How to figure out if mysql index fits entirely in memory

Depends on Storage Engine MyISAM (Caches Index Pages From .MYI files) SELECT FLOOR(SUM(index_length)/POWER(1024,2)) IndexSizesMB FROM information_schema.tables WHERE engine=”MyISAM” AND table_schema NOT IN (‘information_schema’,’performance_schema’,’mysql’); Subtract that from key_buffer_size. If the answer > 0, then Yes InnoDB (Caches Data and Index Pages) SELECT FLOOR(SUM(data_length+index_length)/POWER(1024,2)) InnoDBSizeMB FROM information_schema.tables WHERE engine=”InnoDB”; Subtract that from innodb_buffer_pool_size. If the answer > … Read more

How to determine what type of index to use in Postgres?

Postgres support B-tree, R-tree, Hash, GiST and GIN indexing types. B-tree indexing is the most common and fits most common scenarios. This is the syntax: CREATE INDEX idex_name ON table_name USING btree(column1, column2); Here is the createindex documentation and here is more info on different indextypes in postgres. What type of index you should use … Read more

How is numpy’s fancy indexing implemented?

You have three questions: 1. Which __xx__ method has numpy overridden/defined to handle fancy indexing? The indexing operator [] is overridable using __getitem__, __setitem__, and __delitem__. It can be fun to write a simple subclass that offers some introspection: >>> class VerboseList(list): … def __getitem__(self, key): … print(key) … return super().__getitem__(key) … Let’s make an … Read more

PostgreSQL HASH index

Hashes are faster than B-Trees for cases where you have a known key value, especially a known unique value. Hashes should be used if the column in question is never intended to be scanned comparatively with < or > commands. Hashes are O(1) complexity, B-Trees are O(log n) complexity ( iirc ) , ergo, for … Read more

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