Continuous queries CQ are InfluxQL queries that run automatically and periodically on realtime data and store query results in a specified measurement. Continuous queries operate on real-time data. The examples below use the following sample data in the transportation database. Use a simple CQ to automatically downsample data from a single field and write the results to another measurement in the same database. Note that the basic syntax does not support using fill to change the value reported for intervals with no data.
A possible workaround is to use the advanced CQ syntax. CQs operate on realtime data, that is, data with timestamps that occur relative to now. Use a basic INTO query to backfill results for data with older timestamps.
By default, all INTO queries convert any tags in the source measurement to fields in the destination measurement.
See Description of Basic Syntax. CQs operate on real-time data. First, it runs at and calculates the average for every available data point between and 815and Second, it runs at and calculates the average for every available data point between and 81515and Because of the way InfluxDB handles duplicate pointsthe second result simply overwrites the first result.
The CQ calculates the average for the time interval at and atand it calculates the average for the time interval at and The CQ calculates the average for the interval at and Use a FOR interval and fill to change the value reported for time intervals with no data.
Note that at least one data point must fall within the FOR interval for fill to operate. Where possible, it writes the value for time intervals with no results. See Frequently Asked Questions for more information. Every ten minutes, the CQ runs a single query that covers the time range between now and now minus the EVERY interval, that is, the time range between now and ten minutes prior to now.
Currently, this is the intended behavior. GitHub Issue outlines a feature request for CQs to support gaps in data coverage. Only admin users are allowed to work with CQs. For more on user privileges, see Authentication and Authorization. If query-stats-enabled is set to true in your influxdb. Information about CQ configuration settings is available in the Configuration documentation.
Use of this data falls outside the scope of official InfluxData support. Combine CQs and RPs to automatically downsample high precision data to a lower precision and remove the dispensable, high precision data from the database.
See the Downsampling and data retention guide for a detailed walkthrough of this common use case.Pwm piezo buzzer
Shorten query runtimes by pre-calculating expensive queries with CQs. Use a CQ to automatically downsample commonly-queried, high precision data to a lower precision.
Queries on lower precision data require fewer resources and return faster. Tip: Pre-calculate queries for your preferred graphing tool to accelerate the population of graphs and dashboards.
See Data Exploration for more information.GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Already on GitHub? Sign in to your account.
For functions like this you have to use the query reference syntax A to created nested queries. You can hide the series A so that it does not show in the graph. Suppose, Metrics A : test. Is it possible in Grafana version 1.
I think that feature was added in 1. Thanks a lot Torkelo.
I am pushing some metrics from code to graphite and I am plotting these metrics on grafana. Thus increasing grafana version from 1. IDo I have to change graphite configurations in that case? Is it possible to perform these arithmetic operations of multiple series with Elasticsearch datasource.Steam pending purchase
Any chance grafana will ever be able to sum or divide series for elastic??? Skip to content. Dismiss Join GitHub today GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.Как мы приручали InfluxDB. Макар Ермохин
Sign up. New issue. Jump to bottom. Copy link Quote reply. I need to divide the delta of two series in grafana version 1. Thanks, Amer. This comment has been minimized. Sign in to view. Example: You can hide the series A so that it does not show in the graph. Thanks for your prompt reply.
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It only takes a minute to sign up. I'm trying to combine stats from a couple ethernet interfaces and combine them to show aggregate bandwidth.
Grafana and KDB+ Plugin Installation Instructions
These two separate queries work on their own, but I can't figure out how to write it to combine these two. To combine aggregated measurements under different tags is a bit tricky. I managed to find this post which has the answer. The key is to use sub-queries InfluxDB 1. Then, since the field names are the same, they need to be renamed.
Finally you can manipulate them as needed. Here's your example:. Figured it out after weeks of trial and error. Sign up to join this community.15 meters to feet
The best answers are voted up and rise to the top. Home Questions Tags Users Unanswered. Asked 3 years, 2 months ago. Active 4 months ago. Viewed 19k times. I have some network counters in Influx that I graph with Grafana.Ethio 360 tv frequency
Mike Mike 21 1 1 gold badge 1 1 silver badge 4 4 bronze badges. I just skimmed thru the docs but can't find any info on union or usage examples. My apologies. I've very new to Influx. Building these simple network stats is my first foray into it. Active Oldest Votes. Morphit Morphit 31 3 3 bronze badges.Games for uhd 620
This just throws a syntax error on the comma separating the subqueries for me. Influx 1. DouglasGaskell Yep- looks like I dropped the parens while editing the answer.
Added them back now. Thanks for spotting. So for future searchers, this works. I have 3 hosts that I tried this on Feb 9 '17 at Sign up or log in Sign up using Google. Sign up using Facebook. Sign up using Email and Password.GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Have a question about this project?Thunderbird — make email easier. — thunderbird
Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Already on GitHub? Sign in to your account. I was searching for a way to divide a value of metric A through a value of metric B with InfluxDB as data source.
I found ticketthat says this is only working with Graphite because the operation is handled directly in the data source. Such a feature should definitely be added to InfluxDB, but I think it would also be useful to be able to use this feature from multiple data sources. That would also allow to use this feature independently from the data source. I also found and some other tickets where people asked for the same.
This is how it might look like:. I absolutely don't know if such a feature would kill Grafana because of resource lacks. Maybe someone is able to rate this?
Is grafana hypothetical able to calculate something like this? Will close as this is duplicate of May I ask how this project is going on?
I am considering a similar feature, but it turns out it is not going to be easy It would be an awesome feature. Skip to content. Dismiss Join GitHub today GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.Learn about Grafana the monitoring solution for every database.
Open Source is at the heart of what we do at Grafana Labs. Grafana ships with a feature-rich data source plugin for InfluxDB. The plugin includes a custom query editor and supports annotations and query templates. Access mode controls how requests to the data source will be handled. Server should be the preferred way if nothing else stated. The URL needs to be accessible from the browser if you select this access mode.
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A lower limit for the auto group by time interval. Recommended to be set to write frequency, for example 1m if your data is written every minute. The following time identifiers are supported:. You can access the InfluxDB editor under the metrics tab when you are in the edit mode of the Graph or Singlestat panels. Enter edit mode by clicking the panel title, and clicking Edit. The editor allows you to select metrics and tags. You can remove tag filters by clicking on the tag key and then selecting --remove tag filter You can type in regex patterns for metric names or tag filter values.
If you have a group by time you need an aggregation function. Some functions like derivative require an aggregation function. The editor tries to simplify and unify this part of the query. For example:. Pick a tag from the dropdown that appears.
You can remove the group by by clicking on the tag and then click on the x icon. You can switch to raw query mode by clicking hamburger icon and then Switch editor mode. You can remove the group by time by clicking on the time part and then the x icon. You can change the option Format As to Table if you want to show raw data in the Table panel. Querying and displaying log data from InfluxDB is available via Explore. Choose the desired measurement that contains your log data and then choose which field Explore should use to display the log message.
You can remove tag filters by clicking on the first select and choosing --remove filter Instead of hard-coding things like server, application and sensor name in you metric queries you can use variables in their place. Variables are shown as dropdown select boxes at the top of the dashboard.
These dropdowns makes it easy to change the data being displayed in your dashboard. Check out the Templating documentation for an introduction to the templating feature and the different types of template variables. If you add a template variable of the type Query you can write a InfluxDB exploration meta data query. These queries can return things like measurement names, key names or key values. For example you can have a variable that contains all values for tag hostname if you specify a query like this in the templating variable Query setting.
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InfluxQL mathematical operators
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InfluxQL Continuous Queries
That is, parentheses take precedence to division and multiplication, which takes precedence to addition and subtraction. You can use this operator with any integers or Booleans, whether they are fields or constants. It does not work with float or string datatypes, and you cannot mix integers and Booleans. The following queries are invalid and the system returns an error:. The use of mathematical operators inside of function calls is currently unsupported. InfluxQL supports subqueries which offer similar functionality to using mathematical operators inside a function call.
See Data Exploration for more information. See GitHub issue Using any of! There is no bitwise-not operator, because the results you expect depend on the width of your bitfield. InfluxQL does not know how wide your bitfield is, so cannot implement a suitable bitwise-not operator. For example, if your bitfield is 8 bits wide, then to you the integer 1 represents the bits The bitwise-not of this should return the bitsi.
However, if your bitfield is 16 bits wide, then the integer 1 represents the bits InfluxDB v1. This page documents an earlier version of InfluxDB, which is no longer actively developed.
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