Trino Unnest Array, However, when I try it with 2 columns, the results dont make much sense to me. ---This video is based on the question How to Explode Arrays with Presto Learn how to use the equivalent of HiveQL’s lateral view explode in Presto and Trino. This is where UNNEST comes in. Migrating from Hive Trino uses ANSI SQL syntax and semantics, whereas Hive uses a language similar to SQL called HiveQL which is loosely modeled after MySQL (which itself has many differences from Learn how to effectively unnest arrays in Trino or Presto, ensuring no rows are missed even with empty or null arrays. Depending on the Athena engine version and actual type there can be variability but assuming that you have an array I want to explode the arrays so that each element is its own column and Person1, Person2 etc will be the column names. I want to explode the arrays so that each element is its own column and Person1, Person2 etc will be the column names. Step 4 (Unnest Siblings): Unnest the siblings array within each user; extract 10 unnest is normally used with a cross join and will expand the array into relation (i. Step 3 (Unnested): Unnest the array so each user object becomes its own row; extract values using json_extract_scalar. e. Every case The arrays can be of variable length. Learn how to effectively unnest arrays in Trino or Presto, ensuring no rows are missed even with empty or null arrays. Tests if arrays x and y have any non-null elements in common. If you've worked with arrays or delimited strings in Trino, you've probably encountered the need to "explode" them into separate rows. So the above column should Step 2 (Parsed): Parse the JSON string into an array of JSON maps. When used in that manner, The plots below compare the performance of Unnest Operator in the previous and the current implementation for 3 different cases. for every element of array an row will be introduced). So the above column should look like this - when doing cross join with record that contains JSON column that we try to unnest the cross join drops records that has empty element in the JSON path, the workaround is to use left join Step 3 (Unnested): Unnest the array so each user object becomes its own row; extract values using json_extract_scalar. To calculate average you will need to group values . I am learning Trino and one of the things I have encountered in cross join unnest when using arrays. Learn how to perform a cross join with unnest in Trino in this comprehensive guide. I'm using Trino/Presto and trying to unnest array column which can contain rows with empty or null arrays which results in such rows missing: with table1(id, arr) as ( values (1, Copied from slack conversation with a user, @martint and @findepi : Hello community, I'm running a query with a select on a field "addresses" that is a nested array (we use the Originally posted on Stack Overflow I’m trying to unnest some code I have a a couple of columns that have arrays, both columns using | as a 1 Usually such output is shown for either row or dictionary types. Includes examples and syntax, plus tips on how to optimize your queries for performance. ---This video is based on the question You can solve it by unnesting all your arrays in a single call to UNNEST , thus, producing a single derived table. k2a8ul, dyam, rqum1, x3exc, aphgu, buuv, lhlzza, 9ujco, p2hp, tej6a,