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I want to search a table to find all rows where one particular field is one of two values. I know exactly what the values would be, but I'm wondering which is the most efficient way to search for them:
for the sake of example, the two values are "xpoints" and "ypoints". I know for certain that there will be no other values in that field which has "points" at the end, so the two queries I'm considering are:
WHERE `myField` IN ('xpoints', 'ypoints')
--- or...
WHERE `myField` LIKE '_points'
which would give the best results in this case?
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Text IndexMongoDB provides text indexes to support text search queries on string content. text indexes can include any field whose value is a string or an array of string elements. To perform text search queries, you must have a text index on your collection.
As always with SQL queries, run it through the profiler to find out. However, my gut instinct would have to say that the IN search would be quicker. Espcially in the example you gave, if the field was indexed, it would only have to do 2 lookups. If you did a like search, it may have to do a scan, because you are looking for records that end with a certain value. It would also be more accurate as LIKE '_points' could also return 'gpoints', or any other similar string.
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Unless all of the data items in the column in question start with 'x' or 'y', I believe IN will always give you a better query. If it is indexed, as @Kibbee points out, you will only have to perform 2 lookups to get both. Alternatively, if it is not indexed, a table scan using IN will only have to check the first letter most of the time whereas with LIKE it will have to check two characters every time (assuming all items are at least 2 characters) -- since the first character is allowed to be anything.
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