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How to improve the execution time of inserting to a table from selecting rows from a table of million rows in ORACLE?


By : user6096185
Date : September 15 2020, 10:00 PM
Hope that helps Adding an APPEND hint may enable a direct path insert, which can avoid generating extra REDO data used for recovery:
code :
INSERT /*+ append */ INTO T1
SELECT * FROM T2;
ALTER SESSION ENABLE PARALLEL DML;

INSERT /*+ parallel append */ INTO T1
SELECT * FROM T2;


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improve query performance on SQL Server table contain 3.5 Million rows and growing


By : user5866155
Date : March 29 2020, 07:55 AM
I wish this helpful for you To fully optimize those queries you need two different multiple indexes :
code :
CREATE INDEX ix_valuedata_asc ON VALUEDATA (DeviceId, MeterId, Date_Time);
CREATE INDEX ix_valuedata_des ON VALUEDATA (DeviceId, MeterId, Date_Time DESC);

Inserting all rows one by one into a empty table by selecting the rows from another table in SQL Server


By : Chris Hill
Date : March 29 2020, 07:55 AM
I hope this helps you . I am trying to insert rows into a empty table by selecting rows from another table both tables containing same columns my query is , You can do it in one statement
code :
insert into Sam.dbo.T_Emp (Name, Address) 
select Name, Address from Test.dbo.T_Sample

Oracle insert in index table:Time to load 500 thousand rows is more than inserting 16 million rows


By : AndyWebDev
Date : March 29 2020, 07:55 AM
fixed the issue. Will look into that further Thank everyone for your valuable thoughts.
I found the actual problem later. Since I have doing frequent truncate and load in target table RDW10DM.INV_ITEM_LW_DM so index pages might have fragmented. So, ran query after rebuilding indexes and got expected results.

how to make selecting random rows in oracle faster with table with millions of rows


By : user3892557
Date : March 29 2020, 07:55 AM
will be helpful for those in need Using appropriate values of sample(x) is the fastest way you can. It's block-random and row-random within blocks, so if you only want one random row:

Improve query performance in 300 million rows table


By : عبد سلام شاب انتيك
Date : March 29 2020, 07:55 AM
should help you out Moving criteria to a subquery (CTE) is not the solution. You are supposed to use SQL to tell the DBMS what to get, not how to get it. It's the DBMS's task to find the optimal plan. So write the query as readable as possible and help the DBMS by providing appropriate indexes.
You should have the following indexes for the query:
code :
create index idx1 on tableB ( type, idB ); -- to find B quickly and have the ID ready for the join
create index idx2 on tableA ( idA );
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