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  • mongo $ne query with an array not working as expected
    I'm trying to run the following queries with the data inserted as follows For whatever reason the $ne with 0 in the value doesn't seem to work I tried this on both linux and mac using v2 0 4
  • mongodb - Speeding up MongoBD query { $ne: [] } - Database . . .
    Create an index on the array field (index on an array field is called as Multikey Index) named as "array_field_ix_1" The following query does not use the index: db collection count( { array_field: { $ne: [] } } ) You can verify the index usage by generating a query plan using explain(): db collection explain() count( { array_field: { $ne
  • Efficient Querying - EF Core | Microsoft Learn
    Use indexes properly The main deciding factor in whether a query runs fast or not is whether it will properly utilize indexes where appropriate: databases are typically used to hold large amounts of data, and queries which traverse entire tables are typically sources of serious performance issues
  • $size - Database Manual - MongoDB Docs
    Use the $size operator to match arrays with the specified number of elements $size helps you query documents based on the size of an array field
  • Indexes - learnmongodbthehardway. com
    $nin and $ne queries cannot be answered by indexes, and force collection scans If you need to use these ensure you are filtering down using indexes as much as possible and leaving the $nin and $ne terms to the very last part of the query selector MongoDB has several types of indexes It also supports a couple of variations of the above indexes
  • MongoDB: Using $eq and $ne operators to match values (with . . .
    Two of the primary operators used in querying MongoDB collections are $eq (equal to) and $ne (not equal to) This tutorial covers how to use the $eq and $ne operators with detailed examples, catering to both beginners and advanced users of MongoDB Getting Started with $eq and $ne
  • mongodb - Index for queries with $ne and $or with arrays . . .
    I had the idea of an index {"type":1, "createDate":1, "state":1}, so that the query would hit on the type, use the createDate for the sort, and handle the $ne with last bit of the index It would still have to pick up 35%-40% of the documents to test for the users





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