mvn -version
$ docker --version

Configure your Docker environment

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export DOCKER_HOST=tcp://10.1.2.2:2376
export DOCKER_CERT_PATH=/path/to/cdk/.vagrant/machines/default/virtualbox/.docker
export DOCKER_TLS_VERIFY=1

Building the code

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$ git clone https://github.com/debezium/debezium.git
$ cd debezium

Don't have Docker running locally for builds?

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$ mvn clean verify -DskipITs

Building just the artifacts, without running tests, CheckStyle, etc.

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$ mvn clean verify -Dquick

Running tests of the Postgres connector using the wal2json or pgoutput logical decoding plug-ins

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$ mvn clean install -pl :debezium-connector-postgres -Pwal2json-decoder

Running tests of the Postgres connector with specific Apicurio Version

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$ mvn clean install -pl debezium-connector-postgres -Pwal2json-decoder 
      -Ddebezium.test.apicurio.version=1.3.1.Final

Running tests of the Postgres connector against an external database, e.g. Amazon RDS

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$ mvn clean install -pl debezium-connector-postgres -Pwal2json-decoder \
     -Ddocker.skip.build=true -Ddocker.skip.run=true -Dpostgres.host=&lt;your PG host&gt; \
     -Dpostgres.user=&lt;your user&gt; -Dpostgres.password=&lt;your password&gt; \
     -Ddebezium.test.records.waittime=10

Running tests of the Oracle connector using Oracle XStream

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$ mvn clean install -pl debezium-connector-oracle -Poracle,xstream -Dinstantclient.dir=&lt;path-to-instantclient&gt;

Running tests of the Oracle connector with a non-CDB database

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$ mvn clean install -pl debezium-connector-oracle -Poracle -Dinstantclient.dir=&lt;path-to-instantclient&gt; -Ddatabase.pdb.name=

Running the tests for MongoDB with oplog capturing from an IDE

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$ mvn docker:start -B -am -Passembly -Dcheckstyle.skip=true -Dformat.skip=true -Drevapi.skip -Dcapture.mode=oplog -Dversion.mongo.server=3.6 -Dorg.slf4j.simpleLogger.log.org.apache.maven.cli.transfer.Slf4jMavenTransferListener=warn -Dmaven.wagon.http.pool=false -Dmaven.wagon.httpconnectionManager.ttlSeconds=120 -Dcapture.mode=oplog -Dmongo.server=3.6

Deserialize JSON with Camel Routes

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.log("Received body: ${body}")  // logs the full JSON
.setBody().jsonpathWriteAsString("$.payload")
.log("Reduced body: ${body}")   // should log the new body (only the payload)
...

<dependency>
    <groupId>org.apache.camel</groupId>
    <artifactId>camel-jsonpath</artifactId>
</dependency>

<dependency>
    <groupId>org.apache.camel.springboot</groupId>
    <artifactId>camel-jsonpath-starter</artifactId>
</dependency>

-----------------------

.log("Received body: ${body}")  // logs the full JSON
.setBody().jsonpathWriteAsString("$.payload")
.log("Reduced body: ${body}")   // should log the new body (only the payload)
...

<dependency>
    <groupId>org.apache.camel</groupId>
    <artifactId>camel-jsonpath</artifactId>
</dependency>

<dependency>
    <groupId>org.apache.camel.springboot</groupId>
    <artifactId>camel-jsonpath-starter</artifactId>
</dependency>

-----------------------

.log("Received body: ${body}")  // logs the full JSON
.setBody().jsonpathWriteAsString("$.payload")
.log("Reduced body: ${body}")   // should log the new body (only the payload)
...

<dependency>
    <groupId>org.apache.camel</groupId>
    <artifactId>camel-jsonpath</artifactId>
</dependency>

<dependency>
    <groupId>org.apache.camel.springboot</groupId>
    <artifactId>camel-jsonpath-starter</artifactId>
</dependency>

Debezium New Record State Extraction SMT doesn't work properly in case of DELETE

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ALTER TABLE some_table REPLICA IDENTITY FULL;

DL4006 warning: Set the SHELL option -o pipefail before RUN with a pipe in it

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FROM strimzi/kafka:0.20.1-kafka-2.6.0

USER root:root
RUN mkdir -p /opt/kafka/plugins/debezium
# Download, unpack, and place the debezium-connector-postgres folder into the /opt/kafka/plugins/debezium directory
SHELL ["/bin/bash", "-o", "pipefail", "-c"]
RUN curl -s https://repo1.maven.org/maven2/io/debezium/debezium-connector-postgres/1.7.0.Final/debezium-connector-postgres-1.7.0.Final-plugin.tar.gz | tar xvz --transform 's/debezium-connector-postgres/debezium/' --directory /opt/kafka/plugins/
USER 1001

RUN wget -O - https://some.site | wc -l > /number

RUN set -o pipefail && wget -O - https://some.site | wc -l > /number

RUN ["/bin/bash", "-c", "set -o pipefail && wget -O - https://some.site | wc -l > /number"]

-----------------------

FROM strimzi/kafka:0.20.1-kafka-2.6.0

USER root:root
RUN mkdir -p /opt/kafka/plugins/debezium
# Download, unpack, and place the debezium-connector-postgres folder into the /opt/kafka/plugins/debezium directory
SHELL ["/bin/bash", "-o", "pipefail", "-c"]
RUN curl -s https://repo1.maven.org/maven2/io/debezium/debezium-connector-postgres/1.7.0.Final/debezium-connector-postgres-1.7.0.Final-plugin.tar.gz | tar xvz --transform 's/debezium-connector-postgres/debezium/' --directory /opt/kafka/plugins/
USER 1001

RUN wget -O - https://some.site | wc -l > /number

RUN set -o pipefail && wget -O - https://some.site | wc -l > /number

RUN ["/bin/bash", "-c", "set -o pipefail && wget -O - https://some.site | wc -l > /number"]

-----------------------

FROM strimzi/kafka:0.20.1-kafka-2.6.0

USER root:root
RUN mkdir -p /opt/kafka/plugins/debezium
# Download, unpack, and place the debezium-connector-postgres folder into the /opt/kafka/plugins/debezium directory
SHELL ["/bin/bash", "-o", "pipefail", "-c"]
RUN curl -s https://repo1.maven.org/maven2/io/debezium/debezium-connector-postgres/1.7.0.Final/debezium-connector-postgres-1.7.0.Final-plugin.tar.gz | tar xvz --transform 's/debezium-connector-postgres/debezium/' --directory /opt/kafka/plugins/
USER 1001

RUN wget -O - https://some.site | wc -l > /number

RUN set -o pipefail && wget -O - https://some.site | wc -l > /number

RUN ["/bin/bash", "-c", "set -o pipefail && wget -O - https://some.site | wc -l > /number"]

-----------------------

FROM strimzi/kafka:0.20.1-kafka-2.6.0

USER root:root
RUN mkdir -p /opt/kafka/plugins/debezium
# Download, unpack, and place the debezium-connector-postgres folder into the /opt/kafka/plugins/debezium directory
SHELL ["/bin/bash", "-o", "pipefail", "-c"]
RUN curl -s https://repo1.maven.org/maven2/io/debezium/debezium-connector-postgres/1.7.0.Final/debezium-connector-postgres-1.7.0.Final-plugin.tar.gz | tar xvz --transform 's/debezium-connector-postgres/debezium/' --directory /opt/kafka/plugins/
USER 1001

RUN wget -O - https://some.site | wc -l > /number

RUN set -o pipefail && wget -O - https://some.site | wc -l > /number

RUN ["/bin/bash", "-c", "set -o pipefail && wget -O - https://some.site | wc -l > /number"]

Hazelcast Change Data Capture with Postgres

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wal_level = logical

how to create subject for ksqldb from kafka tapic

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CREATE SOURCE CONNECTOR final_connector WITH (
    'connector.class' = 'io.debezium.connector.mysql.MySqlConnector',
    'database.hostname' = 'mysql',
    'database.port' = '3306',
    'database.user' = 'root',
    'database.password' = 'mypassword',
    'database.allowPublicKeyRetrieval' = 'true',
    'database.server.id' = '184055',
    'database.server.name' = 'db',
    'database.whitelist' = 'mydb',
    'database.history.kafka.bootstrap.servers' = 'kafka:9092',
    'database.history.kafka.topic' = 'mydb',
    'table.whitelist' = 'mydb.user',
    'include.schema.changes' = 'false',
    'transforms'= 'unwrap,extractkey',
    'transforms.unwrap.type'= 'io.debezium.transforms.ExtractNewRecordState',
    'transforms.extractkey.type'= 'org.apache.kafka.connect.transforms.ExtractField$Key',
    'transforms.extractkey.field'= 'id',
    'key.converter'= 'org.apache.kafka.connect.converters.IntegerConverter',
    'value.converter'= 'io.confluent.connect.avro.AvroConverter',
    'value.converter.schema.registry.url'= 'http://schema-registry:8081'
);

Implicitly cast an ISO8601 string to TIMESTAMPTZ (postgresql) for Debezium

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CREATE CAST (varchar AS timestamptz) WITH INOUT AS ASSIGNMENT;

The connector does not work after stopping the Debezium Connector with Ctrl+C and restart the connector again

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http GET localhost:8083/connectors

[
    "testconnector"
]

http DELETE localhost:8083/connectors/testconnector

-----------------------

http GET localhost:8083/connectors

[
    "testconnector"
]

http DELETE localhost:8083/connectors/testconnector

-----------------------

http GET localhost:8083/connectors

[
    "testconnector"
]

http DELETE localhost:8083/connectors/testconnector

Unable to deserialise dynamic json with Jackson using generics

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@JsonSubTypes

-----------------------

 DebeziumCDCMessage<Object,Customer> respo=new ObjectMapper().readValue(message, DebeziumCDCMessage.class);

DebeziumCDCMessage<Object,Customer> respo=new ObjectMapper().readValue(message, new TypeReference<DebeziumCDCMessage<Object,Customer>>() {});

-----------------------

 DebeziumCDCMessage<Object,Customer> respo=new ObjectMapper().readValue(message, DebeziumCDCMessage.class);

DebeziumCDCMessage<Object,Customer> respo=new ObjectMapper().readValue(message, new TypeReference<DebeziumCDCMessage<Object,Customer>>() {});

Configure a debezium connector for multiple tables in a database

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"transforms.RerouteName.topic.regex":"([^.]+)\\.transaction_search\\.([^.]+)",
"transforms.RerouteName.topic.replacement": "$1.$2"

PySpark - Create a pyspark dataframe using Kakfa Json message

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#+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
#|value                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           |
#+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
#|[{"before":null,"after":{"transaction_id":20,"account_no":409000611074,"transaction_date":18490,"transaction_details":"INDO GIBL Indiaforensic STL12071 ","value_date":18490,"withdrawal_amt":"AMTWoA==","deposit_amt":null,"balance_amt":"K6LiGA=="},"source":{"version":"1.4.0-SNAPSHOT","connector":"mysql","name":"main.test.mysql","ts_ms":0,"snapshot":"true","db":"main","table":"test_bank_data","server_id":0,"gtid":null,"file":"binlog.000584","pos":15484438,"row":0,"thread":null,"query":null},"op":"c","ts_ms":1611582308774,"transaction":null}]|
#|[{"before":null,"after":{"transaction_id":21,"account_no":409000611074,"transaction_date":18490,"transaction_details":"INDO GIBL Indiaforensic STL13071 ","value_date":18490,"withdrawal_amt":"AV741A==","deposit_amt":null,"balance_amt":"KkPpRA=="},"source":{"version":"1.4.0-SNAPSHOT","connector":"mysql","name":"main.test.mysql","ts_ms":0,"snapshot":"true","db":"main","table":"test_bank_data","server_id":0,"gtid":null,"file":"binlog.000584","pos":15484438,"row":0,"thread":null,"query":null},"op":"c","ts_ms":1611582308774,"transaction":null}]|
#+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

message_schema = StructType([
     StructField('before', MapType(StringType(), StringType(), True), True),
     StructField('after', MapType(StringType(), StringType(), True), True),
     StructField('source', MapType(StringType(), StringType(), True), True),
     StructField('op', StringType(), True),
     StructField('ts_ms', StringType(), True),
     StructField('transaction', StringType(), True)
     ]
)

after_fields = [
    "account_no", "balance_amt", "deposit_amt", "transaction_date",
    "transaction_details", "transaction_id", "value_date", "withdrawal_amt"
]

# parse json strings using from_json and select message.after.*
 kafkaStreamDF.withColumn(
     "message",
     F.from_json(F.col("value"), message_schema)
 ).select(
     *[F.col("message.after").getItem(f).alias(f) for f in after_fields]
 ).writeStream \
  .outputMode("append") \
  .format("console") \
  .option("truncate", "false") \
  .start() \
  .awaitTermination()

-----------------------

#+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
#|value                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           |
#+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
#|[{"before":null,"after":{"transaction_id":20,"account_no":409000611074,"transaction_date":18490,"transaction_details":"INDO GIBL Indiaforensic STL12071 ","value_date":18490,"withdrawal_amt":"AMTWoA==","deposit_amt":null,"balance_amt":"K6LiGA=="},"source":{"version":"1.4.0-SNAPSHOT","connector":"mysql","name":"main.test.mysql","ts_ms":0,"snapshot":"true","db":"main","table":"test_bank_data","server_id":0,"gtid":null,"file":"binlog.000584","pos":15484438,"row":0,"thread":null,"query":null},"op":"c","ts_ms":1611582308774,"transaction":null}]|
#|[{"before":null,"after":{"transaction_id":21,"account_no":409000611074,"transaction_date":18490,"transaction_details":"INDO GIBL Indiaforensic STL13071 ","value_date":18490,"withdrawal_amt":"AV741A==","deposit_amt":null,"balance_amt":"KkPpRA=="},"source":{"version":"1.4.0-SNAPSHOT","connector":"mysql","name":"main.test.mysql","ts_ms":0,"snapshot":"true","db":"main","table":"test_bank_data","server_id":0,"gtid":null,"file":"binlog.000584","pos":15484438,"row":0,"thread":null,"query":null},"op":"c","ts_ms":1611582308774,"transaction":null}]|
#+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

message_schema = StructType([
     StructField('before', MapType(StringType(), StringType(), True), True),
     StructField('after', MapType(StringType(), StringType(), True), True),
     StructField('source', MapType(StringType(), StringType(), True), True),
     StructField('op', StringType(), True),
     StructField('ts_ms', StringType(), True),
     StructField('transaction', StringType(), True)
     ]
)

after_fields = [
    "account_no", "balance_amt", "deposit_amt", "transaction_date",
    "transaction_details", "transaction_id", "value_date", "withdrawal_amt"
]

# parse json strings using from_json and select message.after.*
 kafkaStreamDF.withColumn(
     "message",
     F.from_json(F.col("value"), message_schema)
 ).select(
     *[F.col("message.after").getItem(f).alias(f) for f in after_fields]
 ).writeStream \
  .outputMode("append") \
  .format("console") \
  .option("truncate", "false") \
  .start() \
  .awaitTermination()

See all related Code Snippets

Community Discussions

Trending Discussions on debezium

Deserialize JSON with Camel Routes
Debezium New Record State Extraction SMT doesn't work properly in case of DELETE
Can 2 Debezium Connectors read from same source at the same time?
Can MySql binlog have more than one open transaction?
SQL Server Data to Kafka in real time
DL4006 warning: Set the SHELL option -o pipefail before RUN with a pipe in it
Hazelcast Change Data Capture with Postgres
java.lang.RuntimeException: Failed to resolve Oracle database version
Connection timeout using local kafka-connect cluster to connect on a remote database
how to create subject for ksqldb from kafka tapic

Trending Discussions on debezium

QUESTION

Deserialize JSON with Camel Routes

Asked 2022-Feb-02 at 08:13

I'm trying to unmarshal json data generated by debezium inside a kafka topic.

My approach is simple, use POJOs and Jackson Library, however, since this json has a root object (initialized inside "{}") it throws an error.

This is the json received, I'm just interested on the payload:

{
    "schema": {
        "type": "struct",
        "fields": [{
            "type": "double",
            "optional": false,
            "field": "codid"
        }, {
            "type": "string",
            "optional": true,
            "field": "__op"
        }, {
            "type": "string",
            "optional": true,
            "field": "__deleted"
        }],
        "optional": false,
        "name": "demo.RESCUE.Value"
    },
    "payload": {
        "codid": 0.0,
        "__op": "r",
        "__deleted": "false"
    }
}

And this is my Route:

public class Routes extends RouteBuilder{

    public static class MySplitter {
        public List<Payload> splitBody(Rescue data) {
            return data.getPayload().stream().collect(toList());
        }
    }

    @Override
    public void configure() throws Exception {

        from("kafka:{{kafka.source.topic.name}}?brokers={{kafka.bootstrap.address}}&autoOffsetReset=earliest")
        .log("Received body: ${body}")
            .unmarshal().json(JsonLibrary.Jackson, Rescue.class)
            .split().method(MySplitter.class, "splitBody")
            .marshal().json(JsonLibrary.Jackson)
            .convertBodyTo(String.class)
            .log("Output: ${body}");
    }
    
}

And the error received:

com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot deserialize value of type `java.util.ArrayList<org.demo.pojos.rescue.Payload>` from Object value (token `JsonToken.START_OBJECT`)

ANSWER

Answered 2022-Feb-02 at 08:13

If you are just interested in payload, you have to extract this object from the whole JSON. For example with JSONPath.

Camel supports JSONPath as expression language. Therefore you can try something like

.log("Received body: ${body}")  // logs the full JSON
.setBody().jsonpathWriteAsString("$.payload")
.log("Reduced body: ${body}")   // should log the new body (only the payload)
...

Notice that you need to add the camel-jsonpath dependency

<dependency>
    <groupId>org.apache.camel</groupId>
    <artifactId>camel-jsonpath</artifactId>
</dependency>

or if you use SpringBoot

<dependency>
    <groupId>org.apache.camel.springboot</groupId>
    <artifactId>camel-jsonpath-starter</artifactId>
</dependency>

Source https://stackoverflow.com/questions/70950582

QUESTION

Debezium New Record State Extraction SMT doesn't work properly in case of DELETE

Asked 2022-Jan-23 at 16:19

I'm trying to apply Debezium's New Record State Extraction SMT using the following configuration:

"transforms": "unwrap",
"transforms.unwrap.type": "io.debezium.transforms.ExtractNewRecordState",
"transforms.unwrap.drop.tombstones": true,
"transforms.unwrap.delete.handling.mode": "rewrite",
"transforms.unwrap.add.fields": "db,schema,table,txId,ts_ms"

For INSERT and UPDATE operations I get the messages as expected, but in case of DELETE I get the following as a payload:

"payload": {
    "id": 2,
    "first_name": "",
    "last_name": "",
    "__db": "postgres",
    "__schema": "schema1",
    "__table": "user_details",
    "__txId": 5145,
    "__ts_ms": 1638760801510,
    "__deleted": "true"
  }

As you can see above, both first_name and last_name fields have empty values, though the record I deleted has non-empty values for both of those fields. What I expect to see as a value for those 2 fields is their value at the moment of deletion as it is shown in debezium's before payload chunk in case when New Record State Extraction SMT is not applied.

ANSWER

Answered 2022-Jan-23 at 16:19

The reason of empty values for all columns except the PK is not related to New Record State Extraction SMT at all. For postgres, there is a REPLICA IDENTITY table-level parameter that can be used to control the information written to WAL to identify tuple data that is being deleted or updated.

This parameter has 4 modes:

DEFAULT
USING INDEX index
FULL
NOTHING

In the case of DEFAULT, old tuple data is only identified with the primary key of the table. Columns that are not part of the primary key do not have their old value written.

In the case of FULL, all the column values of old tuple are properly written to WAL all the time. Hence, executing the following command for the target table will make the old record values to be properly populated in debezium message:

ALTER TABLE some_table REPLICA IDENTITY FULL;

NOTE!! FULL is the most verbose, and as well the most resource-consuming mode. Be careful with it particularly for heavily-updated tables.

Source https://stackoverflow.com/questions/70240991

QUESTION

DL4006 warning: Set the SHELL option -o pipefail before RUN with a pipe in it

Asked 2021-Oct-23 at 00:31

I have a Dockerfile

FROM strimzi/kafka:0.20.1-kafka-2.6.0

USER root:root
RUN mkdir -p /opt/kafka/plugins/debezium
# Download, unpack, and place the debezium-connector-postgres folder into the /opt/kafka/plugins/debezium directory
RUN curl -s https://repo1.maven.org/maven2/io/debezium/debezium-connector-postgres/1.7.0.Final/debezium-connector-postgres-1.7.0.Final-plugin.tar.gz | tar xvz --transform 's/debezium-connector-postgres/debezium/' --directory /opt/kafka/plugins/
USER 1001

When I use hadolint on it by

hadolint Dockerfile

I got warning

Dockerfile:6 DL4006 warning: Set the SHELL option -o pipefail before RUN with a pipe in it. If you are using /bin/sh in an alpine image or if your shell is symlinked to busybox then consider explicitly setting your SHELL to /bin/ash, or disable this check

I know I have a pipe | in the line started with RUN.

However, I still really don't know how to fix based on this warning.

ANSWER

Answered 2021-Oct-23 at 00:31

Oh, just found the solution in the wiki page at https://github.com/hadolint/hadolint/wiki/DL4006

Here is my fixed version:

FROM strimzi/kafka:0.20.1-kafka-2.6.0

USER root:root
RUN mkdir -p /opt/kafka/plugins/debezium
# Download, unpack, and place the debezium-connector-postgres folder into the /opt/kafka/plugins/debezium directory
SHELL ["/bin/bash", "-o", "pipefail", "-c"]
RUN curl -s https://repo1.maven.org/maven2/io/debezium/debezium-connector-postgres/1.7.0.Final/debezium-connector-postgres-1.7.0.Final-plugin.tar.gz | tar xvz --transform 's/debezium-connector-postgres/debezium/' --directory /opt/kafka/plugins/
USER 1001

The reason adding SHELL ["/bin/bash", "-o", "pipefail", "-c"] is at https://github.com/docker/docker.github.io/blob/master/develop/develop-images/dockerfile_best-practices.md#using-pipes

Below is a copy:

Some RUN commands depend on the ability to pipe the output of one command into another, using the pipe character (|), as in the following example:

RUN wget -O - https://some.site | wc -l > /number

Docker executes these commands using the /bin/sh -c interpreter, which only evaluates the exit code of the last operation in the pipe to determine success. In the example above this build step succeeds and produces a new image so long as the wc -l command succeeds, even if the wget command fails.

If you want the command to fail due to an error at any stage in the pipe, prepend set -o pipefail && to ensure that an unexpected error prevents the build from inadvertently succeeding. For example:

RUN set -o pipefail && wget -O - https://some.site | wc -l > /number

Not all shells support the -o pipefail option.

In cases such as the dash shell on Debian-based images, consider using the exec form of RUN to explicitly choose a shell that does support the pipefail option. For example:

RUN ["/bin/bash", "-c", "set -o pipefail && wget -O - https://some.site | wc -l > /number"]

Source https://stackoverflow.com/questions/69684133

QUESTION

Hazelcast Change Data Capture with Postgres

Asked 2021-Oct-13 at 09:42

I'm trying to use CDC for my Postgres Database.

and I have created simple project using Hazelcast Docs example.

https://jet-start.sh/docs/tutorials/cdc-postgres

public static void main(String[] args) {
        StreamSource<ChangeRecord> source = PostgresCdcSources.postgres("source").setDatabaseAddress("127.0.0.1")
                .setDatabasePort(5432).setDatabaseUser("postgres").setDatabasePassword("root")
                .setDatabaseName("postgres").setTableWhitelist("inventory.customers").build();

        Pipeline pipeline = Pipeline.create();
        pipeline.readFrom(source).withoutTimestamps().peek().writeTo(CdcSinks.map("customers",
                r -> r.key().toMap().get("id"), r -> r.value().toObject(Customer.class).toString()));

        JobConfig cfg = new JobConfig().setName("postgres-monitor");
        Jet.bootstrappedInstance().newJob(pipeline, cfg);
    }

and when I ran the application I'm getting below error..

13:55:13.679 [hz.happy_poitras.jet.blocking.thread-0] INFO io.debezium.connector.postgresql.PostgresConnectorTask - user 'postgres' connected to database 'postgres' on PostgreSQL 13.2, compiled by Visual C++ build 1914, 64-bit with roles:
    role 'pg_read_all_settings' [superuser: false, replication: false, inherit: true, create role: false, create db: false, can log in: false]
    role 'pg_stat_scan_tables' [superuser: false, replication: false, inherit: true, create role: false, create db: false, can log in: false]
    role 'pg_write_server_files' [superuser: false, replication: false, inherit: true, create role: false, create db: false, can log in: false]
    role 'pg_monitor' [superuser: false, replication: false, inherit: true, create role: false, create db: false, can log in: false]
    role 'pg_read_server_files' [superuser: false, replication: false, inherit: true, create role: false, create db: false, can log in: false]
    role 'postgres1' [superuser: false, replication: false, inherit: true, create role: false, create db: false, can log in: true]
    role 'pg_execute_server_program' [superuser: false, replication: false, inherit: true, create role: false, create db: false, can log in: false]
    role 'pg_read_all_stats' [superuser: false, replication: false, inherit: true, create role: false, create db: false, can log in: false]
    role 'pg_signal_backend' [superuser: false, replication: false, inherit: true, create role: false, create db: false, can log in: false]
    role 'postgres' [superuser: true, replication: true, inherit: true, create role: true, create db: true, can log in: true]
13:55:13.691 [hz.happy_poitras.jet.blocking.thread-0] DEBUG io.debezium.connector.postgresql.connection.PostgresConnection - No replication slot 'debezium' is present for plugin 'decoderbufs' and database 'postgres'
13:55:13.691 [hz.happy_poitras.jet.blocking.thread-0] INFO io.debezium.connector.postgresql.connection.PostgresConnection - Obtained valid replication slot ReplicationSlot [active=false, latestFlushedLsn=null, catalogXmin=null]
13:55:13.691 [hz.happy_poitras.jet.blocking.thread-0] INFO io.debezium.connector.postgresql.PostgresConnectorTask - No previous offset found
13:55:13.691 [hz.happy_poitras.jet.blocking.thread-0] INFO io.debezium.connector.postgresql.snapshot.ExportedSnapshotter - Taking exported snapshot for new datasource
13:55:13.698 [hz.happy_poitras.jet.blocking.thread-0] DEBUG io.debezium.connector.postgresql.connection.PostgresReplicationConnection - Creating new replication slot 'debezium' for plugin 'DECODERBUFS'
13:55:13.737 [hz.happy_poitras.jet.blocking.thread-0] DEBUG io.debezium.jdbc.JdbcConnection - Connected to jdbc:postgresql://127.0.0.1:5432/postgres with {replication=database, server.name=1265b920-e764-4824-93f0-704e53ede9ea, history=com.hazelcast.jet.cdc.impl.CdcSourceP$DatabaseHistoryImpl, password=***, assumeMinServerVersion=9.4, user=postgres, preferQueryMode=simple}
13:55:13.738 [hz.happy_poitras.jet.blocking.thread-0] INFO io.debezium.connector.postgresql.connection.PostgresReplicationConnection - Creating replication slot with command CREATE_REPLICATION_SLOT debezium  LOGICAL decoderbufs
13:55:13.747 [[33m WARN[0m] [[34mc.h.j.i.e.TaskletExecutionService[0m] Exception in ProcessorTasklet{postgres-monitor/source#0}
[31mcom.hazelcast.jet.JetException: Failed to connect to database: Creation of replication slot failed: ERROR: logical decoding requires wal_level >= logical
    at com.hazelcast.jet.cdc.impl.CdcSourceP.handleConnectException(CdcSourceP.java:268)
    at com.hazelcast.jet.cdc.impl.CdcSourceP.isConnectionUp(CdcSourceP.java:236)
    at com.hazelcast.jet.cdc.impl.CdcSourceP.complete(CdcSourceP.java:148)
    at com.hazelcast.jet.impl.processor.ProcessorWrapper.complete(ProcessorWrapper.java:116)
    at com.hazelcast.jet.impl.execution.ProcessorTasklet.complete(ProcessorTasklet.java:472)
    at com.hazelcast.jet.impl.execution.ProcessorTasklet.stateMachineStep(ProcessorTasklet.java:372)
    at com.hazelcast.jet.impl.execution.ProcessorTasklet.call(ProcessorTasklet.java:247)
    at com.hazelcast.jet.impl.execution.TaskletExecutionService$BlockingWorker.run(TaskletExecutionService.java:294)
    at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:515)
    at java.base/java.util.concurrent.FutureTask.run(FutureTask.java:264)
    at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1130)
    at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:630)
    at java.base/java.lang.Thread.run(Thread.java:832)
[0m13:55:13.776 [[31mERROR[0m] [[34mc.h.j.i.MasterJobContext[0m] Execution of job 'postgres-monitor', execution 06f2-6f35-27c1-0001 failed
    Start time: 2021-10-13T13:55:12.865
    Duration: 00:00:00.910
    To see additional job metrics enable JobConfig.storeMetricsAfterJobCompletion
[31mcom.hazelcast.jet.JetException: Exception in ProcessorTasklet{postgres-monitor/source#0}: com.hazelcast.jet.JetException: Failed to connect to database: Creation of replication slot failed: ERROR: logical decoding requires wal_level >= logical
    at com.hazelcast.jet.impl.execution.TaskletExecutionService$BlockingWorker.run(TaskletExecutionService.java:305)
    at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:515)
    at java.base/java.util.concurrent.FutureTask.run(FutureTask.java:264)
    at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1130)
    at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:630)
    at java.base/java.lang.Thread.run(Thread.java:832)
Caused by: com.hazelcast.jet.JetException: Failed to connect to database: Creation of replication slot failed: ERROR: logical decoding requires wal_level >= logical
    at com.hazelcast.jet.cdc.impl.CdcSourceP.handleConnectException(CdcSourceP.java:268)

Is there any configuration is Required at the database level.(I'm using my local db)

ANSWER

Answered 2021-Oct-13 at 09:42

The message says

logical decoding requires wal_level >= logical

In postgresql.conf you should set the folllowing:

wal_level = logical

For all postgres configuration options required for CDC see the operations guide section on CDC.

Source https://stackoverflow.com/questions/69552328

QUESTION

java.lang.RuntimeException: Failed to resolve Oracle database version

Asked 2021-Sep-07 at 13:47

I am using debezium oracle connector in kafka connect.While starting connector I am getting below error,

java.lang.RuntimeException: Failed to resolve Oracle database version
        at io.debezium.connector.oracle.OracleConnection.resolveOracleDatabaseVersion(OracleConnection.java:159)
        at io.debezium.connector.oracle.OracleConnection.<init>(OracleConnection.java:71)
        at io.debezium.connector.oracle.OracleConnector.validateConnection(OracleConnector.java:74)
        at io.debezium.connector.common.RelationalBaseSourceConnector.validate(RelationalBaseSourceConnector.java:52)
        at org.apache.kafka.connect.runtime.AbstractHerder.validateConnectorConfig(AbstractHerder.java:400)
        at org.apache.kafka.connect.runtime.AbstractHerder.lambda$validateConnectorConfig$2(AbstractHerder.java:351)
        at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
        at java.util.concurrent.FutureTask.run(FutureTask.java:266)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:748)
Caused by: java.sql.SQLException: No suitable driver found for jdbc:oracle:thin:@**.**.*.**:1521/CDB
        at java.sql.DriverManager.getConnection(DriverManager.java:689)
        at java.sql.DriverManager.getConnection(DriverManager.java:208)
        at io.debezium.jdbc.JdbcConnection.lambda$patternBasedFactory$0(JdbcConnection.java:184)
        at io.debezium.jdbc.JdbcConnection$ConnectionFactoryDecorator.connect(JdbcConnection.java:121)
        at io.debezium.jdbc.JdbcConnection.connection(JdbcConnection.java:890)
        at io.debezium.jdbc.JdbcConnection.connection(JdbcConnection.java:885)
        at io.debezium.jdbc.JdbcConnection.queryAndMap(JdbcConnection.java:643)
        at io.debezium.jdbc.JdbcConnection.queryAndMap(JdbcConnection.java:517)
        at io.debezium.connector.oracle.OracleConnection.resolveOracleDatabaseVersion(OracleConnection.java:129)
        ... 10 more

I am refering to the link for oracle setup and connector configuration,

**https://debezium.io/documentation/reference/connectors/oracle.html#setting-up-oracle**

connector-configuration.properties

name=debeziumoraclesource
connector.class=io.debezium.connector.oracle.OracleConnector
database.hostname=**.*.**.**
database.port=1521
database.user=username
database.password=password
database.dbname=CDBNAME
database.server.name=**.*.**.**
tasks.max=1
database.pdb.name=PDBNAME
database.history.kafka.bootstrap.servers=kafka:9092
database.history.kafka.topic=history.ENTITY_GROUP_PARAMETER_VALUES
database.connection.adaptor=logminer
snapshot.mode=initial
table.include.list=schema.ENTITY_GROUP_PARAMETER_VALUES

Also I have download ojdbc8.jar and placed inside kafka/libs folder.I have tried using different version of jars like ojdbc10 and different versions of ojdbc8.Nothing helped me.Also to the point of note I am using oracle19c.Please help me in resolving this issue.Thanks in advance.

ANSWER

Answered 2021-Sep-07 at 13:47

Using OJDBC6.jar with all dependencies helped me to resolve the issue. And most importantly i placed the jars in connectors lib folder.

Source https://stackoverflow.com/questions/69088351

QUESTION

Connection timeout using local kafka-connect cluster to connect on a remote database

Asked 2021-Jul-06 at 12:09

I'm trying to run a local kafka-connect cluster using docker-compose. I need to connect on a remote database and i'm also using a remote kafka and schema-registry. I have enabled access to these remotes resources from my machine.

To start the cluster, on my project folder in my Ubuntu WSL2 terminal, i'm running

docker build -t my-connect:1.0.0

docker-compose up

The application runs successfully, but when I try to create a new connector, returns error 500 with timeout.

My Dockerfile

FROM confluentinc/cp-kafka-connect-base:5.5.0

RUN cat /etc/confluent/docker/log4j.properties.template

ENV CONNECT_PLUGIN_PATH="/usr/share/java,/usr/share/confluent-hub-components"
ARG JDBC_DRIVER_DIR=/usr/share/java/kafka/

RUN   confluent-hub install --no-prompt confluentinc/kafka-connect-jdbc:5.5.0 \
   && confluent-hub install --no-prompt confluentinc/connect-transforms:1.3.2

ADD java/kafka-connect-jdbc /usr/share/confluent-hub-components/confluentinc-kafka-connect-jdbc/lib/
COPY java/kafka-connect-jdbc/ojdbc8.jar /usr/share/confluent-hub-components/confluentinc-kafka-connect-jdbc/lib/

ENTRYPOINT ["sh","-c","export CONNECT_REST_ADVERTISED_HOST_NAME=$(hostname -I);/etc/confluent/docker/run"]

My docker-compose.yaml

services:
  connect:
    image: my-connect:1.0.0
    ports:
     - 8083:8083
    environment:
      - CONNECT_KEY_CONVERTER_SCHEMA_REGISTRY_URL=http=//schema-registry:8081
      - CONNECT_KEY_CONVERTER=io.confluent.connect.avro.AvroConverter
      - CONNECT_VALUE_CONVERTER_SCHEMA_REGISTRY_URL=http=//schema-registry:8081
      - CONNECT_BOOTSTRAP_SERVERS=broker1.intranet:9092
      - CONNECT_GROUP_ID=kafka-connect
      - CONNECT_INTERNAL_KEY_CONVERTER=org.apache.kafka.connect.json.JsonConverter
      - CONNECT_VALUE_CONVERTER=io.confluent.connect.avro.AvroConverter
      - CONNECT_INTERNAL_VALUE_CONVERTER=org.apache.kafka.connect.json.JsonConverter
      - CONNECT_OFFSET_STORAGE_TOPIC=kafka-connect.offset
      - CONNECT_CONFIG_STORAGE_TOPIC=kafka-connect.config
      - CONNECT_STATUS_STORAGE_TOPIC=kafka-connect.status
      - CONNECT_CONNECTOR_CLIENT_CONFIG_OVERRIDE_POLICY=All
      - CONNECT_LOG4J_ROOT_LOGLEVEL=INFO
      - KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR=1
      - CONNECT_REST_ADVERTISED_HOST_NAME=localhost

My cluster it's up

~$ curl -X GET http://localhost:8083/
{"version":"5.5.0-ccs","commit":"606822a624024828","kafka_cluster_id":"OcXKHO7eT4m9NBHln6ACKg"}

Connector call

curl -i -X POST -H "Accept:application/json" -H "Content-Type:application/json" localhost:8083/connectors/ -d
{
    "name": "my-connector",
    "config":  
    { 
    "connector.class" : "io.debezium.connector.oracle.OracleConnector",
    "tasks.max": "1",
    "database.user": "user", 
    "database.password": "pass",    
    "database.dbname":"SID",
    "database.schema":"schema",
    "database.server.name": "dbname",   
    "schema.include.list": "schema",    
    "database.connection.adapter":"logminer",   
    "database.hostname":"databasehost",
    "database.port":"1521"
   }
}

Error

{"error_code": 500,"message": "IO Error trying to forward REST request: java.net.SocketTimeoutException: Connect Timeout"}

## LOG
connect_1  | [2021-07-01 19:08:50,481] INFO Database Version: Oracle Database 19c Enterprise Edition Release 19.0.0.0.0 - Production
connect_1  | Version 19.4.0.0.0 (io.debezium.connector.oracle.OracleConnection)
connect_1  | [2021-07-01 19:08:50,628] INFO Connection gracefully closed (io.debezium.jdbc.JdbcConnection)
connect_1  | [2021-07-01 19:08:50,643] INFO AbstractConfig values:
connect_1  |  (org.apache.kafka.common.config.AbstractConfig)
connect_1  | [2021-07-01 19:09:05,722] ERROR IO error forwarding REST request:  (org.apache.kafka.connect.runtime.rest.RestClient)
connect_1  | java.util.concurrent.ExecutionException: java.net.SocketTimeoutException: Connect Timeout

Testing the connection to the database

$ telnet databasehostname 1521 Trying <ip>... Connected to databasehostname

Testing connection to kafka broker

$ telnet broker1.intranet 9092 Trying <ip>... Connected to broker1.intranet

Testing connection to remote schema-registry

$ telnet schema-registry.intranet 8081 Trying <ip>... Connected to schema-registry.intranet

What am I doing wrong? Do I need to configure something else to allow connection to this remote database?

ANSWER

Answered 2021-Jul-06 at 12:09

You need to set correctly rest.advertised.host.name (or CONNECT_REST_ADVERTISED_HOST_NAME, if you’re using Docker). This is how a Connect worker communicates with other workers in the cluster.

For more details see Common mistakes made when configuring multiple Kafka Connect workers by Robin Moffatt.

In your case try to remove CONNECT_REST_ADVERTISED_HOST_NAME=localhost from compose file.

Source https://stackoverflow.com/questions/68217193

QUESTION

how to create subject for ksqldb from kafka tapic

Asked 2021-Jun-28 at 14:35

I use Mysql database. Suppose I have a table for orders. And using debezium mysql connect for Kafka, the order topic has been created. But I have trouble creating a stream in ksqldb.

CREATE STREAM orders WITH (
    kafka_topic = 'myserver.mydatabase.orders',
    value_format = 'avro'
);

my docker-compose file look like this

  zookeeper:
    image: confluentinc/cp-zookeeper:latest
    container_name: zookeeper
    privileged: true
    ports:
      - "2181:2181"
    environment:
      ZOOKEEPER_CLIENT_PORT: 2181
      ZOOKEEPER_TICK_TIME: 2000

  kafka:
    image: confluentinc/cp-kafka:latest
    container_name: kafka
    depends_on:
      - zookeeper
    ports:
      - '9092:9092'
    environment:
      KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181
      KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://kafka:9092
      KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
      KAFKA_TRANSACTION_STATE_LOG_MIN_ISR: 1
      KAFKA_TRANSACTION_STATE_LOG_REPLICATION_FACTOR: 1


  schema-registry:
    image: confluentinc/cp-schema-registry:latest
    container_name: schema-registry
    depends_on:
      - kafka
      - zookeeper
    ports:
      - "8081:8081"
    environment:
      SCHEMA_REGISTRY_KAFKASTORE_CONNECTION_URL: "zookeeper:2181"
      SCHEMA_REGISTRY_HOST_NAME: schema-registry

  kafka-connect:
    hostname: kafka-connect
    image: confluentinc/cp-kafka-connect:latest
    container_name: kafka-connect
    ports:
      - 8083:8083
    depends_on:
      - schema-registry
    environment:
      CONNECT_BOOTSTRAP_SERVERS: kafka:9092
      CONNECT_REST_PORT: 8083
      CONNECT_GROUP_ID: "quickstart-avro"
      CONNECT_CONFIG_STORAGE_TOPIC: "quickstart-avro-config"
      CONNECT_OFFSET_STORAGE_TOPIC: "quickstart-avro-offsets"
      CONNECT_STATUS_STORAGE_TOPIC: "quickstart-avro-status"
      CONNECT_CONFIG_STORAGE_REPLICATION_FACTOR: 1
      CONNECT_OFFSET_STORAGE_REPLICATION_FACTOR: 1
      CONNECT_STATUS_STORAGE_REPLICATION_FACTOR: 1
      CONNECT_KEY_CONVERTER: "org.apache.kafka.connect.json.JsonConverter"
      CONNECT_VALUE_CONVERTER: "org.apache.kafka.connect.json.JsonConverter"
      CONNECT_INTERNAL_KEY_CONVERTER: "org.apache.kafka.connect.json.JsonConverter"
      CONNECT_INTERNAL_VALUE_CONVERTER: "org.apache.kafka.connect.json.JsonConverter"
      CONNECT_REST_ADVERTISED_HOST_NAME: "kafka-connect"
      CONNECT_LOG4J_ROOT_LOGLEVEL: DEBUG
      CONNECT_PLUGIN_PATH: "/usr/share/java,/etc/kafka-connect/jars"
    volumes:
      - $PWD/kafka/jars:/etc/kafka-connect/jars

  ksqldb-server:
    image: confluentinc/ksqldb-server:latest
    hostname: ksqldb-server
    container_name: ksqldb-server
    depends_on:
      - kafka
    ports:
      - "8088:8088"
    environment:
      KSQL_LISTENERS: http://0.0.0.0:8088
      KSQL_BOOTSTRAP_SERVERS: "kafka:9092"
      KSQL_KSQL_LOGGING_PROCESSING_STREAM_AUTO_CREATE: "true"
      KSQL_KSQL_LOGGING_PROCESSING_TOPIC_AUTO_CREATE: "true"
      KSQL_KSQL_SCHEMA_REGISTRY_URL: "http://schema-registry:8081"
      KSQL_CONNECT_VALUE_CONVERTER_SCHEMA_REGISTRY_URL: "http://schema-registry:8081"

  ksqldb-cli:
    image: confluentinc/ksqldb-cli:latest
    container_name: ksqldb-cli
    depends_on:
      - kafka
      - ksqldb-server
      - schema-registry
    entrypoint: /bin/sh
    tty: true

subject must be created for this table first. What is the difference between the avro, json?

ANSWER

Answered 2021-Jun-28 at 14:20

Using debezium mysql connect for Kafka

You can set that to use AvroConverter, then the subject will be created automatically

Otherwise, you can have KSQL use VALUE_FORMAT=JSON and you need to manually specify all the field names. Unclear what difference you're asking about (they are different serialization formats), but from a KSQL perspective, JSON alone is seen as plain-text (similar to DELIMITED) and needs to be parsed, as compared to the other formats like Avro where the schema+fields are already known.

Source https://stackoverflow.com/questions/68148783

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install debezium

You can download it from GitHub, Maven.
You can use debezium like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the debezium component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

Support

The Debezium community welcomes anyone that wants to help out in any way, whether that includes reporting problems, helping with documentation, or contributing code changes to fix bugs, add tests, or implement new features. See this document for details.

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