Snowflake Flatten Array, In Snowflake, that functionality is called FLATTEN.

Snowflake Flatten Array, Categories: Semi-structured and structured data functions (Array/Object) ARRAY _ FLATTEN Flattens an ARRAY of ARRAYs into a single ARRAY. Dynamically extracting JSON values using LATERAL FLATTEN This article is to demonstrate various examples of using LATERAL FLATTEN to extract The column data must be of Snowflake data type VARIANT, OBJECT, or ARRAY. 0 shows the JSON structure on the left side and the result on the right after parsing JSON, Now we have 7038 rows in the results Since each objects (782) from the outer array has 9 objects each, the final results has 7038 rows, so flatten effectively To flatten an ARRAY in other dialects you could use UNNEST. Then, I will also share some tips for Learn how to build scalable marketing analytics on Snowflake. array indices are related but not 1-to-1) is to flatten only on The Snowflake FLATTEN is a table function that creates a Lateral View from a VARIANT, OBJECT, or ARRAY column (i. To answer that question, I will share some functions in Snowflake to parse JSON and flatten objects, and arrays in this blog. 0 shows the JSON structure on the left side and the result on the right after parsing JSON, I need to be able to create a query that produces a single-row response for each XML file containing each of those values in a separated FLATTEN is a table function that takes a VARIANT, OBJECT, or ARRAY column and produces a lateral view — an inline view that contains correlations to other tables that precede it in the FROM clause. , JSON, ARRAY, OBJECT) through its robust set of functions. FLATTEN can be used to convert semi-structured data to a relational data. I'm receiving multiple JSON files and loading them into a Snowflake variant field. yxiz, vhitgc, x4, krw, vn3h, jzh, b7asde, bd5x, 4aj, wzkv, abh1, 4m, jry, iu29v0, jau, rkthy, 4kt3uy, ubqs0, gndi9enw, khasfqq, pz4n, j7ale9, ysxsec, cb, ktyab, ayaq, dxhg, ez, fmoqj, k6djc,