122 lines
3.8 KiB
Go
122 lines
3.8 KiB
Go
// Copyright 2020 The gVisor Authors.
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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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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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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 bigquery defines a BigQuery schema for benchmarks.
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//
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// This package contains a schema for BigQuery and methods for publishing
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// benchmark data into tables.
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package bigquery
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import (
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"context"
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"fmt"
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"strings"
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"time"
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bq "cloud.google.com/go/bigquery"
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)
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// Benchmark is the top level structure of recorded benchmark data. BigQuery
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// will infer the schema from this.
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type Benchmark struct {
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Name string `bq:"name"`
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Timestamp time.Time `bq:"timestamp"`
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Official bool `bq:"official"`
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Metric []*Metric `bq:"metric"`
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Metadata *Metadata `bq:"metadata"`
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}
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// Metric holds the actual metric data and unit information for this benchmark.
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type Metric struct {
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Name string `bq:"name"`
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Unit string `bq:"unit"`
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Sample float64 `bq:"sample"`
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}
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// Metadata about this benchmark.
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type Metadata struct {
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CL string `bq:"changelist"`
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IterationID string `bq:"iteration_id"`
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PendingCL string `bq:"pending_cl"`
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Workflow string `bq:"workflow"`
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Platform string `bq:"platform"`
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Gofer string `bq:"gofer"`
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}
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// InitBigQuery initializes a BigQuery dataset/table in the project. If the dataset/table already exists, it is not duplicated.
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func InitBigQuery(ctx context.Context, projectID, datasetID, tableID string) error {
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client, err := bq.NewClient(ctx, projectID)
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if err != nil {
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return fmt.Errorf("failed to initialize client on project %s: %v", projectID, err)
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}
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defer client.Close()
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dataset := client.Dataset(datasetID)
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if err := dataset.Create(ctx, nil); err != nil && !checkDuplicateError(err) {
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return fmt.Errorf("failed to create dataset: %s: %v", datasetID, err)
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}
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table := dataset.Table(tableID)
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schema, err := bq.InferSchema(Benchmark{})
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if err != nil {
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return fmt.Errorf("failed to infer schema: %v", err)
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}
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if err := table.Create(ctx, &bq.TableMetadata{Schema: schema}); err != nil && !checkDuplicateError(err) {
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return fmt.Errorf("failed to create table: %s: %v", tableID, err)
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}
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return nil
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}
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// AddMetric adds a metric to an existing Benchmark.
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func (bm *Benchmark) AddMetric(metricName, unit string, sample float64) {
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m := &Metric{
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Name: metricName,
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Unit: unit,
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Sample: sample,
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}
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bm.Metric = append(bm.Metric, m)
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}
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// NewBenchmark initializes a new benchmark.
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func NewBenchmark(name string, official bool) *Benchmark {
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return &Benchmark{
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Name: name,
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Timestamp: time.Now().UTC(),
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Official: official,
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Metric: make([]*Metric, 0),
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}
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}
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// SendBenchmarks sends the slice of benchmarks to the BigQuery dataset/table.
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func SendBenchmarks(ctx context.Context, benchmarks []*Benchmark, projectID, datasetID, tableID string) error {
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client, err := bq.NewClient(ctx, projectID)
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if err != nil {
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return fmt.Errorf("Failed to initialize client on project: %s: %v", projectID, err)
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}
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defer client.Close()
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uploader := client.Dataset(datasetID).Table(tableID).Uploader()
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if err = uploader.Put(ctx, benchmarks); err != nil {
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return fmt.Errorf("failed to upload benchmarks to proejct %s, table %s.%s: %v", projectID, datasetID, tableID, err)
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}
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return nil
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}
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// BigQuery will error "409" for duplicate tables and datasets.
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func checkDuplicateError(err error) bool {
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return strings.Contains(err.Error(), "googleapi: Error 409: Already Exists")
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}
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