FuseQL is a new query language to perform analytics on log events. It is meant to be a drop-in replacement for Grafana’s logQL LogQL support in Kloudfuse. In addition, it also supports more advanced operators such as anomaly detection, outlier detection, forecasting and several arithmetic and trigonometric operators.
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Users can switch between FuseQL and logQL LogQL with a toggle button on the log analytics page. |
For some of the common use cases on how to use log analytics with FuseQL, refer to the cheatsheet page.
Query Builder
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Log Filters
To filter out logs that you want to run your analytics query on, click 
(Search logs). If no filters are specified, FuseQL will consider all log lines.
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Add Query
To add a another query, click 
(Add Query). Notice that a new query 
(B) appears under query 
(A), and it is a duplicate.
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FuseQL also supports formulas by applying various mathematical operators on a set of queries. Currently we support the following mathematical operators are supported:
Addition (
+)Subtraction/Difference (
-)Multiplication/Product (
*)Division (
/)Modulo (
%)Pow (
^)
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Use Time Series Visualization when you want to analyze trends, patterns, and behaviors over in buckets spanning the selected time range.
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Top List
Use Top List
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Table
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Pie Chart
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Algorithms
Overlay a band on the metric, showing the expected behavior of a series based on past values.
Highlight outliers series.
Forecast future values based on past values.when you want to quickly identify and compare the highest-ranking groups within the selected time range.
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Table
Use Table when you need a detailed, row-by-row summary of your data for deeper comparison and analysis within the selected time range.
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Pie Chart
Use Pie Chart when you want to visualize the relative proportions of different groups within your data in the selected time range.
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