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Version: 2.2.0-beta

IoTDB

IoTDB source connector

Description

Read external data source data through IoTDB.

Key features

supports query SQL and can achieve projection effect.

Options

nametyperequireddefault value
hoststringyes-
portIntyes-
node_urlsstringyes-
sqlstringyes
fieldsconfigyes-
fetch_sizeintno-
usernamestringno-
passwordstringno-
lower_boundlongno-
upper_boundlongno-
num_partitionsintno-
thrift_default_buffer_sizeintno-
enable_cache_leaderbooleanno-
versionstringno-

single node, you need to set host and port to connect to the remote data source.

host [string] the host of the IoTDB when you select host of the IoTDB

port [int] the port of the IoTDB when you select

multi node, you need to set node_urls to connect to the remote data source.

node_urls [string] the node_urls of the IoTDB when you select

e.g.

127.0.0.1:8080,127.0.0.2:8080

other parameters

sql [string] execute sql statement e.g.

select name,age from test

fields [string]

the fields of the IoTDB when you select

the field type is SeaTunnel field type org.apache.seatunnel.api.table.type.SqlType

e.g.

fields{
name=STRING
age=INT
}

option parameters

fetch_size [int]

the fetch_size of the IoTDB when you select

username [string]

the username of the IoTDB when you select

password [string]

the password of the IoTDB when you select

lower_bound [long]

the lower_bound of the IoTDB when you select

upper_bound [long]

the upper_bound of the IoTDB when you select

num_partitions [int]

the num_partitions of the IoTDB when you select

thrift_default_buffer_size [int]

the thrift_default_buffer_size of the IoTDB when you select

enable_cache_leader [boolean]

enable_cache_leader of the IoTDB when you select

version [string]

Version represents the SQL semantic version used by the client, which is used to be compatible with the SQL semantics of 0.12 when upgrading 0.13. The possible values are: V_0_12, V_0_13.

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 )