From the course: Build a No-Code ETL Pipeline with Google BigQuery
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Identify data transfer issues - BigQuery Tutorial
From the course: Build a No-Code ETL Pipeline with Google BigQuery
Identify data transfer issues
- [Instructor] Let us now look at the main issues that we can encounter when running data transfers and how to troubleshoot them. What I did here is that I went on BigQuery, and I deleted our table. And then I came back to Data Transfer Service and I ran a manual transfer. You can do that, by the way, by selecting Run Transfer Now. But I've already done this, and you can see that the last transfer was a failure. And the reason for the failure is that the table was not found. So what is happening here is that Data Transfer is getting our data, and it's looking to insert it in the table, but the table is not there. And it does not have the ability to create the table. You have to do that beforehand. You have to create the table with the correct schema to receive your data. And if I go ahead and click on my transfer, I should be able to see the logs on the right which might give me more details about the issue. So if I expand the JSON payload here, I can see the message, error code 5…
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How data load will work1m 40s
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Introduction to data4m 44s
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What is Google Cloud Storage?2m 42s
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Put data in Google Cloud Storage3m 35s
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Create table in BigQuery4m 35s
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Introduction to BigQuery Data Transfer Service1m 43s
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How we will manage data6m 4s
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Use Transfer Service to ingest data6m 40s
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Schedule transfers with Transfer Service3m 19s
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Identify data transfer issues6m 18s
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Common issues with data transfer5m 21s
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