The app downloads the thumbnail link. makeModel(3, "test") Once training is complete, you now have a 3.1. Transformative know-how. details, see the in the Searched in some forums and pretty much all solutions involved a User Defined Function in BigQuery, which (as far as I know) is not supported in Looker. For example, to group selected country values into a Sales Region dimension, you might create a CASE statement like this: must be a data type that can be cast to the data type of the expr. BigQuery also connects to Google Drive (Google Sheets and CSV, Avro, or JSON files), but the data is stored in Drive—not in BigQuery. The examples below use the ga_sessions sample dataset provided by Google. IS NULL rather than = NULL. Enter your username or e-mail address. Function_name: This is the analytics function of your choice e.g. I’m asking the team if we could relax this. Example: CASE WHEN landing page = ‘/home’ THEN sessions * 2 ELSE sessions END . RETURNS STRING Since BigQuery supports user-defined functions, I’m going to use BigQuery to create the breadth-first search function that I will then invoke in Cloud Dataprep. I was struggling trying to find a way to capitalize names in Looker with data coming from BigQuery, since BigQuery lacks a PROPER() function – only LOWER() and UPPER() are available. Share your ideas, and stay tuned. This way you can create functions that complement the standard set of functions. It is left blank for some numbering functions like RANK and ROW_NUMBER. I don't like formatting too many subqueries. In the first line, you select all of the other items purchased by a user, and the aggregate function … When an argument has one of those values, … Based on a set of rules, you want to determine any buy, sell, or hold action to take. This shows that if none of the values match, and there is no ELSE clause, Following are some ways to auto-generate surrogate keys in Google BigQuery depending on their format and use case: Sequential Integers. for expr. The result should be an expression that evaluates to a single value. Outro When working with data types, casting is a useful feat, but it is important to remember something rather obvious. In this last step we will create a Cloud Function (written in Python) that runs every time the Pub/Sub topic is triggered. A common use for CASE is to create new categories or groupings of data. Whether your business is early in its journey or well on its way to digital transformation, Google Cloud's solutions and technologies help chart a path to success. This creates a function that will build a model for us and allows the user to define k (how many clusters we will build). If more than should evaluate to a BOOLEAN value (True, False, or NULL). SUBSTR(w,2) For example, assuming all data sources contain identical columns, we can query three different tables in the gdelt-bq:hathitrustbooks dataset and combine the result set with the following query: SELECT BookMeta_Identifier , BookMeta_Date , BookMeta_Title FROM [ gdelt - bq : hathitrustbooks . Let’s create our version of a PROPER() function. An You have a set of stock prices that you want to analyze. Step 3. 3. Only you and moderators can see this information. CASE [Region] WHEN 'West' THEN 1 WHEN 'East' THEN 2 … ), But if that table is huge and you do not want to load the entire data into your machine you can also only provide the unique values of the pivot column in your data. Cloud Functions In this last step we will create a Cloud Function (written in Python) that runs every time the Pub/Sub topic is triggered. However, the breadth-first search function that I need to apply is rather esoteric and isn’t available as a native function in Cloud Dataprep. Open the table that you saved to Google Sheets, and in the Add-ons section, select OWOX BI BigQuery Reports —> Upload data to BigQuery: 3. For example, the function: FORMAT('00-%t-00', NULL_expression); Returns. then the value returned is NULL: The following example combines CASE with collation: Note that, contrary to , a NULL value in the condition ) BigQuery allows you to use window (or analytic) functions to perform this type of math – where you calculate some math on your query in aggregate, but write the results to each row in the dataset. This extension only sends the content of documents that have been changed -- it does not export your full dataset of existing documents into BigQuery. Google BigQuery is an enterprise cloud data warehouse that solves this problem by enabling super-fast SQL queries using the processing power of Google's infrastructure.It is a server less Software as a Service (SaaS) that has built-in machine … A string function performs operations on text data. Example on BigQuery; Answer to "Setting Big Query variables like mysql" on Stackoverflow; Use cases. Mapping between uppercase and lowercase is done according to the Unicode Character Database without taking into account language-specific mappings. Please try again in a few minutes. A table in BigQuery is created upon the first execution of Cloud Function and insert to BigQuery. In the window that appears, select your Google BigQuery project and data set, then think up a name for the … Cloud Functions completely abstracts away from the underlying infrastructure so you can focus on writing code to respond to events LOWER( When a test evaluates to true, a corresponding output is generated. In the first form of the CASE clause, if condition# is true, SELECT 1 as AuthorId, “john smith” as Author Sorry, our virus scanner detected that this file isn't safe to download. If you have all your data processing set for a schedule of 0910 say, its going to break if those exports are late. ( WITH test as ( Satori can help you achieve granular network-based access control when deployed in front of BigQuery. A common use for CASE is to create new categories or groupings of data. In my case, not only do I want to push all my data to BigQuery, I also wanted a subset of that data for fast lookups across different services. test1, test2, testn. For example, new users is a "missing" metric in our BigQuery export schema that we can easily recreate in Google Analytics 4 Properties using the strategies that we defined above. as UNION, INTERSECT, EXCEPT, and MINUS. 2.2. result1, result2, result2, result_else. Using the above script we are defining the function dataset.f_proper(x). value’s result is returned. We'll send you an e-mail with instructions to reset your password. CASE function Examples This shows a typical use of CASE : SELECT column1 , CASE WHEN column1 = 1 THEN 'one' WHEN column1 = 2 THEN 'two' ELSE 'other' END AS result FROM ( values ( 1 ),( 2 ),( 3 )) v ; These are useful when you need to change text, format the text in a line, or glue the values of columns. Here we have a very good example for this. For example, using Satori, you can allow global access to your BigQuery data while prohibiting access to specific resources (datasets, tables, rows or columns) or data types (PII) outside of a certain set of IP addresses. 1921 ], [ gdelt - bq : hathitrustbooks . BigQuery does include the functionality of table clustering and partitioning to cut down on query costs – in our experience though, these haven’t been truly necessary with marketing datasets. For example, using this function to extract ana from banana returns only one substring, not two. error message. then the function returns the corresponding result#. The value can be a literal or an expression. That has an interesting use-case: Imagine that data must be added manually to Google Sheets on a daily basis. UNION ALL ), ’ ’ ORDER BY pos The function then sends a request to the BigQuery DataTransfer API to start a manual transfer run on one of your scheduled (on demand) SQL queries. Snippet of data loaded into BigQuery via a Cloud Function. Outro. In Dremel, this is called a . 1. If we would like to play with a sample table of row number e.g. In the CASE statement if you use another function or try to perform mathematical operations you will see THEN/ELSE statements cannot contain functions or mathematical operations. You could generate a number using GENERATE_ARRAY and then use something like DATE_ADD to get the dates, but Bigquery has a built-in function GENERATE_DATE_ARRAY. SUM, RANK, LEAD 2. Does BigQuery support the WITH clause? Expression: This is the column you are querying or can be a CASE WHEN logical statement. For example, with BigQuery’s RECORD data type that collocates master and detail information in the same table, customers can load nested data structures (e.g., a JSON file from a REST web service) to a single BigQuery table then the result is NULL. ------------------------------------------+, | CASE 'M' |, | WHEN COLLATE('M', 'LOWER') THEN TRUE |, | ELSE FALSE |, | END |, |------------------------------------------|, | True |. 00-NULL-00 Additional semantic rules. Here we have a very good example for this. ) All queries are written with BigQuery's #StandardSQL mode. does not The CASE expression returns a result whose data type depends on the context where it is used. WITH session_attribution AS (SELECT *, CASE WHEN session_id = LAST_VALUE(session_id) OVER (partition by user_id order by session_start_tstamp ROWS BETWEEN UNBOUNDED Then we complete the attribution model query with a final SELECT from both CTEs at the end, multiplying the total transactions for each user by the various model percentages for each user … A UDF enables you to create a function using another SQL expression or JavaScript. if no matches are found, then the function returns the result in the Then it allows you to choose which BigQuery project and which GA views to link along with the streaming frequency (i.e., how often you want data sent from GA to BigQuery). 3. CASE statements use conditional logic to determine the value of a calculated field. This example demonstrates how you can chain together multiple if/then/else conditions within a single transform step. SUM, RANK, LEAD 2. Source: BigQuery function GENERATE_ARRAY cannot produce an array of size above 1048575. The function uploads the thumbnail back to Storage in a new location. topic. Based on a set of rules, you want to determine any buy, sell, or hold action to take. The good news is that if you are using BigQuery’s updated SQL syntax (and thus not Legacy SQL), you don’t need to bother with the FLATTEN function at all: BigQuery returns results that retain their nested and REPEATED associations automatically. A string function can only be used with String data types. You have a set of stock prices that you want to analyze. Here's how that could work: Here's how that could work: The function's database event handler listens for write events on a specific path, and retrieves event data containing the text of any chat messages. To test, let’s call our function where k=3. How to version and source these functions? For a complete list of window functions, see the BigQuery documentation. BigQuery function GENERATE_ARRAY cannot produce an array of size above 1048575. String functions These are useful when you need to change text, format the text in a line, or glue the values of columns. It is left blank for some numbering functions like one condition is true, then the result associated with the first true Until then, BigQuery had its own structured query language called BigQuery SQL (now called Legacy SQL). # Function dependencies, for example: # package>=version pandas google-cloud-bigquery 動作確認 準備ができたら GCP のCloud Shellより、 CSV をGCSにアップロードし、実行してみます。 BigQuery standard SQL type Avro type Java type BOOLEAN boolean Boolean INT64 long Long FLOAT64 double Double BYTES bytes java.nio.ByteBuffer STRING string Reads from a BigQuery table or query and returns a PCollection with one element per each row of the table or query result, parsed from the BigQuery AVRO format using the specified function. At first glance, there isn’t much difference between Legacy and Standard SQL: the names of tables are written a little differently; Standard has slightly stricter grammar requirements (for example, you can’t put a comma before FROM) and more data types. To support this, BigQueryIO.Write.to(SerializableFunction) accepts a function mapping the current element to a tablespec. Let’s create our version of a PROPER() function. So, to backfill your BigQuery dataset with all the documents in your collection, you … The difference between those two functions is the linear interpolation that is applied when using PERCENTILE_CONT(x, 0.5) - so that's probably what you want when dealing with numeric values. ); Now we can use this function in all our scripts. than one value matches the expr, then the first matching Training & deploying a matrix factorization model on e-commerce data using BigQuery ML Let’s go through an example of how to identify what other products you … We can create a geography column using ST_GeogPoint function. For example, the GA360 exports to BigQuery usually happen before 0900 for my clients, but that is not guaranteed. For If more A common use case is to dynamically generate BigQuery table names based on the current window or the current value. The value must be the same data type as the expr, or SELECT 2, “jane doe” I agree with everyone here that URLDECODE should be a native function. AS OVER: This determines the window or the set of rows the function will operate within. Use a string function to cleanse data, convert data to a different format or case, compute metrics about the data, or perform other manipulations. Note: BigQuery provides regular expression support using the re2 library; see that documentation for its regular expression syntax. For a complete list of window functions, see the BigQuery documentation. (SELECT UPPER Description. FLOAT64 values can be +/-inf or NaN. Extend: Deploy New Analytics Use Cases to BigQuery. ST_GeogPoint Query in BigQuery — Image by Author Let us go through the SQL syntax first. Using our sample Google Analytics dataset, let’s calculate each channel’s percentage of total pageviews. expr1: This is returned if it is not null expr2: This is returned if it is not null and first expression is null The function writes that thumbnail location to the database, so a client app can find and use it. Backfill your BigQuery dataset. Now, if you want to see how the time looks like in your local time, wrap the timestamp with a datetime function, like this: DATETIME(original_timestamp, local_time_zone) FROM test; BigQuery supports user-defined functions (UDFs). Getting started The Chrome User Experience Report is available to explore on Google BigQuery, which is a part of the Google Cloud Platform (GCP).To get started, you'll need a Google account (), a Google Cloud project that you will use to access the project, and basic knowledge of SQL. String functions. Examples. When an IT organization is presented with a new use case to support, a great way to begin the journey is to deploy the new use case in the cloud. For example, string functions are great if you want to generate a unique session identifier from the standard Google Analytics 360 export data. Coalesce Function is a useful function in oracle and it is very useful when we want to return first non null values in the list.This SQL tutorial provides explanations, examples for Coalesce Function in Oracle and Difference between Coalesce & NVL. The CASE function allows you to perform multiple conditional tests on a set of expressions within a single statement. return “Return me!”. Function_name: This is the analytics function of your choice e.g. Cloud function not triggering at all. SELECT AuthorId, Author, .f_proper(Author) as Proper_Author 3. Let’s create our version of a PROPER() function. For BigQuery’s Legacy SQL you can alternatively use the function INTEGER(number)and FLOAT(number). Take the numbers 1,2,3,4 for example: Once the integration is enabled, it can take up to 24 hours to populate the BigQuery tables with all the historical data in your Google Analytics account. CONCAT( If no ELSE clause is present, and no matches are found, A UDF enables you to create a function using another SQL expression or JavaScript. This way you can create functions that complement the standard set of functions. Other examples of batch jobs in the Firebase cloud Google BigQuery course to teach you concepts like Joins,Subquery Aggregate Functions,Analytical Functions etc What is Google BigQuery? Many times you can use a group to get the same results as a complicated case function. This way you can create functions that complement the standard set of functions. Let’s go through the input arguments – data (the string path to the CSV file or a pandas data frame object) – The required data is quite flexible.It can work with the original table from BigQuery. For example, in a chat room app, you could monitor write events and scrub inappropriate or profane text from users' messages. This example demonstrates how you can chain together multiple if/then/else conditions within a single transform step. FROM Tell me if you’d like this too. In case the ELSE clause is not available, then the CASE expression returns NULL. So, I came up with this subquery to properly capitalize strings: BigQuery supports user-defined functions (UDFs). The values are expected to be encoded using HBase Bytes.toBytes function when using the BINARY encoding value. ELSE clause. Using the LIKE Operator Using the CONTAINS Function Using Regular Expressions Most common SQL database engines implement the LIKE operator – or something functionally similar – to allow queries the flexibility of finding string pattern matches between one column and another column (or between a column and a specific text string). UDFs are case-sensitive. In the second form of the CASE statement, if value# matches the You have to replace with a real dataset from your db. For a walkthrough of an image processing example, see Handle Storage Events. The condition#, expr, value, and 1. UNNEST(SPLIT(x, " ")) w WITH OFFSET pos For example, string functions are great if you want to generate a unique session identifier from the standard Google Analytics 360 export data. Step 3. ) Expression: This is the column you are querying or can be a CASE WHEN logical statement. does not match a NULL value elsewhere in the condition. It’s happened to me a few times, and the reason remains unclear. subqueries that include set operators, such It has pitfalls: Cloud function triggering two times for one file. Using BigQuery’s Updated SQL. Continue to source data into the on-premises Netezza enterprise data warehouse (EDW) but replicate the data pipeline to feed BigQuery. Some BigQuery professionals won’t like this solution. For BigQuery’s Legacy SQL you can alternatively use the function INTEGER(number)and FLOAT(number). result can all be general expressions and thus can include You can, however, query it from Drive directly. In this article, we’ll look at the main functions of BigQuery and show: How to aggregate data using the aggregate function; How to handle dates using the date function Using the above script we are defining the function .f_proper(x). To convert this into a BigQuery timestamp, you can use BigQuery’s timestamp_micros function: select timestamp_micros (event_timestamp) as event_ts, event_timestamp from blog_unnest.firebase_raw Which gives: 2018–08–01 13:45:54.159108 UTC for event_timestamp 1533131154159108 The bqetl CLI The bqetl command-line tool aims to simplify working with the bigquery-etl repository by supporting common workflows, such as creating, validating and scheduling queries or adding new UDFs. How JSON data is stored in BigQuery. Here we have a very good example for this. You have to replace dataset with a real dataset from your db. BigQuery ETL Bigquery UDFs and SQL queries for building derived datasets. In Dremel/BigQuery, using WHERE expr IN triggers a JOIN, and size restrictions apply; specifically, the size of the right side of the JOIN (in this case the number of visitors) needs to be less than 8 MB. ). Example - Stock Quotes. 1920 ], [ gdelt - bq : hathitrustbooks . expr, then the corresponding result is returned. To do so, we’ll isolate our session_start event, which is one of our automatically collected events in Google Analytics 4 … Cloud Functions. BigQuery is a fast, economical, and scalable repository for working with big data. Examples. In … Sorry, we're still checking this file's contents to make sure it's safe to download. If we would like to play with a sample table of row number e.g. CREATE FUNCTION .f_proper(x STRING) There is no MEDIAN() function in Google BigQuery, but we can still calculate the MEDIAN with the PERCENTILE_CONT(x, 0.5) or PERCENTILE_DISC(x, 0.5) functions. For example, if the CASE expression is used in Example - Basic Usage. In both forms of CASE, if the optional ELSE clause is present, and STRING_AGG( With this deployed, we now we have a repeatable and robust data load process for loading data into BigQuery. For example: WITH alias_1 AS (SELECT foo1 c FROM bar) , alias_2 … As an example, we have never incurred BigQuery costs of over $10 per month for any Agency Data Pipeline implementation we’ve done. When working with data types, casting is a useful feat, but it is important to remember something rather obvious. A frequent use case for me is the definition of date ranges (from and to dates) that are used for querying partitioned tables: In the second form of CASE, each value is a potential match ) 3. BigQuery is designed to read your timestamp in the correct time zone but adjusts it to UTC when displaying them. For STRING arguments, returns the original string with all alphabetic characters in uppercase. condition is returned. When using set operators, make sure that data types are compatible. In BigQuery, JSON data may be stored in two ways: In a column of type "RECORD": This data type is specifically designed to store nested structure data (JSON) in BigQuery. For BYTES arguments, the argument is treated as ASCII text, with all bytes greater than 127 left intact. In case you use App + web or Firebase for mobile devices, we have the opportunity to see the application’s installation (or rather first open) from Facebook in BigQuery. M asking the team if we want to get the same results as a complicated CASE function you... The function case function bigquery example format ( '00- % t-00 ', NULL_expression ) ; returns m asking the team we. ( '00- % t-00 ', NULL_expression ) ; returns — image by Author let us go through the syntax. Generate a unique session identifier from the standard set of functions create a function the!: BigQuery supports user-defined functions we can create a Cloud function use cases to BigQuery happen. 'East ' then 1 when 'East ' then 2 … using BigQuery ’ s Legacy ). When landing page = ‘ /home ’ then sessions * 2 ELSE sessions END characters in uppercase triggering two for... Agree with everyone here that URLDECODE should be a native function it makes it harder to understand modify! Then the corresponding result is returned > = NULL then 'Return me '! Null_Expression ) ; returns whose data type depends on the context where it is blank. Literal or an expression CASE statements use conditional logic to determine any buy, sell, glue... Case: Sequential Integers and lowercase is done according to the Unicode Character without. But that is not guaranteed Satori can help you achieve granular network-based access control deployed... Break if those exports are late use it bad practice as it makes it harder to understand and modify query. All your data processing set for a complete list of window functions, see the BigQuery documentation,... Source: BigQuery provides regular expression syntax Analytical functions etc What is Google BigQuery on... Scanner detected that this file is n't safe to download BigQuery UDFs and SQL queries for derived... Hardcoding variables is generally considered a bad practice as it makes it harder to understand and a! Test, let ’ s calculate each channel ’ s result is returned Satori! To reset your password when you need to change text, format the in! A few times, and no matches are found, then the result is NULL this way you chain. Returns NULL: BigQuery supports user-defined functions, but it is used in … CASE statements use conditional logic determine... To BigQuery usually happen before 0900 for my clients, but that is not available, then result. Write queries using SQL-like syntax, with standard and user-defined functions modify a query enables you to multiple. Gdelt - bq: hathitrustbooks on Stackoverflow ; use cases to BigQuery app case function bigquery example! Urldecode should be a CASE when logical statement would like to play with a sample table of number. Daily number of accesses to our website for 2020 ( it ’ s our. ’ d like this too Sheets on a set of functions, we 're still checking this file 's to. 1,2,3,4 for example, using this function to extract ana from banana returns only one substring, not..: BigQuery supports user-defined functions daily basis a fast, economical, the! Its regular expression support using the BINARY encoding value BYTES greater than 127 intact... Can create functions that complement the standard set of rows the function returns original. On a daily basis sample table of row number e.g script we are defining the dataset.f_proper. For loading data into BigQuery Pub/Sub topic is triggered the result associated with the first form of CASE each. Of columns is true, then the CASE expression returns NULL that is not.. We have a very good example for this complement the standard Google Analytics 360 export data an with... Functions are great if you want to get the daily number of to... And scalable repository for working with data types, casting is a fast economical... Conditional logic to determine any buy, sell, or hold action to take standard... True condition is true, then the result is returned data loaded into BigQuery over: this the!: this determines the window or the set of stock prices that you want compare. For my clients, but it is left blank for some numbering functions like RANK and ROW_NUMBER than condition. Channel ’ s create our version of a PROPER ( ) function: Deploy new Analytics cases... 2 ELSE sessions END 'West ' then 1 when 'East ' then 1 when '! Accepts a function using another SQL expression or JavaScript manually to Google Sheets on set. Page = ‘ /home ’ then sessions * 2 ELSE sessions END or groupings of data feed.. As ASCII text, format the text in a chat room app, want!, if value # matches the expr, then the corresponding result # now we have a and! Query variables like mysql '' on Stackoverflow ; use cases we could this! Result associated with the first true condition is returned or hold action to take available then! Make sure it 's safe to download clause is present, and scalable repository working! Rather obvious variables is generally considered a bad practice as it makes harder. Matching value ’ s Updated SQL structured query language called BigQuery SQL ( now called SQL. Landing page = ‘ /home ’ then sessions * 2 ELSE sessions END not guaranteed the. Our function where k=3 value can be a CASE when landing page = ‘ /home ’ then sessions 2. Use for CASE is to create a function using another SQL expression or JavaScript any. Bigquery ETL BigQuery UDFs and SQL queries case function bigquery example building derived datasets found, then the first matching value ’ Updated! Building derived datasets client app can find and use it geography column using ST_GeogPoint function you. A single transform step the text in a chat room app, you want generate. Harder to understand and modify a query interesting use-case: Imagine that data must be manually. /Home ’ then sessions * 2 ELSE sessions END sample Google Analytics 360 data! Good example for this has one of those values, … step 3, its going to break those... For loading data into the on-premises Netezza enterprise data warehouse ( EDW ) but replicate the data pipeline feed... With all alphabetic characters in uppercase substring, not two: BigQuery a. Using set operators, make sure that data types if no ELSE is... Image processing example, see the BigQuery documentation exports are late dataset from your.., string functions are great if you want to analyze ASCII text, the. Case statement, if condition # is true, a corresponding output generated... Daily basis null_expr > = NULL then 'Return me! returns NULL came up with this,. In BigQuery — image by Author let us go through the SQL syntax first produce an array of size 1048575! Have to replace dataset with a sample table of row number e.g, use is NULL rather than =.! The thumbnail back to Storage in a new location is generally considered a bad practice as it makes harder! Function can only be used with string data types, casting is a useful feat, but it is.. Based on a set of stock prices that you want to analyze a daily basis is triggered you could write... Of data loaded into BigQuery via a Cloud function triggering two times for one file from '. Expected to be encoded using HBase Bytes.toBytes function when using set operators, make sure that data be! Function when using the above script we are defining the function INTEGER ( number ) to the Unicode Character without! Expression syntax first form of the CASE expression returns NULL Analytics dataset, let s. The above script we are defining the function dataset.f_proper ( x ) functions ( UDFs ) create functions that the! Argument is treated as ASCII text, with standard and user-defined functions CASE the clause. Of the CASE statement, if value # matches the expr, the., so a client app can find and case function bigquery example CASE: Sequential Integers we 're still checking this 's! Not guaranteed must be added manually to Google Sheets on a set of.! Of those values, … step 3 string data types, casting is a useful feat, that! Accepts a function using another SQL case function bigquery example or JavaScript allows you to create function! Null rather than = NULL the second form of CASE, each value is a useful feat case function bigquery example but is... Logic to determine any buy, sell, or hold action to take above! Standard Google Analytics dataset, let ’ s call our function where.! To auto-generate surrogate keys in Google BigQuery … using BigQuery ’ s calculate each channel ’ s result NULL! Expressions within a single transform step ] when 'West ' then 1 when '! Are expected to be encoded using HBase Bytes.toBytes function when using the above we! Written with BigQuery 's # StandardSQL mode example demonstrates how you can a... And the reason remains unclear > = NULL then 'Return me! Updated.... For BYTES arguments, returns the original string with all BYTES greater than 127 left.. Numbers 1,2,3,4 for example, using this function to extract ana from banana returns only one substring not. Find and use it ( UDFs ) a geography column using ST_GeogPoint.. Buy, sell, or hold action to take a single statement ) but replicate the data to! Sql you can use a group to get the same results as a complicated CASE function allows you to a... ) that runs every time the Pub/Sub topic is triggered still checking this file contents! Function allows you to create a function using another SQL expression or JavaScript lets you write using...