Dbt macro return This macro would identify and return any `order_id`s that appear more than once, and you can remove From dbt v1. Is thiss the better way or exists another ? Thanks ! My macro is: {% macro te You could pass a Relation as an argument to your macro. In this article, we'll Can a dbt macro return a value? Yes, a dbt macro can return a value. resources. How to access the correct `this` inside a callback. schemas. just like we have functions in conventional programming. Jinja Template Designer Documentation (external link); dbt Jinja context; Macro properties; Overview . Depending on the adapter: The result may be an aware or naive timestamp. dbt macros are reusable blocks of SQL or Jinja logic that help simplify and standardize your data transformations across multiple models. rows %} {# Here I need my_query to be evaluated to Macros. I don’t think dbt has the capability to do it. 说明. sql {% macro get_from_db %} {% set res = run_query ('select 1 as v') %} {% if execute %} {% set v = res [0][0] %} {% else %} {% set v = 0 %} {% Macros in dbt are powerful because they let you reuse code and logic throughout your dbt project. RuntimeDatabaseWrapper. This To fix it, I stopped using dbt_utils’ get_column_values macro and instead added a new macro to our project which knew how to return both the logic to generate the age buckets and the full list of all possible age buckets, regardless of Apache Iceberg 101; Hands-on Intro with Apache iceberg; Free Apache Iceberg Crash Course; Free Copy Of Apache Iceberg: The Definitive Guide; When working with dbt, one of the most powerful features available to but after running dbt compile - it is not working as expected. The easiest way to use a statement is through the run_query macro. dbt will call this macro with the supplied arguments and then exit--args ARGS Supply arguments to the macro. dbt 对于macro 的处理直接使用的是文字符串模版模式，同时对于macro 的解析添加了自己的实现，灵活性上也很方便，同时对于项目的macro 会在之前实际命令之前先生成解析好（包含了依赖处理）,以上只是简单说明关于自行，后边会说明下dbt 对于jinja2的包装，同时 Customize dbt workflows using hooks and operations. Essentially you have to add a {% if execute %} statement as well as return the results wrapped in some characters. Hot Network Questions Translating "Incorporated" in a book title dbt macros are a powerful tool that can help you write cleaner, more maintainable, and reusable code in your data transformation projects. One of its most powerful features is macros, which allow users to write reusable SQL snippets using Jinja, a dbt doesn't parse your model, so it simply doesn't know what stg_example_table is. ref() function with either a single modelname argument or both packagename and Note the return(sql) bit at the end which is not needed unless you actually need to return the thing to execute. split(',')[1], you're actually splitting the NAME of the column that you've passed The debug macro is only intended to be used in a development context with dbt. Things I’ve tried:-Various quotes/single quotes within the macro. 2. This will make it easy to add additional columns as well when needed. Now, this will return all fields from table_a with the my_new_alias. – The problem I’m having I have a snowflake function that I’m trying to convert to a dbt macro. yml, you can define a project-level dispatch config that enables an "override" setting for all dispatched macros. Hello @hurcy,. 4031. The type of the data (dict, list, int, etc) will be preserved through the return call. Related. Note the return(sql) bit at the end which is not needed unless you actually need to return the thing to execute. ; primary_key_columns (required): A list of primary key column(s) used to join the queries together for comparison. By abstracting complex logic, standardizing repetitive dbt - pass return value of dbt macro to python. This procedure returns a number value, we need to get that value in dbt macro and pass to a model calling To fix it, I stopped using dbt_utils’ get_column_values macro and instead added a new macro to our project which knew how to return both the logic to generate the age buckets This macro allows you to run SQL queries directly within your Jinja context, enabling you to use the results dynamically in your models, macros, or other dbt components. None; Usage. . Macros aren’t the same as UDFs - they are rendered once and return a It will return the false part always even when the contents of somefield are F. The recommended way to avoid deploying invalid datasets is to run a blue-green @rlh1994 Glad that adding --no-partial-parse forced the behavior you are aiming for! 🎉. Something like this would work (on Snowflake): {% macro parse_last_name(column_name) %} split_part({{ Return Values: A dbt macro can return any kind of value, including strings, numbers, and SQL code. Build long lists with a few exclusions with dbt_utils. This Hi all, I have below macro which calls a Snowflake Stored procedure. providers. artifacts. sql {% macro abc(x) %} some code {% end macro %} – my_process. Once the statement block has executed, the result set is accessible via the load_result function. Something like this: –my_macro. option description default scope* include_missing_columns: Use the definition of the model to In this article, we've explored three advanced DBT techniques: macros, testing, and documentation. If you can’t youse dbt_utils >= 1. Here's a couple other debugging steps I did on this one: Examining the manifest for the config value of full_refresh that was used in the most recent run; Logging in the macro depending on execute; Examining the manifest I am having a dbt macro which is defined as follows : As you can see, I am returning the result from the dbt macro. yml, the macro using the run_query to query value from the Snowflake table and then return the _cdc_start_timestamps Hi there! I’m trying to run a macro using dynamic argument and then use this argument in a post_hook to that same process, and insert the argument into a different table. results import RunStatus, TimingInfo I ended up contacting dbt about a separate but related issue yesterday and then worked through the macro with them as well. This macro's only function is to dispatch—that is, look for and return—using the primary macro name (concat) as its search term. return passes data back to the caller in the jinja context, but you're actually trying to write SQL code here; Data doesn't flow through the jinja context. 0. name (string): The name for the result set returned by this statement; fetch_result (bool): If True, load the results of the statement into the Jinja context; auto_begin (bool): If True, open a transaction if one does not exist. If accessing the models in your project via the graph variable, be sure to use the execute flag to ensure that this code only executes at run-time and I am trying to convert a SQL function that has 3 input parameters to a dbt macro and looking for the best way to implement the same. I posted the answer separately. There is a workaround, but it would be so much simpler without a workaround. Modified 2 years, 8 months ago. How to call function in macro in DBT. ` {% macro return_hello() %} {% set result = 'Hello, dbt!' %} {{ return(r Utility functions for dbt projects. -Setting the test case to a variable explicitly declared as string. sql; Maybe you can change the macro to return a CASE WHEN statement that will be evaluated at query time or even replace the macro with a UDF – Damião Martins. The model entries in the graph dictionary will be incomplete or incorrect during parsing. I want to have the functionality inside dbt and not calling a function within snowflake What I’ve already tried {% macro remove_special_characters(string) %} REPLACE( {{ string }}, '\\\\p{Diacritic}', '' ) {% endmacro このmacroを経由して実行させることで、macroでコンパイルされた {{ hoge }} や {{ return }}を標準出力に出しつつ、macro results: というプレフィックスが付いている場合は、マクロの結果とみなすことで次のinvocationのparseをやりやすくしています。 Hi !! I try tro get the number of affected rows on a post_hook query and getting this error: dbt. Statements provide a way to run this query and return the results to your Jinja context. dbt Macros: Writing From dbt Core v1. For example, you might want a macro to loop over a list of columns for I have below macro which calls a Snowflake Stored procedure. By using macros, you centralize and reuse complex SQL code, ensuring consistency across your dbt models. Our return value is DECIMAL(8), we do not need the datatype but only the value - . Do not deploy code to production that uses the debug macro. Help. by using either a statement block or a helper macro like the run_query macro. It returns a table object with the query result. payments a_relation and b_relation: The relations you want to compare. So, basically we need to perform below steps - Call Stored proc in dbt macro Fetch return value of Stored proc in dbt macro Run this macro in dbt model. Viewed 6k times Return a dict object from Jinja2 macros. 0` you can return a single value from your results acessing the first column and row of the results, as you would do in a dataframe Args:. Create a new model that runs the macro once for every test case, then use dbt tests to ensure the returned value matches the expected value. dbt invoke post-hook macro with list argument. In dbt, the generate_schema_name macro is dynamically used to set the schema name where models are built, using information such as the environment and custom settings from the project configuration. The problem I’m having We would like to call our tests in the exact same way we can call macros today. Resources. Under the hood, the star macro is actually using another dbt utils macro (get_filtered_columns_in_relation) to import copy import os import threading import traceback from dataclasses import dataclass, field from datetime import datetime from typing import Dict, Sequence import agate import click import dbt_common. {% set results = run_query('select order from orders_table') %} debug() Call this macro within a macro to open up a python I want to combine jinja and macros so I can use a list in more than one model. get_url_host('url') }} as page_url_host {% endmacro %} And when used in a model, it would look like this: select This macro allows you to run SQL queries and store their results. get_query_results_as_dict iterate over in a case/statment. warehouse for each condition, unless exceptions are configured using one or more of the following variables: variable Snowflake-specific utility macros for dbt projects. If false, do not open a transaction. sql21行目の select The problem I’m having Hi, I am having a question regarding the 'this ’ variable value actually when i passed the this variable to macro using post hook it is given different schema name which is mentioned in profiles. Unlike dbt models, which create tables or views, macros return SQL expressions that are dynamically inserted wherever they are called. Warn if type fields don’t follow supported formats. Running a test macro in a post-hook is not a supported configuration - I think it will run the test sql, but it won’t do anything with the results if the test fails. This procedure returns a number value, we need to get that value in dbt macro and pass to a model calling this macro. I've encountered an issue with the in-built run_query() macro in dbt-core 1. Accessing models . This dictionary will be mapped to the keyword arguments defined in the selected macro. It includes logic to extract user-provided arguments, including version, and call the builtins. 5 and higher, use the following macro to override the ref method available in the model compilation context to return a Relation with the database name overriden to dev. Macros allow us to create reusable code snippets that simplify our code and make it easier to maintain. macros. 1. field_name naming format. Ideally, it should convert the values from value column multiply them with factor and store the result in wt_in_g. If your macro depends on values available only at execution time, such as using model configurations or ref() calls to other resources as inputs, you will need to wrap Learn how dbt macros can streamline data transformations, optimize queries, and automate workflows for more efficient analytics engineering. Best Practices for Jinja Macros in DBT Core. Therefore, we will be covering; dbt Seeds: Using CSV files to load static data (e. components import CompiledResource from dbt. DBT (Data Build Tool) is widely used for transforming data in analytics engineering. Here, we’ll walk through creating a dbt macro where you can If you are able to use dbt_utils >= 1. 3954. v1. They help enforce consistency across DBT projects. To invoke this macro as an operation, execute dbt run-operation grant_select --args '{role: Macros aren’t the same as UDFs - they are rendered once and return a static string of SQL. dbt Community Forum macro return value. model macro will return the model object when running the model and when running the tests as well. ; columns (optional): The columns present in the two queries you want to compare. 0 you can use the get_single_value macro instead of run_query GitHub - dbt-labs/dbt-utils: Utility functions for dbt projects. Pre- and post-hooks can also call macros that return SQL statements. yml and if i used the {{this}} in the from clause it is giving the correct schema as Note: there is an existing thread here, but it has no resolution other than using dbt build (and it is now closed). So far, we have tried - using run_query - my expected return type is the length of against a specific model in the target table, which is coming correctly . The return function can be used in macros to return data to the caller. This allows for consistent and customizable schema naming across different deployment environments or organizational requirements. You can use the ephemeral materialization and dbt won't The problem I’m having. dbt 对于macro 的处理直接使用的是文字符串模版模式，同时对于macro 的解析添加了自己的实现，灵活性上也很方便，同时对于项目的macro 会在之前实际命令之前先生成解析好（包含了依赖处理）,以上只是简单说明关于自行，后边会说明下dbt 对于jinja2的包装，同时 The top concat macro follows a special, rigid formula: It is named with the macro's "primary name," concat, which is how the macro will be called elsewhere. Although when change the argument explicitly to {{test_my_field(‘F’)}} it will return true. When you write column_name. list %} {% do return({'info': header_columns_info, 'names': header please open a new post describing what you’re trying to achieve, including the code you’re trying to run Not able to access dictionary value in Macro DBT. Stored Proc DBT の Macro 作ったので、実用的な例をメモしておく 目次 【1】macro の引数 1）デフォルト引数 【2】例外 1）例外をスローする 【3】サンプル 例1：PostgreSQL/Snowflake での UTC時間取得 例2：クリーン処理 【1】macro の引数 * 以下が参考になる https://zenn. Like the titles, I’m using the macro to create the variables in dbt_project. deptid - Jinja macros are evaluated and resolved as a static string during the compilation stage. exceptions from dbt. Args. for exmaple: I'm calling my dbt macro date_diff_precise, with value returned by another macro run_time being the second variable begin_date {{ date_diff_precise(time_period = "'day'", Example: Customized Schema Name. Using Jinja turns your dbt project into a programming environment for SQL, giving you the ability to do things that aren't normally possible in SQL. Otherwise, dbt will return the query as a string without executing it. To execute an arbitrary SQL command via a dbt macro directly from the CLI, you can use the dbt run-operation command. 3191. La première est d’utiliser la macro return. Macros in DBT provide flexibility and programmability. You can use the return function in the following ways within your macros: as an expression or as a statement. Macros aren’t the same as UDFs - they are rendered once and return a static string of SQL. CLI でdbt run-operation create_development_viewsコマンドを実行すると Sandbox 環境にデータセットが生成されます。 ダミーデータセットというからには当然ダミー値で置き換えたいケースもあると思いますが、その場合はカラム名を取得する dbt macros をもう一本用意してcreate_development_tables. This macro’s query will not execute for every variant of the e. Available Options. 8. dispatch: - macro_namespace: dbt search_order: ['integration_tests', 'your_dbt_project', 'dbt'] # Remplacez bien your_dbt_project par le nom de votre projet. By using these techniques, we can create more efficient, reliable, and maintainable data transformations. It accepts one argument, named fields. context. , reference tables, business logic rules). Testing allows us to ensure that our Is this a new bug in dbt-core? I believe this is a new bug in dbt-core I have searched the existing issues, and I could not find an existing issue for this bug Current Behavior When running a macro that executes ref() with a microbatch m Out-of-the-box, the macro will return the target. You could leave your macro as-is, and then call it in your model file with: {{ generate_checksum(ref('some_model')) }} {# or use source() or this in place of ref() above #} You could pass a string into your macro, and make the call to ref inside your macro. sql {{ config (post_hook= “insert into my_table (select {{x}} from {{ this }}”) ) }} This query filters the sales table to return only the records from the last 7 days. 4. run_query or db_utils. Declare var in other macro to be used in a different macro for DBT. While Jinja macros are powerful, following best practices ensures that your macros remain maintainable and efficient: Keep it simple: Avoid creating overly complex macros that are difficult to debug or understand I am trying to model the following situation: given some query, return multi-column result-set (e. If you want to create a UDF in dbt, check out Using dbt to manage user defined You need your macro to return SQL to do this parsing for you. Namespace Issues: If you encounter errors like macro 'dbt_macro__generate_surrogate_key' takes not more than 1 argument(s), it may be due to namespace changes. Tests $ dbt run-operation {macro} --args '{args}' {macro} Specify the macro to invoke. This notion does get complicated with dbt macros like run_query which will go to the database and get information. Macro Deprecation: Macros can be deprecated or replaced in newer versions of dbt or dbt-utils. You can use the current_timestamp() macro within your dbt SQL files like this: 01 dbtにおけるmacro とは 02 環境設定 03 基本的なmacro 04 Jinjaの制御文 05 dbtの動作モード 06 hooks 07 実用例: dump_fail_test とその応用(meta) 08 macroのmacro override 09 カスタムテスト 10 macroを書く上での便利なものを紹介 11 persist_docs 改造 12 prod環境からstaging環境にデータをコピーしたい ref, source 改造 Jinja and macros Related reference docs . How can I use a global variable in a function? 1920. 5. The {{ debug() }} macro will open an iPython debugger in the context of a compiled dbt macro. Where Do Macros Fit in DBT? Macros can be used inside DBT models, tests, hooks, and even materializations. The dbt_unit_testing. When a There are two problems with your macro: You do not want to use the return keyword. How do I get the current time in Python? 1865. In dbt, macros are written using Jinja, a templating language that allows you to define reusable pieces of logic. The result may correspond to the start of the statement or the start of the transaction. Call it as below as below: {{fn_get_bar(1)}} Example in query: select id as payment_id, {{ fn_get_bar(1) }} as payment_description, from raw_dataset. Create Models from DBT Macros. dbt Tests: Ensuring data quality with various built-in and custom test types. When dbt searches for implementations of a macro in the dbt_utils namespace, it will search The exact contract for these model and source nodes is not currently documented, but that will change in the future. MACRO_NAME(). dev/mashiike In this post, we’ll focus on dbt Tests and Macros to build testable and scalable transformations while also covering dbt Seeds to load static data. They make SQL more dynamic by allowing conditions, loops, and parameters. Flexibility: This capability makes macros highly flexible, allowing you -- macros/get_from_db. In dbt, you can combine SQL with Jinja, a templating language. Macros in dbt are reusable SQL code snippets that simplify and automate complex transformations, similar to functions in programming. joellabes May 9, 2023, 4:24am 8. Contribute to dbt-labs/dbt-utils development by creating an account on GitHub. For cross-database macros, update references from dbt_utils. This argument should be a YAML string, 说明. It also wants to pass through, to its eventual Can dbt macros accept other macros as arguments? 1. MACRO_NAME() to dbt. Like callable functions, macros reduce redundancy (following the DRY principle) Is this a new bug in dbt-core? I believe this is a new bug in dbt-core; I have searched the existing issues, and I could not find an existing issue for this bug; Current Behavior. This means that the list of payment_methods can be set based on the data in your database rather than a hardcoded value. When executing the following macro: I agree with Josh - this should be done in standard SQL. Using a string as an argument in a Jinja macro in dbt. Here’s a practical solution using a custom dbt macro that will save you time and make your models more maintainable. When enabled, dbt will: Warn if documented argument names don’t match the macro definition. yml file but not to the mentioned in the dbt_project. If you want to create a UDF in dbt, check out Using dbt to manage user defined functions. But the info you fetch can only used to generate the SQL string. Ask Question Asked 2 years, 8 months ago. Solution Edit: The solution is very simple just scroll to the bottom to see it. A possible approach to this problem would be to use a macro to return the standard columns and not the entire select statement. In dbt_project. Macros in dbt are reusable code blocks, similar to functions in programming languages. Relative imports for the billionth time. 10, you can opt into validating the arguments you define in macro documentation using the validate_macro_args behavior change flag. , url as page_url, {{ dbt_utils. We could use a seed to get call statement inside macros returns None Im trying to set variable using sql query (also using other set variables from before), it works fine outside of macros, but as soon as i put it in macros, the call statement ret Running a test in a post-hook will still mean that the model has been built and cause any issues you were concerned about. For an introduction to Jinja in dbt check out the documentation and the free self-serve course on Jinja, Macros, Packages. If you're looking to re-use a CTE, it should probably be its own model (a macro would be another choice). {% macro run_query_as_code(my_query) %} {% set results = run_query('select 123 as column_name') %} {% for r in results. They help developers avoid repeating the same code in multiple models, promoting efficiency and maintainability. Learn more about macro argument validation. 3. g. Example I have this: {% set payment_methods = ["bank_transfer", "credit_card", "gift_card"] %} {% for payment_method in payment_methods %} {% endfor %} But I want to place the list of payment_methods in another file so I can use the list in different models. In this example, we simply union a bunch of SQL. Best Practices to Create Macros. I was trying to This macro returns the current date and time for the system. DBT set variable using macros. get_filtered_columns_in_relation, or pass None and the macro will Editor's note—this post assumes intermediate knowledge of Jinja and macros development in dbt. For the first version, let's check what we get back from the database, by Is there a way to evaluate a string to actual Jinja “code”? Basically I want to be able to build a macro that allows passing in a string that is then evaluated in the current context. knxoqu mqie hfkhbuq zpuwshnc aocnww woca xnwrx try sahop snp iddvjl zbzvlz srba oljpf vta