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influxql vs flux performance

Investigate flux vs. influxql performance with multiple measurement filters, https://www.reddit.com/r/influxdb/comments/mq08og/upgrading_influxdb_from_v1x_to_v2x_is_it_even/, feat: add iot query for multiple measurements with OR, Benchmark flux vs. influxql performance with multiple measurement filters, feat: multi-measurement query optimization, feat: separate multi-measurement into new datagen and querygen, https://community.influxdata.com/t/why-this-multiple-measurements-query-needs-10-seconds/21541, [backport 2.0] Multi-Measurement Query Optimization, 5 buckets with only one containing many data points, largest bucket contains ~60,000 measurements, 20 fields each with data points from 2017 up to now with a time interval of 15 minutes, time range from 2019-01-01 up to 2021-09-11 with 15 minute points. Flux: InfluxQL lets you group by tags or time intervals only. InfluxQL can only query data stored in InfluxDB. For my use case I need to use the flux language because I want to calculate the mean over different measurements. Your existing Grafana dashboards do not need to be adjusted in any way. And if you choose Flux, here’s what to specify: … as shown in the screenshot below. Unfortunately, I lost all my data, but I was pleasantly surprised with the new features offered. There is no separate plugin that needs to be installed or separately purchased. Being able to perform cross-measurement joins also allows you to run calculations using They can be accomplished using TICKscript, Flux allows you to write queries that go beyond the limits of InfluxQL, as explained below. to pivot data tables by rowKey, columnKey, and valueColumn parameters. and look for: // Join memory used with total processes to calculate. Thank you for your patience! Thx, Has this been solved? The ability to generate histograms has been a highly requested feature for InfluxQL, but has never been supported. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. to the underlying data source rather than operating on data in memory. Flux is an alternative to InfluxQL View this page in the v2.7 documentation. I know that v2.0 supports InfluxQL but we have dynamic query building (advanced filtering) and supporting only 1 dialect (flux) seemed good idea. The new documentation for InfluxDB Cloud Serverless is a work 2. Use the Flux histogram() function to to your account. Because filter() uses string concatenation inline, it can’t push its operation Flux lets you group by any column in the dataset, including _value. The new core of InfluxDB built with Rust and Apache Arrow. window.__mirage2 = {petok:"f27xGwRRM7tm9TU7QdMBrkQcR7YzOYZK_Cu4XkH4hGM-1800-0"}; provide much broader support for type conversions and let you perform some long-requested Flux vs InfluxQL | InfluxDB OSS 2.0 Documentation joins them, and then calculates the average amount of memory used per running process: InfluxQL’s sorting capabilities only let you control the Example flux query (takes 30 seconds to return): Value=from (bucket: "Test") |> range (start: 2022-01-26T05:00:00.0000000Z, stop: 2022-01-27T05:00:00.0000000Z) |> filter (fn: (r) => r._measurement == "TotalPower_Raw_AltBadQlty.Raw" and r._field == "Value") sort order of time using the ORDER BY time clause. to perform many more type conversions, including casting boolean values to integers. Very slow Influxql performance (Influxdb 2.6) The example below takes data from two measurements, mem and processes, subsequent operations there. InfluxDB v2.7 is the latest stable version. But in the chart I get multiple stacking lines, each for every tag with different colors. offers different functionality than InfluxDB Cloud InfluxDB v2.7 is the latest stable version. and other SQL-like query languages for querying and analyzing data. Compare InfluxDB to SQL databases | InfluxDB OSS 1.8 Documentation The following functions use more memory or CPU than others. Flux is an alternative to InfluxQL and other SQL-like query languages for querying and analyzing data. So I though it is a good time to move our system (written in Go) to Influxdb 2.0 because Flux has at first sight some nice features over InfluxQL (joins over measurements). Use Flux Strings package functions to operate on string data. If there is specific information you’re looking for, please In flux series are "separate" by default. Generating histograms isn’t supported in InfluxQL. Depending on the column type, Flux sorts records lexicographically, numerically, or chronologically. Investigate flux vs. influxql performance with multiple ... - GitHub Flux’s sort() function sorts records based on list of columns. For a complete list of Flux functions, view all Flux functions. You can also create multiple InfluxDB Data Sources in Grafana. We’re continuing to add functions to complete parity between Flux and InfluxQL. from(bucket: “kpi”) For more information, see InfluxDB OSS URLs. Use Flux Strings package functions to operate on string data. Seems that library was quite low in their priority list as it got to release v1 without any meaningful review. If you want to replicate the InfluxQL query than you should do: The group statement is telling flux to not group any of the tags (to replicate the fact that you are grouping by time only in the InfluxQL query). todo2: queries need to be rewritten - on v1.8 InfluxQL is at least 10x faster than Flux - so for existing features there is no point to implement them in Flux as you would have significant performance hit. Comparing InfluxDB and QuestDB Databases | QuestDB but even TICKscript’s join capabilities are limited. Flux Windowing and Aggregation | InfluxData InfluxQL doesn’t support working with geo-temporal data. With Grafana 7.1, you can create much more powerful queries to populate your dashboard charts, by using Flux queries to do things that just aren’t possible in InfluxQL: Here’s a detailed comparison of InfluxQL and Flux with code samples. InfluxQL does not support windowing data by calendar months and years due to their varied lengths. Can a court compel them to reveal the informaton? This means that any Flux query that does not specify otherwise will always group by every tag (like adding a GROUB BY * in your InfluxQL query). Does the policy change for AI-generated content affect users who (want to)... InfluxQL to new task FLUX with resample and group, List distinct values with timestamp from InfluxDB via InfluxQL, Convert InfluxQL to FLUX query in Grafana, InfluxDB Flux - Filter where field matches value, Dereference a pointer to volatile structure in C++. The Flux Geo package is a collection of functions that join data from any bucket, any measurement, and on any columns as long as The tests consist of 3 main cases: Getting the last 7 days of raw data takes on average 1.8s, Getting the average of the last 7 days with an interval of 5 minutes takes on average 46.3ms, Getting the average of the last 30 days with an interval of 5 minutes takes on average 201.3ms, Getting the last 7 days of raw data takes on average 26.7ms, Getting the average of the last 7 days with an interval of 5 minutes takes on average 1.3s, Getting the average of the last 30 days with an interval of 5 minutes takes on average 6.2s. This integration is available today with the launch of Grafana 7.1. Thank you for being part of our community! Why is the 'l' in 'technology' the coda of 'nol' and not the onset of 'lo'? Is it expected for Flux queries to be significantly slower? Scan this QR code to download the app now. The new documentation for InfluxDB Cloud Serverless is a work Once you’ve gotten Grafana and InfluxDB up and running, see this guide on how to integrate InfluxDB 1.8 with Grafana, and this document on integrating InfluxDB 2.0 with Grafana. She will demonstrate how to install it, insert data, and build your first Flux query. Join that data with data in InfluxDB to enrich query results. Flux uses functional language patterns that overcome many InfluxQL limitations. This article outlines many of the tasks possible with Flux but not InfluxQL and provides information about Flux and InfluxQL parity. According to this post, InfluxDB created Flux primarily for two reasons: Query support: They concluded SQL could not easily handle the types of queries they wanted to run on time-series data. InfluxDB v2 uses a new v2 API and new Flux data scripting language. The text was updated successfully, but these errors were encountered: I commented on the post discussed in OPs link noting that the query performance is significantly worse in Flux compared to InfluxQL in situations where you want to query from multiple measurements. Seems that InfluxData has outsources their library rewrite to third party that seems to be Java developers than Go. generate a cumulative histogram. InfluxQL does not support windowing data by calendar months and years due to their varied lengths. Flux’s histogram() function uses input Pushdowns are functions or function combinations that push data operations Use the Flux group() function SQL vs. Flux: Choose the right query language for time-series data The Flux hourSelection function For more information about Flux profilers, see the Flux Profiler package. Let's take a. I wanted to know the performance differences between Flux and InfluxQL in a scaled setup that has around 10,000 instances of telegraf pushing data every minute and also data being accessed for the time range of 2-3 months.So, which of flux or influxql will help me access data in the specified range at a much faster rate and without causing any OOM issue? InfluxQL supports type casting for numeric data types (floats to integers and vice versa) only. Flux’s join() function lets you Here’s a demo showing how this new Grafana plugin for InfluxDB works, which Grafana team member Ryan McKinley presented at InfluxDays London 2020 Virtual Experience: As mentioned above, we’ve exposed the InfluxDB 1.x write API in InfluxDB Cloud 2. This page documents an earlier version of InfluxDB. In flux series are "separate" by default. InfluxQL query editor The InfluxQL query editor helps you select metrics and tags to create InfluxQL queries. Depending on the number of series returned after filter()(cardinality), this can quickly become many billions of points. To be honest - it seems that InfluxData really wanted to have v2.0 for some years but at some point completely have pivoted to `Iox` (different product) and I guess will let InfluxDB slowly die off as it is not their priority anymore. This level of compatibility is part of our roadmap for InfluxDB 2.0 Open Source (OSS). The Flux Geo package is a collection of functions that ), Create multiple data sources to connect to different InfluxDB. Here’s where you can learn more about this InfluxDB 1.x compatibility API, including how to authenticate all your writes and queries, as well as access the compatibility endpoints. Connect and share knowledge within a single location that is structured and easy to search. Flux is an alternative to InfluxQL and other SQL-like query languages for querying and analyzing data. We are adding new information and content almost daily. Flux uses functional language patterns making it incredibly powerful, flexible, and able to overcome many of the limitations of InfluxQL. Thank you for being part of our community! The difference in speed is insignificant if we select just one measurement but becomes increasingly large when selecting more measurements. InfluxDB v2.7 is the latest stable version. CSV responses), however the performance penalty is too big to ignore. When filling in the URL field, keep in mind that for InfluxDB 1.8, the default port is 8086. Join Data quickly -- InfluxQL 1.8 vs Flux 2.0 performance Reddit, Inc. © 2023. InfluxQL lets you group by tags or by time intervals, but nothing else. calculates the covariance between two data streams. It also has a new custom query language called Flux, this language may make some tasks easier, but there is always a learning curve when adopting a custom query language. EDIT: for 10 measurements the run time is ~4.5 seconds, Note that this was just one example. Dual write to InfluxDB OSS and InfluxDB Cloud. By clicking “Post Your Answer”, you agree to our terms of service and acknowledge that you have read and understand our privacy policy and code of conduct. Is there something very basic that I am missing? data from separate measurements. Of course, your existing InfluxQL queries will . Prometheus vs InfluxDB - Key Differences, concepts, and ... - SigNoz This means you can sign up for InfluxDB Cloud 2, send data to it, and leverage your existing dashboard with just a few security credential changes. In the query I select: Note that I selected 10 random measurements which were different for both InfluxQL and Flux, so that the result was not stored in memory somehow. todo2: queries need to be rewritten - on v1.8 InfluxQL is at least 10x faster than Flux - so for existing features there is no point to implement them in Flux as you would have significant performance hit. 7 min read Taurai. InfluxQL: We are adding new information and content almost daily. View this page in the v2.7 documentation. Performance difference between Flux and InfluxQL #18088 - GitHub * The to() function only writes to InfluxDB 2.0. The difficulty of retrieving measurements should be identical since the contain exactly the same data. Why would one use influx-db over postgresql, then? The Flux sort() function The new core of InfluxDB built with Rust and Apache Arrow. Bear in mind that Flux language brings features that InfluxQL could not cover (joins, pivots, external data sources…). I am using InfluxDB 2.0.2. to perform many more type conversions, including casting boolean values to integers. Flux language unifies queries and ETL processings (InfluxQL, TickScripts). Thanks again for taking the time to write up your findings. Also related: https://community.influxdata.com/t/why-this-multiple-measurements-query-needs-10-seconds/21541. If you’re an InfluxDB 1.x user, now you can use Flux queries in your Grafana dashboards, in addition to InfluxQL. InfluxQL doesn’t support string manipulation when querying data. Also migrating system to flux first seems pointless. joins them, then calculates the average amount of memory used per running process: InfluxQL’s sorting capabilities are very limited, allowing you only to control the to calculate the covariance between two data streams. Already on GitHub? Use pushdown functions and function combinations at the beginning of your query. Thank you for your patience! So here begins concerns. Is this expected? Pivoting data tables isn’t supported in InfluxQL. Use the Flux Profiler package Although you can use a join in a TICKscript, Sign in sort order of time using the ORDER BY time clause. operations like casting a boolean values to integers. InfluxQL lets you group by tags or time intervals only. Then join our ever-helpful InfluxDB community and Slack for questions. Use Grafana 7.1 to create a new InfluxDB Data Source and choose Flux as the language. How to find out? @psteinbachs asked me to give some specifics about my set-up and queries. [CDATA[ - i am running influxdb 1.8 as a docker, Powered by Discourse, best viewed with JavaScript enabled. Flux performance compared to similar influxQL query Flux is an alternative to InfluxQL and other SQL-like query languages for querying and analyzing data. Flux vs InfluxQL | InfluxDB OSS 1.8 Documentation to join data from any bucket, any measurement, and on any columns as long as Here I’ve specified AWS US West 2 (Oregon) in my URL, but you might be running in a different region. Here is a sample query that i want to run: The Flux sort() function The covariance() function How to Build Grafana Dashboards with InfluxDB, Flux and InfluxQL rev 2023.6.6.43481. Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

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