import ChangeLog from ‘../changelog/connector-iotdb.md’;
IoTDB sink connector
Spark
Flink
SeaTunnel Zeta
Used to write data to IoTDB.
- You need to ensure that the jdbc driver jar package has been placed in directory
${SEATUNNEL_HOME}/plugins/
.
- You need to ensure that the jdbc driver jar package has been placed in directory
${SEATUNNEL_HOME}/lib/
.
IoTDB supports the exactly-once
feature through idempotent writing. If two pieces of data have the same key
and timestamp
, the new data will overwrite the old one.
:::tip
There is a conflict of thrift version between IoTDB and Spark.Therefore, you need to execute rm -f $SPARK_HOME/jars/libthrift*
and cp $IOTDB_HOME/lib/libthrift* $SPARK_HOME/jars/
to resolve it.
:::
Datasource | Supported Versions | Url |
---|---|---|
IoTDB | >= 0.13.0 | localhost:6667 |
IotDB Data Type | SeaTunnel Data Type |
---|---|
BOOLEAN | BOOLEAN |
INT32 | TINYINT |
INT32 | SMALLINT |
INT32 | INT |
INT64 | BIGINT |
FLOAT | FLOAT |
DOUBLE | DOUBLE |
TEXT | STRING |
Name | Type | Required | Default | Description |
---|---|---|---|---|
node_urls | String | Yes | - | IoTDB cluster address, the format is "host1:port" or "host1:port,host2:port" |
username | String | Yes | - | IoTDB user username |
password | String | Yes | - | IoTDB user password |
key_device | String | Yes | - | Specify field name of the IoTDB deviceId in SeaTunnelRow |
key_timestamp | String | No | processing time | Specify field-name of the IoTDB timestamp in SeaTunnelRow. If not specified, use processing-time as timestamp |
key_measurement_fields | Array | No | exclude device & timestamp | Specify field-name of the IoTDB measurement list in SeaTunnelRow. If not specified, include all fields but exclude device & timestamp |
storage_group | Array | No | - | Specify device storage group(path prefix) example: deviceId = ${storage_group} + “.” + ${key_device} |
batch_size | Integer | No | 1024 | For batch writing, when the number of buffers reaches the number of batch_size or the time reaches batch_interval_ms , the data will be flushed into the IoTDB |
max_retries | Integer | No | - | The number of retries to flush failed |
retry_backoff_multiplier_ms | Integer | No | - | Using as a multiplier for generating the next delay for backoff |
max_retry_backoff_ms | Integer | No | - | The amount of time to wait before attempting to retry a request to IoTDB |
default_thrift_buffer_size | Integer | No | - | Thrift init buffer size in IoTDB client |
max_thrift_frame_size | Integer | No | - | Thrift max frame size in IoTDB client |
zone_id | string | No | - | java.time.ZoneId in IoTDB client |
enable_rpc_compression | Boolean | No | - | Enable rpc compression in IoTDB client |
connection_timeout_in_ms | Integer | No | - | The maximum time (in ms) to wait when connecting to IoTDB |
common-options | no | - | Sink plugin common parameters, please refer to Sink Common Options for details |
env { parallelism = 2 job.mode = "BATCH" } source { FakeSource { row.num = 16 bigint.template = [1664035200001] schema = { fields { device_name = "string" temperature = "float" moisture = "int" event_ts = "bigint" c_string = "string" c_boolean = "boolean" c_tinyint = "tinyint" c_smallint = "smallint" c_int = "int" c_bigint = "bigint" c_float = "float" c_double = "double" } } } }
Upstream SeaTunnelRow data format is the following:
device_name | temperature | moisture | event_ts | c_string | c_boolean | c_tinyint | c_smallint | c_int | c_bigint | c_float | c_double |
---|---|---|---|---|---|---|---|---|---|---|---|
root.test_group.device_a | 36.1 | 100 | 1664035200001 | abc1 | true | 1 | 1 | 1 | 2147483648 | 1.0 | 1.0 |
root.test_group.device_b | 36.2 | 101 | 1664035200001 | abc2 | false | 2 | 2 | 2 | 2147483649 | 2.0 | 2.0 |
root.test_group.device_c | 36.3 | 102 | 1664035200001 | abc3 | false | 3 | 3 | 3 | 2147483649 | 3.0 | 3.0 |
only fill required config. use current processing time as timestamp. and include all fields but exclude device
& timestamp
as measurement fields
sink { IoTDB { node_urls = "localhost:6667" username = "root" password = "root" key_device = "device_name" # specify the `deviceId` use device_name field } }
Output to IoTDB
data format is the following:
IoTDB> SELECT * FROM root.test_group.* align by device; +------------------------+------------------------+--------------+-----------+--------------+---------+----------+----------+-----------+------+-----------+--------+---------+ | Time| Device| temperature| moisture| event_ts| c_string| c_boolean| c_tinyint| c_smallint| c_int| c_bigint| c_float| c_double| +------------------------+------------------------+--------------+-----------+--------------+---------+----------+----------+-----------+------+-----------+--------+---------+ |2023-09-01T00:00:00.001Z|root.test_group.device_a| 36.1| 100| 1664035200001| abc1| true| 1| 1| 1| 2147483648| 1.0| 1.0| |2023-09-01T00:00:00.001Z|root.test_group.device_b| 36.2| 101| 1664035200001| abc2| false| 2| 2| 2| 2147483649| 2.0| 2.0| |2023-09-01T00:00:00.001Z|root.test_group.device_c| 36.3| 102| 1664035200001| abc2| false| 3| 3| 3| 2147483649| 3.0| 3.0| +------------------------+------------------------+--------------+-----------+--------------+---------+---------+-----------+-----------+------+-----------+--------+---------+
use source event's time
sink { IoTDB { node_urls = "localhost:6667" username = "root" password = "root" key_device = "device_name" # specify the `deviceId` use device_name field key_timestamp = "event_ts" # specify the `timestamp` use event_ts field } }
Output to IoTDB
data format is the following:
IoTDB> SELECT * FROM root.test_group.* align by device; +------------------------+------------------------+--------------+-----------+--------------+---------+----------+----------+-----------+------+-----------+--------+---------+ | Time| Device| temperature| moisture| event_ts| c_string| c_boolean| c_tinyint| c_smallint| c_int| c_bigint| c_float| c_double| +------------------------+------------------------+--------------+-----------+--------------+---------+----------+----------+-----------+------+-----------+--------+---------+ |2022-09-25T00:00:00.001Z|root.test_group.device_a| 36.1| 100| 1664035200001| abc1| true| 1| 1| 1| 2147483648| 1.0| 1.0| |2022-09-25T00:00:00.001Z|root.test_group.device_b| 36.2| 101| 1664035200001| abc2| false| 2| 2| 2| 2147483649| 2.0| 2.0| |2022-09-25T00:00:00.001Z|root.test_group.device_c| 36.3| 102| 1664035200001| abc2| false| 3| 3| 3| 2147483649| 3.0| 3.0| +------------------------+------------------------+--------------+-----------+--------------+---------+---------+-----------+-----------+------+-----------+--------+---------+
use source event's time and limit measurement fields
sink { IoTDB { node_urls = "localhost:6667" username = "root" password = "root" key_device = "device_name" key_timestamp = "event_ts" key_measurement_fields = ["temperature", "moisture"] } }
Output to IoTDB
data format is the following:
IoTDB> SELECT * FROM root.test_group.* align by device; +------------------------+------------------------+--------------+-----------+ | Time| Device| temperature| moisture| +------------------------+------------------------+--------------+-----------+ |2022-09-25T00:00:00.001Z|root.test_group.device_a| 36.1| 100| |2022-09-25T00:00:00.001Z|root.test_group.device_b| 36.2| 101| |2022-09-25T00:00:00.001Z|root.test_group.device_c| 36.3| 102| +------------------------+------------------------+--------------+-----------+