In most tiles, this section of the download pop-up is named Number of rows to include ; if the tile query contains any pivoted dimensions, this section is named Number of rows and columns to include.
Your options include:. Looker checks your permissions and determines whether the complexity of the query and the database dialect will allow the entire query to be downloaded. If you have the permissions to download results above a set limit and if Looker determines that your entire query can be downloaded, the All Results option will be available in the Download window.
When you select Custom , you can specify a number of result rows to download. If your query contains any pivoted dimensions, you can also specify a number of columns to download. This section covers legacy dashboards. For information on downloading dashboards using the new dashboard experience , see the Downloading data from a dashboard section. Looker lets you download your legacy dashboard so that you can store or share the current data. Select the Single column format box if you want the PDF to show the legacy dashboard tiles in a single vertical column.
Leave the box unselected if you want the PDF to show the tiles as they are arranged in the legacy dashboard. If you select the Expand tables to show all rows option, for dashboard tiles that use table visualizations, the PDF will show all the rows that are available in the table visualization, not just the rows that are visible in the dashboard tile thumbnail.
If you do not select this option, only the rows that are visible in the thumbnail without scrolling will appear in the PDF. Dashboard and query filters will still apply, as will visualization settings such as row limits , column limits , and settings made with the Limit Displayed Rows option.
You also have the option to specify the optimal size and orientation of your PDF by selecting from the Paper size drop-down menu. Large visualizations or groups of overlapping dashboard tiles may need to be resized to fit cleanly on a PDF page.
If you do not see the Paper size or Expand tables to show all rows options, talk to your Looker admin about installing the appropriate version of the Chromium renderer for your Looker instance.
When you download a dashboard as a PDF, the PDF will display the new dashboard experience or a legacy dashboard, depending on the permanent format of the dashboard. To download a CSV file from a legacy dashboard, click the gear icon in the upper right corner of the dashboard and select Download as CSVs to begin the download:.
The zipped directory will have a separate CSV file for each dashboard tile. Each CSV file includes the formatted data used to create the tile in the dashboard:.
When you download a dashboard as CSV files, the options for formatting downloads, such as setting custom row limits or choosing All Results , are unavailable. Looker suggests that you use a file extractor that recognizes UTF-8, such as 7-Zip , and to ensure that any third-party applications are configured to support UTF To download the data from a specific tile, click the three-dot icon and select Download Data :. The tile download window and options are similar to those for a Look or an Explore.
See the Downloading data from a Look or an Explore section for more information about the options available for customizing your data download. Here is an example project file browser with folders named after LookML file types:. You can also use the object browser to view all the objects in your project or to navigate to the LookML for a specific object.
To use the object browser, select the object browser icon below the folder icon in the Looker IDE:. For more information on the object browser, see the Navigating projects with the object browser documentation page. Select the type of LookML file you want to create. Once you create the file, be sure to use the include parameter if you want to reference elements from the file in other LookML files of your project.
However, there is no magic associated with this file type - it would work with any other. That said, we recommend using it. Looker will always require a model file to know where to start from. Whether due to working with multiple customers, multiple departments, or multiple databases, some Looker instances will want to share some LookML across multiple models.
You just move the declarations that would have normally gone directly in your model into a layer file and include it into each model. This layer is dedicated to holding any machine-generated LookML. This way, when changes happen in the database schema, you can simply re-run the LookML generator to get all of these updates, without affecting any hand-written changes you will have put into subsequent layers.
To better enable this workflow, we are working on the ability to have our LookML generator output its LookML into a single file instead of into one file per view. File naming conventions may vary, but I recommend naming it with a leading underscore so it sorts before other layers in the field picker.
In this layer, we use refinements to enrich our generated LookML with any standard declarations that follow the structure from the generated schema. The idea here is to only include things that are more closely related to the structure of the data than they are to specific business logic or use cases. As far as one vs multiple files, both are valid. Here is where the magic happens.
We can have a number of layers, each containing related business logic. And, we could even define related logic across multiple views in one file. Note in particular how the profit and customer concerns are separated, but the multiple objects adapted for each concern are grouped. For brevity, the LookML is written in a more compact style, and a fairly minimal schema is assumed. By now, you have hopefully realized that this is a fundamental shift, powered by a small but significant new syntax. As quite a novel approach, not all LookML developer teams will embrace it right away.
Is that just an automatic aspect of machine-generated view s in LookML? The hidden explores are the result of my personal preference. I think that for troubleshooting purposes and for power users, all views should have a hidden explore by default. Unless there are specific security requirements to the contrary.
So, I just took to a convention of putting those in the base layer as a matter of course. I used refinements recently. Hi fabio , I wanted to get your thoughts on something or at least let you know a scenario which I find annoying. The PoP block refines the main view that is used in both explores and it edits the main date dimension to include some specific PoP alterations.
Given both explores live in the same model and the include statements for this model pull in the PoP refinements, the explore that doesnt use PoP the TopN explore errors since a view it is using is referencing PoP fields which are not joined into the explore.
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