![]() And since DBeaver allows you to quickly create simple charts and graphs, in many cases you do not need to export data to third-party services.This article will show you how you can use DBeaver (a free database tool for most popular databases) to see and update table comments. Thanks to this graph, you can quickly evaluate the change in the parameter you are interested in over time.īy right-clicking on this graph, you can copy it, save it as an image or print it.ĭata visualization greatly simplifies the perception by a person. But you can go to the Graph tab and see a graph of water depth changes over a long period of time. Just looking at this data, you will not be able to see any dependencies or draw any conclusions. Opening the table, you will see that the depth in two reservoirs is measured every 6 minutes. DBeaver is not only one of the very few tools that support this database, but it also allows you to visualize data from InfluxDB tables. One of the most widely used time-series databases is InfluxDB. For example, to monitor changes in depth of water in a pond, a special sensor is placed in it, transmitting the necessary information at certain time intervals. The tables of such databases usually contain only 2-3 columns, and they are usually used for collecting data over a large time period.ĭata in such tables is not added by people, it is done automatically. Time-series data is a sequence of data points collected over time intervals, giving us the ability to track changes over time. Let’s talk about what data visualization options DBeaver provides for them.Ī time-series database (TSDB) is a computer system that is designed to store and retrieve data records that are part of a “time series”. For example, time-series databases are highly specialized and work differently. Not all databases can visualize table data in chart forms. In the data editor, this feature works in a more general way, but can also be useful if you need to quickly create a simple chart to evaluate the dependence of data in one column on another. In one of our previous articles, we talked about how charts work in the grouping panel. Using the context menu, you can copy a finished chart, save it as an image or print it to and add it to your report. But if you need to display the maximum payment sizes for each country on the chart, you need to select the MAX function, and so on. On the chart, you can see the sums of all payments for each country. The SUM function is selected by default, and it is suitable for our case. If you want to create a chart for a particular number of columns, you can change the sample count and with the drop-down list you can change the sample function. In a window that opens you can set columns for the x-axis and y-axis and change the default labels to custom-made ones. Right-click on the chart and go to Settings. In our case, we need to select Total and BillingCountry columns. This can be useful if you need to visualize the ratio of particular columns in your table. Table columns for the x-axis and y-axis are always selected automatically, but you can easily change them to another. To get a chart of the final amount of payments depending on the customer’s country, simply click on the Chart tab on the left side of the editor. To change the number of rows loaded from the database, you can use a special field in the bottom toolbar of the Data Editor. If it turns out to be too large, the chart may not be very informative, and it may take a long time to load. Therefore, beforehand, please make sure that the fetch size matches what you need. Please note that all loaded table rows will be visualized. It can be done by presenting table data in the form of a bar chart while working in the Data Editor. ![]() To create a quarterly report, you may need to illustrate the dependence of payment amounts on customers’ countries. ![]() For your convenience, we have added the ability to visualize data to our PRO versions as one more way to work with data. Relational databases remain the most common databases our users constantly work with, and our app offers a wide range of features for working with the data stored in them. DBeaver supports a large number of databases with different purposes. ![]()
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