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you have a table with close to 100 million records recently, a huge amount of this data was updated now, various queries against this table have slowed down considerably what is the quickest option to remedy the situation? : Sql server administration
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I have a website that allows customers to browse and place orders for certain products. I have 2 tables; Customers and Orders. The Customers table holds the customer records and the Orders table holds the orders placed by the customer. Both tables are tied based on the field Cust_ID. Example of the data is shown below: Cust_ID Cust_Name Cust_ID Product Amount Order_Date 1001 John Tan 1001 P-5211 $120.00 2/13/2006 1002 Michael Wong 1001 K-1428 $88.90 1/11/2006 1003 Mary Cheong 1003 C-0923 $82.50 1/27/2006 1004 Ahmad Suffian 1003 K-1428 $88.90 2/2/2006 Write a single SQL statement that extracts all purchase records with the following criteria: 1. Customer names starting with “M” only. 2. Orders placed within the current month only. 3. Amount does not exceed $100.00 The list must be sorted by order date with the latest order showing on top.
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