![]() ![]() SQL support, JSON and Arrays as first class citizens. This post is about the major reasons why we chose Clickhouse and not ElasticSearch (or MySQL) as a storage solution for essential data - request logs (Important note: we still use MySQL there, for OLTP purposes). We are also using ELK (ElasticSearch, Logstash, filebeat, Kibana) stack on other projects, for very similar purposes - getting http and mail logs, for later analysis and search via Kibana.Īnd, of course, we use MySQL. (If you are an API author and want to utilize ApiRoad analytics & billing plaftform to sell API subscriptions, drop me a message at with your API description – I will be happy to chat!) As an API developer myself, I know how important is the observability and analysis of HTTP request/response cycle to maintain the quality of service and quickly detect bugs, this is especially true for pure API service. We are using Clickhouse for log storage and analytics in project (which is an API marketplace where developers sell their APIs, still in active development) and we are happy with the results so far. More than two years have passed since, and the pace of Clickhouse development is not slowing down: 800 merged PRs just during last month! This didn't blow your mind? Check out the full changelog, for example for 2020: The description of just new features for each year may take an hour to go through.įor the sake of honest comparison, ElasticSearch repo has jaw-dropping 1076 PRs merged for the same month, and in terms of features, their pace is very impressive, as well! Here is a simple question that calculates the average price by town, within the county of Greater Manchester:Ĭlick the Visualize button to see the results in a tabular view.īelow the results, click the Visualization button to change the visualization to a bar chart (or any of the other options avaialable):įind more information about Metabase and how to build dashboards by visiting the Metabase documentation.In 2018, I've written an article about Clickhouse, this piece of content is still pretty popular across the internet, and even was translated a few times. For example, the following question is being asked of a table named uk_price_paid in the default database. Notice you can build a question by starting wtih a database and table. In the top-right corner, click the + New menu and notice you can ask questions, run SQL queries, and build a dashboard:įor example, here is a SQL query run on a table named uk_price_paid that returns the average price paid by year from 1995 to 2022:Ĭlick on + New and select Question. For example:Ĭlick the Save button and Metabase will scan your database for tables.Įxit the Admin settings by clicking the Exit admin button in the top-right corner. Enable a secure connection if your ClickHouse server is configured to use SSL. Give your database a Display name, which is a Metabase setting - so use any name you like.Įnter the connection details of your ClickHouse database. If your driver installation worked, you will see ClickHouse in the dropdown menu for Database type: Alternately, you can click on the Databases tab and select the Add database button. If prompted to select a database, select " I'll add my data later":Ĭlick on the gear icon in the top-right corner and select Admin Settings to visit your Metabase admin page.Ĭlick on Add a database. Start (or restart) Metabase so that the driver gets loaded properly.Īccess Metabse at On the initial startup, you will see a welcome screen and have to work your way through a list of questions. Download the latest version of the JAR file at If you do not have a plugins folder, create one as a subfolder of where you have metabase.jar saved. Download the ClickHouse plugin for Metabase If you are using self-managed ClickHouse, the connection details are set by your ClickHouse administrator. Select the service that you will connect to and click Connect:Ĭhoose HTTPS, and the details are available in an example curl command. The details for your ClickHouse Cloud service are available in the ClickHouse Cloud console. Use the username appropriate for your use case. The USERNAME and PASSWORD: out of the box, the username is default. The DATABASE NAME: out of the box, there is a database named default, use the name of the database that you want to connect to. ![]() The HOST and PORT: typically, the port is 8443 when using TLS or 8123 when not using TLS. To connect to ClickHouse with HTTP(S) you need this information: There are several others to look at in the same documentation category. This guide uses the UK Price Paid dataset, so you might choose that one. If you do not have a dataset to work with you can add one of the examples. ![]()
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