1496 lines
48 KiB
Go
1496 lines
48 KiB
Go
// Copyright 2017 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 statistics_test
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import (
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"fmt"
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"strings"
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"time"
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. "github.com/pingcap/check"
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"github.com/pingcap/parser/model"
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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/kv"
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"github.com/pingcap/tidb/sessionctx/stmtctx"
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"github.com/pingcap/tidb/sessionctx/variable"
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"github.com/pingcap/tidb/statistics"
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"github.com/pingcap/tidb/store/tikv/oracle"
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"github.com/pingcap/tidb/types"
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"github.com/pingcap/tidb/util/codec"
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"github.com/pingcap/tidb/util/ranger"
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"github.com/pingcap/tidb/util/testkit"
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"github.com/pingcap/tidb/util/testleak"
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log "github.com/sirupsen/logrus"
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)
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var _ = Suite(&testStatsSuite{})
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type testStatsSuite struct {
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store kv.Storage
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do *domain.Domain
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hook logHook
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}
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func (s *testStatsSuite) SetUpSuite(c *C) {
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testleak.BeforeTest()
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// Add the hook here to avoid data race.
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log.AddHook(&s.hook)
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var err error
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s.store, s.do, err = newStoreWithBootstrap(0)
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c.Assert(err, IsNil)
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}
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func (s *testStatsSuite) TearDownSuite(c *C) {
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s.do.Close()
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s.store.Close()
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testleak.AfterTest(c)()
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}
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func (s *testStatsSuite) TestSingleSessionInsert(c *C) {
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defer cleanEnv(c, s.store, s.do)
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testKit := testkit.NewTestKit(c, s.store)
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testKit.MustExec("use test")
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testKit.MustExec("create table t1 (c1 int, c2 int)")
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testKit.MustExec("create table t2 (c1 int, c2 int)")
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rowCount1 := 10
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rowCount2 := 20
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for i := 0; i < rowCount1; i++ {
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testKit.MustExec("insert into t1 values(1, 2)")
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}
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for i := 0; i < rowCount2; i++ {
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testKit.MustExec("insert into t2 values(1, 2)")
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}
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is := s.do.InfoSchema()
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tbl1, err := is.TableByName(model.NewCIStr("test"), model.NewCIStr("t1"))
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c.Assert(err, IsNil)
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tableInfo1 := tbl1.Meta()
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h := s.do.StatsHandle()
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h.HandleDDLEvent(<-h.DDLEventCh())
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h.HandleDDLEvent(<-h.DDLEventCh())
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h.DumpStatsDeltaToKV(statistics.DumpAll)
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h.Update(is)
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stats1 := h.GetTableStats(tableInfo1)
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c.Assert(stats1.Count, Equals, int64(rowCount1))
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tbl2, err := is.TableByName(model.NewCIStr("test"), model.NewCIStr("t2"))
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c.Assert(err, IsNil)
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tableInfo2 := tbl2.Meta()
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stats2 := h.GetTableStats(tableInfo2)
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c.Assert(stats2.Count, Equals, int64(rowCount2))
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testKit.MustExec("analyze table t1")
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// Test update in a txn.
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for i := 0; i < rowCount1; i++ {
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testKit.MustExec("insert into t1 values(1, 2)")
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}
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h.DumpStatsDeltaToKV(statistics.DumpAll)
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h.Update(is)
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stats1 = h.GetTableStats(tableInfo1)
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c.Assert(stats1.Count, Equals, int64(rowCount1*2))
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// Test IncreaseFactor.
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count, err := stats1.ColumnEqualRowCount(testKit.Se.GetSessionVars().StmtCtx, types.NewIntDatum(1), tableInfo1.Columns[0].ID)
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c.Assert(err, IsNil)
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c.Assert(count, Equals, float64(rowCount1*2))
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testKit.MustExec("begin")
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for i := 0; i < rowCount1; i++ {
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testKit.MustExec("insert into t1 values(1, 2)")
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}
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testKit.MustExec("commit")
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h.DumpStatsDeltaToKV(statistics.DumpAll)
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h.Update(is)
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stats1 = h.GetTableStats(tableInfo1)
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c.Assert(stats1.Count, Equals, int64(rowCount1*3))
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testKit.MustExec("begin")
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for i := 0; i < rowCount1; i++ {
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testKit.MustExec("insert into t1 values(1, 2)")
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}
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for i := 0; i < rowCount1; i++ {
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testKit.MustExec("delete from t1 limit 1")
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}
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for i := 0; i < rowCount2; i++ {
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testKit.MustExec("update t2 set c2 = c1")
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}
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testKit.MustExec("commit")
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h.DumpStatsDeltaToKV(statistics.DumpAll)
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h.Update(is)
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stats1 = h.GetTableStats(tableInfo1)
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c.Assert(stats1.Count, Equals, int64(rowCount1*3))
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stats2 = h.GetTableStats(tableInfo2)
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c.Assert(stats2.Count, Equals, int64(rowCount2))
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testKit.MustExec("begin")
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testKit.MustExec("delete from t1")
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testKit.MustExec("commit")
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h.DumpStatsDeltaToKV(statistics.DumpAll)
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h.Update(is)
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stats1 = h.GetTableStats(tableInfo1)
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c.Assert(stats1.Count, Equals, int64(0))
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rs := testKit.MustQuery("select modify_count from mysql.stats_meta")
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rs.Check(testkit.Rows("40", "70"))
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rs = testKit.MustQuery("select tot_col_size from mysql.stats_histograms")
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rs.Check(testkit.Rows("0", "0", "10", "10"))
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// test dump delta only when `modify count / count` is greater than the ratio.
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originValue := statistics.DumpStatsDeltaRatio
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statistics.DumpStatsDeltaRatio = 0.5
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defer func() {
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statistics.DumpStatsDeltaRatio = originValue
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}()
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statistics.DumpStatsDeltaRatio = 0.5
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for i := 0; i < rowCount1; i++ {
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testKit.MustExec("insert into t1 values (1,2)")
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}
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h.DumpStatsDeltaToKV(statistics.DumpDelta)
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h.Update(is)
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stats1 = h.GetTableStats(tableInfo1)
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c.Assert(stats1.Count, Equals, int64(rowCount1))
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// not dumped
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testKit.MustExec("insert into t1 values (1,2)")
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h.DumpStatsDeltaToKV(statistics.DumpDelta)
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h.Update(is)
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stats1 = h.GetTableStats(tableInfo1)
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c.Assert(stats1.Count, Equals, int64(rowCount1))
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h.FlushStats()
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h.Update(is)
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stats1 = h.GetTableStats(tableInfo1)
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c.Assert(stats1.Count, Equals, int64(rowCount1+1))
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}
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func (s *testStatsSuite) TestRollback(c *C) {
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defer cleanEnv(c, s.store, s.do)
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testKit := testkit.NewTestKit(c, s.store)
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testKit.MustExec("use test")
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testKit.MustExec("create table t (a int, b int)")
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testKit.MustExec("begin")
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testKit.MustExec("insert into t values (1,2)")
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testKit.MustExec("rollback")
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is := s.do.InfoSchema()
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tbl, err := is.TableByName(model.NewCIStr("test"), model.NewCIStr("t"))
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c.Assert(err, IsNil)
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tableInfo := tbl.Meta()
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h := s.do.StatsHandle()
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h.HandleDDLEvent(<-h.DDLEventCh())
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h.DumpStatsDeltaToKV(statistics.DumpAll)
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h.Update(is)
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stats := h.GetTableStats(tableInfo)
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c.Assert(stats.Count, Equals, int64(0))
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c.Assert(stats.ModifyCount, Equals, int64(0))
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}
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func (s *testStatsSuite) TestMultiSession(c *C) {
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defer cleanEnv(c, s.store, s.do)
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testKit := testkit.NewTestKit(c, s.store)
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testKit.MustExec("use test")
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testKit.MustExec("create table t1 (c1 int, c2 int)")
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rowCount1 := 10
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for i := 0; i < rowCount1; i++ {
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testKit.MustExec("insert into t1 values(1, 2)")
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}
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testKit1 := testkit.NewTestKit(c, s.store)
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for i := 0; i < rowCount1; i++ {
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testKit1.MustExec("insert into test.t1 values(1, 2)")
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}
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testKit2 := testkit.NewTestKit(c, s.store)
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for i := 0; i < rowCount1; i++ {
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testKit2.MustExec("delete from test.t1 limit 1")
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}
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is := s.do.InfoSchema()
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tbl1, err := is.TableByName(model.NewCIStr("test"), model.NewCIStr("t1"))
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c.Assert(err, IsNil)
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tableInfo1 := tbl1.Meta()
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h := s.do.StatsHandle()
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h.HandleDDLEvent(<-h.DDLEventCh())
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h.DumpStatsDeltaToKV(statistics.DumpAll)
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h.Update(is)
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stats1 := h.GetTableStats(tableInfo1)
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c.Assert(stats1.Count, Equals, int64(rowCount1))
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for i := 0; i < rowCount1; i++ {
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testKit.MustExec("insert into t1 values(1, 2)")
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}
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for i := 0; i < rowCount1; i++ {
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testKit1.MustExec("insert into test.t1 values(1, 2)")
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}
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for i := 0; i < rowCount1; i++ {
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testKit2.MustExec("delete from test.t1 limit 1")
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}
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testKit.Se.Close()
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testKit2.Se.Close()
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h.DumpStatsDeltaToKV(statistics.DumpAll)
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h.Update(is)
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stats1 = h.GetTableStats(tableInfo1)
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c.Assert(stats1.Count, Equals, int64(rowCount1*2))
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// The session in testKit is already Closed, set it to nil will create a new session.
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testKit.Se = nil
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rs := testKit.MustQuery("select modify_count from mysql.stats_meta")
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rs.Check(testkit.Rows("60"))
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}
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func (s *testStatsSuite) TestTxnWithFailure(c *C) {
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defer cleanEnv(c, s.store, s.do)
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testKit := testkit.NewTestKit(c, s.store)
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testKit.MustExec("use test")
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testKit.MustExec("create table t1 (c1 int primary key, c2 int)")
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is := s.do.InfoSchema()
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tbl1, err := is.TableByName(model.NewCIStr("test"), model.NewCIStr("t1"))
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c.Assert(err, IsNil)
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tableInfo1 := tbl1.Meta()
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h := s.do.StatsHandle()
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h.HandleDDLEvent(<-h.DDLEventCh())
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rowCount1 := 10
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testKit.MustExec("begin")
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for i := 0; i < rowCount1; i++ {
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testKit.MustExec("insert into t1 values(?, 2)", i)
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}
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h.DumpStatsDeltaToKV(statistics.DumpAll)
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h.Update(is)
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stats1 := h.GetTableStats(tableInfo1)
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// have not commit
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c.Assert(stats1.Count, Equals, int64(0))
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testKit.MustExec("commit")
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h.DumpStatsDeltaToKV(statistics.DumpAll)
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h.Update(is)
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stats1 = h.GetTableStats(tableInfo1)
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c.Assert(stats1.Count, Equals, int64(rowCount1))
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_, err = testKit.Exec("insert into t1 values(0, 2)")
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c.Assert(err, NotNil)
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h.DumpStatsDeltaToKV(statistics.DumpAll)
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h.Update(is)
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stats1 = h.GetTableStats(tableInfo1)
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c.Assert(stats1.Count, Equals, int64(rowCount1))
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testKit.MustExec("insert into t1 values(-1, 2)")
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h.DumpStatsDeltaToKV(statistics.DumpAll)
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h.Update(is)
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stats1 = h.GetTableStats(tableInfo1)
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c.Assert(stats1.Count, Equals, int64(rowCount1+1))
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}
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func (s *testStatsSuite) TestUpdatePartition(c *C) {
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defer cleanEnv(c, s.store, s.do)
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testKit := testkit.NewTestKit(c, s.store)
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testKit.MustExec("use test")
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testKit.MustExec("drop table if exists t")
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createTable := `CREATE TABLE t (a int, b char(5)) PARTITION BY RANGE (a) (PARTITION p0 VALUES LESS THAN (6),PARTITION p1 VALUES LESS THAN (11))`
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testKit.MustExec(createTable)
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do := s.do
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is := do.InfoSchema()
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tbl, err := is.TableByName(model.NewCIStr("test"), model.NewCIStr("t"))
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c.Assert(err, IsNil)
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tableInfo := tbl.Meta()
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h := do.StatsHandle()
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err = h.HandleDDLEvent(<-h.DDLEventCh())
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c.Assert(err, IsNil)
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pi := tableInfo.GetPartitionInfo()
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c.Assert(len(pi.Definitions), Equals, 2)
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bColID := tableInfo.Columns[1].ID
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testKit.MustExec(`insert into t values (1, "a"), (7, "a")`)
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c.Assert(h.DumpStatsDeltaToKV(statistics.DumpAll), IsNil)
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c.Assert(h.Update(is), IsNil)
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for _, def := range pi.Definitions {
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statsTbl := h.GetPartitionStats(tableInfo, def.ID)
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c.Assert(statsTbl.ModifyCount, Equals, int64(1))
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c.Assert(statsTbl.Count, Equals, int64(1))
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c.Assert(statsTbl.Columns[bColID].TotColSize, Equals, int64(1))
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}
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testKit.MustExec(`update t set a = a + 1, b = "aa"`)
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c.Assert(h.DumpStatsDeltaToKV(statistics.DumpAll), IsNil)
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c.Assert(h.Update(is), IsNil)
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for _, def := range pi.Definitions {
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statsTbl := h.GetPartitionStats(tableInfo, def.ID)
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c.Assert(statsTbl.ModifyCount, Equals, int64(2))
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c.Assert(statsTbl.Count, Equals, int64(1))
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c.Assert(statsTbl.Columns[bColID].TotColSize, Equals, int64(2))
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}
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testKit.MustExec("delete from t")
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c.Assert(h.DumpStatsDeltaToKV(statistics.DumpAll), IsNil)
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c.Assert(h.Update(is), IsNil)
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for _, def := range pi.Definitions {
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statsTbl := h.GetPartitionStats(tableInfo, def.ID)
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c.Assert(statsTbl.ModifyCount, Equals, int64(3))
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c.Assert(statsTbl.Count, Equals, int64(0))
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c.Assert(statsTbl.Columns[bColID].TotColSize, Equals, int64(0))
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}
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}
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func (s *testStatsSuite) TestAutoUpdate(c *C) {
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defer cleanEnv(c, s.store, s.do)
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testKit := testkit.NewTestKit(c, s.store)
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testKit.MustExec("use test")
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testKit.MustExec("create table t (a varchar(20))")
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statistics.AutoAnalyzeMinCnt = 0
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testKit.MustExec("set global tidb_auto_analyze_ratio = 0.6")
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defer func() {
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statistics.AutoAnalyzeMinCnt = 1000
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testKit.MustExec("set global tidb_auto_analyze_ratio = 0.0")
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}()
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do := s.do
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is := do.InfoSchema()
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tbl, err := is.TableByName(model.NewCIStr("test"), model.NewCIStr("t"))
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c.Assert(err, IsNil)
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tableInfo := tbl.Meta()
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h := do.StatsHandle()
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h.HandleDDLEvent(<-h.DDLEventCh())
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h.Update(is)
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stats := h.GetTableStats(tableInfo)
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c.Assert(stats.Count, Equals, int64(0))
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_, err = testKit.Exec("insert into t values ('ss')")
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c.Assert(err, IsNil)
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h.DumpStatsDeltaToKV(statistics.DumpAll)
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h.Update(is)
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h.HandleAutoAnalyze(is)
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h.Update(is)
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stats = h.GetTableStats(tableInfo)
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c.Assert(stats.Count, Equals, int64(1))
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c.Assert(stats.ModifyCount, Equals, int64(0))
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for _, item := range stats.Columns {
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// TotColSize = 2(length of 'ss') + 1(size of len byte).
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c.Assert(item.TotColSize, Equals, int64(3))
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break
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}
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// Test that even if the table is recently modified, we can still analyze the table.
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h.Lease = time.Second
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defer func() { h.Lease = 0 }()
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_, err = testKit.Exec("insert into t values ('fff')")
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c.Assert(err, IsNil)
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c.Assert(h.DumpStatsDeltaToKV(statistics.DumpAll), IsNil)
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c.Assert(h.Update(is), IsNil)
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h.HandleAutoAnalyze(is)
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h.Update(is)
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stats = h.GetTableStats(tableInfo)
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c.Assert(stats.Count, Equals, int64(2))
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c.Assert(stats.ModifyCount, Equals, int64(1))
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_, err = testKit.Exec("insert into t values ('fff')")
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c.Assert(err, IsNil)
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c.Assert(h.DumpStatsDeltaToKV(statistics.DumpAll), IsNil)
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c.Assert(h.Update(is), IsNil)
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h.HandleAutoAnalyze(is)
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h.Update(is)
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stats = h.GetTableStats(tableInfo)
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c.Assert(stats.Count, Equals, int64(3))
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c.Assert(stats.ModifyCount, Equals, int64(0))
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_, err = testKit.Exec("insert into t values ('eee')")
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c.Assert(err, IsNil)
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h.DumpStatsDeltaToKV(statistics.DumpAll)
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h.Update(is)
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h.HandleAutoAnalyze(is)
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h.Update(is)
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stats = h.GetTableStats(tableInfo)
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c.Assert(stats.Count, Equals, int64(4))
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// Modify count is non-zero means that we do not analyze the table.
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c.Assert(stats.ModifyCount, Equals, int64(1))
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for _, item := range stats.Columns {
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// TotColSize = 6, because the table has not been analyzed, and insert statement will add 3(length of 'eee') to TotColSize.
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c.Assert(item.TotColSize, Equals, int64(14))
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break
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}
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testKit.MustExec("analyze table t")
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_, err = testKit.Exec("create index idx on t(a)")
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c.Assert(err, IsNil)
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is = do.InfoSchema()
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|
tbl, err = is.TableByName(model.NewCIStr("test"), model.NewCIStr("t"))
|
|
c.Assert(err, IsNil)
|
|
tableInfo = tbl.Meta()
|
|
h.HandleAutoAnalyze(is)
|
|
h.Update(is)
|
|
stats = h.GetTableStats(tableInfo)
|
|
c.Assert(stats.Count, Equals, int64(4))
|
|
c.Assert(stats.ModifyCount, Equals, int64(0))
|
|
hg, ok := stats.Indices[tableInfo.Indices[0].ID]
|
|
c.Assert(ok, IsTrue)
|
|
c.Assert(hg.NDV, Equals, int64(3))
|
|
c.Assert(hg.Len(), Equals, 3)
|
|
}
|
|
|
|
func (s *testStatsSuite) TestAutoUpdatePartition(c *C) {
|
|
defer cleanEnv(c, s.store, s.do)
|
|
testKit := testkit.NewTestKit(c, s.store)
|
|
testKit.MustExec("use test")
|
|
testKit.MustExec("drop table if exists t")
|
|
testKit.MustExec("create table t (a int) PARTITION BY RANGE (a) (PARTITION p0 VALUES LESS THAN (6))")
|
|
testKit.MustExec("analyze table t")
|
|
|
|
statistics.AutoAnalyzeMinCnt = 0
|
|
testKit.MustExec("set global tidb_auto_analyze_ratio = 0.6")
|
|
defer func() {
|
|
statistics.AutoAnalyzeMinCnt = 1000
|
|
testKit.MustExec("set global tidb_auto_analyze_ratio = 0.0")
|
|
}()
|
|
|
|
do := s.do
|
|
is := do.InfoSchema()
|
|
tbl, err := is.TableByName(model.NewCIStr("test"), model.NewCIStr("t"))
|
|
c.Assert(err, IsNil)
|
|
tableInfo := tbl.Meta()
|
|
pi := tableInfo.GetPartitionInfo()
|
|
h := do.StatsHandle()
|
|
|
|
h.Update(is)
|
|
stats := h.GetPartitionStats(tableInfo, pi.Definitions[0].ID)
|
|
c.Assert(stats.Count, Equals, int64(0))
|
|
|
|
testKit.MustExec("insert into t values (1)")
|
|
h.DumpStatsDeltaToKV(statistics.DumpAll)
|
|
h.Update(is)
|
|
h.HandleAutoAnalyze(is)
|
|
stats = h.GetPartitionStats(tableInfo, pi.Definitions[0].ID)
|
|
c.Assert(stats.Count, Equals, int64(1))
|
|
c.Assert(stats.ModifyCount, Equals, int64(0))
|
|
}
|
|
|
|
func (s *testStatsSuite) TestTableAnalyzed(c *C) {
|
|
defer cleanEnv(c, s.store, s.do)
|
|
testKit := testkit.NewTestKit(c, s.store)
|
|
testKit.MustExec("use test")
|
|
testKit.MustExec("create table t (a int)")
|
|
testKit.MustExec("insert into t values (1)")
|
|
|
|
is := s.do.InfoSchema()
|
|
tbl, err := is.TableByName(model.NewCIStr("test"), model.NewCIStr("t"))
|
|
c.Assert(err, IsNil)
|
|
tableInfo := tbl.Meta()
|
|
h := s.do.StatsHandle()
|
|
|
|
h.Update(is)
|
|
statsTbl := h.GetTableStats(tableInfo)
|
|
c.Assert(statistics.TableAnalyzed(statsTbl), IsFalse)
|
|
|
|
testKit.MustExec("analyze table t")
|
|
h.Update(is)
|
|
statsTbl = h.GetTableStats(tableInfo)
|
|
c.Assert(statistics.TableAnalyzed(statsTbl), IsTrue)
|
|
|
|
h.Clear()
|
|
oriLease := h.Lease
|
|
// set it to non-zero so we will use load by need strategy
|
|
h.Lease = 1
|
|
defer func() {
|
|
h.Lease = oriLease
|
|
}()
|
|
h.Update(is)
|
|
statsTbl = h.GetTableStats(tableInfo)
|
|
c.Assert(statistics.TableAnalyzed(statsTbl), IsTrue)
|
|
}
|
|
|
|
func (s *testStatsSuite) TestUpdateErrorRate(c *C) {
|
|
defer cleanEnv(c, s.store, s.do)
|
|
h := s.do.StatsHandle()
|
|
is := s.do.InfoSchema()
|
|
h.Lease = 0
|
|
h.Update(is)
|
|
|
|
oriProbability := statistics.FeedbackProbability
|
|
defer func() {
|
|
statistics.FeedbackProbability = oriProbability
|
|
}()
|
|
statistics.FeedbackProbability = 1
|
|
|
|
testKit := testkit.NewTestKit(c, s.store)
|
|
testKit.MustExec("use test")
|
|
testKit.MustExec("create table t (a bigint(64), b bigint(64), primary key(a), index idx(b))")
|
|
h.HandleDDLEvent(<-h.DDLEventCh())
|
|
|
|
testKit.MustExec("insert into t values (1, 3)")
|
|
|
|
c.Assert(h.DumpStatsDeltaToKV(statistics.DumpAll), IsNil)
|
|
testKit.MustExec("analyze table t")
|
|
|
|
testKit.MustExec("insert into t values (2, 3)")
|
|
testKit.MustExec("insert into t values (5, 3)")
|
|
testKit.MustExec("insert into t values (8, 3)")
|
|
testKit.MustExec("insert into t values (12, 3)")
|
|
c.Assert(h.DumpStatsDeltaToKV(statistics.DumpAll), IsNil)
|
|
is = s.do.InfoSchema()
|
|
h.Update(is)
|
|
|
|
table, err := is.TableByName(model.NewCIStr("test"), model.NewCIStr("t"))
|
|
c.Assert(err, IsNil)
|
|
tblInfo := table.Meta()
|
|
tbl := h.GetTableStats(tblInfo)
|
|
aID := tblInfo.Columns[0].ID
|
|
bID := tblInfo.Indices[0].ID
|
|
|
|
// The statistic table is outdated now.
|
|
c.Assert(tbl.Columns[aID].NotAccurate(), IsTrue)
|
|
|
|
testKit.MustQuery("select * from t where a between 1 and 10")
|
|
c.Assert(h.DumpStatsDeltaToKV(statistics.DumpAll), IsNil)
|
|
c.Assert(h.DumpStatsFeedbackToKV(), IsNil)
|
|
c.Assert(h.HandleUpdateStats(is), IsNil)
|
|
h.UpdateErrorRate(is)
|
|
h.Update(is)
|
|
tbl = h.GetTableStats(tblInfo)
|
|
|
|
// The error rate of this column is not larger than MaxErrorRate now.
|
|
c.Assert(tbl.Columns[aID].NotAccurate(), IsFalse)
|
|
|
|
c.Assert(tbl.Indices[bID].NotAccurate(), IsTrue)
|
|
testKit.MustQuery("select * from t where b between 2 and 10")
|
|
c.Assert(h.DumpStatsDeltaToKV(statistics.DumpAll), IsNil)
|
|
c.Assert(h.DumpStatsFeedbackToKV(), IsNil)
|
|
c.Assert(h.HandleUpdateStats(is), IsNil)
|
|
h.UpdateErrorRate(is)
|
|
h.Update(is)
|
|
tbl = h.GetTableStats(tblInfo)
|
|
c.Assert(tbl.Indices[bID].NotAccurate(), IsFalse)
|
|
c.Assert(tbl.Indices[bID].QueryTotal, Equals, int64(1))
|
|
|
|
testKit.MustExec("analyze table t")
|
|
c.Assert(h.DumpStatsDeltaToKV(statistics.DumpAll), IsNil)
|
|
h.Update(is)
|
|
tbl = h.GetTableStats(tblInfo)
|
|
c.Assert(tbl.Indices[bID].QueryTotal, Equals, int64(0))
|
|
}
|
|
|
|
func (s *testStatsSuite) TestUpdatePartitionErrorRate(c *C) {
|
|
defer cleanEnv(c, s.store, s.do)
|
|
h := s.do.StatsHandle()
|
|
is := s.do.InfoSchema()
|
|
h.Lease = 0
|
|
h.Update(is)
|
|
|
|
oriProbability := statistics.FeedbackProbability
|
|
defer func() {
|
|
statistics.FeedbackProbability = oriProbability
|
|
}()
|
|
statistics.FeedbackProbability = 1
|
|
|
|
testKit := testkit.NewTestKit(c, s.store)
|
|
testKit.MustExec("use test")
|
|
testKit.MustExec("set @@session.tidb_enable_table_partition=1")
|
|
testKit.MustExec("create table t (a bigint(64), primary key(a)) partition by range (a) (partition p0 values less than (30))")
|
|
h.HandleDDLEvent(<-h.DDLEventCh())
|
|
|
|
testKit.MustExec("insert into t values (1)")
|
|
|
|
c.Assert(h.DumpStatsDeltaToKV(statistics.DumpAll), IsNil)
|
|
testKit.MustExec("analyze table t")
|
|
|
|
testKit.MustExec("insert into t values (2)")
|
|
testKit.MustExec("insert into t values (5)")
|
|
testKit.MustExec("insert into t values (8)")
|
|
testKit.MustExec("insert into t values (12)")
|
|
c.Assert(h.DumpStatsDeltaToKV(statistics.DumpAll), IsNil)
|
|
is = s.do.InfoSchema()
|
|
h.Update(is)
|
|
|
|
table, err := is.TableByName(model.NewCIStr("test"), model.NewCIStr("t"))
|
|
c.Assert(err, IsNil)
|
|
tblInfo := table.Meta()
|
|
pid := tblInfo.Partition.Definitions[0].ID
|
|
tbl := h.GetPartitionStats(tblInfo, pid)
|
|
aID := tblInfo.Columns[0].ID
|
|
|
|
// The statistic table is outdated now.
|
|
c.Assert(tbl.Columns[aID].NotAccurate(), IsTrue)
|
|
|
|
testKit.MustQuery("select * from t where a between 1 and 10")
|
|
c.Assert(h.DumpStatsDeltaToKV(statistics.DumpAll), IsNil)
|
|
c.Assert(h.DumpStatsFeedbackToKV(), IsNil)
|
|
c.Assert(h.HandleUpdateStats(is), IsNil)
|
|
h.UpdateErrorRate(is)
|
|
h.Update(is)
|
|
tbl = h.GetPartitionStats(tblInfo, pid)
|
|
|
|
// The error rate of this column is not larger than MaxErrorRate now.
|
|
c.Assert(tbl.Columns[aID].NotAccurate(), IsFalse)
|
|
}
|
|
|
|
func appendBucket(h *statistics.Histogram, l, r int64) {
|
|
lower, upper := types.NewIntDatum(l), types.NewIntDatum(r)
|
|
h.AppendBucket(&lower, &upper, 0, 0)
|
|
}
|
|
|
|
func (s *testStatsSuite) TestSplitRange(c *C) {
|
|
h := statistics.NewHistogram(0, 0, 0, 0, types.NewFieldType(mysql.TypeLong), 5, 0)
|
|
appendBucket(h, 1, 1)
|
|
appendBucket(h, 2, 5)
|
|
appendBucket(h, 7, 7)
|
|
appendBucket(h, 8, 8)
|
|
appendBucket(h, 10, 13)
|
|
|
|
tests := []struct {
|
|
points []int64
|
|
exclude []bool
|
|
result string
|
|
}{
|
|
{
|
|
points: []int64{1, 1},
|
|
exclude: []bool{false, false},
|
|
result: "[1,1]",
|
|
},
|
|
{
|
|
points: []int64{0, 1, 3, 8, 8, 20},
|
|
exclude: []bool{true, false, true, false, true, false},
|
|
result: "(0,1],(3,5],(5,7],(7,8],(8,20]",
|
|
},
|
|
{
|
|
points: []int64{8, 10, 20, 30},
|
|
exclude: []bool{false, false, true, true},
|
|
result: "[8,8],(8,10],(20,30)",
|
|
},
|
|
{
|
|
// test remove invalid range
|
|
points: []int64{8, 9},
|
|
exclude: []bool{false, true},
|
|
result: "[8,8]",
|
|
},
|
|
}
|
|
for _, t := range tests {
|
|
ranges := make([]*ranger.Range, 0, len(t.points)/2)
|
|
for i := 0; i < len(t.points); i += 2 {
|
|
ranges = append(ranges, &ranger.Range{
|
|
LowVal: []types.Datum{types.NewIntDatum(t.points[i])},
|
|
LowExclude: t.exclude[i],
|
|
HighVal: []types.Datum{types.NewIntDatum(t.points[i+1])},
|
|
HighExclude: t.exclude[i+1],
|
|
})
|
|
}
|
|
ranges = h.SplitRange(nil, ranges, false)
|
|
var ranStrs []string
|
|
for _, ran := range ranges {
|
|
ranStrs = append(ranStrs, ran.String())
|
|
}
|
|
c.Assert(strings.Join(ranStrs, ","), Equals, t.result)
|
|
}
|
|
}
|
|
|
|
func (s *testStatsSuite) TestQueryFeedback(c *C) {
|
|
defer cleanEnv(c, s.store, s.do)
|
|
testKit := testkit.NewTestKit(c, s.store)
|
|
testKit.MustExec("use test")
|
|
testKit.MustExec("create table t (a bigint(64), b bigint(64), primary key(a), index idx(b))")
|
|
testKit.MustExec("insert into t values (1,2),(2,2),(4,5)")
|
|
testKit.MustExec("analyze table t")
|
|
testKit.MustExec("insert into t values (3,4)")
|
|
|
|
h := s.do.StatsHandle()
|
|
oriProbability := statistics.FeedbackProbability
|
|
oriNumber := statistics.MaxNumberOfRanges
|
|
defer func() {
|
|
statistics.FeedbackProbability = oriProbability
|
|
statistics.MaxNumberOfRanges = oriNumber
|
|
}()
|
|
statistics.FeedbackProbability = 1
|
|
tests := []struct {
|
|
sql string
|
|
hist string
|
|
idxCols int
|
|
}{
|
|
{
|
|
// test primary key feedback
|
|
sql: "select * from t where t.a <= 5",
|
|
hist: "column:1 ndv:4 totColSize:0\n" +
|
|
"num: 1 lower_bound: -9223372036854775808 upper_bound: 1 repeats: 0\n" +
|
|
"num: 1 lower_bound: 2 upper_bound: 2 repeats: 1\n" +
|
|
"num: 2 lower_bound: 3 upper_bound: 5 repeats: 0",
|
|
idxCols: 0,
|
|
},
|
|
{
|
|
// test index feedback by double read
|
|
sql: "select * from t use index(idx) where t.b <= 5",
|
|
hist: "index:1 ndv:2\n" +
|
|
"num: 2 lower_bound: -inf upper_bound: 2 repeats: 0\n" +
|
|
"num: 2 lower_bound: 3 upper_bound: 6 repeats: 0",
|
|
idxCols: 1,
|
|
},
|
|
{
|
|
// test index feedback by single read
|
|
sql: "select b from t use index(idx) where t.b <= 5",
|
|
hist: "index:1 ndv:2\n" +
|
|
"num: 2 lower_bound: -inf upper_bound: 2 repeats: 0\n" +
|
|
"num: 2 lower_bound: 3 upper_bound: 6 repeats: 0",
|
|
idxCols: 1,
|
|
},
|
|
}
|
|
is := s.do.InfoSchema()
|
|
table, err := is.TableByName(model.NewCIStr("test"), model.NewCIStr("t"))
|
|
for i, t := range tests {
|
|
testKit.MustQuery(t.sql)
|
|
c.Assert(h.DumpStatsDeltaToKV(statistics.DumpAll), IsNil)
|
|
c.Assert(h.DumpStatsFeedbackToKV(), IsNil)
|
|
c.Assert(h.HandleUpdateStats(s.do.InfoSchema()), IsNil)
|
|
c.Assert(err, IsNil)
|
|
h.Update(is)
|
|
tblInfo := table.Meta()
|
|
tbl := h.GetTableStats(tblInfo)
|
|
if t.idxCols == 0 {
|
|
c.Assert(tbl.Columns[tblInfo.Columns[0].ID].ToString(0), Equals, tests[i].hist)
|
|
} else {
|
|
c.Assert(tbl.Indices[tblInfo.Indices[0].ID].ToString(1), Equals, tests[i].hist)
|
|
}
|
|
}
|
|
|
|
// Feedback from limit executor may not be accurate.
|
|
testKit.MustQuery("select * from t where t.a <= 5 limit 1")
|
|
h.DumpStatsDeltaToKV(statistics.DumpAll)
|
|
feedback := h.GetQueryFeedback()
|
|
c.Assert(len(feedback), Equals, 0)
|
|
|
|
// Test only collect for max number of Ranges.
|
|
statistics.MaxNumberOfRanges = 0
|
|
for _, t := range tests {
|
|
testKit.MustQuery(t.sql)
|
|
h.DumpStatsDeltaToKV(statistics.DumpAll)
|
|
feedback := h.GetQueryFeedback()
|
|
c.Assert(len(feedback), Equals, 0)
|
|
}
|
|
|
|
// Test collect feedback by probability.
|
|
statistics.FeedbackProbability = 0
|
|
statistics.MaxNumberOfRanges = oriNumber
|
|
for _, t := range tests {
|
|
testKit.MustQuery(t.sql)
|
|
h.DumpStatsDeltaToKV(statistics.DumpAll)
|
|
feedback := h.GetQueryFeedback()
|
|
c.Assert(len(feedback), Equals, 0)
|
|
}
|
|
|
|
// Test that after drop stats, the feedback won't cause panic.
|
|
statistics.FeedbackProbability = 1
|
|
for _, t := range tests {
|
|
testKit.MustQuery(t.sql)
|
|
}
|
|
c.Assert(h.DumpStatsDeltaToKV(statistics.DumpAll), IsNil)
|
|
c.Assert(h.DumpStatsFeedbackToKV(), IsNil)
|
|
testKit.MustExec("drop stats t")
|
|
c.Assert(h.HandleUpdateStats(s.do.InfoSchema()), IsNil)
|
|
|
|
// Test that the outdated feedback won't cause panic.
|
|
testKit.MustExec("analyze table t")
|
|
for _, t := range tests {
|
|
testKit.MustQuery(t.sql)
|
|
}
|
|
c.Assert(h.DumpStatsDeltaToKV(statistics.DumpAll), IsNil)
|
|
c.Assert(h.DumpStatsFeedbackToKV(), IsNil)
|
|
testKit.MustExec("drop table t")
|
|
c.Assert(h.HandleUpdateStats(s.do.InfoSchema()), IsNil)
|
|
}
|
|
|
|
func (s *testStatsSuite) TestQueryFeedbackForPartition(c *C) {
|
|
defer cleanEnv(c, s.store, s.do)
|
|
testKit := testkit.NewTestKit(c, s.store)
|
|
testKit.MustExec("use test")
|
|
testKit.MustExec(`create table t (a bigint(64), b bigint(64), primary key(a), index idx(b))
|
|
partition by range (a) (
|
|
partition p0 values less than (3),
|
|
partition p1 values less than (6))`)
|
|
testKit.MustExec("insert into t values (1,2),(2,2),(3,4),(4,1),(5,6)")
|
|
testKit.MustExec("analyze table t")
|
|
|
|
oriProbability := statistics.FeedbackProbability
|
|
defer func() {
|
|
statistics.FeedbackProbability = oriProbability
|
|
}()
|
|
h := s.do.StatsHandle()
|
|
statistics.FeedbackProbability = 1
|
|
tests := []struct {
|
|
sql string
|
|
hist string
|
|
idxCols int
|
|
}{
|
|
{
|
|
// test primary key feedback
|
|
sql: "select * from t where t.a <= 5",
|
|
hist: "column:1 ndv:2 totColSize:0\n" +
|
|
"num: 1 lower_bound: -9223372036854775808 upper_bound: 1 repeats: 0\n" +
|
|
"num: 1 lower_bound: 2 upper_bound: 5 repeats: 0",
|
|
idxCols: 0,
|
|
},
|
|
{
|
|
// test index feedback by double read
|
|
sql: "select * from t use index(idx) where t.b <= 5",
|
|
hist: "index:1 ndv:1\n" +
|
|
"num: 2 lower_bound: -inf upper_bound: 6 repeats: 0",
|
|
idxCols: 1,
|
|
},
|
|
{
|
|
// test index feedback by single read
|
|
sql: "select b from t use index(idx) where t.b <= 5",
|
|
hist: "index:1 ndv:1\n" +
|
|
"num: 2 lower_bound: -inf upper_bound: 6 repeats: 0",
|
|
idxCols: 1,
|
|
},
|
|
}
|
|
is := s.do.InfoSchema()
|
|
table, err := is.TableByName(model.NewCIStr("test"), model.NewCIStr("t"))
|
|
c.Assert(err, IsNil)
|
|
tblInfo := table.Meta()
|
|
pi := tblInfo.GetPartitionInfo()
|
|
c.Assert(pi, NotNil)
|
|
|
|
// This test will check the result of partition p0.
|
|
var pid int64
|
|
for _, def := range pi.Definitions {
|
|
if def.Name.L == "p0" {
|
|
pid = def.ID
|
|
break
|
|
}
|
|
}
|
|
|
|
for i, t := range tests {
|
|
testKit.MustQuery(t.sql)
|
|
c.Assert(h.DumpStatsDeltaToKV(statistics.DumpAll), IsNil)
|
|
c.Assert(h.DumpStatsFeedbackToKV(), IsNil)
|
|
c.Assert(h.HandleUpdateStats(s.do.InfoSchema()), IsNil)
|
|
c.Assert(err, IsNil)
|
|
h.Update(is)
|
|
tbl := h.GetPartitionStats(tblInfo, pid)
|
|
if t.idxCols == 0 {
|
|
c.Assert(tbl.Columns[tblInfo.Columns[0].ID].ToString(0), Equals, tests[i].hist)
|
|
} else {
|
|
c.Assert(tbl.Indices[tblInfo.Indices[0].ID].ToString(1), Equals, tests[i].hist)
|
|
}
|
|
}
|
|
testKit.MustExec("drop table t")
|
|
}
|
|
|
|
func (s *testStatsSuite) TestUpdateSystemTable(c *C) {
|
|
defer cleanEnv(c, s.store, s.do)
|
|
testKit := testkit.NewTestKit(c, s.store)
|
|
testKit.MustExec("use test")
|
|
testKit.MustExec("create table t (a int, b int)")
|
|
testKit.MustExec("insert into t values (1,2)")
|
|
testKit.MustExec("analyze table t")
|
|
testKit.MustExec("analyze table mysql.stats_histograms")
|
|
h := s.do.StatsHandle()
|
|
c.Assert(h.Update(s.do.InfoSchema()), IsNil)
|
|
feedback := h.GetQueryFeedback()
|
|
// We may have query feedback for system tables, but we do not need to store them.
|
|
c.Assert(len(feedback), Equals, 0)
|
|
}
|
|
|
|
func (s *testStatsSuite) TestOutOfOrderUpdate(c *C) {
|
|
defer cleanEnv(c, s.store, s.do)
|
|
testKit := testkit.NewTestKit(c, s.store)
|
|
testKit.MustExec("use test")
|
|
testKit.MustExec("create table t (a int, b int)")
|
|
testKit.MustExec("insert into t values (1,2)")
|
|
|
|
do := s.do
|
|
is := do.InfoSchema()
|
|
tbl, err := is.TableByName(model.NewCIStr("test"), model.NewCIStr("t"))
|
|
c.Assert(err, IsNil)
|
|
tableInfo := tbl.Meta()
|
|
h := do.StatsHandle()
|
|
h.HandleDDLEvent(<-h.DDLEventCh())
|
|
|
|
// Simulate the case that another tidb has inserted some value, but delta info has not been dumped to kv yet.
|
|
testKit.MustExec("insert into t values (2,2),(4,5)")
|
|
c.Assert(h.DumpStatsDeltaToKV(statistics.DumpAll), IsNil)
|
|
testKit.MustExec(fmt.Sprintf("update mysql.stats_meta set count = 1 where table_id = %d", tableInfo.ID))
|
|
|
|
testKit.MustExec("delete from t")
|
|
c.Assert(h.DumpStatsDeltaToKV(statistics.DumpAll), IsNil)
|
|
testKit.MustQuery("select count from mysql.stats_meta").Check(testkit.Rows("1"))
|
|
|
|
// Now another tidb has updated the delta info.
|
|
testKit.MustExec(fmt.Sprintf("update mysql.stats_meta set count = 3 where table_id = %d", tableInfo.ID))
|
|
|
|
c.Assert(h.DumpStatsDeltaToKV(statistics.DumpAll), IsNil)
|
|
testKit.MustQuery("select count from mysql.stats_meta").Check(testkit.Rows("0"))
|
|
}
|
|
|
|
func (s *testStatsSuite) TestUpdateStatsByLocalFeedback(c *C) {
|
|
defer cleanEnv(c, s.store, s.do)
|
|
testKit := testkit.NewTestKit(c, s.store)
|
|
testKit.MustExec("use test")
|
|
testKit.MustExec("create table t (a bigint(64), b bigint(64), primary key(a), index idx(b))")
|
|
testKit.MustExec("insert into t values (1,2),(2,2),(4,5)")
|
|
testKit.MustExec("analyze table t")
|
|
testKit.MustExec("insert into t values (3,5)")
|
|
h := s.do.StatsHandle()
|
|
|
|
oriProbability := statistics.FeedbackProbability
|
|
oriNumber := statistics.MaxNumberOfRanges
|
|
defer func() {
|
|
statistics.FeedbackProbability = oriProbability
|
|
statistics.MaxNumberOfRanges = oriNumber
|
|
}()
|
|
statistics.FeedbackProbability = 1
|
|
|
|
is := s.do.InfoSchema()
|
|
table, err := is.TableByName(model.NewCIStr("test"), model.NewCIStr("t"))
|
|
c.Assert(err, IsNil)
|
|
|
|
tblInfo := table.Meta()
|
|
h.GetTableStats(tblInfo)
|
|
|
|
testKit.MustQuery("select * from t use index(idx) where b <= 5")
|
|
testKit.MustQuery("select * from t where a > 1")
|
|
testKit.MustQuery("select * from t use index(idx) where b = 5")
|
|
|
|
h.UpdateStatsByLocalFeedback(s.do.InfoSchema())
|
|
tbl := h.GetTableStats(tblInfo)
|
|
|
|
c.Assert(tbl.Columns[tblInfo.Columns[0].ID].ToString(0), Equals, "column:1 ndv:3 totColSize:0\n"+
|
|
"num: 1 lower_bound: 1 upper_bound: 1 repeats: 1\n"+
|
|
"num: 1 lower_bound: 2 upper_bound: 2 repeats: 1\n"+
|
|
"num: 2 lower_bound: 3 upper_bound: 9223372036854775807 repeats: 0")
|
|
sc := &stmtctx.StatementContext{TimeZone: time.Local}
|
|
low, err := codec.EncodeKey(sc, nil, types.NewIntDatum(5))
|
|
c.Assert(err, IsNil)
|
|
|
|
c.Assert(tbl.Indices[tblInfo.Indices[0].ID].CMSketch.QueryBytes(low), Equals, uint32(2))
|
|
|
|
c.Assert(tbl.Indices[tblInfo.Indices[0].ID].ToString(1), Equals, "index:1 ndv:2\n"+
|
|
"num: 2 lower_bound: -inf upper_bound: 2 repeats: 0\n"+
|
|
"num: 2 lower_bound: 3 upper_bound: 6 repeats: 0")
|
|
|
|
// Test that it won't cause panic after update.
|
|
testKit.MustQuery("select * from t use index(idx) where b > 0")
|
|
|
|
// Test that after drop stats, it won't cause panic.
|
|
testKit.MustExec("drop stats t")
|
|
h.UpdateStatsByLocalFeedback(s.do.InfoSchema())
|
|
}
|
|
|
|
func (s *testStatsSuite) TestUpdatePartitionStatsByLocalFeedback(c *C) {
|
|
defer cleanEnv(c, s.store, s.do)
|
|
testKit := testkit.NewTestKit(c, s.store)
|
|
testKit.MustExec("use test")
|
|
testKit.MustExec("set @@session.tidb_enable_table_partition=1")
|
|
testKit.MustExec("create table t (a bigint(64), b bigint(64), primary key(a)) partition by range (a) (partition p0 values less than (6))")
|
|
testKit.MustExec("insert into t values (1,2),(2,2),(4,5)")
|
|
testKit.MustExec("analyze table t")
|
|
testKit.MustExec("insert into t values (3,5)")
|
|
h := s.do.StatsHandle()
|
|
|
|
oriProbability := statistics.FeedbackProbability
|
|
defer func() {
|
|
statistics.FeedbackProbability = oriProbability
|
|
}()
|
|
statistics.FeedbackProbability = 1
|
|
|
|
is := s.do.InfoSchema()
|
|
table, err := is.TableByName(model.NewCIStr("test"), model.NewCIStr("t"))
|
|
c.Assert(err, IsNil)
|
|
|
|
testKit.MustQuery("select * from t where a > 1")
|
|
|
|
h.UpdateStatsByLocalFeedback(s.do.InfoSchema())
|
|
|
|
tblInfo := table.Meta()
|
|
pid := tblInfo.Partition.Definitions[0].ID
|
|
tbl := h.GetPartitionStats(tblInfo, pid)
|
|
|
|
c.Assert(tbl.Columns[tblInfo.Columns[0].ID].ToString(0), Equals, "column:1 ndv:3 totColSize:0\n"+
|
|
"num: 1 lower_bound: 1 upper_bound: 1 repeats: 1\n"+
|
|
"num: 1 lower_bound: 2 upper_bound: 2 repeats: 1\n"+
|
|
"num: 2 lower_bound: 3 upper_bound: 9223372036854775807 repeats: 0")
|
|
}
|
|
|
|
type logHook struct {
|
|
results string
|
|
}
|
|
|
|
func (hook *logHook) Levels() []log.Level {
|
|
return []log.Level{log.DebugLevel}
|
|
}
|
|
|
|
func (hook *logHook) Fire(entry *log.Entry) error {
|
|
message := entry.Message
|
|
if idx := strings.Index(message, "[stats"); idx != -1 {
|
|
hook.results = hook.results + message[idx:]
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func (s *testStatsSuite) TestLogDetailedInfo(c *C) {
|
|
defer cleanEnv(c, s.store, s.do)
|
|
|
|
oriProbability := statistics.FeedbackProbability
|
|
oriMinLogCount := statistics.MinLogScanCount
|
|
oriMinError := statistics.MinLogErrorRate
|
|
oriLevel := log.GetLevel()
|
|
oriLease := s.do.StatsHandle().Lease
|
|
defer func() {
|
|
statistics.FeedbackProbability = oriProbability
|
|
statistics.MinLogScanCount = oriMinLogCount
|
|
statistics.MinLogErrorRate = oriMinError
|
|
s.do.StatsHandle().Lease = oriLease
|
|
log.SetLevel(oriLevel)
|
|
}()
|
|
statistics.FeedbackProbability = 1
|
|
statistics.MinLogScanCount = 0
|
|
statistics.MinLogErrorRate = 0
|
|
s.do.StatsHandle().Lease = 1
|
|
|
|
testKit := testkit.NewTestKit(c, s.store)
|
|
testKit.MustExec("use test")
|
|
testKit.MustExec("create table t (a bigint(64), b bigint(64), c bigint(64), primary key(a), index idx(b), index idx_ba(b,a), index idx_bc(b,c))")
|
|
for i := 0; i < 20; i++ {
|
|
testKit.MustExec(fmt.Sprintf("insert into t values (%d, %d, %d)", i, i, i))
|
|
}
|
|
testKit.MustExec("analyze table t with 4 buckets")
|
|
tests := []struct {
|
|
sql string
|
|
result string
|
|
}{
|
|
{
|
|
sql: "select * from t where t.a <= 15",
|
|
result: "[stats-feedback] test.t, column: a, range: [-inf,7), actual: 8, expected: 7, buckets: {num: 8 lower_bound: 0 upper_bound: 7 repeats: 1}" +
|
|
"[stats-feedback] test.t, column: a, range: [8,15), actual: 8, expected: 7, buckets: {num: 8 lower_bound: 8 upper_bound: 15 repeats: 1}",
|
|
},
|
|
{
|
|
sql: "select * from t use index(idx) where t.b <= 15",
|
|
result: "[stats-feedback] test.t, index: idx, range: [-inf,7), actual: 8, expected: 7, histogram: {num: 8 lower_bound: 0 upper_bound: 7 repeats: 1}" +
|
|
"[stats-feedback] test.t, index: idx, range: [8,15), actual: 8, expected: 7, histogram: {num: 8 lower_bound: 8 upper_bound: 15 repeats: 1}",
|
|
},
|
|
{
|
|
sql: "select b from t use index(idx_ba) where b = 1 and a <= 5",
|
|
result: "[stats-feedback] test.t, index: idx_ba, actual: 1, equality: 1, expected equality: 1, range: [-inf,6], actual: -1, expected: 6, buckets: {num: 8 lower_bound: 0 upper_bound: 7 repeats: 1}",
|
|
},
|
|
{
|
|
sql: "select b from t use index(idx_bc) where b = 1 and c <= 5",
|
|
result: "[stats-feedback] test.t, index: idx_bc, actual: 1, equality: 1, expected equality: 1, range: [-inf,6], pseudo count: 7",
|
|
},
|
|
{
|
|
sql: "select b from t use index(idx_ba) where b = 1",
|
|
result: "[stats-feedback] test.t, index: idx_ba, value: 1, actual: 1, expected: 1",
|
|
},
|
|
}
|
|
log.SetLevel(log.DebugLevel)
|
|
for _, t := range tests {
|
|
s.hook.results = ""
|
|
testKit.MustQuery(t.sql)
|
|
c.Assert(s.hook.results, Equals, t.result)
|
|
}
|
|
}
|
|
|
|
func (s *testStatsSuite) TestNeedAnalyzeTable(c *C) {
|
|
columns := map[int64]*statistics.Column{}
|
|
columns[1] = &statistics.Column{Count: 1}
|
|
tests := []struct {
|
|
tbl *statistics.Table
|
|
ratio float64
|
|
limit time.Duration
|
|
start string
|
|
end string
|
|
now string
|
|
result bool
|
|
reason string
|
|
}{
|
|
// table was never analyzed and has reach the limit
|
|
{
|
|
tbl: &statistics.Table{Version: oracle.EncodeTSO(oracle.GetPhysical(time.Now()))},
|
|
limit: 0,
|
|
ratio: 0,
|
|
start: "00:00 +0800",
|
|
end: "00:01 +0800",
|
|
now: "00:00 +0800",
|
|
result: true,
|
|
reason: "table unanalyzed",
|
|
},
|
|
// table was never analyzed but has not reach the limit
|
|
{
|
|
tbl: &statistics.Table{Version: oracle.EncodeTSO(oracle.GetPhysical(time.Now()))},
|
|
limit: time.Hour,
|
|
ratio: 0,
|
|
start: "00:00 +0800",
|
|
end: "00:01 +0800",
|
|
now: "00:00 +0800",
|
|
result: false,
|
|
reason: "",
|
|
},
|
|
// table was already analyzed but auto analyze is disabled
|
|
{
|
|
tbl: &statistics.Table{HistColl: statistics.HistColl{Columns: columns, ModifyCount: 1, Count: 1}},
|
|
limit: 0,
|
|
ratio: 0,
|
|
start: "00:00 +0800",
|
|
end: "00:01 +0800",
|
|
now: "00:00 +0800",
|
|
result: false,
|
|
reason: "",
|
|
},
|
|
// table was already analyzed and but modify count is small
|
|
{
|
|
tbl: &statistics.Table{HistColl: statistics.HistColl{Columns: columns, ModifyCount: 0, Count: 1}},
|
|
limit: 0,
|
|
ratio: 0.3,
|
|
start: "00:00 +0800",
|
|
end: "00:01 +0800",
|
|
now: "00:00 +0800",
|
|
result: false,
|
|
reason: "",
|
|
},
|
|
// table was already analyzed and but not within time period
|
|
{
|
|
tbl: &statistics.Table{HistColl: statistics.HistColl{Columns: columns, ModifyCount: 1, Count: 1}},
|
|
limit: 0,
|
|
ratio: 0.3,
|
|
start: "00:00 +0800",
|
|
end: "00:01 +0800",
|
|
now: "00:02 +0800",
|
|
result: false,
|
|
reason: "",
|
|
},
|
|
// table was already analyzed and but not within time period
|
|
{
|
|
tbl: &statistics.Table{HistColl: statistics.HistColl{Columns: columns, ModifyCount: 1, Count: 1}},
|
|
limit: 0,
|
|
ratio: 0.3,
|
|
start: "22:00 +0800",
|
|
end: "06:00 +0800",
|
|
now: "10:00 +0800",
|
|
result: false,
|
|
reason: "",
|
|
},
|
|
// table was already analyzed and within time period
|
|
{
|
|
tbl: &statistics.Table{HistColl: statistics.HistColl{Columns: columns, ModifyCount: 1, Count: 1}},
|
|
limit: 0,
|
|
ratio: 0.3,
|
|
start: "00:00 +0800",
|
|
end: "00:01 +0800",
|
|
now: "00:00 +0800",
|
|
result: true,
|
|
reason: "too many modifications",
|
|
},
|
|
// table was already analyzed and within time period
|
|
{
|
|
tbl: &statistics.Table{HistColl: statistics.HistColl{Columns: columns, ModifyCount: 1, Count: 1}},
|
|
limit: 0,
|
|
ratio: 0.3,
|
|
start: "22:00 +0800",
|
|
end: "06:00 +0800",
|
|
now: "23:00 +0800",
|
|
result: true,
|
|
reason: "too many modifications",
|
|
},
|
|
}
|
|
for _, test := range tests {
|
|
start, err := time.ParseInLocation(variable.AnalyzeFullTimeFormat, test.start, time.UTC)
|
|
c.Assert(err, IsNil)
|
|
end, err := time.ParseInLocation(variable.AnalyzeFullTimeFormat, test.end, time.UTC)
|
|
c.Assert(err, IsNil)
|
|
now, err := time.ParseInLocation(variable.AnalyzeFullTimeFormat, test.now, time.UTC)
|
|
c.Assert(err, IsNil)
|
|
needAnalyze, reason := statistics.NeedAnalyzeTable(test.tbl, test.limit, test.ratio, start, end, now)
|
|
c.Assert(needAnalyze, Equals, test.result)
|
|
c.Assert(strings.HasPrefix(reason, test.reason), IsTrue)
|
|
}
|
|
}
|
|
|
|
func (s *testStatsSuite) TestIndexQueryFeedback(c *C) {
|
|
defer cleanEnv(c, s.store, s.do)
|
|
testKit := testkit.NewTestKit(c, s.store)
|
|
|
|
oriProbability := statistics.FeedbackProbability
|
|
defer func() {
|
|
statistics.FeedbackProbability = oriProbability
|
|
}()
|
|
statistics.FeedbackProbability = 1
|
|
|
|
testKit.MustExec("use test")
|
|
testKit.MustExec("create table t (a bigint(64), b bigint(64), c bigint(64), index idx_ab(a,b), index idx_ac(a,c), index idx_b(b))")
|
|
for i := 0; i < 20; i++ {
|
|
testKit.MustExec(fmt.Sprintf("insert into t values (1, %d, %d)", i, i))
|
|
}
|
|
h := s.do.StatsHandle()
|
|
h.HandleDDLEvent(<-h.DDLEventCh())
|
|
c.Assert(h.DumpStatsDeltaToKV(statistics.DumpAll), IsNil)
|
|
testKit.MustExec("analyze table t with 3 buckets")
|
|
for i := 0; i < 20; i++ {
|
|
testKit.MustExec(fmt.Sprintf("insert into t values (1, %d, %d)", i, i))
|
|
}
|
|
c.Assert(h.DumpStatsDeltaToKV(statistics.DumpAll), IsNil)
|
|
is := s.do.InfoSchema()
|
|
h.Update(is)
|
|
table, err := is.TableByName(model.NewCIStr("test"), model.NewCIStr("t"))
|
|
c.Assert(err, IsNil)
|
|
tblInfo := table.Meta()
|
|
tests := []struct {
|
|
sql string
|
|
hist string
|
|
idxCols int
|
|
rangeID int64
|
|
idxID int64
|
|
eqCount uint32
|
|
}{
|
|
{
|
|
sql: "select * from t use index(idx_ab) where a = 1 and b < 21",
|
|
hist: "index:3 ndv:20\n" +
|
|
"num: 16 lower_bound: -inf upper_bound: 7 repeats: 0\n" +
|
|
"num: 16 lower_bound: 8 upper_bound: 15 repeats: 0\n" +
|
|
"num: 8 lower_bound: 16 upper_bound: 21 repeats: 0",
|
|
rangeID: tblInfo.Indices[2].ID,
|
|
idxID: tblInfo.Indices[0].ID,
|
|
idxCols: 1,
|
|
eqCount: 39,
|
|
},
|
|
{
|
|
sql: "select * from t use index(idx_ac) where a = 1 and c < 21",
|
|
hist: "column:3 ndv:20 totColSize:20\n" +
|
|
"num: 13 lower_bound: -9223372036854775808 upper_bound: 6 repeats: 0\n" +
|
|
"num: 13 lower_bound: 7 upper_bound: 13 repeats: 0\n" +
|
|
"num: 12 lower_bound: 14 upper_bound: 21 repeats: 0",
|
|
rangeID: tblInfo.Columns[2].ID,
|
|
idxID: tblInfo.Indices[1].ID,
|
|
idxCols: 0,
|
|
eqCount: 35,
|
|
},
|
|
}
|
|
for i, t := range tests {
|
|
testKit.MustQuery(t.sql)
|
|
c.Assert(h.DumpStatsDeltaToKV(statistics.DumpAll), IsNil)
|
|
c.Assert(h.DumpStatsFeedbackToKV(), IsNil)
|
|
c.Assert(h.HandleUpdateStats(s.do.InfoSchema()), IsNil)
|
|
h.Update(is)
|
|
tbl := h.GetTableStats(tblInfo)
|
|
if t.idxCols == 0 {
|
|
c.Assert(tbl.Columns[t.rangeID].ToString(0), Equals, tests[i].hist)
|
|
} else {
|
|
c.Assert(tbl.Indices[t.rangeID].ToString(1), Equals, tests[i].hist)
|
|
}
|
|
val, err := codec.EncodeKey(testKit.Se.GetSessionVars().StmtCtx, nil, types.NewIntDatum(1))
|
|
c.Assert(err, IsNil)
|
|
c.Assert(tbl.Indices[t.idxID].CMSketch.QueryBytes(val), Equals, t.eqCount)
|
|
}
|
|
}
|
|
|
|
func (s *testStatsSuite) TestAbnormalIndexFeedback(c *C) {
|
|
defer cleanEnv(c, s.store, s.do)
|
|
testKit := testkit.NewTestKit(c, s.store)
|
|
|
|
oriProbability := statistics.FeedbackProbability
|
|
defer func() {
|
|
statistics.FeedbackProbability = oriProbability
|
|
}()
|
|
statistics.FeedbackProbability = 1
|
|
|
|
testKit.MustExec("use test")
|
|
testKit.MustExec("create table t (a bigint(64), b bigint(64), index idx_ab(a,b))")
|
|
for i := 0; i < 20; i++ {
|
|
testKit.MustExec(fmt.Sprintf("insert into t values (%d, %d)", i/5, i))
|
|
}
|
|
testKit.MustExec("analyze table t with 3 buckets")
|
|
testKit.MustExec("delete from t where a = 1")
|
|
testKit.MustExec("delete from t where b > 10")
|
|
is := s.do.InfoSchema()
|
|
table, err := is.TableByName(model.NewCIStr("test"), model.NewCIStr("t"))
|
|
c.Assert(err, IsNil)
|
|
tblInfo := table.Meta()
|
|
h := s.do.StatsHandle()
|
|
tests := []struct {
|
|
sql string
|
|
hist string
|
|
rangeID int64
|
|
idxID int64
|
|
eqCount uint32
|
|
}{
|
|
{
|
|
// The real count of `a = 1` is 0.
|
|
sql: "select * from t where a = 1 and b < 21",
|
|
hist: "column:2 ndv:20 totColSize:20\n" +
|
|
"num: 4 lower_bound: -9223372036854775808 upper_bound: 6 repeats: 0\n" +
|
|
"num: 3 lower_bound: 7 upper_bound: 13 repeats: 0\n" +
|
|
"num: 6 lower_bound: 14 upper_bound: 19 repeats: 1",
|
|
rangeID: tblInfo.Columns[1].ID,
|
|
idxID: tblInfo.Indices[0].ID,
|
|
eqCount: 3,
|
|
},
|
|
{
|
|
// The real count of `b > 10` is 0.
|
|
sql: "select * from t where a = 2 and b > 10",
|
|
hist: "column:2 ndv:20 totColSize:20\n" +
|
|
"num: 4 lower_bound: -9223372036854775808 upper_bound: 6 repeats: 0\n" +
|
|
"num: 2 lower_bound: 7 upper_bound: 13 repeats: 0\n" +
|
|
"num: 6 lower_bound: 14 upper_bound: 19 repeats: 1",
|
|
rangeID: tblInfo.Columns[1].ID,
|
|
idxID: tblInfo.Indices[0].ID,
|
|
eqCount: 3,
|
|
},
|
|
}
|
|
for i, t := range tests {
|
|
testKit.MustQuery(t.sql)
|
|
c.Assert(h.DumpStatsDeltaToKV(statistics.DumpAll), IsNil)
|
|
c.Assert(h.DumpStatsFeedbackToKV(), IsNil)
|
|
c.Assert(h.HandleUpdateStats(s.do.InfoSchema()), IsNil)
|
|
h.Update(is)
|
|
tbl := h.GetTableStats(tblInfo)
|
|
c.Assert(tbl.Columns[t.rangeID].ToString(0), Equals, tests[i].hist)
|
|
val, err := codec.EncodeKey(testKit.Se.GetSessionVars().StmtCtx, nil, types.NewIntDatum(1))
|
|
c.Assert(err, IsNil)
|
|
c.Assert(tbl.Indices[t.idxID].CMSketch.QueryBytes(val), Equals, t.eqCount)
|
|
}
|
|
}
|
|
|
|
func (s *testStatsSuite) TestFeedbackRanges(c *C) {
|
|
defer cleanEnv(c, s.store, s.do)
|
|
testKit := testkit.NewTestKit(c, s.store)
|
|
h := s.do.StatsHandle()
|
|
oriProbability := statistics.FeedbackProbability
|
|
oriNumber := statistics.MaxNumberOfRanges
|
|
defer func() {
|
|
statistics.FeedbackProbability = oriProbability
|
|
statistics.MaxNumberOfRanges = oriNumber
|
|
}()
|
|
statistics.FeedbackProbability = 1
|
|
|
|
testKit.MustExec("use test")
|
|
testKit.MustExec("create table t (a tinyint, b tinyint, primary key(a), index idx(a, b))")
|
|
for i := 0; i < 20; i++ {
|
|
testKit.MustExec(fmt.Sprintf("insert into t values (%d, %d)", i, i))
|
|
}
|
|
h.HandleDDLEvent(<-h.DDLEventCh())
|
|
c.Assert(h.DumpStatsDeltaToKV(statistics.DumpAll), IsNil)
|
|
testKit.MustExec("analyze table t with 3 buckets")
|
|
for i := 30; i < 40; i++ {
|
|
testKit.MustExec(fmt.Sprintf("insert into t values (%d, %d)", i, i))
|
|
}
|
|
c.Assert(h.DumpStatsDeltaToKV(statistics.DumpAll), IsNil)
|
|
tests := []struct {
|
|
sql string
|
|
hist string
|
|
colID int64
|
|
}{
|
|
{
|
|
sql: "select * from t where a <= 50 or (a > 130 and a < 140)",
|
|
hist: "column:1 ndv:30 totColSize:0\n" +
|
|
"num: 8 lower_bound: -128 upper_bound: 7 repeats: 0\n" +
|
|
"num: 8 lower_bound: 8 upper_bound: 15 repeats: 0\n" +
|
|
"num: 14 lower_bound: 16 upper_bound: 50 repeats: 0",
|
|
colID: 1,
|
|
},
|
|
{
|
|
sql: "select * from t where a >= 10",
|
|
hist: "column:1 ndv:30 totColSize:0\n" +
|
|
"num: 8 lower_bound: -128 upper_bound: 7 repeats: 0\n" +
|
|
"num: 8 lower_bound: 8 upper_bound: 15 repeats: 0\n" +
|
|
"num: 14 lower_bound: 16 upper_bound: 127 repeats: 0",
|
|
colID: 1,
|
|
},
|
|
{
|
|
sql: "select * from t use index(idx) where a = 1 and (b <= 50 or (b > 130 and b < 140))",
|
|
hist: "column:2 ndv:20 totColSize:20\n" +
|
|
"num: 7 lower_bound: -128 upper_bound: 6 repeats: 0\n" +
|
|
"num: 7 lower_bound: 7 upper_bound: 13 repeats: 1\n" +
|
|
"num: 6 lower_bound: 14 upper_bound: 19 repeats: 1",
|
|
colID: 2,
|
|
},
|
|
}
|
|
is := s.do.InfoSchema()
|
|
table, err := is.TableByName(model.NewCIStr("test"), model.NewCIStr("t"))
|
|
for i, t := range tests {
|
|
testKit.MustQuery(t.sql)
|
|
c.Assert(h.DumpStatsDeltaToKV(statistics.DumpAll), IsNil)
|
|
c.Assert(h.DumpStatsFeedbackToKV(), IsNil)
|
|
c.Assert(h.HandleUpdateStats(s.do.InfoSchema()), IsNil)
|
|
c.Assert(err, IsNil)
|
|
h.Update(is)
|
|
tblInfo := table.Meta()
|
|
tbl := h.GetTableStats(tblInfo)
|
|
c.Assert(tbl.Columns[t.colID].ToString(0), Equals, tests[i].hist)
|
|
}
|
|
}
|
|
|
|
func (s *testStatsSuite) TestUnsignedFeedbackRanges(c *C) {
|
|
defer cleanEnv(c, s.store, s.do)
|
|
testKit := testkit.NewTestKit(c, s.store)
|
|
h := s.do.StatsHandle()
|
|
oriProbability := statistics.FeedbackProbability
|
|
oriNumber := statistics.MaxNumberOfRanges
|
|
defer func() {
|
|
statistics.FeedbackProbability = oriProbability
|
|
statistics.MaxNumberOfRanges = oriNumber
|
|
}()
|
|
statistics.FeedbackProbability = 1
|
|
|
|
testKit.MustExec("use test")
|
|
testKit.MustExec("create table t (a tinyint unsigned, primary key(a))")
|
|
for i := 0; i < 20; i++ {
|
|
testKit.MustExec(fmt.Sprintf("insert into t values (%d)", i))
|
|
}
|
|
h.HandleDDLEvent(<-h.DDLEventCh())
|
|
c.Assert(h.DumpStatsDeltaToKV(statistics.DumpAll), IsNil)
|
|
testKit.MustExec("analyze table t with 3 buckets")
|
|
for i := 30; i < 40; i++ {
|
|
testKit.MustExec(fmt.Sprintf("insert into t values (%d)", i))
|
|
}
|
|
c.Assert(h.DumpStatsDeltaToKV(statistics.DumpAll), IsNil)
|
|
tests := []struct {
|
|
sql string
|
|
hist string
|
|
}{
|
|
{
|
|
sql: "select * from t where a <= 50",
|
|
hist: "column:1 ndv:30 totColSize:0\n" +
|
|
"num: 8 lower_bound: 0 upper_bound: 7 repeats: 0\n" +
|
|
"num: 8 lower_bound: 8 upper_bound: 15 repeats: 0\n" +
|
|
"num: 14 lower_bound: 16 upper_bound: 50 repeats: 0",
|
|
},
|
|
{
|
|
sql: "select count(*) from t",
|
|
hist: "column:1 ndv:30 totColSize:0\n" +
|
|
"num: 8 lower_bound: 0 upper_bound: 7 repeats: 0\n" +
|
|
"num: 8 lower_bound: 8 upper_bound: 15 repeats: 0\n" +
|
|
"num: 14 lower_bound: 16 upper_bound: 255 repeats: 0",
|
|
},
|
|
}
|
|
is := s.do.InfoSchema()
|
|
table, err := is.TableByName(model.NewCIStr("test"), model.NewCIStr("t"))
|
|
for i, t := range tests {
|
|
testKit.MustQuery(t.sql)
|
|
c.Assert(h.DumpStatsDeltaToKV(statistics.DumpAll), IsNil)
|
|
c.Assert(h.DumpStatsFeedbackToKV(), IsNil)
|
|
c.Assert(h.HandleUpdateStats(s.do.InfoSchema()), IsNil)
|
|
c.Assert(err, IsNil)
|
|
h.Update(is)
|
|
tblInfo := table.Meta()
|
|
tbl := h.GetTableStats(tblInfo)
|
|
c.Assert(tbl.Columns[1].ToString(0), Equals, tests[i].hist)
|
|
}
|
|
}
|