Source MySQL - stuck at : "Queueing query for table", "Preparing query for table"

Hello everyone,

  • Is this your first time deploying Airbyte?: No
  • OS Version / Instance: GCE : e2-highmem-8, Ubuntu
  • Memory / Disk: 64 Go
  • Deployment: Docker
  • Airbyte Version: 0.41.0 (Had same error in previous version)
  • Source : MySQL (Aurora)
  • Destination: BigQuery
  • Step: The sync is stuck at this moment :
2023-02-23 09:41:19 e[44msourcee[0m > Queueing query for table: my_table
2023-02-23 09:41:19 e[44msourcee[0m > Preparing query for table: my_table 
  • Description: I have a connector from MySQL to BigQuery that syncronizes a large table (80Go, 6M lines, 50k lines a day), in mode “Incremental | Append” based on a field : “created_at”.
    I can initialise the table without any problem but when, syncronizing again the source table to add new data, the connector get stucked at that step.

  • Investigation already done :
    → The memory and CPU of my machine is fine.
    → The same table is syncronized on a less heavy ‘staging’ database and it works perfectly, could it be the size of the table in ‘production’ causing the problem ?
    → The connector can be stuck multiple hours
    → I tried creating a connector exclusively for that table, and the result is the same

Would you have any hints on why this problems occurs, or where to look for solutions ?

Thanks !
Asertu

Hello there! You are receiving this message because none of your fellow community members has stepped in to respond to your topic post. (If you are a community member and you are reading this response, feel free to jump in if you have the answer!) As a result, the Community Assistance Team has been made aware of this topic and will be investigating and responding as quickly as possible.
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Update : I found the problem, the cursor_field was not indexed in production database, hence the infinite response time.

Hey @Asertu,

Thanks for making this post and for digging into it. Happy to hear you found a solution! Feel free to post more questions in the forums or raise issues on our Github.