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A database structure that can improve the speed of queries at the cost of disk space and slower inserts/updates. It stores a copy of one or more columns sorted but structures the data differently to allow faster access.
2
votes
Postgres indexes for 75 columns
If laurenz's suggestion of enforcing limitations is not possible for your product, because users will kick back or other stake-holders within the client (as you are not likely talking directly to the …
1
vote
Why would deleting a redundant index cause an application to perform unexpectedly?
Would creating an nonclustered index with the same column(s) as the clustered index be the most efficient? … What does the optimizer do in this case - does it still make a plan to include these "bad" indexes that just reference the clustered index, or will it know to ignore the with(index) request? …
0
votes
Skip (or speedup) postgres unique index creation if I know beforehand that it's unique
Is there a way to tell postgres to skip that index validation, because "I swear to god, it's unique"
There would be no point, because without properly creasing three index next time you insert or update … Similarly when changing data in a table with a foreign key referring that index. This would have to happen for every relevant data change. …
1
vote
Accepted
MySQL add key to a table that is in use
IIRC mysql has supported online secondary index creation for some time, assuming you are using a decent table type like InnoDB: https://dev.mysql.com/doc/refman/5.7/en/innodb-online-ddl-operations.html … “the table remains available for read and write operations while the index is being created”. …
1
vote
Advantage of using INCLUDE as against adding the column in INDEX for covering index
The INCLUDEd columns do not have to be kept in a stable order so if you update those columns (without changing their size if variable, or updating the others covered by the index) things do not need to … Just what it says: the value is copied into the index so the index is larger, and if there is an index scan or partial scan more pages will probably need to be accessed. …
-1
votes
Does adding a non clustered index to foreign key speed up the join?
With an index on Sales.UID it will likely scan users and be able to join using sales more efficiently because the joining field is pre-sorted by the index. … If you are likely to search by date rather than listing all sales, then an index with Sales.Date as the first covered column might be more helpful. …
1
vote
Accepted
Possible to create a constraint that is unique per foreign key?
Unique constrains, like any other index, can convert multiple columns in the same table - so to achieve what I think you are asking for you need to create a unique constraint on userId, repoId. … See When should I use a unique constraint instead of a unique index? for more discussion about that similarity and when you might choose one over the other. …
0
votes
Execution plan changed for existing query - high CPU usage
expense of a little disk space & memory due to the larger index. … In other DBs (MS SQL Server, Prosgres, ...) you can reduce the space hit by removing any index you have on just company_id and the compound index will be used instead (assuming company_id is the first …
1
vote
Accepted
Truncate and insert: Heap and build index or directly into Clustered table
If you turn the index off so that you have a heap, when you readd the clustered index it will have to reread the data, perform the same sort, and rewrite the pages in the new order - so it will be as expensive … , probably more so, than the initial insert with the clustered index turned on. …
4
votes
SQLServer - treat table as index
So in this example if you later add an index on only value you effectively have an index containing everything again (i.e. your original concern). … Off the top of my head I'm not sure if this would behave as an index on value including location, device, timestamp, type or an index on value, location, device, timestamp, type. …
1
vote
Clustered index in ETL (drop - insert - create?)
If the inserts are roughly in clustered index order, or are a bulk inserted (so can be ordered by the engine) then keeping the clustered index but dropping any non-clustered indexes and recreating them … If you are caring about time and not space (so the internal fragmentation due to extra page splits is not a big issue) then even with arbitrarily ordered individual inserts keeping the clustered index …
2
votes
Postgres: Performance: Slow index scan
Looking at the query: most of your LEFT JOINs are not really LEFT JOINs because of the predicate ON TRUE which makes them behave as CROSS JOINs. Your query is considering every row that comes out of:
…
1
vote
How to speed up counting and filtering on table with a lot of columns and filter conditions?
That removes the quick solution of "index the most commonly touched columns, and let the rest still scan" so the only other quick solution is an index on each of the columns. … The query planner will hopefully pick the most selective index option each time reducing the number of rows than need everything else to be checked. …
2
votes
Using an index when leading column is not in the predicate
Further note that in every circumstance where a skip-scan is better than a full index scan, having an index on the second column to use would be more efficient, often significantly so, meaning that while … it uses some other NC index
To explain why that particular index is selected and used instead of any other, we would need to know how that index and all the other indexes are defined, and perhaps see …
1
vote
Best way to solve a lot of queries stuck because of no index
index is the only solution. … Perhaps go for an online index build if possible - that will take longer but won't completely block part of the application while it does the job. …