advantages over SQLite: Higher transactions-per-second in multi-threaded environments. Built-in replication and hot backup. Fewer system calls, less resource utilization. Multi-version concurrency control

advantages over SQLite: • Higher transactions-per-second in multi-threaded environments. • Built-in replication and hot backup. • Fewer system calls, less resource utilization. • Multi-version concurrency

databases) configuration described is also flawed – it doesn’t provide any solution for handling replication lag (i.e., query inconsistencies introduced because of the time taken for a write to propagate master/slave by some databases) replication, this strategy of creating test databases poses a problem. When the test databases are created, there won’t be any replication, and as a result, data created replica. If Django created two independent test databases, this would break any tests that expected replication to occur. How- ever, the replica database has been configured as a test mirror (using the MIRROR

databases) configuration described is also flawed – it doesn’t provide any solution for handling replication lag (i.e., query inconsistencies introduced because of the time taken for a write to propagate master/slave by some databases) replication, this strategy of creating test databases poses a problem. When the test databases are created, there won’t be any replication, and as a result, data created replica. If Django created two independent test databases, this would break any tests that expected replication to occur. However, the replica database has been configured as a test mirror (using the MIRROR

databases) configuration described is also flawed – it doesn’t provide any solution for handling replication lag (i.e., query inconsistencies introduced because of the time taken for a write to propagate master/slave by some databases) replication, this strategy of creating test databases poses a problem. When the test databases are created, there won’t be any replication, and as a result, data created replica. If Django created two independent test databases, this would break any tests that expected replication to occur. However, the replica database has been configured as a test mirror (using the MIRROR

databases) configuration described is also flawed – it doesn’t provide any solution for handling replication lag (i.e., query inconsistencies introduced because of the time taken for a write to propagate master/slave by some databases) replication, this strategy of creating test databases poses a problem. When the test databases are created, there won’t be any replication, and as a result, data created replica. If Django created two independent test databases, this would break any tests that expected replication to occur. However, the replica database has been configured as a test mirror (using the MIRROR

databases) configuration described is also flawed – it doesn’t provide any solution for handling replication lag (i.e., query inconsistencies introduced because of the time taken for a write to propagate master/slave by some databases) replication, this strategy of creating test databases poses a problem. When the test databases are created, there won’t be any replication, and as a result, data created replica. If Django created two independent test databases, this would break any tests that expected replication to occur. However, the replica database has been configured as a test mirror (using the MIRROR

databases) configuration described is also flawed – it doesn’t provide any solution for handling replication lag (i.e., query inconsistencies introduced because of the time taken for a write to propagate master/slave by some databases) replication, this strategy of creating test databases poses a problem. When the test databases are created, there won’t be any replication, and as a result, data created replica. If Django created two independent test databases, this would break any tests that expected replication to occur. However, the replica database has been configured as a test mirror (using the MIRROR

databases) configuration described is also flawed – it doesn’t provide any solution for handling replication lag (i.e., query inconsistencies introduced because of the time taken for a write to propagate master/slave by some databases) replication, this strategy of creating test databases poses a problem. When the test databases are created, there won’t be any replication, and as a result, data created replica. If Django created two independent test databases, this would break any tests that expected replication to occur. How- ever, the replica database has been configured as a test mirror (using the MIRROR

databases) configuration described is also flawed – it doesn’t provide any solution for handling replication lag (i.e., query inconsistencies introduced because of the time taken for a write to propagate master/slave by some databases) replication, this strategy of creating test databases poses a problem. When the test databases are created, there won’t be any replication, and as a result, data created replica. If Django created two independent test databases, this would break any tests that expected replication to occur. How- ever, the replica database has been configured as a test mirror (using the MIRROR