Adding a custom filter To add a custom. Manage the full life cycle of APIs anywhere with visibility and control. Knowledge drop is a good header for this kind of content, is there a search trick for this? Computing, data management, and analytics tools for financial services. Permissions management system for Google Cloud resources. Here's a quick overview of some of the key elements of Liquid: Tags: Tags are used to create control flow statements in Liquid. Managed backup and disaster recovery for application-consistent data protection. Compute instances for batch jobs and fault-tolerant workloads. We can Create a single measure that allows a user to choose any available Traffic Source and see a count of users for that traffic source (to then be compared to the overall count of users to calculate a percentage)filter: incoming_traffic_source {type: stringsuggest_dimension: derived_orders.traffic_sourcesuggest_explore: derived_orders}. Language detection, translation, and glossary support. Platform for defending against threats to your Google Cloud assets. For even more advanced use cases that require different links in different Explores, use liquid tags to incorporate conditions into Links: dimension: state {sql: ${TABLE}.state ;;html: {% if _explore._name == "order_items" %}{{ value }}{% else %}{% endif %} ;; Check out some of the following links if you want to read more on linking and drillingHelp centre article hereMore Powerful drilling here. Ensure your business continuity needs are met. Accelerate startup and SMB growth with tailored solutions and programs. Threat and fraud protection for your web applications and APIs. Get reference architectures and best practices. Migration and AI tools to optimize the manufacturing value chain. Note that some fields will not have any default link. Teaching tools to provide more engaging learning experiences. See the Analytic Block Flexible period-over-period analysis Community post for an example of using date_start and date_end for flexible period-over-period analysis. Tools and partners for running Windows workloads. A great example of this can be seen here. Virtual machines running in Googles data center. While this simple method meets many use cases, it can't enable every analytical need. Links can also take users to a pre-configured Explore with dimensions, measures, and filters already present on the page. Cloud network options based on performance, availability, and cost. API management, development, and security platform. Compute, storage, and networking options to support any workload. Furthermore, it may clutter the Explore experience for users. Connectivity management to help simplify and scale networks. See the Field parameters documentation page for a complete list. Enroll in on-demand or classroom training. CPU and heap profiler for analyzing application performance. Best practices for running reliable, performant, and cost effective applications on GKE. Migrate quickly with solutions for SAP, VMware, Windows, Oracle, and other workloads. Discovery and analysis tools for moving to the cloud. Sometimes dates are in a different format and customers will use liquid to change the format. Data warehouse to jumpstart your migration and unlock insights. So What does dynamic really mean? Guidance for localized and low latency apps on Googles hardware agnostic edge solution. Guides and tools to simplify your database migration life cycle. Dashboard to view and export Google Cloud carbon emissions reports. Liquid is a templating language that you can use in Looker to create more dynamic content. The URL to Looker's default drill link. Come hang out at discourse.looker.com if you've got any more Looker-y questions :) How Google is helping healthcare meet extraordinary challenges. Block storage for virtual machine instances running on Google Cloud. The SQL that is generated for the previous results is shown next: However, when you generate a query using the count_with_liquid measure, you get the following results: This example shows that, instead of a count for each month in the query, you receive a count for each month and for each status. Solution for improving end-to-end software supply chain security. Example. From a SQL perspective, dimensions and measures can only alter the outermost WHERE or HAVING clauses in your query. Options for training deep learning and ML models cost-effectively. Metadata service for discovering, understanding, and managing data. Develop, deploy, secure, and manage APIs with a fully managed gateway. Unified platform for training, running, and managing ML models. Hey @berkayakn! Fully managed open source databases with enterprise-grade support. Command line tools and libraries for Google Cloud. sql, sql_on, and sql_table_name). Tools for managing, processing, and transforming biomedical data. For details, see the Google Developers Site Policies. Read our latest product news and stories. Sorry, we're still checking this file's contents to make sure it's safe to download. Fully managed database for MySQL, PostgreSQL, and SQL Server. Enterprise search for employees to quickly find company information. Currently, I have a filter that is a string, so it's ordering the options like this: The order of the options is incorrect, as you can see $1M is right after $15k and before $200k. Fully managed, native VMware Cloud Foundation software stack. Custom and pre-trained models to detect emotion, text, and more. Put your data to work with Data Science on Google Cloud. Single interface for the entire Data Science workflow. Service for executing builds on Google Cloud infrastructure. Add to Compare. Block storage that is locally attached for high-performance needs. Solutions for modernizing your BI stack and creating rich data experiences. Speed up the pace of innovation without coding, using APIs, apps, and automation. Workflow orchestration service built on Apache Airflow. Object storage thats secure, durable, and scalable. Explore benefits of working with a partner. Serverless change data capture and replication service. Digital supply chain solutions built in the cloud. Command-line tools and libraries for Google Cloud. ERROR: more than one row returned by a subquery used as an expression. Service to prepare data for analysis and machine learning. Custom machine learning model development, with minimal effort. Next, you use a Liquid variable to inject the user input into SQL queries, Derived tables are probably the most common use case for templated filters, because they allow us to restrict tables to certain criteria prior to building them.In Looker you can write subqueries, or derived tables, essentially passing a templated filter to this query to operate on a subset of data.Templated filters are created using a filter: LookML Object. For example: The second step is to use Liquid to add the templated filter or Liquid parameter as desired. Security policies and defense against web and DDoS attacks. File storage that is highly scalable and secure. In derived tables, the templated filter will act upon a column or set of columns from the underlying database. Convert video files and package them for optimized delivery. Serverless, minimal downtime migrations to the cloud. Data transfers from online and on-premises sources to Cloud Storage. Chrome OS, Chrome Browser, and Chrome devices built for business. FHIR API-based digital service production. Package manager for build artifacts and dependencies. Service for creating and managing Google Cloud resources. You can do this by including the sql_quote Liquid filter. Run and write Spark where you need it, serverless and integrated. Managed environment for running containerized apps. They will not work with the description parameter at the Explore level. This content is subject to limited support. Solutions for content production and distribution operations. Infrastructure to run specialized Oracle workloads on Google Cloud. Containerized apps with prebuilt deployment and unified billing. Manage workloads across multiple clouds with a consistent platform. Reimagine your operations and unlock new opportunities. In-memory database for managed Redis and Memcached. Looker sends this SQL to the database if a user filters the Explore query on the city value New York: If you are using the _filters['view_name.field_name'] Liquid variable for a string field in a derived table where the value is rendered in SQL, you will get the following LookML warning if you do not append | sql_quote to the Liquid variable: Enterprise search for employees to quickly find company information. Add to Compare. Continuous integration and continuous delivery platform. Please note that you must use the tag syntax {% date_start date_filter_name %} or {% date_end date_filter_name %}. Automate policy and security for your deployments. Liquid is a templating language that you can use in Looker to create more dynamic content. This is necessary to properly retrieve the values in the referenced field. Interactive shell environment with a built-in command line. Consequently, choosing the proper type of Liquid variable reference is important. Viewing your conditional alert notifications, Standard extended support release program overview, Google maintenance policy for Looker-hosted services, Organizing and managing access to content, Public sharing, importing, and embedding of Looks, Using the Looker Scheduler to deliver content, Scheduling deliveries to the Slack integration, Configuring content deliveries for Looker users (Looker admins), Conditionally delivering Looks and Explores, Configuring alerts for Looker users (Looker admins), Adding custom formatting to numeric fields, Selecting an effective data visualization, Adding saved content to dashboards (legacy feature), Adding and editing user-defined dashboard filters, Converting from LookML to user-defined dashboards, Converting from user-defined to LookML dashboards, Using SQL Runner to create queries and Explores, Using SQL Runner to create derived tables, Managing database functions with SQL Runner, Accessing and editing project information, Configuring project version control settings, Incorporating SQL and referring to LookML objects, Customizing the user experience with LookML, Changing the Explore menu and field picker, Advanced LookML customization with Liquid, Developing a custom block for the Looker Marketplace, Developing a custom visualization for the Looker Marketplace, Use embedding, the API, and the extension framework, Security best practices for embedded analytics, Setting permissions for Looker extensions, Configuring your SSL certificate for proper HTTPS, Allowing Looker support to access a customer-hosted deployment, Customer-hosted installation of rendering software, Designing and configuring a system of access levels, Creating Looker usage reports with System Activity Explores, Enabling the Looker mobile application for your instance, Installing the Looker mobile application on your mobile device, Signing in to the Looker mobile application, Navigating to content in the Looker mobile application, Viewing Looks in the Looker mobile application, Viewing dashboards in the Looker mobile application, Migrate from PaaS: Cloud Foundry, Openshift, Save money with our transparent approach to pricing. Java is a registered trademark of Oracle and/or its affiliates. NAT service for giving private instances internet access. There are two ways to make use of a Liquid variable: Output Syntax: this type inserts text. Make smarter decisions with unified data. Tool to move workloads and existing applications to GKE. Templated filters are referenced inside of a liquid block using the syntax {% condition filter_name %}. Kubernetes add-on for managing Google Cloud resources. Real-time application state inspection and in-production debugging. Dedicated hardware for compliance, licensing, and management. Cloud-native document database for building rich mobile, web, and IoT apps. Traffic control pane and management for open service mesh. Analyze, categorize, and get started with cloud migration on traditional workloads. Viewed 483 times . Looker is a modern data platform in Google Cloud that lets you analyze and visualize your data interactively. Compliance and security controls for sensitive workloads. 1 hour What does it look like when we put them all together. Insights from ingesting, processing, and analyzing event streams. In those cases, the field name will only be changed in the resulting visualization. The French industrial-gases company said first-quarter revenue . POSTGRESQL / LOOKER. Solution for analyzing petabytes of security telemetry. In that case, you can add the sql_boolean filter to get the true and false values you need: The same patterns apply to the _is_selected and _is_filtered variables. Solution for running build steps in a Docker container. Migrate quickly with solutions for SAP, VMware, Windows, Oracle, and other workloads. Tools for monitoring, controlling, and optimizing your costs. Service to prepare data for analysis and machine learning. With liquid we can do this pretty easily.First we make sure every user has a user attribute for the region they are in, Then we can create a time dimension that checks the uses region and outputs a formatted date accordingly.dimension: date_formatted {label: "Date_formatted"sql: ${created_date} ;;html:{% if _user_attributes['region'] == 'EU' %}{{ rendered_value | date: "%m/%d/%y" }}{% endif %}{% if _user_attributes['region'] == 'USA' %}{{ rendered_value | date: "%d/%m/%y" }}{% endif %};;}, We pass the value of the dimension through the liquid date filter which converts a timestamp into another date format. /explore/thelook/orders?fields=orders.order_amount&limit=500, The value of the field with Looker's default formatting and default linking. Unified platform for IT admins to manage user devices and apps. Simplify and accelerate secure delivery of open banking compliant APIs. App to manage Google Cloud services from your mobile device. The external page could be a link to the brands home page or simply google search with the clicked on value injected into the link as the search term. Migration solutions for VMs, apps, databases, and more. Label parameters at the field level, including the. You can use Liquid variables with the description parameter to dynamically change the description for a field. Migrate and manage enterprise data with security, reliability, high availability, and fully managed data services. Streaming analytics for stream and batch processing. Workflow orchestration for serverless products and API services. Command line tools and libraries for Google Cloud. Cloud-native document database for building rich mobile, web, and IoT apps. IDE support to write, run, and debug Kubernetes applications. Service for dynamic or server-side ad insertion. Air Liquide SA reported a rise in first-quarter revenue on Thursday as its gas and services division posted growth in all regions. Get financial, business, and technical support to take your startup to the next level. Object storage for storing and serving user-generated content. Check out how to do this hereChanging the label of a field based on the x being usedUsers sometimes want to have label names dynamically change depending on what model is been used or the explore, view, or field selected or a user attribute set for the user. An air-source heat pump can deliver 1 to 3 times more heat energy to a home than the electrical energy . Block storage that is locally attached for high-performance needs. Service to convert live video and package for streaming. Fits Frigidaire, Electrolux, and Kenmore refrigerators with a slide-out filter cartridge located in the front of the refrigerator compartment. Components for migrating VMs and physical servers to Compute Engine. Fully managed service for scheduling batch jobs. In this example of SQL usage, the database table is being determined according to which fields the user chooses. Content delivery network for serving web and video content. Serverless application platform for apps and back ends. Fully managed, native VMware Cloud Foundation software stack. The advantages of a heat pump are pretty simple: Heat pumps are incredibly efficient. Templated filters always result in a logical expression of some kind, and not the individual value entered by a user. Google Cloud's pay-as-you-go pricing offers automatic savings based on monthly usage and discounted rates for prepaid resources. Serverless application platform for apps and back ends. You can find more information about Liquid variables here. Reduce cost, increase operational agility, and capture new market opportunities. Is there a way to find other knowledge drops about looker in community.looker pages? If a derived table makes use of a templated filter, you cannot make the table persistent. For example, suppose you have the two following measures: When you generate a query using the count_without_liquid measure, you get the following results: In this case, the query returns a single count for each month. Analytics and collaboration tools for the retail value chain. Components for migrating VMs into system containers on GKE. To sum up, the use of the row[] syntax will not cause the field to be added to the query like {{ field_name._value }} does. Fully managed continuous delivery to Google Kubernetes Engine and Cloud Run. Cloud services for extending and modernizing legacy apps. In the example below, we are formatting both, day, week and month differently, and we add thecreatedgroup_label to simulate a date dimension group. Accelerate business recovery and ensure a better future with solutions that enable hybrid and multi-cloud, generate intelligent insights, and keep your workers connected. Specifically, there are several places in LookML where Liquid can be used: The action parameter The action parameter creates a data action that lets users perform field-level tasks in other tools, directly from Looker.