Criteria | GUIDs | Seq. GUIDs | BIGINT | INT |
Storage | 16 bytes | 16 bytes | 8 bytes | 4 bytes |
Insert/Update performance | Slowest | Comparable but the index keys are larger in size. For wider tables, this would be slower than Integer values. | Faster than sequential GUIDs | Fastest |
Hotspot contention | Very rare | Yes | Yes | Highest, due to smaller size of RIDs |
Fragmentation/Page Splits | High | Minimal | Minimal | Minimal |
JOIN Performance/SORT operations | Least performance (Rank 4 = Least performance) | Better than random GUIDs due lesser fragmentation (Rank: 3) | High performance (Rank: 2) | High Performance (Rank: 1) |
Logical reads | Rank 4=Highest | Rank 3 | Rank 2 | Rank 1=Least |
Merging data across servers | Beneficial | Beneficial | Difficult | Difficult |
Uniqueness | Rare chance of duplicates | Globally unique. Virtually no chance of collisions | Limited by range of BIGINT | Limited by range of INT |
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This comprehensive set of reverse engineering tutorials covers x86, x64 as well as 32-bit ARM and 64-bit architectures. If you're a newbie looking to learn reversing, or just someone looking to revise on some concepts, you're at the right place. As a beginner, these tutorials will carry you from nothing upto the mid-basics of reverse engineering, a skill that everyone within the realm of cyber-security should possess. If you're here just to refresh some concepts, you can conveniently use the side bar to take a look at the sections that has been covered so far.
نگاهی به لیست کاری تیم C# 7
Full-Text Search در MongoDB
MongoDB, one of the leading NoSQL databases, is well known for its fast performance, flexible schema, scalability and great indexing capabilities. At the core of this fast performance lies MongoDB indexes, which support efficient execution of queries by avoiding full-collection scans and hence limiting the number of documents MongoDB searches.
Starting from version 2.4, MongoDB began with an experimental feature supporting Full-Text Search using Text Indexes .