Files
Juan Fernandez f4ee5c6da9 Skip live-query reverse-index read when no reverse queries are active
Relates to #42441

Small-target live queries are stored in a per-host reverse index
(livequery:host:{hostID}) that QueriesForHost reads once per checkin via
SMEMBERS. That read was issued unconditionally on every host checkin —
even when no active query used the reverse model — so every checkin
probed a per-host key that did not exist and acquired an extra Redis
connection.
2026-07-13 09:53:37 -04:00

931 lines
32 KiB
Go

// Package live_query implements an interface for storing and
// retrieving live queries.
//
// # Design
//
// This package operates by storing a single redis key for host
// targeting information. This key has a known prefix, and the data
// is a bitfield representing _all_ the hosts in fleet.
//
// In this model, a live query creation is a few redis writes. While a host
// checkin needs to scan the keys stored in a set representing all active live
// queries, and then fetch the bitfield value for their id. This model fits
// very well with having a lot of hosts and very few live queries.
//
// A contrasting model, for the case of fewer hosts, but a lot of live
// queries, is to have a set per host. In this case, the LQ is pushed
// into each host's set. This model has many potential writes for LQ
// creation, but a host checkin has very few.
//
// The bitfield model fits "many hosts, few queries", but it scales poorly when
// many queries run concurrently: a host checkin must probe (GETBIT) every active
// query's bitfield, so the per-checkin cost grows with the number of queries -
// even queries that target a single host force a probe on every host. To handle
// that case, this package uses a hybrid: queries targeting at most
// smallTargetThreshold hosts are stored using the per-host set model above
// (the "reverse index"), while larger ("broadcast") queries keep the bitfield.
//
// # Implementation
//
// There are three keys for each bitfield (broadcast) live query: the bitfield,
// the SQL of the query and the set containing the IDs of all active live
// queries:
//
// livequery:<ID> is the bitfield that indicates the hosts
// sql:livequery:<ID> is the SQL of the query.
// livequery:active is the set containing the active live query IDs
//
// Both the bitfield and sql keys have an expiration, and <ID> is the campaign
// ID of the query. To make efficient use of Redis Cluster (without impacting
// standalone Redis), the <ID> is stored in braces (hash tags, e.g.
// livequery:{1} and sql:livequery:{1}), so that the two keys for the same <ID>
// are always stored on the same node (as they hash to the same cluster slot).
// See https://redis.io/topics/cluster-spec#keys-hash-tags for details.
//
// Small-target queries instead use the reverse index. There is no bitfield;
// the campaign ID is added to a per-host set for each targeted host, and the
// campaign ID is also added to a set of reverse-model queries:
//
// livequery:host:<hostID> is the set of campaign IDs targeting that host
// livequery:active:reverse is the set of campaign IDs using the reverse model
//
// The sql:livequery:<ID> and livequery:active keys are used by both models. A
// host checkin reads its own livequery:host:<hostID> set once (instead of one
// GETBIT per small-target query) and probes the bitfield only for the remaining
// broadcast queries. The per-host sets have a TTL and stale entries (campaigns
// no longer active) are filtered against the active set at read time, so they do
// not need to be removed on StopQuery.
//
// It is a noted downside that the active live queries set will necessarily
// live on a single node in cluster mode (a "hot key"), and that node will see
// increased activity due to that. Should that become a significant problem, an
// alternative approach will be required.
package live_query
import (
"context"
"errors"
"fmt"
"log/slog"
"strconv"
"strings"
"sync"
"time"
"github.com/fleetdm/fleet/v4/server/contexts/ctxerr"
"github.com/fleetdm/fleet/v4/server/datastore/redis"
"github.com/fleetdm/fleet/v4/server/fleet"
redigo "github.com/gomodule/redigo/redis"
)
const (
bitsInByte = 8
queryKeyPrefix = "livequery:"
sqlKeyPrefix = "sql:"
activeQueriesKey = "livequery:active"
activeReverseQueriesKey = "livequery:active:reverse"
reverseHostKeyPrefix = "livequery:host:"
queryExpiration = 7 * 24 * time.Hour
queryResultsCountPrefix = "query_results_count:"
)
type redisLiveQuery struct {
// connection pool
pool fleet.RedisPool
// in memory cache
cache memCache
// in memory cache expiration
cacheExpiration time.Duration
// smallTargetThreshold is the maximum number of targeted hosts for a query to
// use the per-host reverse index instead of the bitfield. A value of 0
// disables the reverse index entirely (all queries use the bitfield).
smallTargetThreshold int
logger *slog.Logger
}
// memCache is an in-memory cache for live queries. It stores the SQL of the
// queries and the active queries set. It also stores the expiration time of the
// cache.
type memCache struct {
sqlCache map[string]string
activeQueriesCache []string
// reverseActiveCache holds the campaign IDs (among the active queries) that
// use the reverse per-host index. It is used by the read path to exclude
// those queries from the per-host bitfield (GETBIT) probes.
reverseActiveCache map[string]struct{}
cacheExp time.Time
mu sync.RWMutex
}
// cacheIsExpired is a thread-safe method to check if the cache is expired.
func (r *redisLiveQuery) cacheIsExpired() bool {
r.cache.mu.RLock()
defer r.cache.mu.RUnlock()
return r.cache.cacheExp.Before(time.Now())
}
// getSQLByCampaignID is a thread-safe method to get the SQL of a live query by its
// campaign ID.
func (r *redisLiveQuery) getSQLByCampaignID(campaignID string) (string, bool) {
r.cache.mu.RLock()
defer r.cache.mu.RUnlock()
sql, found := r.cache.sqlCache[campaignID]
return sql, found
}
// isReverse is a thread-safe method that reports whether the given active
// campaign ID is stored using the reverse per-host index (rather than a
// bitfield).
func (r *redisLiveQuery) isReverse(campaignID string) bool {
r.cache.mu.RLock()
defer r.cache.mu.RUnlock()
_, found := r.cache.reverseActiveCache[campaignID]
return found
}
// hasReverseActiveQueries is a thread-safe method that reports whether any
// active query uses the reverse per-host index. It gates the per-host reverse
// read on the checkin path so that, when no reverse query is active, a checkin
// does not issue a SMEMBERS for a key that does not exist.
func (r *redisLiveQuery) hasReverseActiveQueries() bool {
r.cache.mu.RLock()
defer r.cache.mu.RUnlock()
return len(r.cache.reverseActiveCache) > 0
}
// NewRedisLiveQuery creates a new Redis implementation of the live query store
// using the provided Redis connection pool.
//
// smallTargetThreshold is the maximum number of targeted hosts for a query to
// use the reverse per-host index instead of the bitfield; a value of 0 disables
// the reverse index entirely (kill-switch), so all queries use the bitfield.
func NewRedisLiveQuery(pool fleet.RedisPool, logger *slog.Logger, memCacheExp time.Duration, smallTargetThreshold int) *redisLiveQuery {
return &redisLiveQuery{
pool: pool,
cache: newMemCache(),
cacheExpiration: memCacheExp,
smallTargetThreshold: smallTargetThreshold,
logger: logger,
}
}
func newMemCache() memCache {
return memCache{
sqlCache: make(map[string]string),
activeQueriesCache: make([]string, 0),
reverseActiveCache: make(map[string]struct{}),
}
}
// generate keys for the bitfield and sql of a query - those always go in pair
// and should live on the same cluster node when Redis Cluster is used, so
// the common part of the key (the 'name' parameter) is used as key tag.
func generateKeys(name string) (targetsKey, sqlKey string) {
keyTag := "{" + name + "}"
return queryKeyPrefix + keyTag, sqlKeyPrefix + queryKeyPrefix + keyTag
}
// returns the base name part of a target key, i.e. so that this is true:
//
// tkey, _ := generateKeys(name)
// baseName := extractTargetKeyName(tkey)
// baseName == name
func extractTargetKeyName(key string) string {
name := strings.TrimPrefix(key, queryKeyPrefix)
if len(name) > 0 && name[0] == '{' {
name = name[1:]
}
if len(name) > 0 && name[len(name)-1] == '}' {
name = name[:len(name)-1]
}
return name
}
// reverseHostKey returns the key of the per-host set that stores the campaign
// IDs of the small-target live queries targeting the given host. The host ID is
// used as the cluster hash tag so that a host's set always lives on a single
// node (the set is read on every checkin for that host).
func reverseHostKey(hostID uint) string {
return reverseHostKeyPrefix + "{" + strconv.FormatUint(uint64(hostID), 10) + "}"
}
// RunQuery stores the live query information in ephemeral storage for the
// duration of the query or its TTL. Note that hostIDs *must* be sorted
// in ascending order. The name is the campaign ID as a string.
func (r *redisLiveQuery) RunQuery(name, sql string, hostIDs []uint) error {
if len(hostIDs) == 0 {
return errors.New("no hosts targeted")
}
// Small-target queries use the per-host reverse index so that a host checkin
// does not have to probe this query's bitfield (one GETBIT per query). Large
// (broadcast) queries keep the bitfield, which is compact relative to a large
// target set and cheap to create/stop. A threshold of 0 disables the reverse
// index (no query has <= 0 targets), so all queries use the bitfield.
if len(hostIDs) <= r.smallTargetThreshold {
if err := r.storeQueryInfoReverse(name, sql, hostIDs); err != nil {
return fmt.Errorf("store reverse query info: %w", err)
}
// mark the campaign id as using the reverse model
if err := r.storeReverseQueryName(name); err != nil {
return fmt.Errorf("store reverse query name: %w", err)
}
} else {
// store the sql and targeted hosts information (bitfield)
if err := r.storeQueryInfo(name, sql, hostIDs); err != nil {
return fmt.Errorf("store query info: %w", err)
}
}
// store name (campaign id) into the active live queries set (both models)
if err := r.storeQueryNames(name); err != nil {
return fmt.Errorf("store query name: %w", err)
}
return nil
}
func (r *redisLiveQuery) StopQuery(name string) error {
// remove the sql and targeted hosts keys (DEL of the bitfield key is a no-op
// for reverse queries, which don't have one)
if err := r.removeQueryInfo(name); err != nil {
return fmt.Errorf("remove query info: %w", err)
}
// remove name (campaign id) from the livequery set
if err := r.removeQueryNames(name); err != nil {
return fmt.Errorf("remove query name: %w", err)
}
// remove from the reverse model set. The per-host sets cannot be enumerated
// by campaign, so they are left to expire via their TTL and are filtered out
// at read time against the active set. This is safe only because campaign IDs
// are monotonic (MySQL auto-increment) and never reused: a stale per-host
// membership can therefore never collide with a different, newly-active
// campaign that happens to share the same ID.
if err := r.removeReverseQueryNames(name); err != nil {
return fmt.Errorf("remove reverse query name: %w", err)
}
return nil
}
// this is a variable so it can be changed in tests
var cleanupExpiredQueriesModulo int64 = 10
func (r *redisLiveQuery) QueriesForHost(hostID uint) (map[string]string, error) {
// Get keys for active queries (this also (re)loads the in-memory cache, which
// is what isReverse below relies on).
names, err := r.LoadActiveQueryNames()
if err != nil {
return nil, fmt.Errorf("load active queries: %w", err)
}
queries := make(map[string]string)
// Broadcast queries: probe this host's bit in each query's bitfield. Reverse
// (small-target) queries are excluded here - probing them is the per-checkin
// command storm this whole change is meant to avoid.
keyNames := make([]string, 0, len(names))
for _, name := range names {
if r.isReverse(name) {
continue
}
tkey, _ := generateKeys(name)
keyNames = append(keyNames, tkey)
}
keysBySlot := redis.SplitKeysBySlot(r.pool, keyNames...)
for _, qkeys := range keysBySlot {
if err := r.collectBatchQueriesForHost(hostID, qkeys, queries); err != nil {
return nil, err
}
}
// Reverse (small-target) queries: a single read of this host's own set.
// Skip it entirely when no active query uses the reverse model.
if r.hasReverseActiveQueries() {
if err := r.collectReverseQueriesForHost(hostID, queries); err != nil {
return nil, err
}
}
return queries, nil
}
// collectReverseQueriesForHost reads the per-host reverse-index set and adds any
// still-active small-target queries targeting this host to queriesByHost. Stale
// campaign IDs (lingering in the per-host set after the query was stopped) are
// filtered out because their SQL is no longer in the cache.
func (r *redisLiveQuery) collectReverseQueriesForHost(hostID uint, queriesByHost map[string]string) error {
conn := redis.ReadOnlyConn(r.pool, r.pool.Get())
defer conn.Close()
// Stale-entry filtering below relies on the SQL cache holding only active
// queries. Refresh it on expiry here so this path stays correct on its own,
// independent of any cache (re)load done by the caller or the bitfield path
// (which is skipped when every active query is small-target).
if r.cacheIsExpired() {
if err := r.loadCache(); err != nil {
return fmt.Errorf("load cache: %w", err)
}
}
names, err := redigo.Strings(conn.Do("SMEMBERS", reverseHostKey(hostID)))
if err != nil && err != redigo.ErrNil {
return fmt.Errorf("smembers reverse host key: %w", err)
}
for _, name := range names {
// The SQL cache only holds active queries, so a missing entry means the
// campaign is no longer active (stale entry) and is skipped.
if sql, found := r.getSQLByCampaignID(name); found {
queriesByHost[name] = sql
}
}
return nil
}
func (r *redisLiveQuery) collectBatchQueriesForHost(hostID uint, queryKeys []string, queriesByHost map[string]string) error {
conn := redis.ReadOnlyConn(r.pool, r.pool.Get())
defer conn.Close()
if r.cacheIsExpired() {
if err := r.loadCache(); err != nil {
return fmt.Errorf("load cache: %w", err)
}
}
// Pipeline redis calls to check for this host in the bitfield of the
// targets of the query.
for _, key := range queryKeys {
if err := conn.Send("GETBIT", key, hostID); err != nil {
return fmt.Errorf("getbit query targets: %w", err)
}
}
// Flush calls to begin receiving results.
if err := conn.Flush(); err != nil {
return fmt.Errorf("flush pipeline: %w", err)
}
// Receive target and SQL in order of pipelined calls.
for _, key := range queryKeys {
name := extractTargetKeyName(key)
// the result of GETBIT will not fail if the key does not exist, it will
// just return 0, so it can't be used to detect if the livequery still
// exists.
targeted, err := redigo.Int(conn.Receive())
if err != nil {
return fmt.Errorf("receive target: %w", err)
}
if targeted == 1 {
if sql, found := r.getSQLByCampaignID(name); found {
queriesByHost[name] = sql
} else {
r.logger.WarnContext(context.TODO(), "live query not found in cache", "name", name)
}
}
}
return nil
}
func (r *redisLiveQuery) QueryCompletedByHost(name string, hostID uint) error {
conn := redis.ConfigureDoer(r.pool, r.pool.Get())
defer conn.Close()
// Clear completion in both models without depending on which one this query
// uses: exactly one of these has an effect, the other is a harmless no-op
// (SREM on an absent member, and the guarded SETBIT below on an absent key).
// This avoids relying on a possibly-stale cache to pick the model, where a
// wrong guess would leave the host still receiving the query.
if _, err := conn.Do("SREM", reverseHostKey(hostID), name); err != nil {
return fmt.Errorf("srem reverse host key: %w", err)
}
targetKey, _ := generateKeys(name)
// Update the bitfield for this host only if the key exists.
// If the key doesn't exist (e.g. query marked as completed or cancelled)
// then we don't want to call SETBIT because it will create a new
// key (that won't expire and linger "forever").
const setBitScript = `
if redis.call('EXISTS', KEYS[1]) == 1 then
return redis.call('SETBIT', KEYS[1], ARGV[1], ARGV[2])
else
return nil
end`
if _, err := conn.Do("EVAL", setBitScript, 1, targetKey, hostID, 0); err != nil {
return fmt.Errorf("setbit query key: %w", err)
}
// NOTE(mna): we could remove the query here if all bits are now off, meaning
// that all hosts have completed this query, but the BITCOUNT command can be
// costly on large strings and we will have quite large ones. This should not be
// needed anyway as StopQuery appears to be called every time a campaign is
// run (see svc.CompleteCampaign).
return nil
}
func (r *redisLiveQuery) storeQueryInfo(name, sql string, hostIDs []uint) error {
conn := r.pool.Get()
defer conn.Close()
// Map the targeted host IDs to a bitfield. Store targets in one key and SQL
// in another.
targetKey, sqlKey := generateKeys(name)
targets := mapBitfield(hostIDs)
// Ensure to set SQL first or else we can end up in a weird state in which a
// client reads that the query exists but cannot look up the SQL.
err := conn.Send("SET", sqlKey, sql, "EX", queryExpiration.Seconds())
if err != nil {
return fmt.Errorf("set sql: %w", err)
}
_, err = conn.Do("SET", targetKey, targets, "EX", queryExpiration.Seconds())
if err != nil {
return fmt.Errorf("set targets: %w", err)
}
return nil
}
// storeQueryInfoReverse stores the SQL of the query and adds the campaign id to
// the per-host set of every targeted host (the reverse index). The per-host
// sets are given a TTL so that orphaned entries (e.g. if StopQuery is missed)
// eventually expire; they are also filtered against the active set at read time.
func (r *redisLiveQuery) storeQueryInfoReverse(name, sql string, hostIDs []uint) error {
// Store the SQL first, so a host never sees the query as targeted before its
// SQL can be looked up (same ordering guarantee as the bitfield path).
_, sqlKey := generateKeys(name)
conn := redis.ConfigureDoer(r.pool, r.pool.Get())
if _, err := conn.Do("SET", sqlKey, sql, "EX", queryExpiration.Seconds()); err != nil {
conn.Close()
return fmt.Errorf("set sql: %w", err)
}
conn.Close()
// Add the campaign id to each targeted host's set, pipelined per cluster slot.
hostKeys := make([]string, len(hostIDs))
for i, hostID := range hostIDs {
hostKeys[i] = reverseHostKey(hostID)
}
keysBySlot := redis.SplitKeysBySlot(r.pool, hostKeys...)
for _, keys := range keysBySlot {
if err := r.storeBatchReverseHostKeys(name, keys); err != nil {
return err
}
}
return nil
}
func (r *redisLiveQuery) storeBatchReverseHostKeys(name string, hostKeys []string) error {
conn := r.pool.Get()
defer conn.Close()
for _, hostKey := range hostKeys {
if err := conn.Send("SADD", hostKey, name); err != nil {
return fmt.Errorf("sadd reverse host key: %w", err)
}
if err := conn.Send("EXPIRE", hostKey, int(queryExpiration.Seconds())); err != nil {
return fmt.Errorf("expire reverse host key: %w", err)
}
}
if err := conn.Flush(); err != nil {
return fmt.Errorf("flush pipeline: %w", err)
}
// drain replies (2 per host key) to complete the pipeline
for range hostKeys {
if _, err := conn.Receive(); err != nil {
return fmt.Errorf("receive sadd reply: %w", err)
}
if _, err := conn.Receive(); err != nil {
return fmt.Errorf("receive expire reply: %w", err)
}
}
return nil
}
func (r *redisLiveQuery) storeReverseQueryName(name string) error {
conn := redis.ConfigureDoer(r.pool, r.pool.Get())
defer conn.Close()
_, err := conn.Do("SADD", activeReverseQueriesKey, name)
return err
}
func (r *redisLiveQuery) removeReverseQueryNames(names ...string) error {
conn := redis.ConfigureDoer(r.pool, r.pool.Get())
defer conn.Close()
var args redigo.Args
args = args.Add(activeReverseQueriesKey)
args = args.AddFlat(names)
_, err := conn.Do("SREM", args...)
return err
}
func (r *redisLiveQuery) storeQueryNames(names ...string) error {
conn := redis.ConfigureDoer(r.pool, r.pool.Get())
defer conn.Close()
var args redigo.Args
args = args.Add(activeQueriesKey)
args = args.AddFlat(names)
_, err := conn.Do("SADD", args...)
return err
}
func (r *redisLiveQuery) removeQueryInfo(name string) error {
conn := redis.ConfigureDoer(r.pool, r.pool.Get())
defer conn.Close()
targetKey, sqlKey := generateKeys(name)
if _, err := conn.Do("DEL", targetKey, sqlKey); err != nil {
return fmt.Errorf("del query keys: %w", err)
}
return nil
}
func (r *redisLiveQuery) removeQueryNames(names ...string) error {
conn := redis.ConfigureDoer(r.pool, r.pool.Get())
defer conn.Close()
var args redigo.Args
args = args.Add(activeQueriesKey)
args = args.AddFlat(names)
_, err := conn.Do("SREM", args...)
return err
}
func (r *redisLiveQuery) LoadActiveQueryNames() ([]string, error) {
// copyActiveQueries returns a copy of the active queries cache to
// ensure thread safety.
copyActiveQueries := func() []string {
r.cache.mu.RLock()
defer r.cache.mu.RUnlock()
names := make([]string, len(r.cache.activeQueriesCache))
copy(names, r.cache.activeQueriesCache)
return names
}
if !r.cacheIsExpired() {
return copyActiveQueries(), nil
}
if err := r.loadCache(); err != nil {
return nil, fmt.Errorf("load cache: %w", err)
}
return copyActiveQueries(), nil
}
func (r *redisLiveQuery) loadCache() error {
expiredQueries := make(map[string]struct{})
sqlCache := make(map[string]string)
conn := redis.ConfigureDoer(r.pool, r.pool.Get())
defer conn.Close()
activeIDs, err := redigo.Strings(conn.Do("SMEMBERS", activeQueriesKey))
if err != nil && err != redigo.ErrNil {
return fmt.Errorf("get active queries: %w", err)
}
// Load which active campaigns use the reverse per-host index, so the read
// path can exclude them from the per-host bitfield (GETBIT) probes.
reverseIDs, err := redigo.Strings(conn.Do("SMEMBERS", activeReverseQueriesKey))
if err != nil && err != redigo.ErrNil {
return fmt.Errorf("get reverse active queries: %w", err)
}
reverseActive := make(map[string]struct{}, len(reverseIDs))
for _, id := range reverseIDs {
reverseActive[id] = struct{}{}
}
for _, id := range activeIDs {
_, sqlKey := generateKeys(id)
sql, err := redigo.String(conn.Do("GET", sqlKey))
if err != nil {
if err != redigo.ErrNil {
return fmt.Errorf("get query sql: %w", err)
}
// It is possible the livequery key has expired but was still in the set
// - handle this gracefully by collecting the keys to remove them from
// the set and keep going.
expiredQueries[id] = struct{}{}
continue
}
sqlCache[id] = sql
}
// remove expired queries from the names list
if len(expiredQueries) > 0 {
trimmedIDs := make([]string, 0, len(activeIDs)-len(expiredQueries))
for _, name := range activeIDs {
if _, found := expiredQueries[name]; !found {
trimmedIDs = append(trimmedIDs, name)
}
}
activeIDs = trimmedIDs
}
r.cache.mu.Lock()
r.cache.sqlCache = sqlCache
r.cache.activeQueriesCache = activeIDs
r.cache.reverseActiveCache = reverseActive
r.cache.cacheExp = time.Now().Add(r.cacheExpiration)
r.cache.mu.Unlock()
if len(expiredQueries) > 0 {
// a certain percentage of the time so that we don't overwhelm redis with a
// bunch of similar deletion commands at the same time, clean up the
// expired queries.
if time.Now().UnixNano()%cleanupExpiredQueriesModulo == 0 {
names := make([]string, 0, len(expiredQueries))
for k := range expiredQueries {
names = append(names, k)
}
go func() {
err = r.removeQueryNames(names...)
if err != nil {
r.logger.WarnContext(context.TODO(), "removing expired live queries", "err", err)
}
}()
}
}
return nil
}
func (r *redisLiveQuery) CleanupInactiveQueries(ctx context.Context, inactiveCampaignIDs []uint) error {
// the following logic is used to cleanup inactive queries:
// * the inactive campaign IDs are removed from the livequery:active set
//
// At this point, all inactive queries are already effectively deleted - the
// rest is just best effort cleanup to save Redis memory space, but those
// keys would otherwise be ignored and without effect.
//
// * remove the livequery:<ID> and sql:livequery:<ID> for every inactive
// campaign ID.
if len(inactiveCampaignIDs) == 0 {
return nil
}
if err := r.removeInactiveQueries(ctx, inactiveCampaignIDs); err != nil {
return err
}
keysToDel := make([]string, 0, len(inactiveCampaignIDs)*2)
for _, id := range inactiveCampaignIDs {
targetKey, sqlKey := generateKeys(strconv.FormatUint(uint64(id), 10))
keysToDel = append(keysToDel, targetKey, sqlKey)
}
keysBySlot := redis.SplitKeysBySlot(r.pool, keysToDel...)
for _, keys := range keysBySlot {
if err := r.removeBatchInactiveKeys(ctx, keys); err != nil {
return err
}
}
return nil
}
func (r *redisLiveQuery) removeBatchInactiveKeys(ctx context.Context, keys []string) error {
conn := r.pool.Get()
defer conn.Close()
args := redigo.Args{}.AddFlat(keys)
if _, err := conn.Do("DEL", args...); err != nil {
return ctxerr.Wrap(ctx, err, "remove batch of inactive keys")
}
return nil
}
func (r *redisLiveQuery) removeInactiveQueries(ctx context.Context, inactiveCampaignIDs []uint) error {
conn := r.pool.Get()
defer conn.Close()
args := redigo.Args{}.Add(activeQueriesKey).AddFlat(inactiveCampaignIDs)
if _, err := conn.Do("SREM", args...); err != nil {
return ctxerr.Wrap(ctx, err, "remove inactive campaign IDs")
}
// Also remove from the reverse model set. The per-host sets are left to expire
// via their TTL and are filtered against the active set at read time.
reverseArgs := redigo.Args{}.Add(activeReverseQueriesKey).AddFlat(inactiveCampaignIDs)
if _, err := conn.Do("SREM", reverseArgs...); err != nil {
return ctxerr.Wrap(ctx, err, "remove inactive reverse campaign IDs")
}
return nil
}
// mapBitfield takes the given host IDs and maps them into a bitfield compatible
// with Redis. It is expected that the input IDs are in ascending order.
func mapBitfield(hostIDs []uint) []byte {
if len(hostIDs) == 0 {
return []byte{}
}
// NOTE(mna): note that this is efficient storage if the host IDs are mostly
// sequential and starting from 1, e.g. as in a newly created database. If
// there's substantial churn in hosts (e.g. some are coming on and off) or
// for some reason the auto_increment had to be bumped (e.g. it increments
// with failed inserts, even if there's an "on duplicate" clause), then it
// could get quite inefficient. If the id gets, say, to 10M then the bitfield
// will take over 1MB (10M bytes / 8 bits), regardless of the number of hosts
// - at which point it could start to be more interesting to store a set of
// host IDs (even though the members of a SET are stored as strings so the
// storage bytes depends on the length of the string representation).
//
// Running the following in Redis v6.2.6 (using i+100000 so that IDs reflect
// the high numbers and take the corresponding number of storage bytes):
//
// > eval 'for i=1, 100000 do redis.call("sadd", KEYS[1], i+100000) end' 1 myset
// > memory usage myset
// (integer) 4248715
//
// So it would take a bit under 4MB to store ALL 100K host IDs, obviously
// less to store a subset of those. On the other hand, the large bitfield
// usage of memory would be true even if there was only one host selected in
// the query, should that host be one of the high IDs. Something to keep in
// mind if at some point we have reports of unexpectedly large redis memory
// usage, as that storage is repeated for each live query.
// As the input IDs are in ascending order, we get two optimizations here:
// 1. We can calculate the length of the bitfield necessary by using the
// last ID in the slice. Then we allocate the slice all at once.
// 2. We benefit from accessing the elements of the slice in order,
// potentially making more effective use of the processor cache.
byteLen := hostIDs[len(hostIDs)-1]/bitsInByte + 1
field := make([]byte, byteLen)
for _, id := range hostIDs {
byteIndex := id / bitsInByte
bitIndex := bitsInByte - (id % bitsInByte) - 1
field[byteIndex] |= 1 << bitIndex
}
return field
}
func queryResultsCountKey(queryID uint) string {
return fmt.Sprintf("%s%d", queryResultsCountPrefix, queryID)
}
// GetQueryResultsCounts returns the current count of query results for multiple queries.
// Returns a map of query ID -> count. Missing keys are returned with a count of 0.
func (r *redisLiveQuery) GetQueryResultsCounts(queryIDs []uint) (map[uint]int, error) {
if len(queryIDs) == 0 {
return make(map[uint]int), nil
}
// The query_results_count keys have no hash tag, so they may live on
// different slots in a Redis Cluster. Group them by slot so that each
// pipelined request only touches keys that hash to the same slot, avoiding
// MOVED redirects.
keys := make([]string, 0, len(queryIDs))
keyToID := make(map[string]uint, len(queryIDs))
for _, queryID := range queryIDs {
key := queryResultsCountKey(queryID)
keys = append(keys, key)
keyToID[key] = queryID
}
results := make(map[uint]int, len(queryIDs))
for _, slotKeys := range redis.SplitKeysBySlot(r.pool, keys...) {
if err := r.collectBatchResultsCounts(slotKeys, keyToID, results); err != nil {
return nil, err
}
}
return results, nil
}
func (r *redisLiveQuery) collectBatchResultsCounts(keys []string, keyToID map[string]uint, results map[uint]int) error {
conn := redis.ReadOnlyConn(r.pool, r.pool.Get())
defer conn.Close()
// Pipeline GET requests for all keys in this slot.
for _, key := range keys {
if err := conn.Send("GET", key); err != nil {
return fmt.Errorf("send get query results count: %w", err)
}
}
if err := conn.Flush(); err != nil {
return fmt.Errorf("flush pipeline: %w", err)
}
// Receive results in order and build the map.
for _, key := range keys {
count, err := redigo.Int(conn.Receive())
if err != nil {
if err == redigo.ErrNil {
results[keyToID[key]] = 0
continue
}
return fmt.Errorf("receive query results count: %w", err)
}
results[keyToID[key]] = count
}
return nil
}
// IncrQueryResultsCounts increments the query results counts by the given amounts.
// Takes a map of query ID -> amount to increment.
func (r *redisLiveQuery) IncrQueryResultsCounts(queryIDsToAmounts map[uint]int) error {
if len(queryIDsToAmounts) == 0 {
return nil
}
// The query_results_count keys have no hash tag, so they may live on
// different slots in a Redis Cluster. Group them by slot so that each
// pipelined request only touches keys that hash to the same slot, avoiding
// MOVED redirects.
keys := make([]string, 0, len(queryIDsToAmounts))
amountByKey := make(map[string]int, len(queryIDsToAmounts))
for queryID, amount := range queryIDsToAmounts {
key := queryResultsCountKey(queryID)
keys = append(keys, key)
amountByKey[key] = amount
}
for _, slotKeys := range redis.SplitKeysBySlot(r.pool, keys...) {
if err := r.incrBatchResultsCounts(slotKeys, amountByKey); err != nil {
return err
}
}
return nil
}
func (r *redisLiveQuery) incrBatchResultsCounts(keys []string, amountByKey map[string]int) error {
// Use a plain connection rather than redis.ConfigureDoer: the latter wraps
// the connection in a redisc.RetryConn, whose Send method is unsupported, so
// the pipeline below would fail. All keys in this batch hash to the same
// slot, so no redirection handling is needed.
conn := r.pool.Get()
defer conn.Close()
// Pipeline INCRBY requests for all keys in this slot.
for _, key := range keys {
if err := conn.Send("INCRBY", key, amountByKey[key]); err != nil {
return fmt.Errorf("send incrby query results count: %w", err)
}
}
if err := conn.Flush(); err != nil {
return fmt.Errorf("flush pipeline: %w", err)
}
// Receive all results to complete the pipeline (we don't need the values).
for range keys {
if _, err := conn.Receive(); err != nil {
return fmt.Errorf("receive incrby result: %w", err)
}
}
return nil
}
// SetQueryResultsCount sets the query results count for a query to a specific value.
// Used to reset counts to zero when a query is modified, or to adjust the count
// in the cleanup cron job after deleting excess rows.
func (r *redisLiveQuery) SetQueryResultsCount(queryID uint, count int) error {
conn := redis.ConfigureDoer(r.pool, r.pool.Get())
defer conn.Close()
key := queryResultsCountKey(queryID)
if _, err := conn.Do("SET", key, count); err != nil {
return fmt.Errorf("set query results count: %w", err)
}
return nil
}
// DeleteQueryResultsCount deletes the query results count for a query.
// Used when deleting a query, to remove the Redis key.
func (r *redisLiveQuery) DeleteQueryResultsCount(queryID uint) error {
conn := redis.ConfigureDoer(r.pool, r.pool.Get())
defer conn.Close()
key := queryResultsCountKey(queryID)
if _, err := conn.Do("DEL", key); err != nil {
return fmt.Errorf("delete query results count: %w", err)
}
return nil
}