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Version: 2.3.4

IoTDB

IoTDB source connector

Support Those Engines

Spark
Flink
SeaTunnel Zeta

Description

Read external data source data through 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.

Using Dependency

  1. You need to ensure that the jdbc driver jar package has been placed in directory ${SEATUNNEL_HOME}/plugins/.

For SeaTunnel Zeta Engine

  1. You need to ensure that the jdbc driver jar package has been placed in directory ${SEATUNNEL_HOME}/lib/.

Key features

supports query SQL and can achieve projection effect.

Supported DataSource Info

DatasourceSupported VersionsUrl
IoTDB>= 0.13.0localhost:6667

Data Type Mapping

IotDB Data TypeSeaTunnel Data Type
BOOLEANBOOLEAN
INT32TINYINT
INT32SMALLINT
INT32INT
INT64BIGINT
FLOATFLOAT
DOUBLEDOUBLE
TEXTSTRING

Source Options

NameTypeRequiredDefault ValueDescription
node_urlsstringyes-IoTDB cluster address, the format is "host1:port" or "host1:port,host2:port"
usernamestringyes-IoTDB user username
passwordstringyes-IoTDB user password
sqlstringyes-execute sql statement
schemaconfigyes-the data schema
fetch_sizeintno-the fetch_size of the IoTDB when you select
lower_boundlongno-the lower_bound of the IoTDB when you select
upper_boundlongno-the upper_bound of the IoTDB when you select
num_partitionsintno-the num_partitions of the IoTDB when you select
thrift_default_buffer_sizeintno-the thrift_default_buffer_size of the IoTDB when you select
thrift_max_frame_sizeintno-the thrift max frame size
enable_cache_leaderbooleanno-enable_cache_leader of the IoTDB when you select
versionstringno-SQL semantic version used by the client, The possible values are: V_0_12, V_0_13
common-optionsno-

split partitions

we can split the partitions of the IoTDB and we used time column split

num_partitions [int]

split num

upper_bound [long]

upper bound of the time column

lower_bound [long]

lower bound of the time column

     split the time range into numPartitions parts
if numPartitions is 1, use the whole time range
if numPartitions < (upper_bound - lower_bound), use (upper_bound - lower_bound) partitions

eg: lower_bound = 1, upper_bound = 10, numPartitions = 2
sql = "select * from test where age > 0 and age < 10"

split result

split 1: select * from test where (time >= 1 and time < 6) and ( age > 0 and age < 10 )

split 2: select * from test where (time >= 6 and time < 11) and ( age > 0 and age < 10 )

common options

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

Examples

env {
parallelism = 2
job.mode = "BATCH"
}

source {
IoTDB {
node_urls = "localhost:6667"
username = "root"
password = "root"
sql = "SELECT temperature, moisture, c_int, c_bigint, c_float, c_double, c_string, c_boolean FROM root.test_group.* WHERE time < 4102329600000 align by device"
schema {
fields {
ts = timestamp
device_name = string
temperature = float
moisture = bigint
c_int = int
c_bigint = bigint
c_float = float
c_double = double
c_string = string
c_boolean = boolean
}
}
}
}

sink {
Console {
}
}

Upstream IoTDB data format is the following:

IoTDB> SELECT temperature, moisture, c_int, c_bigint, c_float, c_double, c_string, c_boolean FROM root.test_group.* WHERE time < 4102329600000 align by device;
+------------------------+------------------------+--------------+-----------+--------+--------------+----------+---------+---------+----------+
| Time| Device| temperature| moisture| c_int| c_bigint| c_float| c_double| c_string| c_boolean|
+------------------------+------------------------+--------------+-----------+--------+--------------+----------+---------+---------+----------+
|2022-09-25T00:00:00.001Z|root.test_group.device_a| 36.1| 100| 1| 21474836470| 1.0f| 1.0d| abc| true|
|2022-09-25T00:00:00.001Z|root.test_group.device_b| 36.2| 101| 2| 21474836470| 2.0f| 2.0d| abc| true|
|2022-09-25T00:00:00.001Z|root.test_group.device_c| 36.3| 102| 3| 21474836470| 3.0f| 3.0d| abc| true|
+------------------------+------------------------+--------------+-----------+--------+--------------+----------+---------+---------+----------+

Loaded to SeaTunnelRow data format is the following:

tsdevice_nametemperaturemoisturec_intc_bigintc_floatc_doublec_stringc_boolean
1664035200001root.test_group.device_a36.11001214748364701.0f1.0dabctrue
1664035200001root.test_group.device_b36.21012214748364702.0f2.0dabctrue
1664035200001root.test_group.device_c36.31023214748364703.0f3.0dabctrue

Changelog

2.2.0-beta 2022-09-26

  • Add IoTDB Source Connector

2.3.0-beta 2022-10-20

  • [Improve] Improve IoTDB Source Connector (2917)
    • Support extract timestamp、device、measurement from SeaTunnelRow
    • Support TINYINT、SMALLINT
    • Support flush cache to database before prepareCommit