Web19 jan. 2024 · On SQL Server, this will list all the indexes for a specified table: select * from sys.indexes where object_id = (select object_id from sys.objects where name = 'MYTABLE') This query will list all tables without an index: SELECT name FROM sys.tables WHERE OBJECTPROPERTY (object_id,'IsIndexed') = 0 Web8 feb. 2024 · You can run a query using the user_objects view. Sort it by CREATED descending like the query below. select * from user_objects where object_type = 'TABLE' --and created BETWEEN :P_DATE1 AND :P_DATE2 order by created desc And if you will create another table again, add some hint/mark in the table name.
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Web16 feb. 2024 · SQL concatenation is the process of combining two or more character strings, columns, or expressions into a single string. For example, the concatenation of ‘Kate’, ‘ ’, … Web14 apr. 2024 · 3. Creating a Temporary View. Once you have your data in a DataFrame, you can create a temporary view to run SQL queries against it. A temporary view is a named view of a DataFrame that is accessible only within the current Spark session. To … shapcheofficial
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Web20 mei 2015 · The Microsoft docs on the FROM clause specify that FROM is followed by table_source which is a qualified table_or_view_name which is defined as "Is the name of a table or view". Yet while my FROM clause works, no such table or view name appears in Object Explorer (even after refresh). What's going on here? Web16 aug. 2013 · If you are using PL/SQL Developer; Right click on table, Select View, at the right bottom of the view window click on 'View SQL' button. Share Improve this answer … Web14 apr. 2024 · To create a temporary view, use the createOrReplaceTempView method df.createOrReplaceTempView("sales_data") 4. Running SQL Queries With your temporary view created, you can now run SQL queries on your data using the spark.sql () method. This method returns the result of the query as a new DataFrame. ponthoz