In this video, learn how to use pgAdmin to query Postgres databases.
- [Daniel] Okay I'm going to start pgAdmin, … and since I'm on the Mac I'll just hit cmd + space … and type in the name of the program, pgAdmin, … and that will start the tool for me. … You may receive a message indicating you're not running … the latest version of pgAdmin, and that's okay. … We can just ignore that message for now. … Now, I'm going to concentrate … on the left navigation panel first. … Notice that at the top of the hierarchy … we have something called servers, … so I'm going to open that, … and you'll see that we have an instance … of PostgreSQL 11 database, so I'll open that as well. … And here we have structures under the database. … The ones we're most concerned with right now … are the databases, so I'll open that. … And you'll see there's one database called postgres, … and that's created by default, and I'll open that, … and these are the structures within the database. … The most important for us is the schemas. … We're going to use the schema called public, …
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
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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: Overview of pgAdmin