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create table test.json_test_01 (
id int,
description string,
struct_address STRUCT<street_number: STRING, street_name: STRING, city: STRING, province: STRING>,
arrary_phone ARRAY<STRUCT<phone_number: STRING, phone_type: STRING>>
);
insert into ...
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Hi @Richard Guo Great to meet you, and thanks for your question! Let's see if your peers in the community have an answer to your question. Thanks.
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I have a column that contains an array of structs as follows:"column" : [
{ "struct_field1": "struct_value", "struct_field2": "struct_value" },
{ "struct_field1": "struct_value", "struct_field2": "struct_value" }
]I want to apply a udf to each f...
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Hi @Richard Belihomji, It looks like you are trying to apply a UDF to each field of the structs in an array column in a Spark DataFrame. However, it seems you are encountering an issue with the UDF not receiving the context.To nest a UDF inside a tr...
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We can set for example:spark.conf.set('aaa.test.junk.config', 99999) , and then run spark.conf.get("aaa.test.junk.config”) which will return a value.The problem occurs when incorrectly setting to a similar matching property.spark.conf.set('spark.sql....
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You would solve this just like we solve this problem for all lose string references. Namely, that is to create a constant that represents the key-value you want to ensure doesn't get mistyped.Naturally, if you type it wrong the first time, it will be...
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