Hive
Hive sink connector
Descriptionâ
Write data to Hive.
tip
In order to use this connector, You must ensure your spark/flink cluster already integrated hive. The tested hive version is 2.3.9.
If you use SeaTunnel Engine, You need put seatunnel-hadoop3-3.1.4-uber.jar and hive-exec-2.3.9.jar in $SEATUNNEL_HOME/lib/ dir.
Key featuresâ
By default, we use 2PC commit to ensure exactly-once
- file format
- text
- csv
- parquet
- orc
- json
- compress codec
- lzo
Optionsâ
name | type | required | default value |
---|---|---|---|
table_name | string | yes | - |
metastore_uri | string | yes | - |
compress_codec | string | no | none |
hdfs_site_path | string | no | - |
kerberos_principal | string | no | - |
kerberos_keytab_path | string | no | - |
common-options | no | - |
table_name [string]â
Target Hive table name eg: db1.table1
metastore_uri [string]â
Hive metastore uri
hdfs_site_path [string]â
The path of hdfs-site.xml
, used to load ha configuration of namenodes
kerberos_principal [string]â
The principal of kerberos
kerberos_keytab_path [string]â
The keytab path of kerberos
common optionsâ
Sink plugin common parameters, please refer to Sink Common Options for details
Exampleâ
Hive {
table_name = "default.seatunnel_orc"
metastore_uri = "thrift://namenode001:9083"
}
example 1â
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
parallelism = 3
job.name="test_hive_source_to_hive"
}
source {
Hive {
table_name = "test_hive.test_hive_source"
metastore_uri = "thrift://ctyun7:9083"
}
}
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"
}
}
Changelogâ
2.2.0-beta 2022-09-26â
- Add Hive Sink Connector
2.3.0-beta 2022-10-20â
- [Improve] Hive Sink supports automatic partition repair (3133)
2.3.0 2022-12-30â
- [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