In this video, learn how to create a materialized view.
- [Instructor] Now let's see how easily we can create … a materialized view. … I'm going to refresh the contents of the public schemas … so we have up to date information here. … And we will notice we have a materialized view section … but when I click on that there is nothing below that node … to display so let's create a materialized view. … We do that by entering the … command create materialize view. … And I'm going to call it mv_staff … and it's going to create the view as. … And now I specify a select statement. … So I'm going to select from the staff table … I'll select the last name, the department and the job title … for each employee and I want to include in this … materialized view a column from the company regions table … and we'll just pull in company regions. … And this will be from the staff table which I'll alias … with an s and I'm going to inner join … on the company regions table and I will alias that as cr. … And we are going to do the join on s or staff … region ID and we want that to be …
Author
Released
4/1/2019- How SQL executes queries
- Working with PostgreSQL tools for tuning
- Bitmap and hash indexes
- Using different types of indexes to improve performance
- Challenges with joining tables
- When to use partitioning to improve performance
- Collecting statistics about data in tables
Skill Level Advanced
Duration
Views
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Introduction
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1. How SQL Executes a Query
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Scanning tables and indexes3m 12s
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Joining tables2m 24s
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Partitioning data2m 23s
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2. PostgreSQL Tools for Tuning
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Installing PostgreSQL2m 41s
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Overview of pgAdmin3m 21s
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Explain and analyze3m 37s
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Indexes3m 7s
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3. Types of Indexes
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Indexing3m 1s
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B-tree indexes2m 2s
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B-tree index example plan2m 18s
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Bitmap indexes1m 46s
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Bitmap index example plan2m 39s
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Hash indexes1m 19s
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Hash index example plan1m 32s
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PostgreSQL-specific indexes1m 17s
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4. Tuning Joins
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Nested loops3m 19s
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Nested loop example plan3m 55s
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Hash joins1m 25s
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Hash join example plan1m 57s
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Merge joins2m 17s
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Merge join example3m 16s
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Subqueries vs. joins1m 11s
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5. Partitioning Data
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Partition by range2m 6s
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Partition by list1m 37s
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Partition by list example4m 55s
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Partition by hash2m 12s
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Partition by hash example4m 51s
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6. Materialized Views
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Materialized views1m 41s
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7. Other Optimization Techniques
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Hints to the query optimizer2m 13s
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Parallel query execution2m 3s
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Miscellaneous tips1m 47s
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Conclusion
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Next steps41s
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Video: Creating materialized views