Optimize the given query by using query optimization techniques based on the database schema given. The output should be the same. The database schema for the dataset is given below

  

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.timer on SELECT FROM WHERE ORDER BY s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment part, supplier, partsupp, nation, region. p partkey = ps partkey AND s suppkey = ps_suppkey AND p_size = 11 -- [SIZE] AND p type like 'MEDIUM BRUSHED COPPER' AND s_nationkey=n_nationkey AND n_regionkey=r_regionkey AND r name = 'ASIA' AND ps_supplycost = ( SELECT FROM WHERE -- s acctbal DESC, n name, S name, p_partkey; '[REGION]' min (ps_supplycost) '%[TYPE] ' partsupp, supplier, nation, region P_partkey - ps_partkey AND s suppkey ps_suppkey AND s_nationkey = n_nationkey AND n regionkey r_regionkey AND r name 'ASIA' '[REGION]' .timer on SELECT FROM WHERE ORDER BY s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment part, supplier, partsupp, nation, region. p partkey = ps partkey AND s suppkey = ps_suppkey AND p_size = 11 -- [SIZE] AND p type like 'MEDIUM BRUSHED COPPER' AND s_nationkey=n_nationkey AND n_regionkey=r_regionkey AND r name = 'ASIA' AND ps_supplycost = ( SELECT FROM WHERE -- s acctbal DESC, n name, S name, p_partkey; '[REGION]' min (ps_supplycost) '%[TYPE] ' partsupp, supplier, nation, region P_partkey - ps_partkey AND s suppkey ps_suppkey AND s_nationkey = n_nationkey AND n regionkey r_regionkey AND r name 'ASIA' '[REGION]'

Answer rating: 100% (QA)

To optimize the given query we can follow these steps 1 Remove unnecessary columns from the SELECT s... View the full answer