Materialized View – Oracle

A fast-refreshable materialized view cannot contain a non-deterministic function like current_timestamp. So if you want to materialize the data from the last 24 hours in a materialized view, the materialized view would need to do a complete refresh every time.

Do you need a materialized view? Could you maintain your own staging table and create a custom job that runs every few minutes, deletes the data that is now more than 24 hours old, and inserts the new data (either by directly querying the table or creating a trigger that writes the new data to a different table)? That's likely a non-starter if you need to use the query rewrite functionality of a materialized view but if you just want the benefit of having a smaller table to query, custom code may be more efficient.

Or could you partition the table by day so that queries for the past 24 hours always just have to hit the two most recent partitions?

You can always implement your own table serving as "materialized view". That's how we did it before MATERIALIZED VIEW was implemented in Postgres 9.3.

You can create a plain VIEW:

CREATE VIEW graph_avg_view AS 
SELECT xaxis, AVG(value) AS avg_val
FROM   graph
GROUP  BY xaxis;

And materialize the result once or whenever you need to start over:

CREATE TABLE graph_avg AS
SELECT * FROM graph_avg_view;

(Or use the SELECT statement directly, without creating a VIEW.)
Then, depending on undisclosed details of your use case, you can DELETE / UPDATE / INSERT changes manually.

A basic DML statement with data-modifying CTEs for your table as is:

Assuming nobody else tries to write to graph_avg concurrently (reading is no problem):

WITH del AS (
   DELETE FROM graph_avg t
   WHERE  NOT EXISTS (SELECT FROM graph_avg_view WHERE xaxis = t.xaxis)
   )
, upd AS (
   UPDATE graph_avg t
   SET    avg_val = v.avg_val
   FROM   graph_avg_view v
   WHERE  t.xaxis = v.xaxis
   AND    t.avg_val <> v.avg_val
-- AND    t.avg_val IS DISTINCT FROM v.avg_val  -- alt if avg_val can be NULL
   )
INSERT INTO graph_avg t  -- no target list, whole row
SELECT v.*
FROM   graph_avg_view v
WHERE  NOT EXISTS (SELECT FROM graph_avg WHERE xaxis = v.xaxis);

Basic recipe

• Add a timestamp column with default now() to your base table. Let's call it ts.
  • If you have updates, add a trigger to set the current timestamp with every update that changes either xaxis or value.

• Create a tiny table to remember the timestamp of your latest snapshot. Let's call it mv:

  CREATE TABLE mv (
     tbl text PRIMARY KEY
   , ts timestamp NOT NULL DEFAULT '-infinity'
  ); -- possibly more details
  

• Create this partial, multicolumn index:

  CREATE INDEX graph_mv_latest ON graph (xaxis, value)
  WHERE  ts >= '-infinity';
  

• Use the timestamp of the last snapshot as predicate in your queries to refresh the snapshot with perfect index usage.

• At the end of the transaction, drop the index and recreate it with the transaction timestamp replacing the timestamp in the index predicate (initially '-infinity'), which you also save to your table. Everything in one transaction.

• Note that the partial index is great to cover INSERT and UPDATE operations, but not DELETE. To cover that, you need to consider the entire table. It all depends on exact requirements.