How can the reading speed from a large table be increased?

• Using indexing on frequently used fields.
• Partitioning the table by ranges or lists of values.
• Denormalizing data if read performance is critical.
• Caching frequently requested data in memory or a separate storage (Redis, Memcached).
• Query optimization: avoid SELECT *, use WHERE with indexes, minimize JOINs with large tables.
• Using a more efficient storage engine if possible (e.g., InnoDB instead of MyISAM for transactions).
• Database replication to distribute read load across multiple servers.
• Using columnar databases (e.g., ClickHouse, Cassandra) for analytical queries.

-- Example of creating an index
CREATE INDEX idx_column_name ON your_table (column_name);

-- Example of partitioning (very simplified syntax)
-- Full syntax depends on the DBMS
CREATE TABLE partitioned_table (...)
PARTITION BY RANGE (year(some_date_column)) (
    PARTITION p0 VALUES LESS THAN (2020),
    PARTITION p1 VALUES LESS THAN (2021),
    PARTITION p2 VALUES LESS THAN (MAXVALUE)
);

Method	Description
Indexing	Speeds up search on specific columns.
Partitioning	Divides the table into smaller parts.
Caching	Stores frequently used data in memory.
Replication	Distributes read load.