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Use approximate memory usage for QueueInfo
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@ -16,6 +16,11 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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### Changed
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- Changed `Queue` function to not to convert the provided queue name to lowercase. Queue names are now case-sensitive.
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- `QueueInfo.MemoryUsage` is now an approximate usage value.
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### Fixed
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- Fixed latency issue around memory usage (see https://github.com/hibiken/asynq/issues/309).
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## [0.18.1] - 2020-07-04
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@ -50,6 +50,7 @@ type QueueInfo struct {
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Queue string
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// Total number of bytes that the queue and its tasks require to be stored in redis.
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// It is an approximate memory usage value in bytes since the value is computed by sampling.
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MemoryUsage int64
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// Size is the total number of tasks in the queue.
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@ -26,7 +26,8 @@ type Stats struct {
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// Name of the queue (e.g. "default", "critical").
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Queue string
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// MemoryUsage is the total number of bytes the queue and its tasks require
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// to be stored in redis.
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// to be stored in redis. It is an approximate memory usage value in bytes
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// since the value is computed by sampling.
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MemoryUsage int64
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// Paused indicates whether the queue is paused.
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// If true, tasks in the queue should not be processed.
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@ -172,31 +173,82 @@ func (r *RDB) CurrentStats(qname string) (*Stats, error) {
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return stats, nil
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}
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// Computes memory usage for the given queue by sampling tasks
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// from each redis list/zset. Returns approximate memory usage value
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// in bytes.
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//
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// KEYS[1] -> asynq:{qname}:active
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// KEYS[2] -> asynq:{qname}:pending
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// KEYS[3] -> asynq:{qname}:scheduled
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// KEYS[4] -> asynq:{qname}:retry
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// KEYS[5] -> asynq:{qname}:archived
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//
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// ARGV[1] -> asynq:{qname}:t:
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// ARGV[2] -> sample_size (e.g 20)
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var memoryUsageCmd = redis.NewScript(`
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local sample_size = tonumber(ARGV[2])
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if sample_size <= 0 then
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return redis.error_reply("sample size must be a positive number")
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end
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local memusg = 0
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for i=1,2 do
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local ids = redis.call("LRANGE", KEYS[i], 0, sample_size - 1)
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local sample_total = 0
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if (table.getn(ids) > 0) then
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for _, id in ipairs(ids) do
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local bytes = redis.call("MEMORY", "USAGE", ARGV[1] .. id)
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sample_total = sample_total + bytes
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end
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local n = redis.call("LLEN", KEYS[i])
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local avg = sample_total / table.getn(ids)
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memusg = memusg + (avg * n)
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end
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local m = redis.call("MEMORY", "USAGE", KEYS[i])
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if (m) then
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memusg = memusg + m
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end
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end
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for i=3,5 do
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local ids = redis.call("ZRANGE", KEYS[i], 0, sample_size - 1)
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local sample_total = 0
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if (table.getn(ids) > 0) then
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for _, id in ipairs(ids) do
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local bytes = redis.call("MEMORY", "USAGE", ARGV[1] .. id)
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sample_total = sample_total + bytes
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end
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local n = redis.call("ZCARD", KEYS[i])
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local avg = sample_total / table.getn(ids)
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memusg = memusg + (avg * n)
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end
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local m = redis.call("MEMORY", "USAGE", KEYS[i])
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if (m) then
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memusg = memusg + m
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end
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end
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return memusg
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`)
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func (r *RDB) memoryUsage(qname string) (int64, error) {
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var op errors.Op = "rdb.memoryUsage"
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var (
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keys []string
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data []string
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cursor uint64
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err error
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)
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for {
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data, cursor, err = r.client.Scan(cursor, fmt.Sprintf("asynq:{%s}*", qname), 100).Result()
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if err != nil {
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return 0, errors.E(op, errors.Unknown, &errors.RedisCommandError{Command: "scan", Err: err})
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}
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keys = append(keys, data...)
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if cursor == 0 {
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break
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}
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const sampleSize = 20
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keys := []string{
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base.ActiveKey(qname),
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base.PendingKey(qname),
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base.ScheduledKey(qname),
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base.RetryKey(qname),
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base.ArchivedKey(qname),
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}
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var usg int64
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for _, k := range keys {
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n, err := r.client.MemoryUsage(k).Result()
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if err != nil {
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return 0, errors.E(op, errors.Unknown, &errors.RedisCommandError{Command: "memory usage", Err: err})
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}
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usg += n
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argv := []interface{}{
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base.TaskKeyPrefix(qname),
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sampleSize,
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}
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res, err := memoryUsageCmd.Run(r.client, keys, argv...).Result()
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if err != nil {
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return 0, errors.E(op, errors.Unknown, fmt.Sprintf("redis eval error: %v", err))
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}
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usg, err := cast.ToInt64E(res)
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if err != nil {
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return 0, errors.E(op, errors.Internal, fmt.Sprintf("could not cast script return value to int64"))
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}
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return usg, nil
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}
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