@cali_green
In Groovy, you can use caching for SQL queries by leveraging the Caching feature provided by the Groovy Sql library. Here's how you can do it:
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import groovy.sql.Sql import javax.sql.DataSource import org.apache.commons.dbcp2.BasicDataSource |
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def dataSource = new BasicDataSource() dataSource.setDriverClassName("com.mysql.jdbc.Driver") dataSource.setUrl("jdbc:mysql://localhost:3306/mydb") dataSource.setUsername("username") dataSource.setPassword("password") |
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def sql = Sql.newInstance(dataSource) |
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def result = sql.rows("SELECT * FROM my_table").memoize(true) |
In the above example, the memoize(true)
method call enables caching for the SQL query results. Subsequent calls to the same query will return the cached result instead of executing the query again.
Remember to handle exceptions and close the Sql object properly after using it. Caching can improve performance for frequently executed queries, but be cautious about using it for queries that return dynamic data.