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stats: support 'load stats' command (#5724)
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// Copyright 2018 PingCAP, Inc. | ||
// | ||
// Licensed under the Apache License, Version 2.0 (the "License"); | ||
// you may not use this file except in compliance with the License. | ||
// You may obtain a copy of the License at | ||
// | ||
// http://www.apache.org/licenses/LICENSE-2.0 | ||
// | ||
// Unless required by applicable law or agreed to in writing, software | ||
// distributed under the License is distributed on an "AS IS" BASIS, | ||
// See the License for the specific language governing permissions and | ||
// limitations under the License. | ||
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package executor | ||
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import ( | ||
"encoding/json" | ||
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"github.com/juju/errors" | ||
"github.com/pingcap/tidb/context" | ||
"github.com/pingcap/tidb/domain" | ||
"github.com/pingcap/tidb/model" | ||
"github.com/pingcap/tidb/statistics" | ||
"github.com/pingcap/tidb/util/chunk" | ||
goctx "golang.org/x/net/context" | ||
) | ||
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var _ Executor = &LoadStatsExec{} | ||
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// LoadStatsExec represents a load statistic executor. | ||
type LoadStatsExec struct { | ||
baseExecutor | ||
info *LoadStatsInfo | ||
} | ||
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// LoadStatsInfo saves the information of loading statistic operation. | ||
type LoadStatsInfo struct { | ||
Path string | ||
Ctx context.Context | ||
} | ||
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// loadStatsVarKeyType is a dummy type to avoid naming collision in context. | ||
type loadStatsVarKeyType int | ||
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// String defines a Stringer function for debugging and pretty printing. | ||
func (k loadStatsVarKeyType) String() string { | ||
return "load_stats_var" | ||
} | ||
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// LoadStatsVarKey is a variable key for load statistic. | ||
const LoadStatsVarKey loadStatsVarKeyType = 0 | ||
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func (e *LoadStatsExec) exec(goCtx goctx.Context) error { | ||
if len(e.info.Path) == 0 { | ||
return errors.New("Load Stats: file path is empty") | ||
} | ||
val := e.ctx.Value(LoadStatsVarKey) | ||
if val != nil { | ||
e.ctx.SetValue(LoadStatsVarKey, nil) | ||
return errors.New("Load Stats: previous load stats option isn't closed normally") | ||
} | ||
e.ctx.SetValue(LoadStatsVarKey, e.info) | ||
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return nil | ||
} | ||
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// Next implements the Executor Next interface. | ||
func (e *LoadStatsExec) Next(goCtx goctx.Context) (Row, error) { | ||
return nil, e.exec(goCtx) | ||
} | ||
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// NextChunk implements the Executor NextChunk interface. | ||
func (e *LoadStatsExec) NextChunk(goCtx goctx.Context, chk *chunk.Chunk) error { | ||
chk.Reset() | ||
return errors.Trace(e.exec(goCtx)) | ||
} | ||
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// Close implements the Executor Close interface. | ||
func (e *LoadStatsExec) Close() error { | ||
return nil | ||
} | ||
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// Open implements the Executor Open interface. | ||
func (e *LoadStatsExec) Open(goCtx goctx.Context) error { | ||
return nil | ||
} | ||
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// Update updates the stats of the corresponding table according to the data. | ||
func (e *LoadStatsInfo) Update(data []byte) error { | ||
jsonTbl := &statistics.JSONTable{} | ||
if err := json.Unmarshal(data, jsonTbl); err != nil { | ||
return errors.Trace(err) | ||
} | ||
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do := domain.GetDomain(e.Ctx) | ||
is := do.InfoSchema() | ||
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tableInfo, err := is.TableByName(model.NewCIStr(jsonTbl.DatabaseName), model.NewCIStr(jsonTbl.TableName)) | ||
if err != nil { | ||
return errors.Trace(err) | ||
} | ||
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h := do.StatsHandle() | ||
if h == nil { | ||
return errors.New("Load Stats: handle is nil") | ||
} | ||
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tbl, err := h.LoadStatsFromJSON(tableInfo.Meta(), jsonTbl) | ||
if err != nil { | ||
return errors.Trace(err) | ||
} | ||
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if h.Lease > 0 { | ||
hists := make([]*statistics.Histogram, 0, len(tbl.Columns)) | ||
cms := make([]*statistics.CMSketch, 0, len(tbl.Columns)) | ||
for _, col := range tbl.Columns { | ||
hists = append(hists, &col.Histogram) | ||
cms = append(cms, col.CMSketch) | ||
} | ||
h.AnalyzeResultCh() <- &statistics.AnalyzeResult{ | ||
TableID: tbl.TableID, | ||
Hist: hists, | ||
Cms: cms, | ||
Count: tbl.Count, | ||
IsIndex: 0, | ||
Err: nil} | ||
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hists = make([]*statistics.Histogram, 0, len(tbl.Indices)) | ||
cms = make([]*statistics.CMSketch, 0, len(tbl.Indices)) | ||
for _, idx := range tbl.Indices { | ||
hists = append(hists, &idx.Histogram) | ||
cms = append(cms, idx.CMSketch) | ||
} | ||
h.AnalyzeResultCh() <- &statistics.AnalyzeResult{ | ||
TableID: tbl.TableID, | ||
Hist: hists, | ||
Cms: cms, | ||
Count: tbl.Count, | ||
IsIndex: 1, | ||
Err: nil} | ||
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return nil | ||
} | ||
for _, col := range tbl.Columns { | ||
err = statistics.SaveStatsToStorage(e.Ctx, tbl.TableID, tbl.Count, 0, &col.Histogram, col.CMSketch) | ||
if err != nil { | ||
return errors.Trace(err) | ||
} | ||
} | ||
for _, idx := range tbl.Indices { | ||
err = statistics.SaveStatsToStorage(e.Ctx, tbl.TableID, tbl.Count, 1, &idx.Histogram, idx.CMSketch) | ||
if err != nil { | ||
return errors.Trace(err) | ||
} | ||
} | ||
err = h.Update(GetInfoSchema(e.Ctx)) | ||
return errors.Trace(err) | ||
} |
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