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Hive

Hive sink connector

Description

Write data to Hive.

In order to use this connector, You must ensure your spark/flink cluster already integrated hive. The tested hive version is 2.3.9.

Tips: Hive Sink Connector not support array, map and struct datatype now

Key features

By default, we use 2PC commit to ensure exactly-once

Options

name type required default value
table_name string yes -
metastore_uri string yes -
common-options no -

table_name [string]

Target Hive table name eg: db1.table1

metastore_uri [string]

Hive metastore uri

common options

Sink plugin common parameters, please refer to Sink Common Options for details

Example

  Hive {
    table_name = "default.seatunnel_orc"
    metastore_uri = "thrift://namenode001:9083"
  }

example 1

We have a source table like this:

create table test_hive_source(
     test_tinyint                          TINYINT,
     test_smallint                       SMALLINT,
     test_int                                INT,
     test_bigint                           BIGINT,
     test_boolean                       BOOLEAN,
     test_float                             FLOAT,
     test_double                         DOUBLE,
     test_string                           STRING,
     test_binary                          BINARY,
     test_timestamp                  TIMESTAMP,
     test_decimal                       DECIMAL(8,2),
     test_char                             CHAR(64),
     test_varchar                        VARCHAR(64),
     test_date                             DATE,
     test_array                            ARRAY<INT>,
     test_map                              MAP<STRING, FLOAT>,
     test_struct                           STRUCT<street:STRING, city:STRING, state:STRING, zip:INT>
     )
PARTITIONED BY (test_par1 STRING, test_par2 STRING);

We need read data from the source table and write to another table:

create table test_hive_sink_text_simple(
     test_tinyint                          TINYINT,
     test_smallint                       SMALLINT,
     test_int                                INT,
     test_bigint                           BIGINT,
     test_boolean                       BOOLEAN,
     test_float                             FLOAT,
     test_double                         DOUBLE,
     test_string                           STRING,
     test_binary                          BINARY,
     test_timestamp                  TIMESTAMP,
     test_decimal                       DECIMAL(8,2),
     test_char                             CHAR(64),
     test_varchar                        VARCHAR(64),
     test_date                             DATE
     )
PARTITIONED BY (test_par1 STRING, test_par2 STRING);

The job config file can like this:

env {
  # You can set flink configuration here
  execution.parallelism = 3
  job.name="test_hive_source_to_hive"
}

source {
  Hive {
    table_name = "test_hive.test_hive_source"
    metastore_uri = "thrift://ctyun7:9083"
  }
}

transform {
}

sink {
  # choose stdout output plugin to output data to console

  Hive {
    table_name = "test_hive.test_hive_sink_text_simple"
    metastore_uri = "thrift://ctyun7:9083"
    partition_by = ["test_par1", "test_par2"]
    sink_columns = ["test_tinyint", "test_smallint", "test_int", "test_bigint", "test_boolean", "test_float", "test_double", "test_string", "test_binary", "test_timestamp", "test_decimal", "test_char", "test_varchar", "test_date", "test_par1", "test_par2"]
  }
}

Changelog

2.2.0-beta 2022-09-26

  • Add Hive Sink Connector

2.3.0-beta 2022-10-20

  • [Improve] Hive Sink supports automatic partition repair (3133)

Next version

  • [BugFix] Fixed the following bugs that failed to write data to files (3258)
    • When field from upstream is null it will throw NullPointerException
    • Sink columns mapping failed
    • When restore writer from states getting transaction directly failed