Optimistic vs. Pessimistic Locking in Spring Boot & JPA
Indexing
Indexing MySQL supports several types of indexes, each designed for a specific scenario or use case. The most common types of indexes in MySQL are: B-tree Indexes: This is the most commonly used index type in MySQL, which stores data in a sorted tree structure. B-tree indexes work best for columns with high selectivity, meaning columns with a large number of unique values. B-tree indexes are suitable for queries that use comparison operators (such as =, >, <, etc.) on indexed columns. Hash Indexes: Hash indexes are designed for exact matches and work best for columns with low cardinality (few unique values). Hash indexes are faster than B-tree indexes for exact matches, but they cannot be used for range queries or partial matches. Full-Text Indexes: Full-text indexes are designed for searching large amounts of text data, such as articles or documents. Full-text indexes tokenize text data and create an index of the tokens, which allows for fast text searching. Full-text inde...
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