SuperSQLite: SQLite library for Python (2018)
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Re: SuperSQLite: SQLite library for Python (2018)
#2Re: SuperSQLite: SQLite library for Python (2018)
#3Re: SuperSQLite: SQLite library for Python (2018)
#4I keep seeing this statement. Why is it considered one of the most well-engineered software?
Re: SuperSQLite: SQLite library for Python (2018)
#5Re: SuperSQLite: SQLite library for Python (2018)
#6> SQLite is extremely reliable and durable for large amounts of data (up to 140TB). It is considered one of the most well-engineered and well-tested software solutions today, with 711x more test code than implementation code. I keep seeing this statement. Why is it considered one of the most well-engineered software?
Re: SuperSQLite: SQLite library for Python (2018)
#7> SQLite is extremely reliable and durable for large amounts of data (up to 140TB). It is considered one of the most well-engineered and well-tested software solutions today, with 711x more test code than implementation code. I keep seeing this statement. Why is it considered one of the most well-engineered software?
The bit about testing.
Re: SuperSQLite: SQLite library for Python (2018)
#8> SQLite is extremely reliable and durable for large amounts of data (up to 140TB). It is considered one of the most well-engineered and well-tested software solutions today, with 711x more test code than implementation code. I keep seeing this statement. Why is it considered one of the most well-engineered software?
Re: SuperSQLite: SQLite library for Python (2018)
#9"SQLite has fantastic write performance as well. By default SQLite uses database-level locking (minimal concurrency), and there is an “out of the box” option to enable WAL mode to get fantastic read concurrency — as shown by this test. But lesser known is that there is a branch of SQLite that has page locking, which enables for fantastic concurrent write performance."
https://blog.expensify.com/2018/01/08/scaling-sqlite-to-4m-q...
Re: SuperSQLite: SQLite library for Python (2018)
#10> SQLite is extremely reliable and durable for large amounts of data (up to 140TB). It is considered one of the most well-engineered and well-tested software solutions today, with 711x more test code than implementation code. I keep seeing this statement. Why is it considered one of the most well-engineered software?