When creating a database in Navicat, it is critical to choose an appropriate collation to ensure correct storage and retrieval of data. Recommended collations include: Multilingual data and general text storage: utf8_unicode_ci Data containing large numbers of emojis or special characters: utf8mb4_unicode_ci Case-insensitive strings: utf8_general_ci
Collation selection when creating a database in Navicat
When creating a database in Navicat, specifying a collation is critical for storing and retrieving data. Collation rules determine how data is sorted and processed character by character.
Collation Options
Navicat provides the following collation options:
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Unicode (utf8_unicode_ci): Recommended Used to store and process multilingual data, following the Unicode character standard.
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Unicode (utf8mb4_unicode_ci): Similar to utf8_unicode_ci, but supports a larger range of characters, including emojis.
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Binary (binary): Binary sorting, sorting characters by byte value.
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Case Insensitive (utf8_general_ci): Case insensitive, sorted by Unicode code point of characters.
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Case Sensitive (utf8_bin): Case sensitive, sorted by the byte value of characters.
How to choose a collation
When choosing a collation, consider the following factors:
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Data types: The type of data to store (e.g. text, number, date).
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Language requirements: Whether multi-language data needs to be processed.
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Case sensitivity: Whether it is necessary to distinguish between upper and lower case in the string.
Recommended collation
For most cases, the following collation is recommended for creating databases in Navicat:
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utf8_unicode_ci: For multilingual data and general text storage.
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utf8mb4_unicode_ci: For data containing a large number of emojis or other special characters.
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utf8_general_ci: For case-insensitive strings.
Other Notes
- Be sure to back up your data before changing the collation of an existing database.
- Different collations may affect query performance and results.
- Choosing an appropriate collation is critical to ensuring correct storage and retrieval of data.
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