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This is the next post in the PostgreSQL partitioning series. If you missed the previous ones here they are: PostgreSQL partitioning (1): Preparing the data set PostgreSQL partitioning (2): Range partitioning PostgreSQL partitioning (3): List partitioning PostgreSQL partitioning (4): Hash partitioning This time we will have a look at partition pruning. Never heard of that? Don’t worry, hopefully it will be clear at the end of this blog post.
The last partitioning strategy we will look at is: hash partitioning. If you missed the first posts in this series here they are: PostgreSQL partitioning (1): Preparing the data set PostgreSQL partitioning (2): Range partitioning PostgreSQL partitioning (3): List partitioning Usually hash partitioning is used when you do not have a natural way of partitioning your data or you want to evenly distribute the data based on hash.
In the last posts of this series we prepared the data set and had a look at range partitioning. In this post we look at another partitioning strategy: List partitioning. Instead of partitioning by a range (typically based on day, year, month) list partitioning is used to partition on an explicit list with key values that define the partitions.
Now that the data set is ready we will look at the first partitioning strategy: Range partitioning. Usually range partitioning is used to partition a table by days, months or years although you can partition by other data types as well. Time/date based range partitioning is probably the most common use case so we will partition our traffic violation data by year and later on sub partition that month.
This is the start of a series about partitioning in PostgreSQL. For this and the following posts I will use PostgreSQL 12 (which currently is in beta) so some stuff might not work if you are on PostgreSQL 11 or even on PostgreSQL 10 when declarative partitioning was introduced. This very first post is only about preparing the data set and I decided to separate this one from the next post because it shows various…
PostgreSQL 10 introduced declarative partitioning (with some limitations), PostgreSQL 11 improved that a lot (Updating the partition key now works in PostgreSQL 11, Insert…on conflict with partitions finally works in PostgreSQL 11, Local partitioned indexes in PostgreSQL 11, Hash Partitioning in PostgreSQL 11) and PostgreSQL 12 goes even further. Beside that foreign keys can now reference partitioned tables three new functions made it into PostgreSQL 12 that will give you information about your partitioned tables.
When you are using prepared statements in PostgreSQL you might get a custom or a generic plan. Custom plans come with overhead of re-planning while generic plans avoid re-planning of the statement. A soon as you get a generic plan that plan will be used for the lifetime of your session and there are situations when you do not want to see this as a generic plan might be more expensive than a custom plan….
Every application somehow needs to deal with passwords. Some use external authentication methods such as ldap, others us the the framework the database already provides and create users and roles. But it is also not uncommon that applications implement their own concept for managing users. If an application does this it should be done the right way and passwords should never be stored in plain text in the database. PostgreSQL comes with a handy extension…
As PostgreSQL does not know the concept of running multiple instances against the same files on disk (e.g. like Oracle RAC) it should not be possible to start two or more instances against the same data directory. If that would work the result can only be corruption. In this post we will look at how PostgreSQL is detecting that and what mechanism are build in to avoid the situation of having multiple instances working against…
Sometimes you might want to create users in PostgreSQL using a function. One use case for this is, that you want to give other users the possibility to create users without granting them the right to do so. How is that possible then? Very much the same as in Oracle you can create functions in PostgreSQL that either execute under the permission of the user who created the function or they run under the permissions…
