How to Efficiently Read from a Large SQLite Database?
Asked by
CuriousCoder42
I'm having a bit of trouble working with a large SQLite database file, which is around 10 GB. Whenever I connect to it, it seems to consume 80% of the JVM memory (24 GB). I'm looking for solutions to avoid loading the entire SQLite database into memory while still being able to retrieve the data. Additionally, what configurations should I use for a read-only scenario? I'm currently utilizing Hibernate with the Xerial JDBC driver for my connection, using the following datasource URL: jdbc:sqlite:.
Answers
Ensure that you're not opening the SQLite file incorrectly; the driver shouldn't be loading the whole database into memory just to query it. Double-check your configurations and how you're initializing your connection, as they might be causing this issue.
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If you only need read access, maybe consider alternatives. SQLite is generally great for smaller databases, but for larger datasets, you might want to look into something like SQL Server or PostgreSQL, which handle larger volumes better.
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Could you clarify your setup? Is the database hosted locally? There might be a specific query executed right at startup that's pulling in too much data. Understanding your architecture will help in giving more tailored advice.
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You could try accessing your SQLite database using Python. Just execute `python -m sqlite3 foo.db`, where `foo.db` is your SQLite file. This method could provide an alternative way to interface with the database without overloading memory.
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What’s your end goal here? Are you trying to move data to another database? Because if you’re hitting 24 GB in memory for SQLite, that’s quite excessive for any typical use case.
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