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TDengine is an open source, high-performance, cloud native time-series database optimized for Internet of Things (IoT), Connected Cars, Industrial IoT and DevOps.

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项目日志,前面插入成功,一段时间后就开始报错了 > 2022-08-10 01:40:51.579 DEBUG 6 --- [nio-7103-exec-7] c.f.z.c.d.c.b.t.d.s.h.h.d.H.insert : ==> Preparing: INSERT INTO hkq_hold_stock_etzvmalrurcebewf_x00006 USING hkq_hold_stock TAGS (?, ?) (ts,live_stock,child_stock,batch_start_age,stock_in,stock_out,stock_die,stock_ko,child_newborn,child_in,child_out,child_die,child_ko,stock_breed) VALUES (?, 6,0,null,0,0,0,0,0,0,0,0,0,0); 2022-08-10 01:40:51.579 DEBUG 6 --- [nio-7103-exec-7]...

help wanted
question

connectStandalone日志如下: [2022-08-09 08:20:03,745] INFO [Consumer clientId=connector-consumer-TDengineSinkConnector-0, groupId=connect-TDengineSinkConnector] Successfully synced group in generation Generation{generationId=3, memberId='connector-consumer-TDengineSinkConnector-0-0f6624da-2230-4cf0-a201-e43ff192680a', protocol='range'} (org.apache.kafka.clients.consumer.internals.AbstractCoordinator:758) [2022-08-09 08:20:03,747] INFO [Consumer clientId=connector-consumer-TDengineSinkConnector-0, groupId=connect-TDengineSinkConnector] Notifying assignor about the new Assignment(partitions=[testKafka-0]) (org.apache.kafka.clients.consumer.internals.ConsumerCoordinator:276) [2022-08-09...

help wanted
question

Commit: Support TDengine https://github.com/Tencent/APIJSON/commit/4886ee923659826ff980cbd55ab36e5adf570d63 Use TDengine for HTTP APIs: ![](https://user-images.githubusercontent.com/5738175/179310257-ce0838c4-9746-4ea8-8208-fd7eb056083e.jpg) ![](https://user-images.githubusercontent.com/5738175/179310101-3991bafe-24a6-4b61-8b5c-d51fb60137dc.png) ![C37146C233CE53077C7584D4AB4F0BC3](https://user-images.githubusercontent.com/5738175/179735380-81705ad8-60fa-4a66-b335-49b421cc6c0c.jpg) ![C04E9CBC6E91EA2CA91BFC084ADF2794](https://user-images.githubusercontent.com/5738175/179735320-7afba29f-1907-40e7-a529-22a8aace9c1a.jpg) ![E73E5D7F9E4607765E5DDDD0E748C08F](https://user-images.githubusercontent.com/5738175/179735350-a0e1b056-445c-4ab6-a9d1-a3d706a72365.jpg) ![2524D05171BD335307229E4909B7E9EC](https://user-images.githubusercontent.com/5738175/179735361-dcb3bcc5-3c6a-44da-8a20-b5de434a48f2.jpg) Demo for TDengine with APIJSON: https://github.com/APIJSON/APIJSON-Demo/tree/master/TDengine/single https://github.com/APIJSON/APIJSON-Demo/tree/master/APIJSON-Java-Server/APIJSONBoot-MultiDataSource

enhancement

**Bug Description** 应用程序使用go连接器,查询时报错,程序异常退出(ARM32位处理器)。 **To Reproduce** Steps to reproduce the behavior: 1. 应用程序和TDengine都在ARM32位处理器上。 2. TDengine在ARM32处理器上,通过taos可正常数据写入和查询。 3. 通过应用程序将数据写入TDenginer正常。 4. 通过应用程序查询数据时,go连接器报错,导致程序结束。 **Expected Behavior** 希望查询能正常返回数据。 请问目前go版本的连接器(github.com/taosdata/driver-go/v2)是否支持arm32位处理器。 **Screenshots** 下图为报错信息 ![image](https://user-images.githubusercontent.com/24984406/183365321-a2a6e36b-f361-47e4-9cf2-738788a7a1ab.png) 下图为go连接器报错位置 ![image](https://user-images.githubusercontent.com/24984406/183365499-7702c6c5-adf6-4561-ac6a-9856df2b54b9.png) **Environment (please complete...

bug

mysql中bigint类型数据转到tdengine报错,tdengine这个也是bigint类型, 2022-08-09 21:55:54.385 [0-0-0-writer] ERROR StdoutPluginCollector - 脏数据: {"exception":"invalid column type: LONG","record":[{"byteSize":8,"index":0,"rawData":1660042031000,"type":"DATE"},{"byteSize":1,"index":1,"rawData":4,"type":"LONG"},{"byteSize":6,"index":2,"rawData":"dasdsa","type":"STRING"}],"type":"writer"} 2022-08-09 21:55:54.387 [0-0-0-writer] ERROR DefaultDataHandler - invalid column type: LONG