![]() Having the data for 2021 it might not be required anymore to have the data for 2012. Traffic_violations_p_2021 FOR VALUES FROM ('') TO (''), Once you are happy with it a simple attach command is enough and the partitioned table contains the new partition holding the data: So you can prepare the whole new data without touching the partitioned table. Now that we have 365 rows in the new table we can attach it to the partitioned table (of course you could already attach it before loading the data as well):Īttach partition traffic_violations_p_2021 Insert into traffic_violations_p_2021 (date_of_stop) Lets populate the new table with some data for 2021: Time_of_stop | time without time zone | | |įor now this table has no relational at all to the partitioned table, it just has the very same structure, that’s it. Postgres=# create table traffic_violations_p_2021 ( like traffic_violations_p including all ) Ĭolumn | Type | Collation | Nullable | Default With PostgreSQL’s create table command you have the “like_option” which is very handy for this use case: What we can do is to create a regular table with exactly the same structure as the partitioned table. If we keep the partitioned table as it is, new data would go to the default partition and this is not what we want. Lets assume we suddenly get data for the year 2021 and we want that data to be part of the range partitioned table. Traffic_violations_p_2020 FOR VALUES FROM ('') TO (''), Traffic_violations_p_2019 FOR VALUES FROM ('') TO (''), Traffic_violations_p_2018 FOR VALUES FROM ('') TO (''), Traffic_violations_p_2017 FOR VALUES FROM ('') TO (''), Traffic_violations_p_2016 FOR VALUES FROM ('') TO (''), Traffic_violations_p_2015 FOR VALUES FROM ('') TO (''), Traffic_violations_p_2014 FOR VALUES FROM ('') TO (''), Traffic_violations_p_2013 FOR VALUES FROM ('') TO (''), Partitions: traffic_violations_p_2012 FOR VALUES FROM ('') TO (''), Municipalities | smallint | | | | plain | | Violation_type | text | | | | extended | |Ĭontributed_to_accident | boolean | | | | plain | |Ĭouncil_districts | smallint | | | | plain | | Property_damage | boolean | | | | plain | |Ĭommercial_license | boolean | | | | plain | |Ĭommercial_vehicle | boolean | | | | plain | | Personal_injury | boolean | | | | plain | | Time_of_stop | time without time zone | | | | plain | | Partitioned table "affic_violations_p"Ĭolumn | Type | Collation | Nullable | Default | Storage | Stats target | Description Our range partitioned table currently has partitions for the years 2012 to 2020: Of course you could just create a new partition for that and then load the data but there is a more elegant way of doing that. A reason for that might be that you partitioned by year and suddenly you get data for the next year because your data is based on imported data from an external source. PostgreSQL partitioning (5): Partition pruningįrom time to time it might be required that you attach a partition to an existing partitioned table.PostgreSQL partitioning (4) : Hash partitioning.PostgreSQL partitioning (3): List partitioning.PostgreSQL partitioning (2): Range partitioning.PostgreSQL partitioning (1): Preparing the data set.If you missed the last posts about partitioning in PostgreSQL here they are: ![]() Having talked about partitioning strategies and partition pruning this time we will have a look on how you can attach and detach partitions to and from an existing partitioned table.
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