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Plan Columns Object: easy document editing

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Choose the Order of Columns in Composite Indexes In general, you should put the column expected to be used most often first in the index. You can create a composite index (using several columns), and the same index can be used for queries that reference all of these columns, or just some of them.
No, you should not index all of your columns, and there's several reasons for this: There is a cost to maintain each index during an insert, update or delete statement, that will cause each of those transactions to take longer. It will increase the storage required since each index takes up space on disk.
Primary key columns are typically great for indexing because they are unique and are often used to lookup rows. In general (I don't use MySQL so can't comment specifically), primary keys make good indexes. They are unique and must have a value specified.
Indexing every column in every table will tax the DBMS too much in terms of index- maintenance processing, especially if the table has many attributes, many rows, and/or requires many inserts, updates, and/or deletes. Knowing the sparsity helps you decide whether the use of an index is appropriate.
Don't just blindly index every column just because you can — this is a guarantee for lousy system performance — any index also requires maintenance and upkeep, so the more indices you have, the more your INSERT, UPDATE and DELETE operations will suffer (get slower) since all those indices need to be updated.
6 Multiple-Column Indexes. MySQL can create composite indexes (that is, indexes on multiple columns). An index may consist of up to 16 columns. For certain data types, you can index a prefix of the column (see Section 8.3.
If there is a choice between multiple indexes, MySQL normally uses the index that finds the smallest number of rows (the most selective index). If the table has a multiple-column index, any leftmost prefix of the index can be used by the optimizer to look up rows.
According to the above queries first_name, last_name columns can be indexed as they are located in the WHERE clause. Also, an additional field, country_id from country table, can be considered for indexing because it is in a JOIN clause. So indexing can be considered on every field in the WHERE clause or a JOIN clause.

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