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Sql explode?
Below is an example in the above example, id 1 has to be repeated 5 times and id 2 has to be repeated 2 times based on the count. Mar 27, 2024 · Solution: PySpark explode function can be used to explode an Array of Array (nested Array) ArrayType(ArrayType(StringType)) columns to rows on PySpark DataFrame using python example. PySpark SQL explode_outer(e: Column) function is used to create a row for each element in the array or map column. For complex types such array/struct, the data types of fields must be orderable. FLATTEN. For info about the differences between JSON_VALUE and JSON_QUERY, see Compare JSON_VALUE and JSON_QUERY. pysparkfunctions. All columns + explode knownlanguages + drop unwanted columns. The problem is, the column is neither a complete JSON nor stored as an Array. Despite explode being deprecated (that we could then translate the main question to the difference between explode function and flatMap operator), the difference is that the former is a function while the latter is an operator. Convert Dictionary/MapType to Multiple Columns. Create dataframe: df = sparkselectExpr("array(array(1,2),array(3,4)) kit") First query: spark. To split a string in SQL you can use a built-in function. I am new to pyspark and I want to explode array values in such a way that each value gets assigned to a new column. An explosion occurred today outside the US embassy in Beijing. Problem: How to explode & flatten the Array of Array (Nested Array) DataFrame columns into rows using Spark. See examples of using explode with null values, nested arrays and maps, and performance tips. Based on my experience, presto doesnt support recursive CTE. Need a SQL development company in Singapore? Read reviews & compare projects by leading SQL developers. The split () and explode () functions are available in base PHP and are used to perform string manipulations as well as conversions. The split () and explode () functions are available in base PHP and are used to perform string manipulations as well as conversions. When you use later view along with explode function, you will get result something like below. Suppose I have a table like this: I am looking for a way to explode this so that it lists every component for every BOM in the BOM column. In Databricks SQL and starting with Databricks Runtime 12. When applied to an array, it generates a new default column (usually named "col1") containing all the array elements. Need a SQL development company in Türkiye? Read reviews & compare projects by leading SQL developers. For beginners and beyond. Table functions are analogous to the FlatMap operation commonly found in functional programming or stream processing frameworks such as Kafka Streams Table functions are supported only on stream. asked Jun 1, 2019 at 18:38. 引用: hive中的lateral view 与 explode函数的使用. This tutorial shows you how to use the SQL Server STRING_SPLIT () function to split a string into a row of substrings based on a specified separator. The example below is for the new versions of MySQL. SQL stock isn't right for every investor, but th. For info about the differences between JSON_VALUE and JSON_QUERY, see Compare JSON_VALUE and JSON_QUERY. pysparkfunctions. Since you have an array of arrays it's possible to use transpose which will acheive the same results as zipping the lists together. Table functions must be used in conjunction with Lateral View. In essence, the explode function in PySpark offers a versatile and robust method to navigate and transform nested data structures, making data analysis in a distributed computing environment efficient and insightful. For example, StructType is a complex type that can be used to define a struct column. Step 1 will look something like: SELECT 'CREATE TABLE '|| table_name || '(' || array_to_string(keys, ' INT, ') || ");" as create_table_statement. Learn how to use SparkSQL to explode multiple columns of arrays or structs with different methods and examples. I am looking to explode a nested json to CSV file. First make the array field into an array of tuples of the original value and the index. Then do the explode. init() import pyspark from pyspark. Below is the input,output schemas and code. It provides a Query writer to send SQL commands to the database, creates repor. The person_attributes column is of the type string How can I explode this frame to get a data frame of the type as follows without the level attribute_key pysparkfunctions. I would like ideally to somehow gain access to the paramaters underneath some_array in their own columns so I can compare across some_param_1 through 9 - or even just some_param_1 through 5. I am looking to explode a nested json to CSV file. Unlike explode, if the array/map is null or empty then null is produced. I have the following table: id array 1 [{" How to implement composite partition (Range list / Hash range) partition in SQL server? 0. Spark SQL also supports generators (explode, pos_explode and inline) that allow you to combine the input row with the array elements, and the collect_list aggregate. Solution: Spark explode function can be used to explode an Array of Map. See the parameters, return type, and examples of the function. Here's how you can check out this event. sql; apache-spark; dataframe; apache-spark-sql. 3. As businesses are scaling down and resizing following the COVID-19 pandemic, the gig economy is exploding as many of us turn to freelance work and independent contracting Are you tired of straining your eyes while working on your database management tasks? If so, it’s time to unlock the benefits of SSMS Dark Mode. Explode multiple columns in Spark SQL table Spark explode multiple columns of row in multiple rows How to use explode in Spark / Scala spark dataframe: explode list column Spark unable to Explode column Explode multiple columns SparkSQL explode column with comma separated string in Spark SQL 除了 explode 函数,PySpark 还为我们提供了 posexplode 函数,它可以将数组数据展开成行,并且可以同时获取每个元素的位置。. explode array column to rows. Improve this question. Returns a new row for each element in the given array or map. Hot Network Questions Is a desert planet with a small habitable area possible? SQL has this great data structure for storing lists. A detailed SQL cheat sheet with essential references for keywords, data types, operators, functions, indexes, keys, and lots more. This works very well in general with good performance. if explode is used together with foreach to build a new string you can simulate explode by using a while loop like this: CREATE FUNCTION explode_and_loop(sep VARCHAR(),inputstring VARCHAR()) RETURNS VARCHAR() BEGIN. The problem is, the column is neither a complete JSON nor stored as an Array. Spark SQL also supports generators (explode, pos_explode and inline) that allow you to combine the input row with the array elements, and the collect_list aggregate. Here's what experts say cryptos need to skyrocket in popularity. The above code gives me the Name and value columns I need, but I still need a way to add in the EType column based on which value in the array passed to explode is being used to populate that particular row. Apr 24, 2024 · Learn how to use Spark explode functions to transform array or list and map columns to rows in Spark SQL. explode function has been introduced in Spark 1. In Databricks SQL and starting with Databricks Runtime 12. 2 LTS and above: Invocation from the LATERAL VIEW clause or the SELECT list is deprecated. withColumn(String colName, Column col) to replace the column with the exploded version of it. Unlike explode, if the array/map is null or empty then null is produced. The meme crypto Shiba Inu coin took off this week. But you can easily add similar function to your DB and then use it from php queries. UDTFs can be used in the SELECT expression list and as a part of LATERAL VIEW. I tried GROUP BY on words, filtered, and explode(filtered) but all gave errors. }, obj2: [array] } I want to select all elements from array, but I can't. When applied to an array, it generates a new default column (usually named “col1”) containing all the array elements. For the second and subsequent transformations, you are not creating new rows -- you are creating new columns. The columns produced by posexplode of an array are named pos and col. By using getItem () of the orgsparkColumn class we can get the value of the map key. Find a company today! Development Most Popular Emerging Tech Development Langu. Use another function which can explode this range. Returns a new row for each element in the given array or map. In Databricks SQL and starting with Databricks Runtime 12. Uses the default column name col for elements in the array and key and value for elements in the map unless specified otherwise. make a fake high school diploma Failure of a light bulb may also be the result of tight screwing or too much electrical flow. If you want to separate data on arbitrary whitespace you'll need something like this: You need to tag the sql environment you are using in your question otherwise it might not be answerable. Or an antipattern can be achieved by using the LIKE operator. The value of column scores are delimited by comma. I have column in table views: 165,75,44,458,458,42,45 This column contain user_ids who viewed a link. This function is used when dealing with complex data types such as arrays and maps. The where clause limits the result to only the rows with col2 values. flatten(col: ColumnOrName) → pysparkcolumn Collection function: creates a single array from an array of arrays. 2k 5 5 gold badges 27 27 silver badges 49 49 bronze badges. But obj2 - string with array. For beginners and beyond. You can first make all columns struct -type by explode -ing any Array(struct) columns into struct columns via foldLeft, then use map to interpolate each of the struct column names into col. Hive Lateral View Explode Asked 7 years, 4 months ago Modified 7 years, 4 months ago Viewed 12k times Problem: How to explode the Array of Map DataFrame columns to rows using Spark. asked Dec 14, 2011 at 17:49. Each field of categories contains diiferent values like "22,44,33,55,24,33,22" Now taking each value from that field, i need to get the value from a column "parent" in another table. And how to call Split function which will return a. to make as simple/clear as possible, so materials wood, metal, glass can go into making various products and materials themselves, and can be combined to make products or materials. I have column in table views: 165,75,44,458,458,42,45 This column contain user_ids who viewed a link. show () I want it to be like this. create struct and explode it into columns. Dec 13, 2021 · The above code gives me the Name and value columns I need, but I still need a way to add in the EType column based on which value in the array passed to explode is being used to populate that particular row. pysparkfunctions. what is lolicon Teradata SQL Assistant is a client utility based on the Open Database Connectivity (ODBC) technology. If expr is NULL no rows are produced. Looking to parse the nested json into rows and columnssql import SparkSession from pyspark. select($"Name", explode($"Fruits"). as("students")) tempDF. Trying to explode an array with unnest () in Presto and failing due to extra column Asked 4 years, 1 month ago Modified 4 years, 1 month ago Viewed 4k times Display data from database using explode in php Asked 9 years, 7 months ago Modified 9 years, 7 months ago Viewed 4k times Part of PHP Collective Learn how to use Pyspark to explode json data in a column into multiple columns with a real example and code. Description. answered Dec 2, 2022 at 10:56. sql import types as T df =. 探讨explode和posexplode函数的使用,以及如何处理班级、姓名、成绩等数据。 Jul 30, 2009 · The function returns NULL if the index exceeds the length of the array and sparkansi. * from TABLE_NAME1 t1 lateral view explode(t1. 1. If the array-like is empty, the empty lists will be expanded into a NaN valueexplode() function df2 = df. FLATTEN can be used to convert semi-structured data to a relational. The LATERAL VIEW clause is used in conjunction with generator functions such as EXPLODE, which will generate a virtual table containing one or more rows. Flattens (explodes) compound values into multiple rows. I tried using explode but I couldn't get the desired output this is the codemaster("local[3]") \appName("DataOps") \getOrCreate(). where exists (select 1 where t2 Explode is a User Defined Table generating Function (UDTF) in Hive. Today’s world is run on data, and the amount of it that is being produced, managed and used to power services is growing by the minute — to the tune of some 79 zettabytes this year. Firstly generate a series of numbers up to the largest number of delimited values you wish to explode. Impala supports the complex types ARRAY, MAP, and STRUCT in Impala 2 The `EXPLODE` function in Hive is used to transform an array or map column into multiple rows, effectively "exploding" the array or map elements into separate rows. In Spark, we can create user defined functions to convert a column to a StructType. The elements are divided based on the occurrence of patterns in the string. tad brown 66 1 1 silver badge 3 3. Before we start, let’s create a DataFrame with a nested array column. Therefore I want to start with a base component, then explode the relationships out by levels. Uses the default column name col for elements in the array and key and value for elements in the map unless specified otherwise A table function is a function that returns a set of zero or more rows. ), installed on a standard personal computer, process millions of records in seconds. In Visual Basic for Applicati. Split value from a date range in to individual values per date 3. May 19, 2020 · I'm struggling using the explode function on the doubly nested array. To split a string in SQL you can use a built-in function. I would like ideally to somehow gain access to the paramaters underneath some_array in their own columns so I can compare across some_param_1 through 9 - or even just some_param_1 through 5. Explode multiple columns in Spark SQL table Spark explode multiple columns of row in multiple rows How to use explode in Spark / Scala spark dataframe: explode list column Spark unable to Explode column Explode multiple columns SparkSQL explode column with comma separated string in Spark SQL 除了 explode 函数,PySpark 还为我们提供了 posexplode 函数,它可以将数组数据展开成行,并且可以同时获取每个元素的位置。. A lateral view first applies the UDTF to each row of base table and then joins resulting output rows to the input rows. Follow me on Linkedin https://wwwcom/in/bhawna-bedi-540398102/Instagram https://wwwcom/bedi_forever16/?next=%2FEXPLODEExplode function i. I've been trying to get a dynamic version of orgsparkexplode working with no luck: I have a dataset with a date column called event_date and another column called no_of_days_gap. Note: This function is binary-safe.
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Returns a new row for each element in the given array or map. The length of the lists in all columns is not same. sql; apache-spark; dataframe; apache-spark-sql. 3. For example, if my dataset looks like this - COL_01 COL_02 COL_03 1 A, B X, Y, Z 2 D, E, F V, W I want this as the output - COL_01 COL_02 COL_03 1 A X 1 B Y 1 NULL Z 2 D V 2 E W 2 F NULL Jun 19, 2019 · Apache Spark SQL - Multiple arrays explode and 1:1 mapping Explode on multiple columns in Hive Hive Explode and extract a value from a String W3Schools offers free online tutorials, references and exercises in all the major languages of the web. When an incandescent l. The table is in a regular Microsoft SQL Server database. I am extracting data from a JSON column which results in an array of strings. In Spark it works fine without lateral view. In recent years, the market for wellness wearables has exploded, with countless devices promising to track everything from steps taken to sleep quality. Create dataframe: df = sparkselectExpr("array(array(1,2),array(3,4)) kit") First query: spark. It takes an array (or a map) as an input and outputs the elements of the array (or a map) as separate rows. You should invoke a table valued generator function as a table_reference. Tags. sql import SparkSession, Row from pysparkfunctions import pandas_udf, PandasUDFType from pysparktypes import StructType, StructField, ArrayType spark = SparkSessionappName ('test_collect_array_grouped'). This article covers different Spark explode functions (explode, explode_outer, explode_left, explode_right) with examples and code. Returns a new row for each element with position in the given array or map. I have column in table views: 165,75,44,458,458,42,45 This column contain user_ids who viewed a link. all of this is a projection because a new column is generated. asked Jun 1, 2019 at 18:38. aberdeen journals deaths Explode takes a single row and creates more rows based on that row. The resulting array can then be exploded. points)) This particular example explodes the arrays in the points column of a DataFrame into multiple rows. Find a company today! Development Most Popular Emerging Tech Development Lan. How do I explode out each ActionID into 10 additional records (5 days before and 5 days after the date for current ActionID) without using slow table value function? Create a calendar table and join that. Installing SQL Command Line (SQLcl) can be a crucial step for database administrators and developers alike. edited Dec 3, 2021 at 10:26 Hello everyone , I am trying to parse an xml file in spark. Then use json_tuple with lateral view to extract all valuespos as position_in_array, --values from json. where exists (select 1 where t2 pysparkfunctionssqlexplode (col) [source] ¶ Returns a new row for each element in the given array or map. getOrCreate () def collect_array_grouped. asked Dec 14, 2011 at 17:49. See the syntax, examples, and troubleshooting tips for this built-in function. 1. roadworks eltham In Spark, we can create user defined functions to convert a column to a StructType. However there is one major difference is that Spark DataFrame (or Dataset) can have complex data types for columns. explode_outer(col) [source] ¶. explode(Column col) and DataFrame. Complex types (also referred to as nested types) let you represent multiple data values within a single row/column position. Dec 26, 2023 · Learn how to use the `explode` function to convert an array into a set of rows in SQL. Uses the default column name col for elements in the array and key and value for elements in the map unless specified otherwise. Mar 27, 2024 · 2. # """ A collections of builtin functions """ import inspect import decimal import sys import functools import warnings from typing import (Any, cast, Callable, Dict, List, Iterable, overload, Optional, Tuple, Type, TYPE_CHECKING, Union, ValuesView,) from py4j. Showing example with 3 columns for the sake of simplic. printSchema() tempDF Above schema shows that students is now struct type. Sua função é transformar os elementos de um array ou os pares chave-valor de um mapa em várias. Before we start, let's create a DataFrame with a nested array column. Exploding head syndrome refers to hearing a loud noise when falling asleep or waking up. The elements are divided based on the occurrence of patterns in the string. Current data looks like this: Person, Start Date, End Date, Score a. 1 and earlier: Jul 9, 2024 · MaxCompute:EXPLODE. tires for sale at walmart I want to convert them into rows like: It seems the array returned by get_json_object is string and when I use later view it always says: UDFArgumentException explode() takes an array or a map as a parameter. Convert Dictionary/MapType to Multiple Columns. where exists (select 1 where t2 pysparkfunctionssqlexplode (col) [source] ¶ Returns a new row for each element in the given array or map. The columns for a map are called pos, key and value. Column (s) to explode. The split () and explode () functions are available in base PHP and are used to perform string manipulations as well as conversions. This article shows you how to flatten nested JSON, using only $"column. Dec 23, 2020 · How do I properly explode fields in JSON using spark SQL PySpark explode string of json Pyspark exploding nested JSON into multiple columns and rows Jul 26, 2023 · O Comando EXPLODE. Below is the input,output schemas and code. When multiple EXPLODE s are used, the arrays are traversed in parallel, and elements with the same index are returned together. Here is one way using the build-in get_json_object function: UPDATE. Uses the default column name col for elements in the array and key and value for elements in the map unless specified otherwise4 Apr 18, 2024 · A set of rows composed of the elements of the array or the keys and values of the map. For beginners and beyond. When you use later view along with explode function, you will get result something like below. You can use a calendar table to solve this:. I am aware that storing a comma-separated string into a relational database sounds dumb, but the normal use case in the consumer application makes that really helpful. show() This guarantees that all the rest of the columns in the DataFrame are still present in the output DataFrame, after using explode. Jun 23, 2016 · 0. If you have an array of structs, explode will create separate rows for each struct element.
DECLARE part,returnstring VARCHAR(); DECLARE cnt,partsCnt INT(); SET returnstring = ''; Learn how to transform array or map columns into rows with explode function in Apache Spark. The where clause limits the result to only the rows with col2 values. I have successfully done it in Spark and Hive. I want to explode the column "event_params". A detailed SQL cheat sheet with essential references for keywords, data types, operators, functions, indexes, keys, and lots more. The length of the lists in all columns is not same. 2x4x12 studs Gingerbread Gingerbread. LATERAL VIEW will apply the rows to each original output row. Some columns contain extra ^ delimiter at the end, remove it before splitting. In recent years, mobile gaming has exploded in popularity, with millions of people around the world downloading and playing games on their smartphones. fla lottery com results apache-spark-sql; explode; Share. Improve this question. 2,062 8 8 gold badges 24 24 silver badges 37 37 bronze badges I am using spark 3. From creating intricate prototypes to manufacturing personalized products, this technology has opened up. UDTFs operate on single rows and produce multiple rows as output. i know a weenie man Each field of categories contains diiferent values like "22,44,33,55,24,33,22" Now taking each value from that field, i need to get the value from a column "parent" in another table. Explode multiple columns in Spark SQL table Spark explode multiple columns of row in multiple rows How to use explode in Spark / Scala spark dataframe: explode list column Spark unable to Explode column Explode multiple columns SparkSQL explode column with comma separated string in Spark SQL 除了 explode 函数,PySpark 还为我们提供了 posexplode 函数,它可以将数组数据展开成行,并且可以同时获取每个元素的位置。. But obj2 - string with array. The columns for a map are called key and value. sql import SparkSession, Row from pysparkfunctions import pandas_udf, PandasUDFType from pysparktypes import StructType, StructField, ArrayType spark = SparkSessionappName ('test_collect_array_grouped'). For example, the following SQL statement explodes the `my_array` variable into rows: sql. sql import SparkSession, Row from pysparkfunctions import pandas_udf, PandasUDFType from pysparktypes import StructType, StructField, ArrayType spark = SparkSessionappName ('test_collect_array_grouped'). Recently I was working on a task to convert Cobol VSAM file which often has nested columns defined in it.
Using explode, we will get a new row for each element in the array. 33 I am using Spark SQL (I mention that it is in Spark in case that affects the SQL syntax - I'm not familiar enough to be sure yet) and I have a table that I am trying to re-structure, but I'm getting stuck trying to transpose multiple columns at the same time. Though that post is not for pyspark, the technique is not language specific. PHP Explode method in sql query Exploding string to array, then searching array for multiple results explode results then implode php Explode MySQL string in Column. withColumn('word',explode('word')). Sep 8, 2020 · How can we explode multiple array column in Spark? I have a dataframe with 5 stringified array columns and I want to explode on all 5 columns. explode() is faster than split() because it doesn't match string based on regular expression. The Lateral view explode option is excluding the other data types Jun 8, 2017 · I have a dataset in the following way: FieldA FieldB ArrayField 1 A {1,2,3} 2 B {3,5} I would like to explode the data on ArrayField so the output will look. Note that I made an assumption about your data types as those aren't present. Here's an example of the EXPLODE built-in table function, which takes an ARRAY and outputs one value for each element of the array: Mar 28, 2021 · Apparently, the analyzed logical plan of the first query is identical to the lateral view query. And having the ability to use an index is the only good reason I would go to all the bother of parsing out the parameter string, building up query text with a variable number of predicates, and using dynamic SQL, and the trouble of testing it all. EDIT: I tried placing a value of null (undefined) in one of the arrays values, and when i do - the query would not return the row with null as one of the column values (returned 6 rows instead of. JOIN STRING_SPLIT('1,2,3',',') ON value = ProductId; The preceding STRING_SPLIT usage is a replacement for a common antipattern. answered Oct 15, 2015 at 10:21 1. {StructType, StructField, IntegerType} Therefore, I would like to separate the string by the furthest delimiter. If start is greater than stop then step must be negative, and vice versa. Therefore, you can transform the Spark queries with the explode () function as CROSS APLY OPENJSON () construct in T-SQL. I am using SQL Server and have a column that has JSON stored as a string in it. Just select appropriate fields from row: SELECT meta_dataprop_2 or try creating table alias and expanding via it (works in latest Trino version at least): SELECT t* edited Dec 2, 2022 at 11:06. It takes four arguments: The string to be searched for a substring. explode() function to convert each element of the specified single column "A" into a row (each value in a list becomes a row). 66 1 1 silver badge 3 3. Solution: Spark explode function can be used to explode an Array of Map. sadie pop May 18, 2016 · I have table with jsons: CREATE TABLE TABLE_JSON ( json_body string ); Json has structure: { obj1: { fields. Create dataframe: df = sparkselectExpr("array(array(1,2),array(3,4)) kit") First query: spark. enabled is set to falsesqlenabled is set to true, it throws ArrayIndexOutOfBoundsException for invalid indices. Dec 13, 2021 · The above code gives me the Name and value columns I need, but I still need a way to add in the EType column based on which value in the array passed to explode is being used to populate that particular row. pysparkfunctions. Current data looks like this: Person, Start Date, End Date, Score a. Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company Visit the blog WHERE s1INDEXINDEX = s3. Using SQL, I want to explode this into rows, where each row represents a day and whether this day is inside any of the ranges. Examples: > SELECT elt (1, 'scala', 'java'); scala > SELECT elt (2, 'a', 1); 1. return : test `count 3` test2 `count 2` test3 `count 1` pandasexplode Transform each element of a list-like to a row, replicating index values. After optimization, the logical plans of all three queries became identical. if explode is used together with foreach to build a new string you can simulate explode by using a while loop like this: CREATE FUNCTION explode_and_loop(sep VARCHAR(),inputstring VARCHAR()) RETURNS VARCHAR() BEGIN. The reason is Hive takes a strongly-typed view of arrays, so mixing integers and other things won't work. Figure out the origin of exploding head syndrome at HowStuffWorks. I have column in table views: 165,75,44,458,458,42,45 This column contain user_ids who viewed a link. Regular expressions are powerful but expensive. Applies to: Databricks SQL Databricks Runtime 12. LATERAL VIEW applies the rows to each original output row. 2 door jeep rubicon for sale This functionality may meet your needs for certain tasks, but it is complex to do anything non-trivial, such as computing a custom expression of each array element Learn how to use the explode function to create a new row for each element in an array or map. The columns for a map are called key and value. *, as shown below: import orgsparkfunctions case class S1(FIELD_1: String, FIELD_2: Long, FIELD_3: Int) The source of the problem is a Spark version you use on EC2. pysparkfunctions Returns a new row for each element with position in the given array or map. Extracting column names from strings inside columns: create a proper JSON string (with quote symbols around json objects and values) create schema using this column. For complex types such array/struct, the data types of fields must be orderable. FLATTEN. explode(col: ColumnOrName) → pysparkcolumn Returns a new row for each element in the given array or map. Discussion: To get substrings from a string, you can use Oracle's built-in REGEXP_SUBSTR() function. explode_outer will return NULL, while array is NULL or empty. Need a SQL development company in Singapore? Read reviews & compare projects by leading SQL developers. Learn the syntax of the split function of the SQL language in Databricks SQL and Databricks Runtime. JOIN STRING_SPLIT('1,2,3',',') ON value = ProductId; The preceding STRING_SPLIT usage is a replacement for a common antipattern. Using explode, we will get a new row for each element in the array. 1 and earlier: Jul 9, 2024 · MaxCompute:EXPLODE. Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company Visit the blog It depends on the syntax of the string - what are the rules? Is it alway an array of 2 value arrays? Is the first always text and the second alway an INT? Spark Dataframe - Explode. 4, hence it cannot work on 11.