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  1. A modern SQL dialect used by BigQuery, Databricks, or Snowflake proposes an excellent solution. SELECT * EXCEPT (ColumnNameX, [ColumnNameY, ...]) FROM TableA. This very powerful SQL syntax avoids a long list of columns that must be constantly updated due to table column name changes.

  2. A SELECT * EXCEPT statement specifies the names of one or more columns to exclude from the result. All matching column names are omitted from the output. WITH orders AS( SELECT 5 as order_id, "sprocket" as item_name, 200 as quantity ) SELECT * EXCEPT (order_id) FROM orders; Output:

  3. MySQL doesn’t natively support the SELECT * EXCEPT(column_name) syntax. To achieve the desired result, you need to manually specify the columns you want to include in your SELECT statement. However, it is possible to do certain inefficient workarounds like this:e:5969d8a384b6b52f4ccf6acae27d8b7e)

  4. 5 sty 2022 · Write select * except [columns] with Polymorphic Table Functions. Added in Oracle Database 18c, PTFs enable you to define the shape of a result set. So you can add or remove columns from the input table based on the parameters you pass.

  5. 11 gru 2021 · To exclude columns, you use the REPLACE() and GROUP_CONCAT() functions to generate the column names you wish to include in your SELECT statement later. In the following query, replace <column_name>, <table_name> and <database_name> with your actual MySQL names:

  6. 23 gru 2019 · The SQL EXCEPT statement is used to filter records based on the intersection of records returned via two SELECT statements. The records that are common between the two tables are filtered from the table on the left side of the SQL EXCEPT statement and the remaining records are returned.

  7. 22 paź 2019 · Discover the art of selectively querying columns in SQL. Learn techniques to omit specific columns, ensuring efficient and targeted data retrieval.

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