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Hi,Cognite grafana plugin internally use synthetic timeseies api while passing query under “time series custom query” option. but synthetic timeseries api returns error while trying to retrieve data-point for string timeseries. please check out attached screenshot.
Do Cognite OData APIs also offer have cursor implementation like cursor capabilities on REST endpoints?
Hi,We are working on building grafana dashboard for all assets connected to specific root asset using cognite grafana plugin. BUT, It seems like Cognite Grafana plugin does not support handling cursor API responses. Due to this limitation, we see following challenges:CDF “Filter assets” api can return max 1000 assets only in a request. This may result into displaying 1000 asset’s data only if we have more than 1000 assets. CDF “Filter time series” api can return max 1000 timeseries only in a request. This may result into displaying partial data only on widgets if total number of timeseries is more than 1000 for all assets coming under selected hierarchy.This is major blocker for us.
Hi,We are working on POC to build spotfire dashboard on top of CDF for which we are trying spotfire oData connector to trigger CDF APIs. But it returns error code: 426 (attached screenshot).plus, how we can authenticate cdf apis here? oData provides only 3 authentication methods - username/password, windows authentication, Microsoft azure marketplace.
In grafana, we want to display total of all timeseries data-points for all assets connected to particular asset for which we are passing query like this:ts{assetSubtreeIds=[{id=$Org4}], name='oil-production-rate'}where value of $Org1 is coming from dashboard variable.and since cognite grafana plugin does not handle cursor api responses and synthetic timeseries api have some limitation in returning 10k records only in a request, to reduce number of data-points, we are trying to use aggregation: ‘sum’ and granularity: ‘30d’ since there could be more than 10k data-points. But its is throwing error saying “sum” is not valid aggregation type of synthetic timeseries. Any reason why “sum” aggregation is not supported for synthetic timeseries.(screenshot attached)
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