329 lines
20 KiB
Go
329 lines
20 KiB
Go
// Copyright 2019 PingCAP, Inc.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package executor_test
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import (
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"context"
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. "github.com/pingcap/check"
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"github.com/pingcap/failpoint"
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"github.com/pingcap/parser/mysql"
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"github.com/pingcap/tidb/domain"
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"github.com/pingcap/tidb/infoschema"
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"github.com/pingcap/tidb/kv"
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"github.com/pingcap/tidb/sessionctx/variable"
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"github.com/pingcap/tidb/types"
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"github.com/pingcap/tidb/util/testkit"
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)
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var _ = Suite(&diagnosticsSuite{})
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type diagnosticsSuite struct {
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store kv.Storage
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dom *domain.Domain
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}
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func (s *diagnosticsSuite) SetUpSuite(c *C) {
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store, dom, err := newStoreWithBootstrap()
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c.Assert(err, IsNil)
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s.store = store
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s.dom = dom
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}
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func (s *diagnosticsSuite) TearDownSuite(c *C) {
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s.dom.Close()
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s.store.Close()
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}
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func (s *diagnosticsSuite) TestInspectionResult(c *C) {
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tk := testkit.NewTestKitWithInit(c, s.store)
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mockData := map[string]variable.TableSnapshot{}
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// mock configuration inconsistent
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mockData[infoschema.TableClusterConfig] = variable.TableSnapshot{
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Rows: [][]types.Datum{
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types.MakeDatums("tidb", "192.168.3.22:4000", "ddl.lease", "1"),
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types.MakeDatums("tidb", "192.168.3.23:4000", "ddl.lease", "2"),
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types.MakeDatums("tidb", "192.168.3.24:4000", "ddl.lease", "1"),
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types.MakeDatums("tidb", "192.168.3.25:4000", "ddl.lease", "1"),
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types.MakeDatums("tikv", "192.168.3.32:26600", "coprocessor.high", "8"),
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types.MakeDatums("tikv", "192.168.3.33:26600", "coprocessor.high", "8"),
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types.MakeDatums("tikv", "192.168.3.34:26600", "coprocessor.high", "7"),
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types.MakeDatums("tikv", "192.168.3.35:26600", "coprocessor.high", "7"),
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types.MakeDatums("pd", "192.168.3.32:2379", "scheduler.limit", "3"),
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types.MakeDatums("pd", "192.168.3.33:2379", "scheduler.limit", "3"),
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types.MakeDatums("pd", "192.168.3.34:2379", "scheduler.limit", "3"),
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types.MakeDatums("pd", "192.168.3.35:2379", "scheduler.limit", "3"),
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},
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}
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// mock version inconsistent
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mockData[infoschema.TableClusterInfo] = variable.TableSnapshot{
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Rows: [][]types.Datum{
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types.MakeDatums("tidb", "192.168.1.11:1234", "192.168.1.11:1234", "4.0", "a234c"),
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types.MakeDatums("tidb", "192.168.1.12:1234", "192.168.1.11:1234", "4.0", "a234d"),
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types.MakeDatums("tidb", "192.168.1.13:1234", "192.168.1.11:1234", "4.0", "a234e"),
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types.MakeDatums("tikv", "192.168.1.21:1234", "192.168.1.21:1234", "4.0", "c234d"),
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types.MakeDatums("tikv", "192.168.1.22:1234", "192.168.1.22:1234", "4.0", "c234d"),
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types.MakeDatums("tikv", "192.168.1.23:1234", "192.168.1.23:1234", "4.0", "c234e"),
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types.MakeDatums("pd", "192.168.1.31:1234", "192.168.1.31:1234", "4.0", "m234c"),
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types.MakeDatums("pd", "192.168.1.32:1234", "192.168.1.32:1234", "4.0", "m234d"),
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types.MakeDatums("pd", "192.168.1.33:1234", "192.168.1.33:1234", "4.0", "m234e"),
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},
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}
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// mock load
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mockData[infoschema.TableClusterLoad] = variable.TableSnapshot{
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Rows: [][]types.Datum{
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types.MakeDatums("tidb", "192.168.1.11:1234", "memory", "virtual", "used-percent", "0.8"),
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types.MakeDatums("tidb", "192.168.1.12:1234", "memory", "virtual", "used-percent", "0.6"),
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types.MakeDatums("tidb", "192.168.1.13:1234", "memory", "swap", "used-percent", "0"),
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types.MakeDatums("tikv", "192.168.1.21:1234", "memory", "swap", "used-percent", "0.6"),
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types.MakeDatums("pd", "192.168.1.31:1234", "cpu", "cpu", "load1", "1.0"),
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types.MakeDatums("pd", "192.168.1.32:1234", "cpu", "cpu", "load5", "0.6"),
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types.MakeDatums("pd", "192.168.1.33:1234", "cpu", "cpu", "load15", "2.0"),
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},
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}
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mockData[infoschema.TableClusterHardware] = variable.TableSnapshot{
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Rows: [][]types.Datum{
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types.MakeDatums("tikv", "192.168.1.22:1234", "disk", "sda", "used-percent", "80"),
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types.MakeDatums("tikv", "192.168.1.23:1234", "disk", "sdb", "used-percent", "50"),
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},
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}
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ctx := context.WithValue(context.Background(), "__mockInspectionTables", mockData)
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fpName := "github.com/pingcap/tidb/executor/mockMergeMockInspectionTables"
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ctx = failpoint.WithHook(ctx, func(_ context.Context, fpname string) bool {
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return fpname == fpName
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})
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c.Assert(failpoint.Enable(fpName, "return"), IsNil)
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defer func() { c.Assert(failpoint.Disable(fpName), IsNil) }()
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cases := []struct {
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sql string
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rows []string
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}{
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{
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sql: "select rule, item, type, value, reference, severity, details from information_schema.inspection_result where rule in ('config', 'version')",
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rows: []string{
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"config coprocessor.high tikv inconsistent consistent warning select * from information_schema.cluster_config where type='tikv' and `key`='coprocessor.high'",
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"config ddl.lease tidb inconsistent consistent warning select * from information_schema.cluster_config where type='tidb' and `key`='ddl.lease'",
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"version git_hash tidb inconsistent consistent critical select * from information_schema.cluster_info where type='tidb'",
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"version git_hash tikv inconsistent consistent critical select * from information_schema.cluster_info where type='tikv'",
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"version git_hash pd inconsistent consistent critical select * from information_schema.cluster_info where type='pd'",
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},
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},
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{
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sql: "select rule, item, type, value, reference, severity, details from information_schema.inspection_result where rule in ('config', 'version') and item in ('coprocessor.high', 'git_hash') and type='tikv'",
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rows: []string{
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"config coprocessor.high tikv inconsistent consistent warning select * from information_schema.cluster_config where type='tikv' and `key`='coprocessor.high'",
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"version git_hash tikv inconsistent consistent critical select * from information_schema.cluster_info where type='tikv'",
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},
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},
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{
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sql: "select rule, item, type, value, reference, severity, details from information_schema.inspection_result where rule='config'",
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rows: []string{
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"config coprocessor.high tikv inconsistent consistent warning select * from information_schema.cluster_config where type='tikv' and `key`='coprocessor.high'",
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"config ddl.lease tidb inconsistent consistent warning select * from information_schema.cluster_config where type='tidb' and `key`='ddl.lease'",
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},
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},
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{
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sql: "select rule, item, type, value, reference, severity, details from information_schema.inspection_result where rule='version' and item='git_hash' and type in ('pd', 'tidb')",
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rows: []string{
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"version git_hash tidb inconsistent consistent critical select * from information_schema.cluster_info where type='tidb'",
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"version git_hash pd inconsistent consistent critical select * from information_schema.cluster_info where type='pd'",
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},
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},
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{
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sql: "select rule, item, type, instance, value, reference, severity, details from information_schema.inspection_result where rule='current-load'",
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rows: []string{
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"current-load cpu-load1 pd 192.168.1.31:1234 1.0 <0.7 warning ",
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"current-load cpu-load15 pd 192.168.1.33:1234 2.0 <0.7 warning ",
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"current-load disk-usage tikv 192.168.1.22:1234 80 <70 warning select * from information_schema.cluster_hardware where type='tikv' and instance='192.168.1.22:1234' and device_type='disk' and device_name='sda'",
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"current-load swap-memory-usage tikv 192.168.1.21:1234 0.6 0 warning ",
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"current-load virtual-memory-usage tidb 192.168.1.11:1234 0.8 <0.7 warning ",
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},
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},
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}
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for _, cs := range cases {
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rs, err := tk.Se.Execute(ctx, cs.sql)
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c.Assert(err, IsNil)
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result := tk.ResultSetToResultWithCtx(ctx, rs[0], Commentf("SQL: %v", cs.sql))
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warnings := tk.Se.GetSessionVars().StmtCtx.GetWarnings()
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c.Assert(len(warnings), Equals, 0, Commentf("expected no warning, got: %+v", warnings))
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result.Check(testkit.Rows(cs.rows...))
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}
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}
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func (s *diagnosticsSuite) TestCriticalErrorInspection(c *C) {
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tk := testkit.NewTestKitWithInit(c, s.store)
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fpName := "github.com/pingcap/tidb/executor/mockMetricsTableData"
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c.Assert(failpoint.Enable(fpName, "return"), IsNil)
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defer func() { c.Assert(failpoint.Disable(fpName), IsNil) }()
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datetime := func(s string) types.Time {
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t, err := types.ParseTime(tk.Se.GetSessionVars().StmtCtx, s, mysql.TypeDatetime, types.MaxFsp)
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c.Assert(err, IsNil)
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return t
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}
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// construct some mock data
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mockData := map[string][][]types.Datum{
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// columns: time, instance, type, value
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"tidb_failed_query_opm": {
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types.MakeDatums(datetime("2020-02-12 10:35:00"), "tidb-0", "type1", 0.0),
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types.MakeDatums(datetime("2020-02-12 10:36:00"), "tidb-0", "type2", 1.0),
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types.MakeDatums(datetime("2020-02-12 10:37:00"), "tidb-1", "type3", 5.0),
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},
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// columns: time, instance, type, value
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"tikv_critical_error": {
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types.MakeDatums(datetime("2020-02-12 10:35:00"), "tikv-0", "type1", 0.0),
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types.MakeDatums(datetime("2020-02-12 10:36:00"), "tikv-1", "type1", 1.0),
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types.MakeDatums(datetime("2020-02-12 10:37:00"), "tikv-2", "type2", 5.0),
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},
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// columns: time, instance, value
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"tidb_panic_count": {
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types.MakeDatums(datetime("2020-02-12 10:35:00"), "tidb-0", 4.0),
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types.MakeDatums(datetime("2020-02-12 10:36:00"), "tidb-0", 0.0),
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types.MakeDatums(datetime("2020-02-12 10:37:00"), "tidb-1", 1.0),
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},
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// columns: time, instance, value
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"tidb_binlog_error_count": {
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types.MakeDatums(datetime("2020-02-12 10:35:00"), "tidb-1", 4.0),
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types.MakeDatums(datetime("2020-02-12 10:36:00"), "tidb-2", 0.0),
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types.MakeDatums(datetime("2020-02-12 10:37:00"), "tidb-3", 1.0),
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},
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// columns: time, instance, type, value
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"pd_cmd_fail_ops": {
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types.MakeDatums(datetime("2020-02-12 10:35:00"), "tidb-0", "type1", 0.0),
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types.MakeDatums(datetime("2020-02-12 10:36:00"), "tidb-0", "type1", 1.0),
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types.MakeDatums(datetime("2020-02-12 10:37:00"), "tidb-1", "type2", 5.0),
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},
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// columns: time, instance, type, value
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"tidb_lock_resolver_ops": {
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types.MakeDatums(datetime("2020-02-12 10:35:00"), "tidb-0", "type1", 0.0),
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types.MakeDatums(datetime("2020-02-12 10:36:00"), "tidb-0", "type1", 1.0),
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types.MakeDatums(datetime("2020-02-12 10:37:00"), "tidb-1", "type2", 5.0),
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},
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// columns: time, instance, db, type, stage, value
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"tikv_scheduler_is_busy": {
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types.MakeDatums(datetime("2020-02-12 10:35:00"), "tikv-0", "db1", "type1", "stage1", 1.0),
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types.MakeDatums(datetime("2020-02-12 10:36:00"), "tikv-0", "db2", "type1", "stage2", 2.0),
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types.MakeDatums(datetime("2020-02-12 10:37:00"), "tikv-1", "db1", "type2", "stage1", 3.0),
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types.MakeDatums(datetime("2020-02-12 10:38:00"), "tikv-0", "db1", "type1", "stage2", 4.0),
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types.MakeDatums(datetime("2020-02-12 10:39:00"), "tikv-0", "db2", "type1", "stage1", 5.0),
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types.MakeDatums(datetime("2020-02-12 10:40:00"), "tikv-1", "db1", "type2", "stage2", 6.0),
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},
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// columns: time, instance, db, value
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"tikv_coprocessor_is_busy": {
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types.MakeDatums(datetime("2020-02-12 10:35:00"), "tikv-0", "db1", 1.0),
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types.MakeDatums(datetime("2020-02-12 10:36:00"), "tikv-0", "db2", 2.0),
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types.MakeDatums(datetime("2020-02-12 10:37:00"), "tikv-1", "db1", 3.0),
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types.MakeDatums(datetime("2020-02-12 10:38:00"), "tikv-0", "db1", 4.0),
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types.MakeDatums(datetime("2020-02-12 10:39:00"), "tikv-0", "db2", 5.0),
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types.MakeDatums(datetime("2020-02-12 10:40:00"), "tikv-1", "db1", 6.0),
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},
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// columns: time, instance, db, type, value
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"tikv_channel_full_total": {
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types.MakeDatums(datetime("2020-02-12 10:35:00"), "tikv-0", "db1", "type1", 1.0),
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types.MakeDatums(datetime("2020-02-12 10:36:00"), "tikv-0", "db2", "type1", 2.0),
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types.MakeDatums(datetime("2020-02-12 10:37:00"), "tikv-1", "db1", "type2", 3.0),
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types.MakeDatums(datetime("2020-02-12 10:38:00"), "tikv-0", "db1", "type1", 4.0),
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types.MakeDatums(datetime("2020-02-12 10:39:00"), "tikv-0", "db2", "type1", 5.0),
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types.MakeDatums(datetime("2020-02-12 10:40:00"), "tikv-1", "db1", "type2", 6.0),
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},
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// columns: time, "instance", "reason", value
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"tikv_coprocessor_request_error": {
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types.MakeDatums(datetime("2020-02-12 10:35:00"), "tikv-0", "reason1", 1.0),
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types.MakeDatums(datetime("2020-02-12 10:36:00"), "tikv-0", "reason2", 2.0),
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types.MakeDatums(datetime("2020-02-12 10:37:00"), "tikv-1", "reason3", 3.0),
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},
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// columns: time, instance, value
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"tidb_schema_lease_error_opm": {
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types.MakeDatums(datetime("2020-02-12 10:35:00"), "tidb-1", 4.0),
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types.MakeDatums(datetime("2020-02-12 10:36:00"), "tidb-2", 0.0),
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types.MakeDatums(datetime("2020-02-12 10:37:00"), "tidb-3", 1.0),
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},
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// columns: time, instance, type, sql_type, value
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"tidb_transaction_retry_error_ops": {
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types.MakeDatums(datetime("2020-02-12 10:35:00"), "tidb-0", "db1", "sql_type1", 1.0),
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types.MakeDatums(datetime("2020-02-12 10:36:00"), "tidb-0", "db2", "sql_type1", 2.0),
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types.MakeDatums(datetime("2020-02-12 10:37:00"), "tidb-1", "db1", "sql_type2", 3.0),
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},
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// columns: time, instance, type, value
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"tikv_grpc_errors": {
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types.MakeDatums(datetime("2020-02-12 10:35:00"), "tikv-0", "type1", 1.0),
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types.MakeDatums(datetime("2020-02-12 10:36:00"), "tikv-0", "type2", 2.0),
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types.MakeDatums(datetime("2020-02-12 10:37:00"), "tikv-1", "type3", 3.0),
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},
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// columns: time, instance, type, value
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"tidb_kv_region_error_ops": {
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types.MakeDatums(datetime("2020-02-12 10:35:00"), "tikv-0", "type1", 1.0),
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types.MakeDatums(datetime("2020-02-12 10:36:00"), "tikv-0", "type2", 2.0),
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types.MakeDatums(datetime("2020-02-12 10:37:00"), "tikv-1", "type3", 3.0),
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},
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}
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ctx := context.WithValue(context.Background(), "__mockMetricsTableData", mockData)
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ctx = failpoint.WithHook(ctx, func(_ context.Context, fpname string) bool {
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return fpName == fpname
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})
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rs, err := tk.Se.Execute(ctx, "select item, instance, value, details from information_schema.inspection_result where rule='critical-error'")
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c.Assert(err, IsNil)
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result := tk.ResultSetToResultWithCtx(ctx, rs[0], Commentf("execute inspect SQL failed"))
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c.Assert(tk.Se.GetSessionVars().StmtCtx.WarningCount(), Equals, uint16(0), Commentf("unexpected warnings: %+v", tk.Se.GetSessionVars().StmtCtx.GetWarnings()))
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result.Check(testkit.Rows(
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"binlog-error tidb-3 1.00 select * from `metric_schema`.`tidb_binlog_error_count` where `instance`='tidb-3'",
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"binlog-error tidb-1 4.00 select * from `metric_schema`.`tidb_binlog_error_count` where `instance`='tidb-1'",
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"channel-is-full tikv-0 {`db`='db1',`type`='type1'}=4.00 select * from `metric_schema`.`tikv_channel_full_total` where `instance`='tikv-0' and `db`='db1' and `type`='type1'",
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"channel-is-full tikv-1 {`db`='db1',`type`='type2'}=6.00 select * from `metric_schema`.`tikv_channel_full_total` where `instance`='tikv-1' and `db`='db1' and `type`='type2'",
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"channel-is-full tikv-0 {`db`='db2',`type`='type1'}=5.00 select * from `metric_schema`.`tikv_channel_full_total` where `instance`='tikv-0' and `db`='db2' and `type`='type1'",
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"coprocessor-error tikv-0 {`reason`='reason1'}=1.00 select * from `metric_schema`.`tikv_coprocessor_request_error` where `instance`='tikv-0' and `reason`='reason1'",
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"coprocessor-error tikv-0 {`reason`='reason2'}=2.00 select * from `metric_schema`.`tikv_coprocessor_request_error` where `instance`='tikv-0' and `reason`='reason2'",
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"coprocessor-error tikv-1 {`reason`='reason3'}=3.00 select * from `metric_schema`.`tikv_coprocessor_request_error` where `instance`='tikv-1' and `reason`='reason3'",
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"coprocessor-is-busy tikv-0 {`db`='db1'}=4.00 select * from `metric_schema`.`tikv_coprocessor_is_busy` where `instance`='tikv-0' and `db`='db1'",
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"coprocessor-is-busy tikv-1 {`db`='db1'}=6.00 select * from `metric_schema`.`tikv_coprocessor_is_busy` where `instance`='tikv-1' and `db`='db1'",
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"coprocessor-is-busy tikv-0 {`db`='db2'}=5.00 select * from `metric_schema`.`tikv_coprocessor_is_busy` where `instance`='tikv-0' and `db`='db2'",
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"critical-error tikv-1 {`type`='type1'}=1.00 select * from `metric_schema`.`tikv_critical_error` where `instance`='tikv-1' and `type`='type1'",
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"critical-error tikv-2 {`type`='type2'}=5.00 select * from `metric_schema`.`tikv_critical_error` where `instance`='tikv-2' and `type`='type2'",
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"failed-query-opm tidb-0 {`type`='type2'}=1.00 select * from `metric_schema`.`tidb_failed_query_opm` where `instance`='tidb-0' and `type`='type2'",
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"failed-query-opm tidb-1 {`type`='type3'}=5.00 select * from `metric_schema`.`tidb_failed_query_opm` where `instance`='tidb-1' and `type`='type3'",
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"grpc-errors tikv-0 {`type`='type1'}=1.00 select * from `metric_schema`.`tikv_grpc_errors` where `instance`='tikv-0' and `type`='type1'",
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"grpc-errors tikv-0 {`type`='type2'}=2.00 select * from `metric_schema`.`tikv_grpc_errors` where `instance`='tikv-0' and `type`='type2'",
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"grpc-errors tikv-1 {`type`='type3'}=3.00 select * from `metric_schema`.`tikv_grpc_errors` where `instance`='tikv-1' and `type`='type3'",
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"lock-resolve tidb-0 {`type`='type1'}=1.00 select * from `metric_schema`.`tidb_lock_resolver_ops` where `instance`='tidb-0' and `type`='type1'",
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"lock-resolve tidb-1 {`type`='type2'}=5.00 select * from `metric_schema`.`tidb_lock_resolver_ops` where `instance`='tidb-1' and `type`='type2'",
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"panic-count tidb-1 1.00 select * from `metric_schema`.`tidb_panic_count` where `instance`='tidb-1'",
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"panic-count tidb-0 4.00 select * from `metric_schema`.`tidb_panic_count` where `instance`='tidb-0'",
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"pd-cmd-failed tidb-0 {`type`='type1'}=1.00 select * from `metric_schema`.`pd_cmd_fail_ops` where `instance`='tidb-0' and `type`='type1'",
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"pd-cmd-failed tidb-1 {`type`='type2'}=5.00 select * from `metric_schema`.`pd_cmd_fail_ops` where `instance`='tidb-1' and `type`='type2'",
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"scheduler-is-busy tikv-0 {`db`='db1',`type`='type1',`stage`='stage1'}=1.00 select * from `metric_schema`.`tikv_scheduler_is_busy` where `instance`='tikv-0' and `db`='db1' and `type`='type1' and `stage`='stage1'",
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"scheduler-is-busy tikv-0 {`db`='db1',`type`='type1',`stage`='stage2'}=4.00 select * from `metric_schema`.`tikv_scheduler_is_busy` where `instance`='tikv-0' and `db`='db1' and `type`='type1' and `stage`='stage2'",
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"scheduler-is-busy tikv-1 {`db`='db1',`type`='type2',`stage`='stage1'}=3.00 select * from `metric_schema`.`tikv_scheduler_is_busy` where `instance`='tikv-1' and `db`='db1' and `type`='type2' and `stage`='stage1'",
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"scheduler-is-busy tikv-1 {`db`='db1',`type`='type2',`stage`='stage2'}=6.00 select * from `metric_schema`.`tikv_scheduler_is_busy` where `instance`='tikv-1' and `db`='db1' and `type`='type2' and `stage`='stage2'",
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"scheduler-is-busy tikv-0 {`db`='db2',`type`='type1',`stage`='stage1'}=5.00 select * from `metric_schema`.`tikv_scheduler_is_busy` where `instance`='tikv-0' and `db`='db2' and `type`='type1' and `stage`='stage1'",
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"scheduler-is-busy tikv-0 {`db`='db2',`type`='type1',`stage`='stage2'}=2.00 select * from `metric_schema`.`tikv_scheduler_is_busy` where `instance`='tikv-0' and `db`='db2' and `type`='type1' and `stage`='stage2'",
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"schema-lease-error tidb-3 1.00 select * from `metric_schema`.`tidb_schema_lease_error_opm` where `instance`='tidb-3'",
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"schema-lease-error tidb-1 4.00 select * from `metric_schema`.`tidb_schema_lease_error_opm` where `instance`='tidb-1'",
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"ticlient-region-error tikv-0 {`type`='type1'}=1.00 select * from `metric_schema`.`tidb_kv_region_error_ops` where `instance`='tikv-0' and `type`='type1'",
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"ticlient-region-error tikv-0 {`type`='type2'}=2.00 select * from `metric_schema`.`tidb_kv_region_error_ops` where `instance`='tikv-0' and `type`='type2'",
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"ticlient-region-error tikv-1 {`type`='type3'}=3.00 select * from `metric_schema`.`tidb_kv_region_error_ops` where `instance`='tikv-1' and `type`='type3'",
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"txn-retry-error tidb-0 {`type`='db1',`sql_type`='sql_type1'}=1.00 select * from `metric_schema`.`tidb_transaction_retry_error_ops` where `instance`='tidb-0' and `type`='db1' and `sql_type`='sql_type1'",
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"txn-retry-error tidb-1 {`type`='db1',`sql_type`='sql_type2'}=3.00 select * from `metric_schema`.`tidb_transaction_retry_error_ops` where `instance`='tidb-1' and `type`='db1' and `sql_type`='sql_type2'",
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"txn-retry-error tidb-0 {`type`='db2',`sql_type`='sql_type1'}=2.00 select * from `metric_schema`.`tidb_transaction_retry_error_ops` where `instance`='tidb-0' and `type`='db2' and `sql_type`='sql_type1'",
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|
))
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}
|