In this video, see how to implement partition by range.
- [Instructor] Let's see how we create a table … using range partitioning. … We'll use the IoT table example we discussed … in the previous video. … So, let's issue the CREATE TABLE command … and that will start off with CREATE TABLE, … so it's no different than we usually create a table, … so we'll give it a name … and I'll call this iot_measurement … and now we'll specify our columns. … Let's see, I want a location, … we'll assume have a location_id … and I'll make sure that's an int … and I don't want that to be null. … Next, I'll add a measure_date … and that of course will be of type date … and that has to be not null as well … and we want to know what the temp is, … so we'll record the temperature in Celsius … and we'll assume that's just an int … and that could be null … and let's get the relative humidity. … And let's assume that's an int as well. … So, this is the basics of creating a table … but we want a partition table, … so we're going to add the phrase PARTITION BY … and we want to specify PARTITION BY RANGE …
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: Partition by range example