Connect an AI assistant
Your AI assistant can read this documentation directly, so it answers from the current content instead of guessing. Add one of the servers below to your client — they use the Model Context Protocol (MCP). Each one covers a different body of content, so add the one you need.
The catalog did not load. Refresh the page to try again.
Loading…
{{server.name}}
{{server.summary}}
{{server.documentCount.toLocaleString()}} pages Not published to this site
- Name
-
{{server.name}} - URL
-
{{mcpServerUrl(server.path)}}
| Tool | What it does |
|---|---|
{{tool.name}} |
{{part.text}}{{part.text}} |
How can we help?
Searching in {{docApp.searchFilterBySpecificBookTitle}}
Searching for:
{{docApp.searchResultFilteredItems.length}} results for:
{{docApp.currentResultsSearchText}}
in {{docApp.searchFilterBySpecificBookTitle}}
Found {{docApp.searchResponse.totalResultsAvailable}} matches. Showing the top {{docApp.searchResponse.results ? docApp.searchResponse.results.length : 0}}. Use a more specific search to further narrow down the results.
No documentation pages match this search, so all content types are shown.
Most matches are in {{docApp.searchDocTypeRescue.best.name}}.
There is no book with the ID "{{docApp.searchBookRescue.bid}}", so the book filter from this link was ignored and results from all books are shown.
You have an odd number of " characters in your search terms - each one needs closing with a matching " character!
-
{{resultItem.title}} {{resultItem.matchedBy === 'semantic' ? 'semantic' : (resultItem.matchedBy === 'both' ? 'keyword + semantic' : 'keyword')}}
{{resultItem.url}}
{{docApp.libraryHomeViewProduct.title || docApp.libraryHomeViewProduct.id}}
{{docApp.libraryHomeViewProduct.description}}
{{group.title || group.id}}
{{group.description}}
Description
Defines how to get time series type of data for a chart data series.
Properties
| Name | Type | Occurrence | Description |
|---|---|---|---|
show |
orderDirectionType |
Required | show in ascending/descending order |
sample |
xs:integer |
Required | number of rows to return |
fromTable |
xs:string |
Required | select from table |
dateTimeColumn |
xs:string |
Required | dateTime column to group on and build time series |
tickType |
sampleFrequencyPeriodType |
Optional | Frequency with which to sample the time series |
cascade |
xs:boolean |
Optional Default= true |
Does the frequency cascades down from the top level date time construct.(year). For e.g Monthly frequency with cascade=“true” will give aggregation for each month,year combination but Monthly frequency with cascade=“false” can only give max 12 aggregations. One for each month, same months for different years are aggreagated into one |
aggregate |
aggregationType |
Optional Default= COUNT |
Aggregate function to apply. |
aggregateColumn |
xs:string |
Optional | column to apply aggregate function on. No need to specify it if aggregation function is ‘COUNT’ Currently only functions on numeric type columns are supported. supplying non-numeric types may result in unpredictable behavior. |
filter |
xs:string |
Optional | where caluse filter |
periodFilter |
samplePeriodFilterType |
Optional | Specify this to restrict samples from a given time range |
drilldownColumns |
xs:string |
Optional | comma seperated columns to select when doing drilldown |
- Version {{docApp.book.version}}
- Node {{docApp.node}} / {{docApp.build}}