Grafana elasticsearch lucene query example

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Grafana elasticsearch lucene query example

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Learn more. Elasticsearch lucene query in grafana Ask Question. Asked 4 years, 3 months ago. Active 6 months ago. Viewed 17k times. I have Grafana 2. Can you express the query you want to use in human terms? Note that I wrote queued in lowercase, that makes a difference. Can you try? Active Oldest Votes.

Could you share an example of the lucene query you provided? I have a similar use case. Sign up or log in Sign up using Google. Sign up using Facebook. Sign up using Email and Password. Post as a guest Name. Email Required, but never shown. The Overflow Blog. The Overflow How many jobs can be done at home? Featured on Meta.

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grafana elasticsearch lucene query example

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Technical site integration observational experiment live on Stack Overflow. Related 0. Hot Network Questions. Question feed.By using our site, you acknowledge that you have read and understand our Cookie PolicyPrivacy Policyand our Terms of Service. The dark mode beta is finally here. Change your preferences any time. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. I have the following data in Elasticsearch.

Since data is a little bit long, I've attached it at the bottom.

Using Elasticsearch in Grafana

I am trying to figure out how to query in order to show something on a graph in Grafana. I know my data in elasticsearch is not suitable for graphs, but I don't have any other sample data, and I just want to learn how to work this query. I've done something like this with mysql and grafana.

The data wasn't suitable for a graph, but I managed to make it like the below image. I want to do the above with Elasticsearch. Since they use Lucene query different from MysqlI read some information on that. But I have no clues on what to put where. I want to show maybe metascoreor votes please look at the Json at the bottom on a graph. I used Postman.

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Here is the JSON type data. I want to use 'votes' or 'metascore' to appear on the graph. If this data is impossible to be displayed on a graph, then could you give me some tips on what I can put in the query and metric fields below so that I can work this when I have other sample data.

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First, you need to go to Data Sources in Grafanaand choose Elasticsearch. You put your index name here. And most importantly, you need a field that can tell time.

I used date field. I made a simple sample data like the below. Look at the date field. Go to Grafana dashboard.

grafana elasticsearch lucene query example

And in the query, you will see that Date Histogram will be automatically set to date. Choose the metric that you want. I know my data, field, and so on is not ideal graph material. But I focused on how, not what. Please think of this as 'hello world' for Elastic and Grafana. Hope this helps someone and save their time and energy.Lucene has a custom query syntax for querying its indexes. Here are some query examples demonstrating the query syntax.

Search for either the phrase "foo bar" in the title field AND the phrase "quick fox" in the body field, or the word "fox" in the title field. Note that for proximity searches, exact matches are proximity zero, and word transpositions bar foo are proximity 1.

Whilst both queries are effectively equivalent with respect to the documents that are returned, the proximity query assigns a higher score to documents for which the terms foo and bar are closer together. Range Queries allow one to match documents whose field s values are between the lower and upper bound specified by the Range Query.

Range Queries can be inclusive or exclusive of the upper and lower bounds. Sorting is done lexicographically. Solr's built-in field types are very convenient for performing range queries on numbers without requiring padding. The higher the boost factor, the more relevant the term will be, and therefore the higher the corresponding document scores.

Grafana vs Kibana

A typical boosting technique is assigning higher boosts to title matches than to body content matches:. Lucene queries can also be constructed programmatically.

This can be really handy at times. Besides, there are some queries which are not possible to construct by parsing.

These classes are part of the org. Lucene Query Syntax Lucene has a custom query syntax for querying its indexes. Keyword matching Search for word "foo" in the title field. Proximity matching Lucene supports finding words are a within a specific distance away. Search for "foo bar" within 4 words from each other. The trade-off, is that the proximity query is slower to perform and requires more CPU. Solr DisMax and eDisMax query parsers can add phrase proximity matches to a user query.

Range searches Range Queries allow one to match documents whose field s values are between the lower and upper bound specified by the Range Query. Parsing Queries Queries can be parsed by constructing a QueryParser object and invoking the parse method. Available query objects as of 3. MUST ; bq. About Me Siblings SolrTutorial.By using our site, you acknowledge that you have read and understand our Cookie PolicyPrivacy Policyand our Terms of Service.

The dark mode beta is finally here. Change your preferences any time. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information.

I have the following data in Elasticsearch. Since data is a little bit long, I've attached it at the bottom.

I am trying to figure out how to query in order to show something on a graph in Grafana. I know my data in elasticsearch is not suitable for graphs, but I don't have any other sample data, and I just want to learn how to work this query.

I've done something like this with mysql and grafana. The data wasn't suitable for a graph, but I managed to make it like the below image.

I want to do the above with Elasticsearch. Since they use Lucene query different from MysqlI read some information on that. But I have no clues on what to put where. I want to show maybe metascoreor votes please look at the Json at the bottom on a graph. I used Postman. Here is the JSON type data. I want to use 'votes' or 'metascore' to appear on the graph.

If this data is impossible to be displayed on a graph, then could you give me some tips on what I can put in the query and metric fields below so that I can work this when I have other sample data. First, you need to go to Data Sources in Grafanaand choose Elasticsearch. You put your index name here. And most importantly, you need a field that can tell time. I used date field. I made a simple sample data like the below. Look at the date field.

Elasticsearch/Kibana Queries - In Depth Tutorial

Go to Grafana dashboard. And in the query, you will see that Date Histogram will be automatically set to date. Choose the metric that you want. I know my data, field, and so on is not ideal graph material. But I focused on how, not what.

Please think of this as 'hello world' for Elastic and Grafana. Hope this helps someone and save their time and energy. Learn more.I have been struggling to find a visualization solution that fits my company's needs. I am open to any visualization solution that could accomplish this, grafana, kibana, banana, I dont care as long as it works.

Thanks for the help. Edit: To give a usecase without you having to click the link: I need to calculate the mean time between failures for jenkins pipelines. Using an Area visualization you could follow the following steps in order to get a ratio overview of any information that is available:.

Your solution does work for sure, when using kibana there is also the option I found to use timelion to display some basic calculations and thus get a visual of a ratio but I can not get the mean-time between failure part to work in kibana without adding additional metrics to my data. Interesting question. Visualizations are not the issue. This topic was automatically closed 28 days after the last reply. New replies are no longer allowed. June 11,am 1. Cheers, Tobias.

June 14,pm 2. You see both filters being complement to each other. Hope this helps! June 14,pm 4. Hello jhg and welcome to this forums I suppose, Your solution does work for sure, when using kibana there is also the option I found to use timelion to display some basic calculations and thus get a visual of a ratio but I can not get the mean-time between failure part to work in kibana without adding additional metrics to my data.

Still thanks a lot for jumping right to my help soon after signing up on the forums, Best, Tobias. Too bad the answer is not here yet Regards, Jaap.If you use Prometheus and Grafana for metrics storage and data visualization, Solr includes a Prometheus exporter to collect metrics and other data.

You can start solr-exporter by running. The start commands provided with the Prometheus Exporter support the use of custom java options through the following environment variables:. Your SolrCloud might be secured by measures described in Securing Solr. The security configuration can be injected into solr-exporter using environment variables in a fashion similar to other clients using SolrJ.

This is possible because the main script picks up Environment Variable Options and passes them on to the Java process. Therefore the example reuses it from the Solr web app. Of course, you can use a different source. The configuration for the solr-exporter defines the data to get from Solr. This includes the metrics, but can also include queries to the PingRequestHandler, the Collections API, and a query to any query request handler.

Below is a slightly shortened version of it:. The solr-exporter works by making a request to Solr according to the definitions in the configuration file, scraping the response, and converting it to a JSON structure Prometheus can understand. The configuration file defines the elements to request, how to scrape them, and where to place the extracted data in the JSON template. The solr-exporter configuration file always starts and closes with two simple elements:.

Between these elements, the data the solr-exporter should request is defined. There are several possible types of requests to make:. Scrape the response to a Collections API request.

Within each of these types, we need to define the query and how to work with the response.

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To do this, we define two additional elements:. For more details about how to structure these queries, see the jq user manual. See the section Exposition Format below for information about what information should go into each property, and an example of how the above example is translated for Prometheus. For example, solr-exporter converts the JSON in the previous section to the following:. In order for Prometheus to know about the solr-exporterthe listen address must be added to prometheus.

This graphic provides a more detailed view: Figure 1. Modify the solr-exporter-config. Solr has a default configuration you can use, but if you would like to modify it before running the exporter the first time, see the section below Exporter Configuration. Start the exporter from within Solr. See the section below Starting the Exporter. Modify your Prometheus configuration to listen on the correct port.

See the section below Prometheus Configuration. This port will be used to configure Prometheus. It can be any port not already in use on your server. The default is If you are running Solr in SolrCloud mode, do not specify this parameter. If you are running Solr in Standalone mode, do not specify this parameter.

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If neither the -b parameter nor the -z parameter are defined, the -b parameter default is used. The solr-exporter creates thread pools for requests to Solr. Request latency can be improved by increasing the number of threads. The default is 1. The solr-exporter collects metrics from Solr every few seconds controlled by this setting.Comment 0. While very similar in terms of what can be done with the data itself within the two tools.

The main differences between Kibana and Grafana lie in configuring how the data is displayed. Grafana has richer display features and more options for playing around with how the data is represented in the graphs. Here are some instructions on setting up the integration with Elasticsearch and getting started with your first Grafana dashboard. This article assumes you have an ELK Stack up and running already, so the first step is to install Grafana.

Understanding Lucene Querying - Lucene Query Tutorial For Beginners - Edureka

Once installed, your next step is to set up the integration with a data source — in our case, Elasticsearch. You will be required to enter the name of the Elasticsearch index with which you want to integrate. Use this cURL on the host on which Elasticsearch is installed to get a list of all Elasticsearch indices:. In the HTTP settings section, you will be required to select the type of access to use. Just to clarify, in the direct access, the URL that you provide is accessed directly from the browser, whereas, in the proxy access, the Grafana backend acts as a proxy and routes requests from the browser to Elasticsearch.

A green success message means that Elasticsearch was connected successfully.

23 Useful Elasticsearch Example Queries

For this tutorial, I defined two data sources for two different Elasticsearch indices — one for Apache logs shipped using Filebeat and the other for server performance metrics to Elasticsearch using Metricbeat.

In Grafana 4. By default, a nice panel is displayed showing some sort of data over time. To edit the graph, you need to click the panel title and then Edit. Our graph is opened in edit mode, with the Metrics tab open. This tab is the most important one because it defines what data to display. Of course, and like in Kibana, the options on display here will vary based on the data source and data type.

The options for defining what and how the data is to be cut is similar to Kibana — in the query field, define your Lucene query and then select an aggregation type for both the Y metric and X Group by axes. You can also add dynamic links to the panel that can link to other dashboards or URLs. We can continue to build our panels in a similar way.

grafana elasticsearch lucene query example

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