Replicate Data to Kafka
This document describes how to create a changefeed that replicates incremental data to Apache Kafka using TiCDC.
Create a replication task
Create a replication task by running the following command:
cdc cli changefeed create \
--server=http://10.0.10.25:8300 \
--sink-uri="kafka://127.0.0.1:9092/topic-name?protocol=canal-json&kafka-version=2.4.0&partition-num=6&max-message-bytes=67108864&replication-factor=1" \
--changefeed-id="simple-replication-task"
Create changefeed successfully!
ID: simple-replication-task
Info: {"sink-uri":"kafka://127.0.0.1:9092/topic-name?protocol=canal-json&kafka-version=2.4.0&partition-num=6&max-message-bytes=67108864&replication-factor=1","opts":{},"create-time":"2020-03-12T22:04:08.103600025+08:00","start-ts":415241823337054209,"target-ts":0,"admin-job-type":0,"sort-engine":"unified","sort-dir":".","config":{"case-sensitive":true,"filter":{"rules":["*.*"],"ignore-txn-start-ts":null,"ddl-allow-list":null},"mounter":{"worker-num":16},"sink":{"dispatchers":null},"scheduler":{"type":"table-number","polling-time":-1}},"state":"normal","history":null,"error":null}
--server
: The address of any TiCDC server in the TiCDC cluster.--changefeed-id
: The ID of the replication task. The format must match the^[a-zA-Z0-9]+(\-[a-zA-Z0-9]+)*$
regular expression. If this ID is not specified, TiCDC automatically generates a UUID (the version 4 format) as the ID.--sink-uri
: The downstream address of the replication task. For details, see Configure sink URI withkafka
.--start-ts
: Specifies the starting TSO of the changefeed. From this TSO, the TiCDC cluster starts pulling data. The default value is the current time.--target-ts
: Specifies the ending TSO of the changefeed. To this TSO, the TiCDC cluster stops pulling data. The default value is empty, which means that TiCDC does not automatically stop pulling data.--config
: Specifies the changefeed configuration file. For details, see TiCDC Changefeed Configuration Parameters.
Configure sink URI for Kafka
Sink URI is used to specify the connection information of the TiCDC target system. The format is as follows:
[scheme]://[userinfo@][host]:[port][/path]?[query_parameters]
Sample configuration:
--sink-uri="kafka://127.0.0.1:9092/topic-name?protocol=canal-json&kafka-version=2.4.0&partition-num=6&max-message-bytes=67108864&replication-factor=1"
The following are descriptions of sink URI parameters and values that can be configured for Kafka:
Parameter/Parameter value | Description |
---|---|
127.0.0.1 | The IP address of the downstream Kafka services. |
9092 | The port for the downstream Kafka. |
topic-name | Variable. The name of the Kafka topic. |
kafka-version | The version of the downstream Kafka (optional, 2.4.0 by default. Currently, the earliest supported Kafka version is 0.11.0.2 and the latest one is 3.2.0 . This value needs to be consistent with the actual version of the downstream Kafka). |
kafka-client-id | Specifies the Kafka client ID of the replication task (optional. TiCDC_sarama_producer_replication ID by default). |
partition-num | The number of the downstream Kafka partitions (optional. The value must be no greater than the actual number of partitions; otherwise, the replication task cannot be created successfully. 3 by default). |
max-message-bytes | The maximum size of data that is sent to Kafka broker each time (optional, 10MB by default). From v5.0.6 and v4.0.6, the default value has changed from 64MB and 256MB to 10MB . |
replication-factor | The number of Kafka message replicas that can be saved (optional, 1 by default). |
required-acks | A parameter used in the Produce request, which notifies the broker of the number of replica acknowledgements it needs to receive before responding. Value options are 0 (NoResponse : no response, only TCP ACK is provided), 1 (WaitForLocal : responds only after local commits are submitted successfully), and -1 (WaitForAll : responds after all replicated replicas are committed successfully. You can configure the minimum number of replicated replicas using the min.insync.replicas configuration item of the broker). (Optional, the default value is -1 ). |
compression | The compression algorithm used when sending messages (value options are none , lz4 , gzip , snappy , and zstd ; none by default). |
protocol | The protocol with which messages are output to Kafka. The value options are canal-json , open-protocol , canal , avro and maxwell . |
auto-create-topic | Determines whether TiCDC creates the topic automatically when the topic-name passed in does not exist in the Kafka cluster (optional, true by default). |
enable-tidb-extension | Optional. false by default. When the output protocol is canal-json , if the value is true , TiCDC sends Resolved events and adds the TiDB extension field to the Kafka message. From v6.1.0, this parameter is also applicable to the avro protocol. If the value is true , TiCDC adds three TiDB extension fields to the Kafka message. |
max-batch-size | New in v4.0.9. If the message protocol supports outputting multiple data changes to one Kafka message, this parameter specifies the maximum number of data changes in one Kafka message. It currently takes effect only when Kafka's protocol is open-protocol (optional, 16 by default). |
enable-tls | Whether to use TLS to connect to the downstream Kafka instance (optional, false by default). |
ca | The path of the CA certificate file needed to connect to the downstream Kafka instance (optional). |
cert | The path of the certificate file needed to connect to the downstream Kafka instance (optional). |
key | The path of the certificate key file needed to connect to the downstream Kafka instance (optional). |
sasl-user | The identity (authcid) of SASL/PLAIN or SASL/SCRAM authentication needed to connect to the downstream Kafka instance (optional). |
sasl-password | The password of SASL/PLAIN or SASL/SCRAM authentication needed to connect to the downstream Kafka instance (optional). If it contains special characters, they need to be URL encoded. |
sasl-mechanism | The name of SASL authentication needed to connect to the downstream Kafka instance. The value can be plain , scram-sha-256 , scram-sha-512 , or gssapi . |
sasl-gssapi-auth-type | The gssapi authentication type. Values can be user or keytab (optional). |
sasl-gssapi-keytab-path | The gssapi keytab path (optional). |
sasl-gssapi-kerberos-config-path | The gssapi kerberos configuration path (optional). |
sasl-gssapi-service-name | The gssapi service name (optional). |
sasl-gssapi-user | The user name of gssapi authentication (optional). |
sasl-gssapi-password | The password of gssapi authentication (optional). If it contains special characters, they need to be URL encoded. |
sasl-gssapi-realm | The gssapi realm name (optional). |
sasl-gssapi-disable-pafxfast | Whether to disable the gssapi PA-FX-FAST (optional). |
dial-timeout | The timeout in establishing a connection with the downstream Kafka. The default value is 10s . |
read-timeout | The timeout in getting a response returned by the downstream Kafka. The default value is 10s . |
write-timeout | The timeout in sending a request to the downstream Kafka. The default value is 10s . |
avro-decimal-handling-mode | Only effective with the avro protocol. Determines how Avro handles the DECIMAL field. The value can be string or precise , indicating either mapping the DECIMAL field to a string or a precise floating number. |
avro-bigint-unsigned-handling-mode | Only effective with the avro protocol. Determines how Avro handles the BIGINT UNSIGNED field. The value can be string or long , indicating either mapping the BIGINT UNSIGNED field to a 64-bit signed number or a string. |
Best practices
- It is recommended that you create your own Kafka Topic. At a minimum, you need to set the maximum amount of data of each message that the Topic can send to the Kafka broker, and the number of downstream Kafka partitions. When you create a changefeed, these two settings correspond to
max-message-bytes
andpartition-num
, respectively. - If you create a changefeed with a Topic that does not yet exist, TiCDC will try to create the Topic using the
partition-num
andreplication-factor
parameters. It is recommended that you specify these parameters explicitly. - In most cases, it is recommended to use the
canal-json
protocol.
TiCDC uses the authentication and authorization of Kafka
The following are examples when using Kafka SASL authentication:
SASL/PLAIN
--sink-uri="kafka://127.0.0.1:9092/topic-name?kafka-version=2.4.0&sasl-user=alice-user&sasl-password=alice-secret&sasl-mechanism=plain"SASL/SCRAM
SCRAM-SHA-256 and SCRAM-SHA-512 are similar to the PLAIN method. You just need to specify
sasl-mechanism
as the corresponding authentication method.SASL/GSSAPI
SASL/GSSAPI
user
authentication:--sink-uri="kafka://127.0.0.1:9092/topic-name?kafka-version=2.4.0&sasl-mechanism=gssapi&sasl-gssapi-auth-type=user&sasl-gssapi-kerberos-config-path=/etc/krb5.conf&sasl-gssapi-service-name=kafka&sasl-gssapi-user=alice/for-kafka&sasl-gssapi-password=alice-secret&sasl-gssapi-realm=example.com"Values of
sasl-gssapi-user
andsasl-gssapi-realm
are related to the principle specified in kerberos. For example, if the principle is set asalice/for-kafka@example.com
, thensasl-gssapi-user
andsasl-gssapi-realm
are specified asalice/for-kafka
andexample.com
respectively.SASL/GSSAPI
keytab
authentication:--sink-uri="kafka://127.0.0.1:9092/topic-name?kafka-version=2.4.0&sasl-mechanism=gssapi&sasl-gssapi-auth-type=keytab&sasl-gssapi-kerberos-config-path=/etc/krb5.conf&sasl-gssapi-service-name=kafka&sasl-gssapi-user=alice/for-kafka&sasl-gssapi-keytab-path=/var/lib/secret/alice.key&sasl-gssapi-realm=example.com"For more information about SASL/GSSAPI authentication methods, see Configuring GSSAPI.
TLS/SSL encryption
If the Kafka broker has TLS/SSL encryption enabled, you need to add the
-enable-tls=true
parameter to--sink-uri
. If you want to use self-signed certificates, you also need to specifyca
,cert
andkey
in--sink-uri
.ACL authorization
The minimum set of permissions required for TiCDC to function properly is as follows.
- The
Create
andWrite
permissions for the Topic resource type. - The
DescribeConfigs
permission for the Cluster resource type.
- The
Integrate TiCDC with Kafka Connect (Confluent Platform)
To use the data connectors provided by Confluent to stream data to relational or non-relational databases, you need to use the avro
protocol and provide a URL for Confluent Schema Registry in schema-registry
.
Sample configuration:
--sink-uri="kafka://127.0.0.1:9092/topic-name?&protocol=avro&replication-factor=3" --schema-registry="http://127.0.0.1:8081" --config changefeed_config.toml
[sink]
dispatchers = [
{matcher = ['*.*'], topic = "tidb_{schema}_{table}"},
]
For detailed integration guide, see Quick Start Guide on Integrating TiDB with Confluent Platform.
Customize the rules for Topic and Partition dispatchers of Kafka Sink
Matcher rules
In the example of the previous section:
- For the tables that match the matcher rule, they are dispatched according to the policy specified by the corresponding topic expression. For example, the
test3.aa
table is dispatched according to "Topic expression 2"; thetest5.aa
table is dispatched according to "Topic expression 3". - For a table that matches multiple matcher rules, it is dispatched according to the first matching topic expression. For example, the
test1.aa
table is distributed according to "Topic expression 1". - For tables that do not match any matcher rule, the corresponding data change events are sent to the default topic specified in
--sink-uri
. For example, thetest10.aa
table is sent to the default topic. - For tables that match the matcher rule but do not specify a topic dispatcher, the corresponding data changes are sent to the default topic specified in
--sink-uri
. For example, thetest6.aa
table is sent to the default topic.
Topic dispatchers
You can use topic = "xxx" to specify a Topic dispatcher and use topic expressions to implement flexible topic dispatching policies. It is recommended that the total number of topics be less than 1000.
The format of the Topic expression is [prefix]{schema}[middle][{table}][suffix]
.
prefix
: optional. Indicates the prefix of the Topic Name.{schema}
: required. Used to match the schema name.middle
: optional. Indicates the delimiter between schema name and table name.{table}
: optional. Used to match the table name.suffix
: optional. Indicates the suffix of the Topic Name.
prefix
, middle
and suffix
can only include the following characters: a-z
, A-Z
, 0-9
, .
, _
and -
. {schema}
and {table}
are both lowercase. Placeholders such as {Schema}
and {TABLE}
are invalid.
Some examples:
matcher = ['test1.table1', 'test2.table2'], topic = "hello_{schema}_{table}"
- The data change events corresponding to
test1.table1
are sent to the topic namedhello_test1_table1
. - The data change events corresponding to
test2.table2
are sent to the topic namedhello_test2_table2
.
- The data change events corresponding to
matcher = ['test3.*', 'test4.*'], topic = "hello_{schema}_world"
- The data change events corresponding to all tables in
test3
are sent to the topic namedhello_test3_world
. - The data change events corresponding to all tables in
test4
are sent to the topic namedhello_test4_world
.
- The data change events corresponding to all tables in
matcher = ['*.*'], topic = "{schema}_{table}"
- All tables listened by TiCDC are dispatched to separate topics according to the "schema_table" rule. For example, for the
test.account
table, TiCDC dispatches its data change log to a Topic namedtest_account
.
- All tables listened by TiCDC are dispatched to separate topics according to the "schema_table" rule. For example, for the
Dispatch DDL events
Schema-level DDLs
DDLs that are not related to a specific table are called schema-level DDLs, such as create database
and drop database
. The events corresponding to schema-level DDLs are sent to the default topic specified in --sink-uri
.
Table-level DDLs
DDLs that are related to a specific table are called table-level DDLs, such as alter table
and create table
. The events corresponding to table-level DDLs are sent to the corresponding topic according to dispatcher configurations.
For example, for a dispatcher like matcher = ['test.*'], topic = {schema}_{table}
, DDL events are dispatched as follows:
- If a single table is involved in the DDL event, the DDL event is sent to the corresponding topic as is. For example, for the DDL event
drop table test.table1
, the event is sent to the topic namedtest_table1
. - If multiple tables are involved in the DDL event (
rename table
/drop table
/drop view
may involve multiple tables), the DDL event is split into multiple events and sent to the corresponding topics. For example, for the DDL eventrename table test.table1 to test.table10, test.table2 to test.table20
, the eventrename table test.table1 to test.table10
is sent to the topic namedtest_table1
and the eventrename table test.table2 to test.table20
is sent to the topic namedtest.table2
.
Partition dispatchers
You can use partition = "xxx"
to specify a partition dispatcher. It supports four dispatchers: default, ts, index-value, and table. The dispatcher rules are as follows:
- default: When multiple unique indexes (including the primary key) exist or the Old Value feature is enabled, events are dispatched in the table mode. When only one unique index (or the primary key) exists, events are dispatched in the index-value mode.
- ts: Use the commitTs of the row change to hash and dispatch events.
- index-value: Use the value of the primary key or the unique index of the table to hash and dispatch events.
- table: Use the schema name of the table and the table name to hash and dispatch events.
Scale out the load of a single large table to multiple TiCDC nodes
This feature splits a single large table into multiple data ranges based on the number of Regions, and distributes these data ranges to multiple TiCDC nodes so that multiple TiCDC nodes can replicate the large single table at the same time. This feature can solve the following two problems:
- A single TiCDC node cannot replicate a large single table in time.
- The resources (such as CPU and memory) consumed by TiCDC nodes are not evenly distributed.
Sample configuration:
[scheduler]
region-per-span = 50000