I have a list of Person objects, currently I use 5 different instances of associative structures (std::map/multimap, std::unordered_map) to provide efficient queries for various kinds of static result
I have 2 slave开发者_如何学Gos replicating from a master that has a 17GB index. I synced both slaves to this, AFTER which I set the poll interval to 60 seconds.
I need to do full text indexing for two different colums in two different tables. The only problem is that I\'m using innodb and there is no way for me to do full text indexing.
I have a table, students, with 3 columns: id, name, and age. I have a UNIQUE index Index_2 on columns name and age.
We have a huge InnoDB table with hundreds of millions of rows and only 3 columns: GUID, enum, smallint.
Given this table: CREATE TABLE DeptPeopleHistory ( DEPT_ID INTEGER, PERSON_ID INTEGER, START_DATE INTEGER,
From what I understand, CouchDB\'s Btree implementation actually uses Shadowing technique, and every update will produce new root, the following excerpts from this PDF (it looks like implementing a be
I have a numerical list: myList = [1, 2, 3, 100, 5] Now if I sort this list to obtain [1, 2, 3, 5, 100].
Lucene stores index for each field separetly. So when we perform query \"fld1:a AND fld2:b\" we iterate over Termdocs for first term and second term. This can\'t be faster. In case of database two sep
I have a select query which has a where clause: WHERE CONCAT(att.subjectId,\'#\',att.classId) IN (\'132#100\') . I have added a composite index on subjectId and classId but will these indexes be of an
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