PythonTimeSeries()
The PythonTimeSeries() calculation function allows users to access Python, as a way of analysing data within your calculations.
Category: Technical Reference
InfluxDB Adaptor Features
The InfluxDB Adaptor supports both InfluxDB v2 and v1. The InfluxDB Adaptor creates a tag for every Influx measurement-tag_key-tag_value-field_key combination during tag discovery. It supports both native and fallback sampling for GET requests, and also supports PUT requests. The adaptor can be installed via the Explorer installer. ON THIS PAGE:Adaptor…
Diagnostics
The Diagnostics page, available to Explorer Administrators, displays key diagnostics for helping to debug Explorer support issues. Use this page if: Explorer becomes unresponsive for a number of users Shift Log is displaying entries in an unusual way Comments are not appearing Shift Log Entries Not Updating in the Table…
Dataset Query Language (DQL)
DQL or Dataset Query Language is using a mixture of SQL and SER syntax and allows executing queries on datasets (matrices) just like on a table in a database.
TableLookup()
TableLookup() returns the result of a table lookup, which will be either a single value or a tag, depending on the lookup value. If any lookup value is outside the range of the dataset, the corresponding result will be an error value. It enables linear interpolation between two values to find and calculate a result.
RawTimeOf()
RawTimeOf() returns the original timestamp of each datum expressed as the number of seconds since Unix epoch (1970 Jan 1 00:00:00).
ComposeBinary()
ComposeBinary() returns the number which was built from the bits which were provided by the parameters.
ContinuousSmall_Sampled()
ContinuousSmall_Sampled() can be used to find the nth smallest value in a time range.
ContinuousLarge_Sampled()
ContinuousLarge_Sampled() can be used to find the nth largest value in a time range.
Small_Sampled()
Small_Sampled() can be used to find the nth smallest value in a time range.