tidb inspection_result 源码
tidb inspection_result 代码
文件路径：/executor/inspection_result.go
// Copyright 2019 PingCAP, Inc.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package executor
import (
"context"
"fmt"
"math"
"strconv"
"strings"
"github.com/pingcap/errors"
"github.com/pingcap/failpoint"
"github.com/pingcap/tidb/infoschema"
"github.com/pingcap/tidb/kv"
plannercore "github.com/pingcap/tidb/planner/core"
"github.com/pingcap/tidb/sessionctx"
"github.com/pingcap/tidb/sessionctx/variable"
"github.com/pingcap/tidb/types"
"github.com/pingcap/tidb/util"
"github.com/pingcap/tidb/util/chunk"
"github.com/pingcap/tidb/util/set"
"github.com/pingcap/tidb/util/size"
"github.com/pingcap/tidb/util/sqlexec"
"golang.org/x/exp/slices"
)
type (
// inspectionResult represents a abnormal diagnosis result
inspectionResult struct {
tp string
instance string
statusAddress string
// represents the diagnostics item, e.g: `ddl.lease` `raftstore.cpuusage`
item string
// diagnosis result value base on current cluster status
actual string
expected string
severity string
detail string
// degree only used for sort.
degree float64
}
inspectionName string
inspectionFilter struct {
set set.StringSet
timeRange plannercore.QueryTimeRange
}
inspectionRule interface {
name() string
inspect(ctx context.Context, sctx sessionctx.Context, filter inspectionFilter) []inspectionResult
}
)
func (n inspectionName) name() string {
return string(n)
}
func (f inspectionFilter) enable(name string) bool {
return len(f.set) == 0 || f.set.Exist(name)
}
type (
// configInspection is used to check whether a same configuration item has a
// different value between different instance in the cluster
configInspection struct{ inspectionName }
// versionInspection is used to check whether the same component has different
// version in the cluster
versionInspection struct{ inspectionName }
// nodeLoadInspection is used to check the node load of memory/disk/cpu
// have reached a high-level threshold
nodeLoadInspection struct{ inspectionName }
// criticalErrorInspection is used to check are there some critical errors
// occurred in the past
criticalErrorInspection struct{ inspectionName }
// thresholdCheckInspection is used to check some threshold value, like CPU usage, leader count change.
thresholdCheckInspection struct{ inspectionName }
)
var inspectionRules = []inspectionRule{
&configInspection{inspectionName: "config"},
&versionInspection{inspectionName: "version"},
&nodeLoadInspection{inspectionName: "node-load"},
&criticalErrorInspection{inspectionName: "critical-error"},
&thresholdCheckInspection{inspectionName: "threshold-check"},
}
type inspectionResultRetriever struct {
dummyCloser
retrieved bool
extractor *plannercore.InspectionResultTableExtractor
timeRange plannercore.QueryTimeRange
instanceToStatusAddress map[string]string
statusToInstanceAddress map[string]string
}
func (e *inspectionResultRetriever) retrieve(ctx context.Context, sctx sessionctx.Context) ([][]types.Datum, error) {
if e.retrieved || e.extractor.SkipInspection {
return nil, nil
}
e.retrieved = true
ctx = kv.WithInternalSourceType(ctx, kv.InternalTxnMeta)
// Some data of cluster-level memory tables will be retrieved many times in different inspection rules,
// and the cost of retrieving some data is expensive. We use the `TableSnapshot` to cache those data
// and obtain them lazily, and provide a consistent view of inspection tables for each inspection rules.
// All cached snapshots should be released at the end of retrieving.
sctx.GetSessionVars().InspectionTableCache = map[string]variable.TableSnapshot{}
defer func() { sctx.GetSessionVars().InspectionTableCache = nil }()
failpoint.InjectContext(ctx, "mockMergeMockInspectionTables", func() {
// Merge mock snapshots injected from failpoint for test purpose
mockTables, ok := ctx.Value("__mockInspectionTables").(map[string]variable.TableSnapshot)
if ok {
for name, snap := range mockTables {
sctx.GetSessionVars().InspectionTableCache[strings.ToLower(name)] = snap
}
}
})
if e.instanceToStatusAddress == nil {
// Get cluster info.
e.instanceToStatusAddress = make(map[string]string)
e.statusToInstanceAddress = make(map[string]string)
var rows []chunk.Row
exec := sctx.(sqlexec.RestrictedSQLExecutor)
rows, _, err := exec.ExecRestrictedSQL(ctx, nil, "select instance,status_address from information_schema.cluster_info;")
if err != nil {
sctx.GetSessionVars().StmtCtx.AppendWarning(fmt.Errorf("get cluster info failed: %v", err))
}
for _, row := range rows {
if row.Len() < 2 {
continue
}
e.instanceToStatusAddress[row.GetString(0)] = row.GetString(1)
e.statusToInstanceAddress[row.GetString(1)] = row.GetString(0)
}
}
rules := inspectionFilter{set: e.extractor.Rules}
items := inspectionFilter{set: e.extractor.Items, timeRange: e.timeRange}
var finalRows [][]types.Datum
for _, r := range inspectionRules {
name := r.name()
if !rules.enable(name) {
continue
}
results := r.inspect(ctx, sctx, items)
if len(results) == 0 {
continue
}
// make result stable
slices.SortFunc(results, func(i, j inspectionResult) bool {
if i.degree != j.degree {
return i.degree > j.degree
}
if lhs, rhs := i.item, j.item; lhs != rhs {
return lhs < rhs
}
if i.actual != j.actual {
return i.actual < j.actual
}
if lhs, rhs := i.tp, j.tp; lhs != rhs {
return lhs < rhs
}
return i.instance < j.instance
})
for _, result := range results {
if len(result.instance) == 0 {
result.instance = e.statusToInstanceAddress[result.statusAddress]
}
if len(result.statusAddress) == 0 {
result.statusAddress = e.instanceToStatusAddress[result.instance]
}
finalRows = append(finalRows, types.MakeDatums(
name,
result.item,
result.tp,
result.instance,
result.statusAddress,
result.actual,
result.expected,
result.severity,
result.detail,
))
}
}
return finalRows, nil
}
func (c configInspection) inspect(ctx context.Context, sctx sessionctx.Context, filter inspectionFilter) []inspectionResult {
var results []inspectionResult
results = append(results, c.inspectDiffConfig(ctx, sctx, filter)...)
results = append(results, c.inspectCheckConfig(ctx, sctx, filter)...)
return results
}
func (configInspection) inspectDiffConfig(ctx context.Context, sctx sessionctx.Context, filter inspectionFilter) []inspectionResult {
// check the configuration consistent
ignoreConfigKey := []string{
// TiDB
"port",
"status.status-port",
"host",
"path",
"advertise-address",
"status.status-port",
"log.file.filename",
"log.slow-query-file",
"tmp-storage-path",
// PD
"advertise-client-urls",
"advertise-peer-urls",
"client-urls",
"data-dir",
"log-file",
"log.file.filename",
"metric.job",
"name",
"peer-urls",
// TiKV
"server.addr",
"server.advertise-addr",
"server.advertise-status-addr",
"server.status-addr",
"log-file",
"raftstore.raftdb-path",
"storage.data-dir",
"storage.block-cache.capacity",
}
exec := sctx.(sqlexec.RestrictedSQLExecutor)
rows, _, err := exec.ExecRestrictedSQL(ctx, nil, "select type, `key`, count(distinct value) as c from information_schema.cluster_config where `key` not in (%?) group by type, `key` having c > 1", ignoreConfigKey)
if err != nil {
sctx.GetSessionVars().StmtCtx.AppendWarning(fmt.Errorf("check configuration consistency failed: %v", err))
}
generateDetail := func(tp, item string) string {
rows, _, err := exec.ExecRestrictedSQL(ctx, nil, "select value, instance from information_schema.cluster_config where type=%? and `key`=%?;", tp, item)
if err != nil {
sctx.GetSessionVars().StmtCtx.AppendWarning(fmt.Errorf("check configuration consistency failed: %v", err))
return fmt.Sprintf("the cluster has different config value of %[2]s, execute the sql to see more detail: select * from information_schema.cluster_config where type='%[1]s' and `key`='%[2]s'",
tp, item)
}
m := make(map[string][]string)
for _, row := range rows {
value := row.GetString(0)
instance := row.GetString(1)
m[value] = append(m[value], instance)
}
groups := make([]string, 0, len(m))
for k, v := range m {
slices.Sort(v)
groups = append(groups, fmt.Sprintf("%s config value is %s", strings.Join(v, ","), k))
}
slices.Sort(groups)
return strings.Join(groups, "\n")
}
var results []inspectionResult
for _, row := range rows {
if filter.enable(row.GetString(1)) {
detail := generateDetail(row.GetString(0), row.GetString(1))
results = append(results, inspectionResult{
tp: row.GetString(0),
instance: "",
item: row.GetString(1), // key
actual: "inconsistent",
expected: "consistent",
severity: "warning",
detail: detail,
})
}
}
return results
}
func (c configInspection) inspectCheckConfig(ctx context.Context, sctx sessionctx.Context, filter inspectionFilter) []inspectionResult {
// check the configuration in reason.
cases := []struct {
table string
tp string
key string
expect string
cond string
detail string
}{
{
table: "cluster_config",
key: "log.slow-threshold",
expect: "> 0",
cond: "type = 'tidb' and `key` = 'log.slow-threshold' and value = '0'",
detail: "slow-threshold = 0 will record every query to slow log, it may affect performance",
},
{
table: "cluster_config",
key: "raftstore.sync-log",
expect: "true",
cond: "type = 'tikv' and `key` = 'raftstore.sync-log' and value = 'false'",
detail: "sync-log should be true to avoid recover region when the machine breaks down",
},
{
table: "cluster_systeminfo",
key: "transparent_hugepage_enabled",
expect: "always madvise [never]",
cond: "system_name = 'kernel' and name = 'transparent_hugepage_enabled' and value not like '%[never]%'",
detail: "Transparent HugePages can cause memory allocation delays during runtime, TiDB recommends that you disable Transparent HugePages on all TiDB servers",
},
}
var results []inspectionResult
var rows []chunk.Row
sql := new(strings.Builder)
exec := sctx.(sqlexec.RestrictedSQLExecutor)
for _, cas := range cases {
if !filter.enable(cas.key) {
continue
}
sql.Reset()
fmt.Fprintf(sql, "select type,instance,value from information_schema.%s where %s", cas.table, cas.cond)
stmt, err := exec.ParseWithParams(ctx, sql.String())
if err == nil {
rows, _, err = exec.ExecRestrictedStmt(ctx, stmt)
}
if err != nil {
sctx.GetSessionVars().StmtCtx.AppendWarning(fmt.Errorf("check configuration in reason failed: %v", err))
}
for _, row := range rows {
results = append(results, inspectionResult{
tp: row.GetString(0),
instance: row.GetString(1),
item: cas.key,
actual: row.GetString(2),
expected: cas.expect,
severity: "warning",
detail: cas.detail,
})
}
}
results = append(results, c.checkTiKVBlockCacheSizeConfig(ctx, sctx, filter)...)
return results
}
func (c configInspection) checkTiKVBlockCacheSizeConfig(ctx context.Context, sctx sessionctx.Context, filter inspectionFilter) []inspectionResult {
item := "storage.block-cache.capacity"
if !filter.enable(item) {
return nil
}
exec := sctx.(sqlexec.RestrictedSQLExecutor)
rows, _, err := exec.ExecRestrictedSQL(ctx, nil, "select instance,value from information_schema.cluster_config where type='tikv' and `key` = 'storage.block-cache.capacity'")
if err != nil {
sctx.GetSessionVars().StmtCtx.AppendWarning(fmt.Errorf("check configuration in reason failed: %v", err))
}
extractIP := func(addr string) string {
if idx := strings.Index(addr, ":"); idx > -1 {
return addr[0:idx]
}
return addr
}
ipToBlockSize := make(map[string]uint64)
ipToCount := make(map[string]int)
for _, row := range rows {
ip := extractIP(row.GetString(0))
size, err := c.convertReadableSizeToByteSize(row.GetString(1))
if err != nil {
sctx.GetSessionVars().StmtCtx.AppendWarning(fmt.Errorf("check TiKV block-cache configuration in reason failed: %v", err))
return nil
}
ipToBlockSize[ip] += size
ipToCount[ip]++
}
rows, _, err = exec.ExecRestrictedSQL(ctx, nil, "select instance, value from metrics_schema.node_total_memory where time=now()")
if err != nil {
sctx.GetSessionVars().StmtCtx.AppendWarning(fmt.Errorf("check configuration in reason failed: %v", err))
}
ipToMemorySize := make(map[string]float64)
for _, row := range rows {
ip := extractIP(row.GetString(0))
size := row.GetFloat64(1)
ipToMemorySize[ip] += size
}
var results []inspectionResult
for ip, blockSize := range ipToBlockSize {
if memorySize, ok := ipToMemorySize[ip]; ok {
if float64(blockSize) > memorySize*0.45 {
detail := fmt.Sprintf("There are %v TiKV server in %v node, the total 'storage.block-cache.capacity' of TiKV is more than (0.45 * total node memory)",
ipToCount[ip], ip)
results = append(results, inspectionResult{
tp: "tikv",
instance: ip,
item: item,
actual: fmt.Sprintf("%v", blockSize),
expected: fmt.Sprintf("< %.0f", memorySize*0.45),
severity: "warning",
detail: detail,
})
}
}
}
return results
}
func (configInspection) convertReadableSizeToByteSize(sizeStr string) (uint64, error) {
rate := uint64(1)
if strings.HasSuffix(sizeStr, "KiB") {
rate = size.KB
} else if strings.HasSuffix(sizeStr, "MiB") {
rate = size.MB
} else if strings.HasSuffix(sizeStr, "GiB") {
rate = size.GB
} else if strings.HasSuffix(sizeStr, "TiB") {
rate = size.TB
} else if strings.HasSuffix(sizeStr, "PiB") {
rate = size.PB
}
if rate != 1 && len(sizeStr) > 3 {
sizeStr = sizeStr[:len(sizeStr)-3]
}
size, err := strconv.Atoi(sizeStr)
if err != nil {
return 0, errors.Trace(err)
}
return uint64(size) * rate, nil
}
func (versionInspection) inspect(ctx context.Context, sctx sessionctx.Context, filter inspectionFilter) []inspectionResult {
exec := sctx.(sqlexec.RestrictedSQLExecutor)
// check the configuration consistent
rows, _, err := exec.ExecRestrictedSQL(ctx, nil, "select type, count(distinct git_hash) as c from information_schema.cluster_info group by type having c > 1;")
if err != nil {
sctx.GetSessionVars().StmtCtx.AppendWarning(fmt.Errorf("check version consistency failed: %v", err))
}
const name = "git_hash"
var results []inspectionResult
for _, row := range rows {
if filter.enable(name) {
results = append(results, inspectionResult{
tp: row.GetString(0),
instance: "",
item: name,
actual: "inconsistent",
expected: "consistent",
severity: "critical",
detail: fmt.Sprintf("the cluster has %[1]v different %[2]s versions, execute the sql to see more detail: select * from information_schema.cluster_info where type='%[2]s'", row.GetUint64(1), row.GetString(0)),
})
}
}
return results
}
func (c nodeLoadInspection) inspect(ctx context.Context, sctx sessionctx.Context, filter inspectionFilter) []inspectionResult {
var rules = []ruleChecker{
inspectCPULoad{item: "load1", tbl: "node_load1"},
inspectCPULoad{item: "load5", tbl: "node_load5"},
inspectCPULoad{item: "load15", tbl: "node_load15"},
inspectVirtualMemUsage{},
inspectSwapMemoryUsed{},
inspectDiskUsage{},
}
return checkRules(ctx, sctx, filter, rules)
}
type inspectVirtualMemUsage struct{}
func (inspectVirtualMemUsage) genSQL(timeRange plannercore.QueryTimeRange) string {
sql := fmt.Sprintf("select instance, max(value) as max_usage from metrics_schema.node_memory_usage %s group by instance having max_usage >= 70", timeRange.Condition())
return sql
}
func (i inspectVirtualMemUsage) genResult(sql string, row chunk.Row) inspectionResult {
return inspectionResult{
tp: "node",
instance: row.GetString(0),
item: i.getItem(),
actual: fmt.Sprintf("%.1f%%", row.GetFloat64(1)),
expected: "< 70%",
severity: "warning",
detail: "the memory-usage is too high",
}
}
func (inspectVirtualMemUsage) getItem() string {
return "virtual-memory-usage"
}
type inspectSwapMemoryUsed struct{}
func (inspectSwapMemoryUsed) genSQL(timeRange plannercore.QueryTimeRange) string {
sql := fmt.Sprintf("select instance, max(value) as max_used from metrics_schema.node_memory_swap_used %s group by instance having max_used > 0", timeRange.Condition())
return sql
}
func (i inspectSwapMemoryUsed) genResult(sql string, row chunk.Row) inspectionResult {
return inspectionResult{
tp: "node",
instance: row.GetString(0),
item: i.getItem(),
actual: fmt.Sprintf("%.1f", row.GetFloat64(1)),
expected: "0",
severity: "warning",
}
}
func (inspectSwapMemoryUsed) getItem() string {
return "swap-memory-used"
}
type inspectDiskUsage struct{}
func (inspectDiskUsage) genSQL(timeRange plannercore.QueryTimeRange) string {
sql := fmt.Sprintf("select instance, device, max(value) as max_usage from metrics_schema.node_disk_usage %v and device like '/%%' group by instance, device having max_usage >= 70", timeRange.Condition())
return sql
}
func (i inspectDiskUsage) genResult(sql string, row chunk.Row) inspectionResult {
return inspectionResult{
tp: "node",
instance: row.GetString(0),
item: i.getItem(),
actual: fmt.Sprintf("%.1f%%", row.GetFloat64(2)),
expected: "< 70%",
severity: "warning",
detail: "the disk-usage of " + row.GetString(1) + " is too high",
}
}
func (inspectDiskUsage) getItem() string {
return "disk-usage"
}
type inspectCPULoad struct {
item string
tbl string
}
func (i inspectCPULoad) genSQL(timeRange plannercore.QueryTimeRange) string {
sql := fmt.Sprintf(`select t1.instance, t1.max_load , 0.7*t2.cpu_count from
(select instance,max(value) as max_load from metrics_schema.%[1]s %[2]s group by instance) as t1 join
(select instance,max(value) as cpu_count from metrics_schema.node_virtual_cpus %[2]s group by instance) as t2
on t1.instance=t2.instance where t1.max_load>(0.7*t2.cpu_count);`, i.tbl, timeRange.Condition())
return sql
}
func (i inspectCPULoad) genResult(sql string, row chunk.Row) inspectionResult {
return inspectionResult{
tp: "node",
instance: row.GetString(0),
item: "cpu-" + i.item,
actual: fmt.Sprintf("%.1f", row.GetFloat64(1)),
expected: fmt.Sprintf("< %.1f", row.GetFloat64(2)),
severity: "warning",
detail: i.getItem() + " should less than (cpu_logical_cores * 0.7)",
}
}
func (i inspectCPULoad) getItem() string {
return "cpu-" + i.item
}
func (c criticalErrorInspection) inspect(ctx context.Context, sctx sessionctx.Context, filter inspectionFilter) []inspectionResult {
results := c.inspectError(ctx, sctx, filter)
results = append(results, c.inspectForServerDown(ctx, sctx, filter)...)
return results
}
func (criticalErrorInspection) inspectError(ctx context.Context, sctx sessionctx.Context, filter inspectionFilter) []inspectionResult {
var rules = []struct {
tp string
item string
tbl string
}{
{tp: "tikv", item: "critical-error", tbl: "tikv_critical_error_total_count"},
{tp: "tidb", item: "panic-count", tbl: "tidb_panic_count_total_count"},
{tp: "tidb", item: "binlog-error", tbl: "tidb_binlog_error_total_count"},
{tp: "tikv", item: "scheduler-is-busy", tbl: "tikv_scheduler_is_busy_total_count"},
{tp: "tikv", item: "coprocessor-is-busy", tbl: "tikv_coprocessor_is_busy_total_count"},
{tp: "tikv", item: "channel-is-full", tbl: "tikv_channel_full_total_count"},
{tp: "tikv", item: "tikv_engine_write_stall", tbl: "tikv_engine_write_stall"},
}
condition := filter.timeRange.Condition()
var results []inspectionResult
exec := sctx.(sqlexec.RestrictedSQLExecutor)
sql := new(strings.Builder)
for _, rule := range rules {
if filter.enable(rule.item) {
def, found := infoschema.MetricTableMap[rule.tbl]
if !found {
sctx.GetSessionVars().StmtCtx.AppendWarning(fmt.Errorf("metrics table: %s not found", rule.tbl))
continue
}
sql.Reset()
fmt.Fprintf(sql, "select `%[1]s`,sum(value) as total from `%[2]s`.`%[3]s` %[4]s group by `%[1]s` having total>=1.0",
strings.Join(def.Labels, "`,`"), util.MetricSchemaName.L, rule.tbl, condition)
rows, _, err := exec.ExecRestrictedSQL(ctx, nil, sql.String())
if err != nil {
sctx.GetSessionVars().StmtCtx.AppendWarning(fmt.Errorf("execute '%s' failed: %v", sql, err))
continue
}
for _, row := range rows {
var actual, detail string
var degree float64
if rest := def.Labels[1:]; len(rest) > 0 {
values := make([]string, 0, len(rest))
// `i+1` and `1+len(rest)` means skip the first field `instance`
for i := range rest {
values = append(values, row.GetString(i+1))
}
// TODO: find a better way to construct the `actual` field
actual = fmt.Sprintf("%.2f(%s)", row.GetFloat64(1+len(rest)), strings.Join(values, ", "))
degree = row.GetFloat64(1 + len(rest))
} else {
actual = fmt.Sprintf("%.2f", row.GetFloat64(1))
degree = row.GetFloat64(1)
}
detail = fmt.Sprintf("the total number of errors about '%s' is too many", rule.item)
result := inspectionResult{
tp: rule.tp,
// NOTE: all tables which can be inspected here whose first label must be `instance`
statusAddress: row.GetString(0),
item: rule.item,
actual: actual,
expected: "0",
severity: "critical",
detail: detail,
degree: degree,
}
results = append(results, result)
}
}
}
return results
}
func (criticalErrorInspection) inspectForServerDown(ctx context.Context, sctx sessionctx.Context, filter inspectionFilter) []inspectionResult {
item := "server-down"
if !filter.enable(item) {
return nil
}
condition := filter.timeRange.Condition()
exec := sctx.(sqlexec.RestrictedSQLExecutor)
sql := new(strings.Builder)
fmt.Fprintf(sql, `select t1.job,t1.instance, t2.min_time from
(select instance,job from metrics_schema.up %[1]s group by instance,job having max(value)-min(value)>0) as t1 join
(select instance,min(time) as min_time from metrics_schema.up %[1]s and value=0 group by instance,job) as t2 on t1.instance=t2.instance order by job`, condition)
rows, _, err := exec.ExecRestrictedSQL(ctx, nil, sql.String())
if err != nil {
sctx.GetSessionVars().StmtCtx.AppendWarning(fmt.Errorf("execute '%s' failed: %v", sql, err))
}
results := make([]inspectionResult, 0, len(rows))
for _, row := range rows {
if row.Len() < 3 {
continue
}
detail := fmt.Sprintf("%s %s disconnect with prometheus around time '%s'", row.GetString(0), row.GetString(1), row.GetTime(2))
result := inspectionResult{
tp: row.GetString(0),
statusAddress: row.GetString(1),
item: item,
actual: "",
expected: "",
severity: "critical",
detail: detail,
degree: 10000 + float64(len(results)),
}
results = append(results, result)
}
// Check from log.
sql.Reset()
fmt.Fprintf(sql, "select type,instance,time from information_schema.cluster_log %s and level = 'info' and message like '%%Welcome to'", condition)
rows, _, err = exec.ExecRestrictedSQL(ctx, nil, sql.String())
if err != nil {
sctx.GetSessionVars().StmtCtx.AppendWarning(fmt.Errorf("execute '%s' failed: %v", sql, err))
}
for _, row := range rows {
if row.Len() < 3 {
continue
}
detail := fmt.Sprintf("%s %s restarted at time '%s'", row.GetString(0), row.GetString(1), row.GetString(2))
result := inspectionResult{
tp: row.GetString(0),
instance: row.GetString(1),
item: item,
actual: "",
expected: "",
severity: "critical",
detail: detail,
degree: 10000 + float64(len(results)),
}
results = append(results, result)
}
return results
}
func (c thresholdCheckInspection) inspect(ctx context.Context, sctx sessionctx.Context, filter inspectionFilter) []inspectionResult {
inspects := []func(context.Context, sessionctx.Context, inspectionFilter) []inspectionResult{
c.inspectThreshold1,
c.inspectThreshold2,
c.inspectThreshold3,
c.inspectForLeaderDrop,
}
//nolint: prealloc
var results []inspectionResult
for _, inspect := range inspects {
re := inspect(ctx, sctx, filter)
results = append(results, re...)
}
return results
}
func (thresholdCheckInspection) inspectThreshold1(ctx context.Context, sctx sessionctx.Context, filter inspectionFilter) []inspectionResult {
var rules = []struct {
item string
component string
configKey string
threshold float64
}{
{
item: "coprocessor-normal-cpu",
component: "cop_normal%",
configKey: "readpool.coprocessor.normal-concurrency",
threshold: 0.9},
{
item: "coprocessor-high-cpu",
component: "cop_high%",
configKey: "readpool.coprocessor.high-concurrency",
threshold: 0.9,
},
{
item: "coprocessor-low-cpu",
component: "cop_low%",
configKey: "readpool.coprocessor.low-concurrency",
threshold: 0.9,
},
{
item: "grpc-cpu",
component: "grpc%",
configKey: "server.grpc-concurrency",
threshold: 0.9,
},
{
item: "raftstore-cpu",
component: "raftstore_%",
configKey: "raftstore.store-pool-size",
threshold: 0.8,
},
{
item: "apply-cpu",
component: "apply_%",
configKey: "raftstore.apply-pool-size",
threshold: 0.8,
},
{
item: "storage-readpool-normal-cpu",
component: "store_read_norm%",
configKey: "readpool.storage.normal-concurrency",
threshold: 0.9,
},
{
item: "storage-readpool-high-cpu",
component: "store_read_high%",
configKey: "readpool.storage.high-concurrency",
threshold: 0.9,
},
{
item: "storage-readpool-low-cpu",
component: "store_read_low%",
configKey: "readpool.storage.low-concurrency",
threshold: 0.9,
},
{
item: "scheduler-worker-cpu",
component: "sched_%",
configKey: "storage.scheduler-worker-pool-size",
threshold: 0.85,
},
{
item: "split-check-cpu",
component: "split_check",
threshold: 0.9,
},
}
condition := filter.timeRange.Condition()
var results []inspectionResult
exec := sctx.(sqlexec.RestrictedSQLExecutor)
sql := new(strings.Builder)
for _, rule := range rules {
if !filter.enable(rule.item) {
continue
}
sql.Reset()
if len(rule.configKey) > 0 {
fmt.Fprintf(sql, `select t1.status_address, t1.cpu, (t2.value * %[2]f) as threshold, t2.value from
(select status_address, max(sum_value) as cpu from (select instance as status_address, sum(value) as sum_value from metrics_schema.tikv_thread_cpu %[4]s and name like '%[1]s' group by instance, time) as tmp group by tmp.status_address) as t1 join
(select instance, value from information_schema.cluster_config where type='tikv' and %[5]s = '%[3]s') as t2 join
(select instance,status_address from information_schema.cluster_info where type='tikv') as t3
on t1.status_address=t3.status_address and t2.instance=t3.instance where t1.cpu > (t2.value * %[2]f)`, rule.component, rule.threshold, rule.configKey, condition, "`key`")
} else {
fmt.Fprintf(sql, `select t1.instance, t1.cpu, %[2]f from
(select instance, max(value) as cpu from metrics_schema.tikv_thread_cpu %[3]s and name like '%[1]s' group by instance) as t1
where t1.cpu > %[2]f;`, rule.component, rule.threshold, condition)
}
rows, _, err := exec.ExecRestrictedSQL(ctx, nil, sql.String())
if err != nil {
sctx.GetSessionVars().StmtCtx.AppendWarning(fmt.Errorf("execute '%s' failed: %v", sql, err))
continue
}
for _, row := range rows {
actual := fmt.Sprintf("%.2f", row.GetFloat64(1))
degree := math.Abs(row.GetFloat64(1)-row.GetFloat64(2)) / math.Max(row.GetFloat64(1), row.GetFloat64(2))
expected := ""
if len(rule.configKey) > 0 {
expected = fmt.Sprintf("< %.2f, config: %v=%v", row.GetFloat64(2), rule.configKey, row.GetString(3))
} else {
expected = fmt.Sprintf("< %.2f", row.GetFloat64(2))
}
detail := fmt.Sprintf("the '%s' max cpu-usage of %s tikv is too high", rule.item, row.GetString(0))
result := inspectionResult{
tp: "tikv",
statusAddress: row.GetString(0),
item: rule.item,
actual: actual,
expected: expected,
severity: "warning",
detail: detail,
degree: degree,
}
results = append(results, result)
}
}
return results
}
func (thresholdCheckInspection) inspectThreshold2(ctx context.Context, sctx sessionctx.Context, filter inspectionFilter) []inspectionResult {
var rules = []struct {
tp string
item string
tbl string
condition string
threshold float64
factor float64
isMin bool
detail string
}{
{
tp: "tidb",
item: "tso-duration",
tbl: "pd_tso_wait_duration",
condition: "quantile=0.999",
threshold: 0.05,
},
{
tp: "tidb",
item: "get-token-duration",
tbl: "tidb_get_token_duration",
condition: "quantile=0.999",
threshold: 0.001,
factor: 10e5, // the unit is microsecond
},
{
tp: "tidb",
item: "load-schema-duration",
tbl: "tidb_load_schema_duration",
condition: "quantile=0.99",
threshold: 1,
},
{
tp: "tikv",
item: "scheduler-cmd-duration",
tbl: "tikv_scheduler_command_duration",
condition: "quantile=0.99",
threshold: 0.1,
},
{
tp: "tikv",
item: "handle-snapshot-duration",
tbl: "tikv_handle_snapshot_duration",
threshold: 30,
},
{
tp: "tikv",
item: "storage-write-duration",
tbl: "tikv_storage_async_request_duration",
condition: "type='write'",
threshold: 0.1,
},
{
tp: "tikv",
item: "storage-snapshot-duration",
tbl: "tikv_storage_async_request_duration",
condition: "type='snapshot'",
threshold: 0.05,
},
{
tp: "tikv",
item: "rocksdb-write-duration",
tbl: "tikv_engine_write_duration",
condition: "type='write_max'",
threshold: 0.1,
factor: 10e5, // the unit is microsecond
},
{
tp: "tikv",
item: "rocksdb-get-duration",
tbl: "tikv_engine_max_get_duration",
condition: "type='get_max'",
threshold: 0.05,
factor: 10e5,
},
{
tp: "tikv",
item: "rocksdb-seek-duration",
tbl: "tikv_engine_max_seek_duration",
condition: "type='seek_max'",
threshold: 0.05,
factor: 10e5, // the unit is microsecond
},
{
tp: "tikv",
item: "scheduler-pending-cmd-count",
tbl: "tikv_scheduler_pending_commands",
threshold: 1000,
detail: " %s tikv scheduler has too many pending commands",
},
{
tp: "tikv",
item: "index-block-cache-hit",
tbl: "tikv_block_index_cache_hit",
condition: "value > 0",
threshold: 0.95,
isMin: true,
},
{
tp: "tikv",
item: "filter-block-cache-hit",
tbl: "tikv_block_filter_cache_hit",
condition: "value > 0",
threshold: 0.95,
isMin: true,
},
{
tp: "tikv",
item: "data-block-cache-hit",
tbl: "tikv_block_data_cache_hit",
condition: "value > 0",
threshold: 0.80,
isMin: true,
},
}
condition := filter.timeRange.Condition()
var results []inspectionResult
sql := new(strings.Builder)
exec := sctx.(sqlexec.RestrictedSQLExecutor)
for _, rule := range rules {
if !filter.enable(rule.item) {
continue
}
cond := condition
if len(rule.condition) > 0 {
cond = fmt.Sprintf("%s and %s", cond, rule.condition)
}
if rule.factor == 0 {
rule.factor = 1
}
sql.Reset()
if rule.isMin {
fmt.Fprintf(sql, "select instance, min(value)/%.0f as min_value from metrics_schema.%s %s group by instance having min_value < %f;", rule.factor, rule.tbl, cond, rule.threshold)
} else {
fmt.Fprintf(sql, "select instance, max(value)/%.0f as max_value from metrics_schema.%s %s group by instance having max_value > %f;", rule.factor, rule.tbl, cond, rule.threshold)
}
rows, _, err := exec.ExecRestrictedSQL(ctx, nil, sql.String())
if err != nil {
sctx.GetSessionVars().StmtCtx.AppendWarning(fmt.Errorf("execute '%s' failed: %v", sql, err))
continue
}
for _, row := range rows {
actual := fmt.Sprintf("%.3f", row.GetFloat64(1))
degree := math.Abs(row.GetFloat64(1)-rule.threshold) / math.Max(row.GetFloat64(1), rule.threshold)
expected := ""
if rule.isMin {
expected = fmt.Sprintf("> %.3f", rule.threshold)
} else {
expected = fmt.Sprintf("< %.3f", rule.threshold)
}
detail := rule.detail
if len(detail) == 0 {
if strings.HasSuffix(rule.item, "duration") {
detail = fmt.Sprintf("max duration of %s %s %s is too slow", row.GetString(0), rule.tp, rule.item)
} else if strings.HasSuffix(rule.item, "hit") {
detail = fmt.Sprintf("min %s rate of %s %s is too low", rule.item, row.GetString(0), rule.tp)
}
} else {
detail = fmt.Sprintf(detail, row.GetString(0))
}
result := inspectionResult{
tp: rule.tp,
statusAddress: row.GetString(0),
item: rule.item,
actual: actual,
expected: expected,
severity: "warning",
detail: detail,
degree: degree,
}
results = append(results, result)
}
}
return results
}
type ruleChecker interface {
genSQL(timeRange plannercore.QueryTimeRange) string
genResult(sql string, row chunk.Row) inspectionResult
getItem() string
}
type compareStoreStatus struct {
item string
tp string
threshold float64
}
func (c compareStoreStatus) genSQL(timeRange plannercore.QueryTimeRange) string {
condition := fmt.Sprintf(`where t1.time>='%[1]s' and t1.time<='%[2]s' and
t2.time>='%[1]s' and t2.time<='%[2]s'`, timeRange.From.Format(plannercore.MetricTableTimeFormat),
timeRange.To.Format(plannercore.MetricTableTimeFormat))
return fmt.Sprintf(`
SELECT t1.address,
max(t1.value),
t2.address,
min(t2.value),
max((t1.value-t2.value)/t1.value) AS ratio
FROM metrics_schema.pd_scheduler_store_status t1
JOIN metrics_schema.pd_scheduler_store_status t2 %s
AND t1.type='%s'
AND t1.time = t2.time
AND t1.type=t2.type
AND t1.address != t2.address
AND (t1.value-t2.value)/t1.value>%v
AND t1.value > 0
GROUP BY t1.address,t2.address
ORDER BY ratio desc`, condition, c.tp, c.threshold)
}
func (c compareStoreStatus) genResult(_ string, row chunk.Row) inspectionResult {
addr1 := row.GetString(0)
value1 := row.GetFloat64(1)
addr2 := row.GetString(2)
value2 := row.GetFloat64(3)
ratio := row.GetFloat64(4)
detail := fmt.Sprintf("%v max %s is %.2f, much more than %v min %s %.2f", addr1, c.tp, value1, addr2, c.tp, value2)
return inspectionResult{
tp: "tikv",
instance: addr2,
item: c.item,
actual: fmt.Sprintf("%.2f%%", ratio*100),
expected: fmt.Sprintf("< %.2f%%", c.threshold*100),
severity: "warning",
detail: detail,
degree: ratio,
}
}
func (c compareStoreStatus) getItem() string {
return c.item
}
type checkRegionHealth struct{}
func (c checkRegionHealth) genSQL(timeRange plannercore.QueryTimeRange) string {
condition := timeRange.Condition()
return fmt.Sprintf(`select instance, sum(value) as sum_value from metrics_schema.pd_region_health %s and
type in ('extra-peer-region-count','learner-peer-region-count','pending-peer-region-count') having sum_value>100`, condition)
}
func (c checkRegionHealth) genResult(_ string, row chunk.Row) inspectionResult {
detail := fmt.Sprintf("the count of extra-perr and learner-peer and pending-peer are %v, it means the scheduling is too frequent or too slow", row.GetFloat64(1))
actual := fmt.Sprintf("%.2f", row.GetFloat64(1))
degree := math.Abs(row.GetFloat64(1)-100) / math.Max(row.GetFloat64(1), 100)
return inspectionResult{
tp: "pd",
instance: row.GetString(0),
item: c.getItem(),
actual: actual,
expected: "< 100",
severity: "warning",
detail: detail,
degree: degree,
}
}
func (c checkRegionHealth) getItem() string {
return "region-health"
}
type checkStoreRegionTooMuch struct{}
func (c checkStoreRegionTooMuch) genSQL(timeRange plannercore.QueryTimeRange) string {
condition := timeRange.Condition()
return fmt.Sprintf(`select address, max(value) from metrics_schema.pd_scheduler_store_status %s and type='region_count' and value > 20000 group by address`, condition)
}
func (c checkStoreRegionTooMuch) genResult(sql string, row chunk.Row) inspectionResult {
actual := fmt.Sprintf("%.2f", row.GetFloat64(1))
degree := math.Abs(row.GetFloat64(1)-20000) / math.Max(row.GetFloat64(1), 20000)
return inspectionResult{
tp: "tikv",
instance: row.GetString(0),
item: c.getItem(),
actual: actual,
expected: "<= 20000",
severity: "warning",
detail: fmt.Sprintf("%s tikv has too many regions", row.GetString(0)),
degree: degree,
}
}
func (c checkStoreRegionTooMuch) getItem() string {
return "region-count"
}
func (thresholdCheckInspection) inspectThreshold3(ctx context.Context, sctx sessionctx.Context, filter inspectionFilter) []inspectionResult {
var rules = []ruleChecker{
compareStoreStatus{
item: "leader-score-balance",
tp: "leader_score",
threshold: 0.05,
},
compareStoreStatus{
item: "region-score-balance",
tp: "region_score",
threshold: 0.05,
},
compareStoreStatus{
item: "store-available-balance",
tp: "store_available",
threshold: 0.2,
},
checkRegionHealth{},
checkStoreRegionTooMuch{},
}
return checkRules(ctx, sctx, filter, rules)
}
func checkRules(ctx context.Context, sctx sessionctx.Context, filter inspectionFilter, rules []ruleChecker) []inspectionResult {
var results []inspectionResult
exec := sctx.(sqlexec.RestrictedSQLExecutor)
for _, rule := range rules {
if !filter.enable(rule.getItem()) {
continue
}
sql := rule.genSQL(filter.timeRange)
rows, _, err := exec.ExecRestrictedSQL(ctx, nil, sql)
if err != nil {
sctx.GetSessionVars().StmtCtx.AppendWarning(fmt.Errorf("execute '%s' failed: %v", sql, err))
continue
}
for _, row := range rows {
results = append(results, rule.genResult(sql, row))
}
}
return results
}
func (c thresholdCheckInspection) inspectForLeaderDrop(ctx context.Context, sctx sessionctx.Context, filter inspectionFilter) []inspectionResult {
condition := filter.timeRange.Condition()
threshold := 50.0
sql := new(strings.Builder)
fmt.Fprintf(sql, `select address,min(value) as mi,max(value) as mx from metrics_schema.pd_scheduler_store_status %s and type='leader_count' group by address having mx-mi>%v`, condition, threshold)
exec := sctx.(sqlexec.RestrictedSQLExecutor)
rows, _, err := exec.ExecRestrictedSQL(ctx, nil, sql.String())
if err != nil {
sctx.GetSessionVars().StmtCtx.AppendWarning(fmt.Errorf("execute '%s' failed: %v", sql, err))
return nil
}
var results []inspectionResult
for _, row := range rows {
address := row.GetString(0)
sql.Reset()
fmt.Fprintf(sql, `select time, value from metrics_schema.pd_scheduler_store_status %s and type='leader_count' and address = '%s' order by time`, condition, address)
var subRows []chunk.Row
subRows, _, err := exec.ExecRestrictedSQL(ctx, nil, sql.String())
if err != nil {
sctx.GetSessionVars().StmtCtx.AppendWarning(fmt.Errorf("execute '%s' failed: %v", sql, err))
continue
}
lastValue := float64(0)
for i, subRows := range subRows {
v := subRows.GetFloat64(1)
if i == 0 {
lastValue = v
continue
}
if lastValue-v > threshold {
level := "warning"
if v == 0 {
level = "critical"
}
results = append(results, inspectionResult{
tp: "tikv",
instance: address,
item: "leader-drop",
actual: fmt.Sprintf("%.0f", lastValue-v),
expected: fmt.Sprintf("<= %.0f", threshold),
severity: level,
detail: fmt.Sprintf("%s tikv has too many leader-drop around time %s, leader count from %.0f drop to %.0f", address, subRows.GetTime(0), lastValue, v),
degree: lastValue - v,
})
break
}
lastValue = v
}
}
return results
}
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