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IoTDB sink connector
Spark
Flink
SeaTunnel Zeta
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.
Used to write data to IoTDB.
:::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 {
execution.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|
+------------------------+------------------------+--------------+-----------+
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