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- Releases Notes and Announcements
- Product Introduction
- Purchase Guide
- Getting Started
- Operation Guide
- SQL Developer Guide
- Python Developer Guide
- ETL Developer Guide
- FAQ
- Contact Us
Overview
The Kudu connector allows data reading from and writing to Kudu.
Versions
Flink Version | Description |
1.11 | Supported |
1.13 | Supported |
1.14 | Unsupported |
1.16 | Supported |
Use cases
The Kudu connector can be used as a source (for a general table and the right table in dimension-table join), a sink for tuple streams, and a source for upsert streams to allow data reading from and writing to Kudu.
Defining a table in DDL
As a source
CREATE TABLE `kudu_source_table` (`id` INT,`name` STRING) WITH (-- Specify the options to connect Kudu.'connector' = 'kudu','kudu.masters' = 'master-01:7051,master-02:7051,master-03:7051', -- The connection URL.'kudu.table' = 'TableName1', -- Replace it with the table in Kudu, such as "default.TestTable1".'kudu.hash-columns' = 'id', -- The hash key (optional).'kudu.primary-key-columns' = 'id', -- The primary key (optional).'kudu.operation-timeout' = '10000', -- The insert timeout period (optional).'kudu.max-buffer-size' = '2000', -- The buffer size (optional).'kudu.flush-interval' = '1000' -- The interval of data flush to Kudu (optional).);
As a sink (for tuple streams)
CREATE TABLE `kudu_sink_table` (`id` INT,`name` STRING) WITH (-- Specify the options to connect Kudu.'connector' = 'kudu','kudu.masters' = 'master-01:7051,master-02:7051,master-03:7051', -- The connection URL.'kudu.table' = 'TableName1', -- Replace it with the table in Kudu, such as "default.TestTable1".'kudu.igonre-duplicate' = 'true' -- (Optional) If this option is set to `true`, the data will be ignored if its primary key is identical with that of existing data.);
As a sink (for upsert streams)
CREATE TABLE `kudu_upsert_sink_table` (`id` INT,`name` STRING) WITH (-- Specify the options to connect Kudu.'connector' = 'kudu','kudu.masters' = 'master-01:7051,master-02:7051,master-03:7051', -- The connection URL.'kudu.table' = 'TableName1', -- Replace it with the table in Kudu, such as "default.TestTable1".'kudu.hash-columns' = 'id', -- The hash key (optional).'kudu.primary-key-columns' = 'id', -- The primary key (required). When this connector is used as an upsert sink, a primary key is required.);
WITH parameters
Option | Required | Default Value | Description |
connector.type | Yes | None | For connection to a Kudu database, it must be 'kudu'. |
kudu.masters | Yes | None | The URL of the Kudu database master server, with a default port of 7051. If the Kudu component provided by Tencent Cloud is used, you can find the master server IP and port this way: Log in to the EMR console, click ID/Name of the target cluster in the cluster list to go to its details page, and select Cluster services > Kudu > Operation > View port. |
kudu.table | Yes | None | The name of the Kudu table. For example, a Kudu table created through Impala is generally named as impala::db_name.table_name, and one created with Java API as db_name.tablename. |
kudu.hash-columns | No | None | The hash key. |
kudu.primary-key-columns | No | None | The primary key. |
kudu.replicas | No | None | The number of replicas. |
kudu.operation-timeout | No | 30000 | The insert timeout period in ms. |
kudu.max-buffer-size | No | 1000 | Default value: 1000. |
kudu.flush-interval | No | 1000 | Default value: 1000. |
kudu.ignore-not-found | No | false | Whether to ignore the data that is not found. |
kudu.ignore-duplicate | No | false | Whether to ignore the data whose primary key is identical with that of existing data. |
Data type mapping
Flink Type | Kudu Type |
STRING | STRING |
BOOLEAN | BOOL |
TINYINT | INT8 |
SMALLINT | INT16 |
INT | INT32 |
BIGINT | INT64 |
FLOAT | FLOAT |
DOUBLE | DOUBLE |
BYTES | BINARY |
TIMESTAMP(3) | UNIXTIME_MICROS |
Example
CREATE TABLE `kudu_source_table` (`id` INT,`name` STRING) WITH (-- Specify the options to connect Kudu.'connector' = 'kudu','kudu.masters' = 'master-01:7051,master-02:7051,master-03:7051', -- The connection URL.'kudu.table' = 'TableName1', -- Replace it with the table in Kudu, such as "default.TestTable1".'kudu.hash-columns' = 'id', -- The hash key (optional).'kudu.primary-key-columns' = 'id', -- The primary key (optional).'kudu.operation-timeout' = '10000', -- The insert timeout period (optional).'kudu.max-buffer-size' = '2000', -- The buffer size (optional).'kudu.flush-interval' = '1000' -- The interval of data flush to Kudu (optional).);CREATE TABLE `kudu_upsert_sink_table` (`id` INT,`name` STRING) WITH (-- Specify the options to connect Kudu.'connector' = 'kudu','kudu.masters' = 'master-01:7051,master-02:7051,master-03:7051', -- The connection URL.'kudu.table' = 'TableName1', -- Replace it with the table in Kudu, such as "default.TestTable1".'kudu.hash-columns' = 'id', -- The hash key (optional).'kudu.primary-key-columns' = 'id', -- The primary key (required). When this connector is used as an upsert sink, a primary key is required.);insert into kudu_upsert_sink_table select * from kudu_source_table;
Notes
1. To query a Kudu table in Impala, you need to first check whether an external table is created.
2. By default, a table created using a way other than Impala Shell has no external table in Impala, and you need to create an external table for this table to query its records.
3. When the Kudu connector is used as a Stream Compute Service sink, if the sink table does not exist in the Kudu database, an internal table will be created there.
Kudu authentication with Kerberos
1. Log in to the cluster master node to get the files
krb5.conf and emr.keytab in the following paths./etc/krb5.conf/var/krb5kdc/emr.keytab
2. Package the files into a JAR file.
jar cvf kudu-xxx.jar krb5.conf emr.keytab
3. Check the JAR structure (run the Vim command
vim kudu-xxx.jar). Make sure the JAR file includes the following information and has the correct structure.META-INF/META-INF/MANIFEST.MFemr.keytabkrb5.conf
4. Upload the JAR file to the Dependencies page of the Stream Compute Service console, and reference the package when configuring job parameters.
5. Get the Kerberos principal and configure it in advanced job parameters.
klist -kt /var/krb5kdc/emr.keytab# The output is as shown below, and you can just use the first principal: hadoop/172.28.22.43@EMR-E4331BF2KVNO Timestamp Principal---- ------------------- ------------------------------------------------------2 07/06/2023 18:50:41 hadoop/172.28.22.43@EMR-E4331BF22 07/06/2023 18:50:41 HTTP/172.28.22.43@EMR-E4331BF22 07/06/2023 18:50:41 kudu/172.28.22.43@EMR-E4331BF2
6. Configure the principle in advanced job parameters.
containerized.taskmanager.env.HADOOP_USER_NAME: hadoopcontainerized.master.env.HADOOP_USER_NAME: hadoopsecurity.kerberos.login.principal: hadoop/172.28.22.43@EMR-E4331BF2security.kerberos.login.keytab: emr.keytabsecurity.kerberos.login.conf: krb5.conffs.hdfs.hadoop.security.authentication: kerberos
Note
Kudu authentication with Kerberos may be unavailable to some existing Stream Compute Service clusters. To use this feature, please contact us to upgrade the cluster management service.
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