Step 9: Retrieve the details of all the cars having cost greater than or equal to 30000. Query: SELECT * FROM CARS WHERE CAR_NAME LIKE 'C%' Syntax: SELECT * FROM TABLE_NAME WHERE COLUMN_NAME LIKE 'STARTING_LETTER%' Note – Use of LIKE for matching multiple values i.e. Step 8: Retrieve the details of all the cars whose name starts with the letter C. Query: SELECT * FROM CARS WHERE COMPANY IN ('TOYOTA','HONDA') Syntax: SELECT * FROM TABLE_NAME WHERE COLUMN_NAME IN (MATCHING_VALUE1,MATCHING_VALUE2) Note – Use of IN for matching multiple values i.e. Step 7: Retrieve the details of all the cars belonging to the companies TOYOTA and HONDA. Step 6: Display all the rows of the CARS table.
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INSERT INTO CARS VALUES('BENZ','MERCEDES',100000) INSERT INTO CARS VALUES('POLO','VOLKSWAGEN',50000) INSERT INTO CARS VALUES('CIAZ','HONDA',30000)
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INSERT INTO CARS VALUES('CAMRY','TOYOTA',20000) Query: INSERT INTO CARS VALUES('INNOVA','TOYOTA',10000) Step 5: Insert 5 rows into the CARS table. Step 4: Describe the structure of the table CARS. This table has 3 columns namely CAR_NAME, COMPANY and COST containing the name, company and cost of various cars. Step 3: Create a table CARS inside the database GeeksForGeeks. For this use the below command to create a database named GeeksForGeeks. ISRO CS Syllabus for Scientist/Engineer Exam.ISRO CS Original Papers and Official Keys.GATE CS Original Papers and Official Keys.Left join temp_staging_tables_2 t2 on t1.tableid = t2. THEN 1 ELSE t2.min_blocks_per_slice END as pct_skew_across_slices,ĬAST(100 * t2.slice_count AS FLOAT) / (SELECT COUNT(*) FROM STV_SLICES) as pct_slices_populated
![ilike redshift ilike redshift](https://cdn.redshift.autodesk.com/2016/05/industrial_design_career_poster.jpg)
CASE WHEN (t2.min_blocks_per_slice = 0) Temp_staging_tables_2 as (SELECT tableid, MIN(c) as min_blocks_per_slice, MAX(c) as max_blocks_per_slice, COUNT(DISTINCT slice) as slice_countįROM (SELECT t.tableid, slice, COUNT(*) AS cįROM temp_staging_tables_1 t, STV_BLOCKLIST bġ00 * CAST(t2.max_blocks_per_slice - t2.min_blocks_per_slice AS FLOAT) (SELECT COUNT(*) FROM STV_BLOCKLIST b WHERE b.tbl = c.oid) as size_in_megabytesĪND nspname NOT IN ('pg_catalog', 'pg_toast', 'information_schema') With temp_staging_tables_1 as (SELECT n.nspname as schemaname, c.relname as tablename, c.oid as tableid, Here is a view of that script for analyzing table design in case anyone wants it. To learn more about optimizing performance in Redshift, check out this blog post by one of our analysts. (You may be able to specify a SORT ONLY VACUUM in order to save time) This is because newly added rows will reside, at least temporarily, in a separate region on the disk.
#ILIKE REDSHIFT UPDATE#
The script checks if you’ve got sort keys, distribution keys, and column compression dialed in.Īs you update tables, it’s good practice to vacuum. Redshift has a nice page with a script that you can run to analyze your table design.
#ILIKE REDSHIFT HOW TO#
Redshift has a page on how to best choose sort and distribution setups depending on data configuration. For tables that join into other tables (such as dimension tables in the star schema world), it is best to set the primary key to be the distribution key. This helps Redshift speed up queries that are sorted or limited by that column.įor tables that join in other tables with a great deal of frequency (such as fact tables in the star schema world), it’s best to set your distribution key to be the foreign key with the greatest cardinality.
![ilike redshift ilike redshift](https://www.redshift3d.com/cms/ce_image/made/cms/assets/user_gallery/Image4_1200_900.jpg)
Typically, the primary timestamp or date field of any given table will be the best candidate for your sortkey.