模式切换
i→ Insert 模式，按ESC回到 Normal 模式
【MySQL】EXPLAIN 使用
EXPLAIN
The EXPLAIN statement provides information about how MySQL executes statements. EXPLAIN works with SELECT, DELETE, INSERT, REPLACE, and UPDATE statements.
EXPLAIN returns a row of information for each table used in the SELECT statement. It lists the tables in the output in the order that MySQL would read them while processing the statement. MySQL resolves all joins using a nested-loop join method. This means that MySQL reads a row from the first table, and then finds a matching row in the second table, the third table, and so on. When all tables are processed, MySQL outputs the selected columns and backtracks through the table list until a table is found for which there are more matching rows. The next row is read from this table and the process continues with the next table.
【Golang】性能调优 - trace
Tracing
trace工具可以看到GC被执行的次数和每次执行的时长
Tracing is a way to instrument code to analyze latency throughout the lifecycle of a chain of calls. Go provides golang.org/x/net/trace package as a minimal tracing backend per Go node and provides a minimal instrumentation library with a simple dashboard. Go also provides an execution tracer to trace the runtime events within an interval.
Tracing enables us to:
- Instrument and analyze application latency in a Go process.
- Measure the cost of specific calls in a long chain of calls.
- Figure out the utilization and performance improvements. Bottlenecks are not always obvious without tracing data.
