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IoTDB

IoTDB 数据接收器

支持引擎

Spark
Flink
SeaTunnel Zeta

描述

用于将数据写入 IoTDB。

主要特性

  • 精确一次

    IoTDB 通过幂等写支持精确一次功能。如果两条数据使用相同的keytimestamp,新数据将覆盖旧数据。

支持的数据源信息

数据源支持的版本地址
IoTDB2.0 <= versionlocalhost:6667

数据类型映射

SeaTunnel 数据类型IoTDB 数据类型
BOOLEANBOOLEAN
TINYINTINT32
SMALLINTINT32
INTINT32
BIGINTINT64
FLOATFLOAT
DOUBLEDOUBLE
STRINGSTRING
TIMESTAMPTIMESTAMP
DATEDATE

Sink 选项

名称类型是否必填默认值描述
node_urlsArray-IoTDB 集群地址,格式为 ["host1:port"]["host1:port","host2:port"]
usernameString-IoTDB 用户名
passwordString-IoTDB 用户密码
sql_dialectStringtreeIoTDB 模型,tree:树模型;table:表模型
storage_groupString-IoTDB 树模型:指定设备存储组(路径前缀)
例如: deviceId = \${storage_group} + "." + \${key_device}
IoTDB 表模型:指定数据库
key_deviceString-IoTDB 树模型:在 SeaTunnelRow 中指定 IoTDB 设备 ID 的字段名;
IoTDB 表模型:在 SeaTunnelRow 中指定 IoTDB 表名的字段名
key_timestampString数据处理时间IoTDB 树模型:在 SeaTunnelRow 中指定 IoTDB 时间戳的字段名(如未指定,则使用处理时间作为时间戳);
IoTDB 表模型:在 SeaTunnelRow 中指定 IoTDB 时间列的字段名(如未指定,则使用处理时间作为时间戳)
key_measurement_fieldsArray见描述IoTDB 树模型:在 SeaTunnelRow 中指定 IoTDB 测量列表的字段名(如未指定,则包括排除key_device&key_timestamp后的其余字段);
IoTDB 表模型:在 SeaTunnelRow 中指定 IoTDB 测点列(FIELD)的字段名(如未指定,则包括排除key_device&key_timestamp&key_tag_fields&key_attribute_fields后的其余字段)
key_tag_fieldsArray-IoTDB 树模型:不生效;
IoTDB 表模型:在 SeaTunnelRow 中指定 IoTDB 标签列(TAG)的字段名
key_attribute_fieldsArray-IoTDB 树模型:不生效;
IoTDB 表模型:在 SeaTunnelRow 中指定 IoTDB 属性列(ATTRIBUTE)的字段名
batch_sizeInteger1024对于批写入,当缓冲区的数量达到batch_size的数量或时间达到batch_interval_ms时,数据将被刷新到 IoTDB 中
max_retriesInteger-刷新的重试次数
retry_backoff_multiplier_msInteger-用作生成下一个退避延迟的乘数
max_retry_backoff_msInteger-尝试重试对 IoTDB 的请求之前等待的时间量
default_thrift_buffer_sizeInteger-在 IoTDB 客户端中节省初始化缓冲区大小
max_thrift_frame_sizeInteger-在 IoTDB 客户端中节约最大帧大小
zone_idString-IoTDB java.time.ZoneId client
enable_rpc_compressionBoolean-在 IoTDB 客户端中启用 rpc 压缩,只在树模型中生效
connection_timeout_in_msInteger-连接到 IoTDB 时等待的最长时间(毫秒)
common-options-Sink 插件常用参数,详见 [Sink common Options](../Sink common Options.md)

示例

示例 1: 写入 IoTDB 树模型数据

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"
}
}
}
}

上游 SeaTunnelRow 数据格式如下:

device_nametemperaturemoistureevent_tsc_stringc_booleanc_tinyintc_smallintc_intc_bigintc_floatc_double
root.test_group.device_a36.11001664035200001abc1true11121474836481.01.0
root.test_group.device_b36.21011664035200001abc2false22221474836492.02.0
root.test_group.device_c36.31021664035200001abc3false33321474836493.03.0

案例 1

只填写所需的配置:

  • 使用当前处理时间作为时间戳
  • 测点包括排除了key_device后的其余字段
sink {
IoTDB {
node_urls = ["localhost:6667"]
username = "root"
password = "root"
key_device = "device_name" # specify the `deviceId` use device_name field
}
}

IoTDB 数据格式的输出如下:

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|
+------------------------+------------------------+--------------+-----------+--------------+---------+---------+-----------+-----------+------+-----------+--------+---------+

案例 2

使用源事件的时间:

  • 使用指定字段作为时间戳
  • 测点包括排除了key_devicekey_timestamp后的其余字段
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
}
}

IoTDB 数据格式的输出如下:

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|
+------------------------+------------------------+--------------+-----------+--------------+---------+---------+-----------+-----------+------+-----------+--------+---------+

案例 3

使用源事件的时间和限制测量字段:

  • 使用指定字段作为时间戳
  • 测点仅包括key_measurement_fields指定的字段
sink {
IoTDB {
node_urls = ["localhost:6667"]
username = "root"
password = "root"
key_device = "device_name"
key_timestamp = "event_ts"
key_measurement_fields = ["temperature", "moisture"]
}
}

IoTDB 数据格式的输出如下:

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|
+------------------------+------------------------+--------------+-----------+

示例 2: 写入 IoTDB 表模型数据

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

source {
FakeSource {
...
schema = {
fields {
ts = timestamp
model_id = string
region = string
tag = string
status = boolean
arrival_date = date
temperature = double
}
}
}
}

上游 SeaTunnelRow 数据格式如下:

tsmodel_idregiontagstatusarrival_datetemperature
2025-07-30T17:52:34.851id10700HKtag1true2024-11-124.34
2025-07-29T17:51:34.851id20700HKtag2false2024-12-015.54
2025-07-28T17:50:34.851id30700HKtag3false2024-12-227.34

案例 1

只填写所需的配置:

  • 使用当前处理时间作为时间列
  • 测量列(FIELD)包括排除了key_device后的其余字段
sink {
IoTDB {
node_urls = ["localhost:6667"]
username = "root"
password = "root"
sql_dialect = "table"
storage_group = "test_database"
key_device = "region"
}
}

IoTDB 数据格式的输出如下:

IoTDB> SELECT * FROM "test_database"."0700HK";
+-----------------------------+-----------------------+--------+----+------+------------+-----------+
| time| ts|model_id| tag|status|arrival_date|temperature|
+-----------------------------+-----------------------+--------+----+------+------------+-----------+
|2025-08-14T17:52:34.851+08:00|2025-07-30T17:52:34.851| id1|tag1| true| 2024-11-12| 4.34|
|2025-08-14T17:51:34.851+08:00|2025-07-29T17:51:34.851| id2|tag2| false| 2024-12-01| 5.54|
|2025-08-14T17:50:34.851+08:00|2025-07-28T17:50:34.851| id3|tag3| false| 2024-12-22| 7.34|
+-----------------------------+-----------------------+--------+----+------+------------+-----------+
IoTDB> DESC "test_database"."0700HK";
+------------+---------+--------+
| ColumnName| DataType|Category|
+------------+---------+--------+
| time|TIMESTAMP| TIME|
| ts|TIMESTAMP| FIELD|
| model_id| STRING| FIELD|
| tag| STRING| FIELD|
| status| BOOLEAN| FIELD|
|arrival_date| DATE| FIELD|
| temperature| DOUBLE| FIELD|
+------------+---------+--------+

案例 2

使用源事件的时间和限制标签列及属性列:

  • 使用指定字段作为时间列
  • 使用指定字段作为标签列(TAG)及属性列(ATTRIBUTE)
  • 测量列(FIELD)包括排除了key_devicekey_timestampkey_tag_fieldskey_attribute_fields后的其余字段
sink {
IoTDB {
node_urls = ["localhost:6667"]
username = "root"
password = "root"
sql_dialect = "table"
storage_group = "test_database"
key_device = "region"
key_timestamp = "ts"
key_tag_fields = ["tag"]
key_attribute_fields = ["model_id"]
}
}

IoTDB 数据格式的输出如下:

IoTDB> SELECT * FROM "test_database"."0700HK";
+-----------------------------+----+--------+------+------------+-----------+
| time| tag|model_id|status|arrival_date|temperature|
+-----------------------------+----+--------+------+------------+-----------+
|2025-07-30T17:52:34.851+08:00|tag1| id1| true| 2024-11-12| 4.34|
|2025-07-29T17:51:34.851+08:00|tag2| id2| false| 2024-12-01| 5.54|
|2025-07-28T17:50:34.851+08:00|tag3| id3| false| 2024-12-22| 7.34|
+-----------------------------+----+--------+------+------------+-----------+
IoTDB> DESC "test_database"."0700HK";
+------------+---------+---------+
| ColumnName| DataType| Category|
+------------+---------+---------+
| time|TIMESTAMP| TIME|
| tag| STRING| TAG|
| model_id| STRING|ATTRIBUTE|
| status| BOOLEAN| FIELD|
|arrival_date| DATE| FIELD|
| temperature| DOUBLE| FIELD|
+------------+---------+---------+

案例 3

使用源事件的时间和限制测量列:

  • 使用指定字段作为时间列
  • 使用指定字段作为测点列(FIELD)
sink {
IoTDB {
node_urls = ["localhost:6667"]
username = "root"
password = "root"
sql_dialect = "table"
storage_group = "test_database"
key_device = "region"
key_timestamp = "ts"
key_measurement_fields = ["status", "temperature"]
}
}

IoTDB 数据格式的输出如下:

IoTDB> SELECT * FROM "test_database"."0700HK";
+-----------------------------+------+-----------+
| time|status|temperature|
+-----------------------------+------+-----------+
|2025-07-30T17:52:34.851+08:00| true| 4.34|
|2025-07-29T17:51:34.851+08:00| false| 5.54|
|2025-07-28T17:50:34.851+08:00| false| 7.34|
+-----------------------------+------+-----------+
IoTDB> DESC "test_database"."0700HK";
+-----------+---------+--------+
| ColumnName| DataType|Category|
+-----------+---------+--------+
| time|TIMESTAMP| TIME|
| status| BOOLEAN| FIELD|
|temperature| DOUBLE| FIELD|
+-----------+---------+-------+

变更日志

Change Log
ChangeCommitVersion
[Feature][Checkpoint] Add check script for source/sink state class serialVersionUID missing (#9118)https://github.com/apache/seatunnel/commit/4f5adeb1c72.3.11
[improve] iotdb options (#8965)https://github.com/apache/seatunnel/commit/6e073935f42.3.10
[Improve] restruct connector common options (#8634)https://github.com/apache/seatunnel/commit/f3499a6eeb2.3.10
[Improve][dist]add shade check rule (#8136)https://github.com/apache/seatunnel/commit/51ef8000162.3.9
[Feature][Restapi] Allow metrics information to be associated to logical plan nodes (#7786)https://github.com/apache/seatunnel/commit/6b7c53d03c2.3.9
[Improve][Common] Introduce new error define rule (#5793)https://github.com/apache/seatunnel/commit/9d1b2582b22.3.4
[Improve] Remove use SeaTunnelSink::getConsumedType method and mark it as deprecated (#5755)https://github.com/apache/seatunnel/commit/8de74081002.3.4
Support config column/primaryKey/constraintKey in schema (#5564)https://github.com/apache/seatunnel/commit/eac76b4e502.3.4
[Doc] update iotdb document (#5404)https://github.com/apache/seatunnel/commit/856aedb3c92.3.4
[Improve][Connector-V2] Remove scheduler in IoTDB sink (#5270)https://github.com/apache/seatunnel/commit/299637868c2.3.4
[Hotfix] Fix com.google.common.base.Preconditions to seatunnel shade one (#5284)https://github.com/apache/seatunnel/commit/ed5eadcf732.3.3
Merge branch 'dev' into merge/cdchttps://github.com/apache/seatunnel/commit/4324ee19122.3.1
[Improve][Project] Code format with spotless plugin.https://github.com/apache/seatunnel/commit/423b5830382.3.1
[improve][api] Refactoring schema parse (#4157)https://github.com/apache/seatunnel/commit/b2f573a13e2.3.1
[Improve][build] Give the maven module a human readable name (#4114)https://github.com/apache/seatunnel/commit/d7cd6010512.3.1
[Improve][Project] Code format with spotless plugin. (#4101)https://github.com/apache/seatunnel/commit/a2ab1665612.3.1
[Improve][SourceConnector] Unified schema parameter, update IoTDB sou… (#3896)https://github.com/apache/seatunnel/commit/a0959c5fd12.3.1
[Feature][Connector] add get source method to all source connector (#3846)https://github.com/apache/seatunnel/commit/417178fb842.3.1
[Feature][API &amp; Connector &amp; Doc] add parallelism and column projection interface (#3829)https://github.com/apache/seatunnel/commit/b9164b8ba12.3.1
[Hotfix][OptionRule] Fix option rule about all connectors (#3592)https://github.com/apache/seatunnel/commit/226dc6a1192.3.0
[Improve][Connector-V2][Iotdb] Unified exception for iotdb source & sink connector (#3557)https://github.com/apache/seatunnel/commit/7353fed6d62.3.0
[Feature][Connector V2] expose configurable options in IoTDB (#3387)https://github.com/apache/seatunnel/commit/06359ea76a2.3.0
[Improve][Connector-V2][IotDB]Add IotDB sink parameter check (#3412)https://github.com/apache/seatunnel/commit/91240a3dcb2.3.0
[Bug][Connector-v2] Fix IoTDB connector sink NPE (#3080)https://github.com/apache/seatunnel/commit/e5edf024332.3.0-beta
[Imporve][Connector-V2] Imporve iotdb connector (#2917)https://github.com/apache/seatunnel/commit/3da11ce19b2.3.0-beta
[DEV][Api] Replace SeaTunnelContext with JobContext and remove singleton pattern (#2706)https://github.com/apache/seatunnel/commit/cbf82f755c2.2.0-beta
[#2606]Dependency management split (#2630)https://github.com/apache/seatunnel/commit/fc047be69b2.2.0-beta
[chore][connector-common] Rename SeatunnelSchema to SeaTunnelSchema (#2538)https://github.com/apache/seatunnel/commit/7dc2a273882.2.0-beta
[Connectors-V2]Support IoTDB Source (#2431)https://github.com/apache/seatunnel/commit/7b78d6c9222.2.0-beta
[Feature][Connector-V2] Support IoTDB sink (#2407)https://github.com/apache/seatunnel/commit/c1bbbd59d52.2.0-beta