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Expected all data to be written to InfluxDB. This works with our older accounts created about a year ago, but not on newly created accounts.
Actual behavior
We get below error when trying to write data. The issue seems to be that we're trying to add more than 200 unique signals (i.e. fields) for the same measurement - and apparently that is not possible in newer versions of the cloud?
Reason: Bad Request
HTTP response headers: HTTPHeaderDict({'Date': 'Tue, 09 May 2023 09:01:43 GMT', 'Content-Type': 'application/json', 'Content-Length': '216', 'Connection': 'keep-alive', 'trace-id': 'a5e2abe810cb6c3f', 'trace-sampled': 'false', 'Strict-Transport-Security': 'max-age=15724800; includeSubDomains', 'X-Influxdb-Request-ID': '3402a4e1bf06f25e3e0b3d6523c10cde', 'X-Influxdb-Build': 'Cloud'})
HTTP response body: {"code":"invalid","message":"dml handler error: service limit reached: couldn't create columns in table E7DEAEE7; table contains 199 existing columns, applying this write would result in 267 columns, limit is 200"}
Additional info
No response
The text was updated successfully, but these errors were encountered:
Specifications
Writing pandas dataframe to InfluxDB Cloud 2.0 with Python client
Code sample to reproduce problem
Using below repository:
https://github.com/CSS-Electronics/canedge-influxdb-writer
Expected behavior
Expected all data to be written to InfluxDB. This works with our older accounts created about a year ago, but not on newly created accounts.
Actual behavior
We get below error when trying to write data. The issue seems to be that we're trying to add more than 200 unique signals (i.e. fields) for the same measurement - and apparently that is not possible in newer versions of the cloud?
Additional info
No response
The text was updated successfully, but these errors were encountered: