Project: SeaTunnel (App Definition and Development / Streaming & Messaging)
File: HiveJdbc.md

JDBC Hive Source Connector Definitely supports 3.1.3 and 3.1.2, other versions need to be tested. Spark<br/> Flink<br/> SeaTunnel Zeta<br/> supports query SQL and can achieve projection effect. Read external data source data through JDBC. | Datasource | Supported versions | Driver | Url | Maven | ||-||--|--| | Hive | Different dependency version has different driver class. | org.apache.hive.jdbc.HiveDriver | jdbc:hive2://localhost:10000/default | | Please download the support list corresponding to 'Maven' and copy it to the '$SEATNUNNEL_HOME/plugins/jdbc/lib/' working directory<br/> For example Hive datasource: cp hive-jdbc-xxx.jar $SEATNUNNEL_HOME/plugins/jdbc/lib/ | Hive Data Type | SeaTunnel Data Type | |-|| | BOOLEAN | BOOLEAN | | TINYINT<br/> SMALLINT | SHORT | | INT<br/>INTEGER | INT | | BIGINT | LONG | | FLOAT | FLOAT | | DOUBLE<br/>DOUBLE PRECISION | DOUBLE | | DECIMAL(x,y)<br/>NUMERIC(x,y)<br/>(Get the designated column's specified column size.<38) | DECIMAL(x,y) | | DECIMAL(x,y)<br/>NUMERIC(x,y)<br/>(Get the designated column's specified column size.>38) | DECIMAL(38,18) | | CHAR<br/>VARCHAR<br/>STRING | STRING | | DATE | DATE | | DATETIME<br/>TIMESTAMP | TIMESTAMP | | BINARY<br/> ARRAY <br/>INTERVAL <br/>MAP <br/>STRUCT<br/>UNIONTYPE | Not supported yet | | Name | Type | Required | Default | Description | |||-|--|-| | url | String | Yes | - | The URL of the JDBC connection. Refer to a case: jdbc:hive2://localhost:10000/default | | driver | String | Yes | - | The jdbc class name used to connect to the remote data source,<br/> if you use Hive the value is `org.apache.hive.jdbc.HiveDriver`. | | user | String | No | - | Connection instance user name | | password | String | No | - | Connection instance password | | query | String | Yes | - | Query statement | | connectionchecktimeout_sec | Int | No | 30 | The time in seconds to wait for the database operation used to validate the connection to complete | | partition_column | String | No | - | The column name for parallelism's partition, only support numeric type,Only support numeric type primary key, and only can config one column. | | partitionlowerbound | BigDecimal | No | - | The partition_column min value for scan, if not set SeaTunnel will query database get min value. | | partitionupperbound | BigDecimal | No | - | The partition_column max value for scan, if not set SeaTunnel will query database get max value. | | partition_num | Int | No | job parallelism | The number of partition count, only support positive

default value is job parallelism | | fetch_size | Int | No | 0 | For queries that return a large number of objects,you can configure<br/> the row fetch size used in the query toimprove performance by<br/> reducing the number database hits required to satisfy the selection criteria.<br/> Zero means use jdbc default value. | | common-options | | No | - | Source plugin common parameters, please refer to for details | | useKerberos | Boolean | No | no | Whether to enable Kerberos, default is false | | kerberosprincipal | String | No | - | When use kerberos, we should set kerberos principal such as 'testuser@xxx'. | | kerberoskeytabpath | String | No | - | When use kerberos, we should set kerberos principal file path such as '/home/test/test_user.keytab' . | | krb5_path | String | No | /etc/krb5.conf | When use kerberos, we should set krb5 path file path such as '/seatunnel/krb5.conf' or use the default path '/etc/krb5.conf '. | If partitioncolumn is not set, it will run in single concurrency, and if partitioncolumn is set, it will be executed in parallel according to the concurrency of tasks , When your shard read field is a large number type such as bigint( and above and the data is not evenly distributed, it is recommended to set the parallelism level to 1 to ensure that the data skew problem is resolved This example queries type_bin 'table' 16 data in your test "database" in single parallel and queries all of its fields. You can also specify which fields to query for final output to the console. ``` env { parallelism = 2 job.mode = "BATCH" } source{ Jdbc { url = "jdbc:hive2://localhost:10000/default" driver = "org.apache.hive.jdbc.HiveDriver" connectionchecktimeout_sec = 100 query = "select * from type_bin limit 16" } } transform { } sink { Console {} } ``` Read your query table in parallel with the shard field you configured and the shard data You can do this if you want to read the whole table ``` source { Jdbc { url = "jdbc:hive2://localhost:10000/default" driver = "org.apache.hive.jdbc.HiveDriver" connectionchecktimeout_sec = 100 query = "select * from type_bin" partition_column = "id" partition_num = 10 } } ``` It is more efficient to specify the data within the upper and lower bounds of the query It is more efficient to read your data source according to the upper and lower boundaries you configured ``` source { Jdbc { url = "jdbc:hive2://localhost:10000/default" driver = "org.apache.hive.jdbc.HiveDriver" connectionchecktimeout_sec = 100 query = "select * from type_bin" partition_column = "id" partitionlowerbound = 1 partitionupperbound = 500 partition_num = 10 } } ```