First version of bigquery backend.

Lot of TODOs. But it should be good enough for anyone who wants to try
it out. Marked experimental.

Docker-DCO-1.1-Signed-off-by: Rohit Jnagal <jnagal@google.com> (github: rjnagal)
This commit is contained in:
Rohit Jnagal 2014-08-20 23:04:05 +00:00
parent cb8f471155
commit cfe839a0cd
6 changed files with 995 additions and 2 deletions

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@ -31,7 +31,7 @@ import (
var argPort = flag.Int("port", 8080, "port to listen")
var argDbDriver = flag.String("storage_driver", "memory", "storage driver to use. Options are: memory (default) and influxdb")
var argDbDriver = flag.String("storage_driver", "memory", "storage driver to use. Options are: memory (default), bigquery, and influxdb")
func main() {
flag.Parse()

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@ -0,0 +1,24 @@
BigQuery Storage Driver
=======
[EXPERIMENTAL] Support for bigquery backend as cAdvisor storage driver.
The current implementation takes bunch of BigQuery specific flags for authentication.
These will be merged into a single backend config.
To run the current version, following flags need to be specified:
```
# Storage driver to use.
-storage_driver=bigquery
# Information about server-to-server Oauth token.
# These can be obtained by creating a Service Account client id under `Google Developer API`
# service client id
-bq_id="XYZ.apps.googleusercontent.com"
# service email address
-bq_account="ABC@developer.gserviceaccount.com"
# path to pem key (converted from p12 file)
-bq_credentials_file="/path/to/key.pem"
# project id to use for storing datasets.
-bq_project_id="awesome_project"
```
See Service account Authentication](https://developers.google.com/accounts/docs/OAuth2) for Oauth related details.

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@ -0,0 +1,582 @@
// Copyright 2014 Google Inc. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package bigquery
import (
"fmt"
"strconv"
"strings"
"time"
bigquery "code.google.com/p/google-api-go-client/bigquery/v2"
"github.com/google/cadvisor/info"
"github.com/google/cadvisor/storage"
"github.com/google/cadvisor/storage/bigquery/client"
)
type bigqueryStorage struct {
client *client.Client
prevStats *info.ContainerStats
machineName string
windowLen time.Duration
}
const (
// Bigquery schema types
typeTimestamp string = "TIMESTAMP"
typeString string = "STRING"
typeInteger string = "INTEGER"
colTimestamp string = "timestamp"
colMachineName string = "machine"
colContainerName string = "container_name"
colCpuCumulativeUsage string = "cpu_cumulative_usage"
// Cumulative Cpu usage in system and user mode
colCpuCumulativeUsageSystem string = "cpu_cumulative_usage_system"
colCpuCumulativeUsageUser string = "cpu_cumulative_usage_user"
// Memory usage
colMemoryUsage string = "memory_usage"
// Working set size
colMemoryWorkingSet string = "memory_working_set"
// Container page fault
colMemoryContainerPgfault string = "memory_container_pgfault"
// Constainer major page fault
colMemoryContainerPgmajfault string = "memory_container_pgmajfault"
// Hierarchical page fault
colMemoryHierarchicalPgfault string = "memory_hierarchical_pgfault"
// Hierarchical major page fault
colMemoryHierarchicalPgmajfault string = "memory_hierarchical_pgmajfault"
// Cumulative per-core usage
colPerCoreCumulativeUsagePrefix string = "per_core_cumulative_usage_core_"
// Optional: sample duration. Unit: nanoseconds.
colSampleDuration string = "sample_duration"
// Optional: Instant cpu usage.
colCpuInstantUsage string = "cpu_instant_usage"
// Optiona: Instant per-core usage.
colPerCoreInstantUsagePrefix string = "per_core_instant_usage_core_"
// Cumulative count of bytes received.
colRxBytes string = "rx_bytes"
// Cumulative count of receive errors encountered.
colRxErrors string = "rx_errors"
// Cumulative count of bytes transmitted.
colTxBytes string = "tx_bytes"
// Cumulative count of transmit errors encountered.
colTxErrors string = "tx_errors"
)
// TODO(jnagal): Infer schema through reflection. (See bigquery/client/example)
func (self *bigqueryStorage) GetSchema() *bigquery.TableSchema {
fields := make([]*bigquery.TableFieldSchema, 18)
i := 0
fields[i] = &bigquery.TableFieldSchema{
Type: typeTimestamp,
Name: colTimestamp,
Mode: "REQUIRED",
}
i = i + 1
fields[i] = &bigquery.TableFieldSchema{
Type: typeString,
Name: colMachineName,
Mode: "REQUIRED",
}
i = i + 1
fields[i] = &bigquery.TableFieldSchema{
Type: typeString,
Name: colContainerName,
Mode: "REQUIRED",
}
i = i + 1
fields[i] = &bigquery.TableFieldSchema{
Type: typeInteger,
Name: colCpuCumulativeUsage,
}
i = i + 1
fields[i] = &bigquery.TableFieldSchema{
Type: typeInteger,
Name: colCpuCumulativeUsageSystem,
}
i = i + 1
fields[i] = &bigquery.TableFieldSchema{
Type: typeInteger,
Name: colCpuCumulativeUsageUser,
}
i = i + 1
fields[i] = &bigquery.TableFieldSchema{
Type: typeInteger,
Name: colMemoryUsage,
}
i = i + 1
fields[i] = &bigquery.TableFieldSchema{
Type: typeInteger,
Name: colMemoryWorkingSet,
}
i = i + 1
fields[i] = &bigquery.TableFieldSchema{
Type: typeInteger,
Name: colMemoryContainerPgfault,
}
i = i + 1
fields[i] = &bigquery.TableFieldSchema{
Type: typeInteger,
Name: colMemoryContainerPgmajfault,
}
i = i + 1
fields[i] = &bigquery.TableFieldSchema{
Type: typeInteger,
Name: colMemoryHierarchicalPgfault,
}
i = i + 1
fields[i] = &bigquery.TableFieldSchema{
Type: typeInteger,
Name: colMemoryHierarchicalPgmajfault,
}
i = i + 1
fields[i] = &bigquery.TableFieldSchema{
Type: typeInteger,
Name: colSampleDuration,
}
i = i + 1
fields[i] = &bigquery.TableFieldSchema{
Type: typeInteger,
Name: colCpuInstantUsage,
}
i = i + 1
fields[i] = &bigquery.TableFieldSchema{
Type: typeInteger,
Name: colRxBytes,
}
i = i + 1
fields[i] = &bigquery.TableFieldSchema{
Type: typeInteger,
Name: colRxErrors,
}
i = i + 1
fields[i] = &bigquery.TableFieldSchema{
Type: typeInteger,
Name: colTxBytes,
}
i = i + 1
fields[i] = &bigquery.TableFieldSchema{
Type: typeInteger,
Name: colTxErrors,
}
return &bigquery.TableSchema{
Fields: fields,
}
}
func (self *bigqueryStorage) containerStatsToValues(
ref info.ContainerReference,
stats *info.ContainerStats,
) (row map[string]interface{}) {
row = make(map[string]interface{})
// Timestamp
row[colTimestamp] = stats.Timestamp
// Machine name
row[colMachineName] = self.machineName
// Container name
name := ref.Name
if len(ref.Aliases) > 0 {
name = ref.Aliases[0]
}
row[colContainerName] = name
// Cumulative Cpu Usage
row[colCpuCumulativeUsage] = stats.Cpu.Usage.Total
// Cumulative Cpu Usage in system mode
row[colCpuCumulativeUsageSystem] = stats.Cpu.Usage.System
// Cumulative Cpu Usage in user mode
row[colCpuCumulativeUsageUser] = stats.Cpu.Usage.User
// Memory Usage
row[colMemoryUsage] = stats.Memory.Usage
// Working set size
row[colMemoryWorkingSet] = stats.Memory.WorkingSet
// container page fault
row[colMemoryContainerPgfault] = stats.Memory.ContainerData.Pgfault
// container major page fault
row[colMemoryContainerPgmajfault] = stats.Memory.ContainerData.Pgmajfault
// hierarchical page fault
row[colMemoryHierarchicalPgfault] = stats.Memory.HierarchicalData.Pgfault
// hierarchical major page fault
row[colMemoryHierarchicalPgmajfault] = stats.Memory.HierarchicalData.Pgmajfault
// Optional: Network stats.
if stats.Network != nil {
row[colRxBytes] = stats.Network.RxBytes
row[colRxErrors] = stats.Network.RxErrors
row[colTxBytes] = stats.Network.TxBytes
row[colTxErrors] = stats.Network.TxErrors
}
sample, err := info.NewSample(self.prevStats, stats)
if err != nil || sample == nil {
return
}
// TODO(jnagal): Handle per-cpu stats.
// Optional: sample duration. Unit: Nanosecond.
row[colSampleDuration] = sample.Duration
// Optional: Instant cpu usage
row[colCpuInstantUsage] = sample.Cpu.Usage
return
}
func convertToUint64(v interface{}) (uint64, error) {
if v == nil {
return 0, nil
}
switch x := v.(type) {
case uint64:
return x, nil
case int:
if x < 0 {
return 0, fmt.Errorf("negative value: %v", x)
}
return uint64(x), nil
case int32:
if x < 0 {
return 0, fmt.Errorf("negative value: %v", x)
}
return uint64(x), nil
case int64:
if x < 0 {
return 0, fmt.Errorf("negative value: %v", x)
}
return uint64(x), nil
case float64:
if x < 0 {
return 0, fmt.Errorf("negative value: %v", x)
}
return uint64(x), nil
case uint32:
return uint64(x), nil
case string:
return strconv.ParseUint(v.(string), 10, 64)
}
return 0, fmt.Errorf("Unknown type")
}
func (self *bigqueryStorage) valuesToContainerStats(columns []string, values []interface{}) (*info.ContainerStats, error) {
stats := &info.ContainerStats{
Cpu: &info.CpuStats{},
Memory: &info.MemoryStats{},
Network: &info.NetworkStats{},
}
var err error
for i, col := range columns {
v := values[i]
switch {
case col == colTimestamp:
if t, ok := v.(time.Time); ok {
stats.Timestamp = t
}
case col == colMachineName:
if m, ok := v.(string); ok {
if m != self.machineName {
return nil, fmt.Errorf("Different machine")
}
} else {
return nil, fmt.Errorf("Machine name field is not a string: %v", v)
}
// Cumulative Cpu Usage
case col == colCpuCumulativeUsage:
stats.Cpu.Usage.Total, err = convertToUint64(v)
// Cumulative Cpu used by the system
case col == colCpuCumulativeUsageSystem:
stats.Cpu.Usage.System, err = convertToUint64(v)
// Cumulative Cpu Usage in user mode
case col == colCpuCumulativeUsageUser:
stats.Cpu.Usage.User, err = convertToUint64(v)
// Memory Usage
case col == colMemoryUsage:
stats.Memory.Usage, err = convertToUint64(v)
// Working set size
case col == colMemoryWorkingSet:
stats.Memory.WorkingSet, err = convertToUint64(v)
// container page fault
case col == colMemoryContainerPgfault:
stats.Memory.ContainerData.Pgfault, err = convertToUint64(v)
// container major page fault
case col == colMemoryContainerPgmajfault:
stats.Memory.ContainerData.Pgmajfault, err = convertToUint64(v)
// hierarchical page fault
case col == colMemoryHierarchicalPgfault:
stats.Memory.HierarchicalData.Pgfault, err = convertToUint64(v)
// hierarchical major page fault
case col == colMemoryHierarchicalPgmajfault:
stats.Memory.HierarchicalData.Pgmajfault, err = convertToUint64(v)
case col == colRxBytes:
stats.Network.RxBytes, err = convertToUint64(v)
case col == colRxErrors:
stats.Network.RxErrors, err = convertToUint64(v)
case col == colTxBytes:
stats.Network.TxBytes, err = convertToUint64(v)
case col == colTxErrors:
stats.Network.TxErrors, err = convertToUint64(v)
}
if err != nil {
return nil, fmt.Errorf("column %v has invalid value %v: %v", col, v, err)
}
}
return stats, nil
}
func (self *bigqueryStorage) valuesToContainerSample(columns []string, values []interface{}) (*info.ContainerStatsSample, error) {
sample := &info.ContainerStatsSample{}
var err error
for i, col := range columns {
v := values[i]
switch {
case col == colTimestamp:
if t, ok := v.(time.Time); ok {
sample.Timestamp = t
}
case col == colMachineName:
if m, ok := v.(string); ok {
if m != self.machineName {
return nil, fmt.Errorf("Different machine")
}
} else {
return nil, fmt.Errorf("Machine name field is not a string: %v", v)
}
// Memory Usage
case col == colMemoryUsage:
sample.Memory.Usage, err = convertToUint64(v)
// sample duration. Unit: Nanosecond.
case col == colSampleDuration:
if v == nil {
// this record does not have sample_duration, so it's the first stats.
return nil, nil
}
sample.Duration = time.Duration(v.(int64))
// Instant cpu usage
case col == colCpuInstantUsage:
sample.Cpu.Usage, err = convertToUint64(v)
}
if err != nil {
return nil, fmt.Errorf("column %v has invalid value %v: %v", col, v, err)
}
}
if sample.Duration.Nanoseconds() == 0 {
return nil, nil
}
return sample, nil
}
func (self *bigqueryStorage) AddStats(ref info.ContainerReference, stats *info.ContainerStats) error {
if stats == nil || stats.Cpu == nil || stats.Memory == nil {
return nil
}
row := self.containerStatsToValues(ref, stats)
self.prevStats = stats.Copy(self.prevStats)
err := self.client.InsertRow(row)
if err != nil {
return err
}
return nil
}
func (self *bigqueryStorage) RecentStats(containerName string, numStats int) ([]*info.ContainerStats, error) {
if numStats == 0 {
return nil, nil
}
tableName, err := self.client.GetTableName()
if err != nil {
return nil, err
}
query := fmt.Sprintf("SELECT * FROM %v WHERE %v='%v' and %v='%v'", tableName, colContainerName, containerName, colMachineName, self.machineName)
if numStats > 0 {
query = fmt.Sprintf("%v LIMIT %v", query, numStats)
}
header, rows, err := self.client.Query(query)
if err != nil {
return nil, err
}
statsList := make([]*info.ContainerStats, 0, len(rows))
for _, row := range rows {
stats, err := self.valuesToContainerStats(header, row)
if err != nil {
return nil, err
}
if stats == nil {
continue
}
statsList = append(statsList, stats)
}
return statsList, nil
}
func (self *bigqueryStorage) Samples(containerName string, numSamples int) ([]*info.ContainerStatsSample, error) {
if numSamples == 0 {
return nil, nil
}
tableName, err := self.client.GetTableName()
if err != nil {
return nil, err
}
query := fmt.Sprintf("SELECT * FROM %v WHERE %v='%v' and %v='%v'", tableName, colContainerName, containerName, colMachineName, self.machineName)
if numSamples > 0 {
query = fmt.Sprintf("%v LIMIT %v", query, numSamples)
}
header, rows, err := self.client.Query(query)
if err != nil {
return nil, err
}
sampleList := make([]*info.ContainerStatsSample, 0, len(rows))
for _, row := range rows {
sample, err := self.valuesToContainerSample(header, row)
if err != nil {
return nil, err
}
if sample == nil {
continue
}
sampleList = append(sampleList, sample)
}
return sampleList, nil
}
func (self *bigqueryStorage) Close() error {
self.client.Close()
self.client = nil
return nil
}
func (self *bigqueryStorage) Percentiles(
containerName string,
cpuUsagePercentiles []int,
memUsagePercentiles []int,
) (*info.ContainerStatsPercentiles, error) {
selectedCol := make([]string, 0, len(cpuUsagePercentiles)+len(memUsagePercentiles)+1)
selectedCol = append(selectedCol, fmt.Sprintf("max(%v)", colMemoryUsage))
for _, p := range cpuUsagePercentiles {
selectedCol = append(selectedCol, fmt.Sprintf("percentile(%v, %v)", colCpuInstantUsage, p))
}
for _, p := range memUsagePercentiles {
selectedCol = append(selectedCol, fmt.Sprintf("percentile(%v, %v)", colMemoryUsage, p))
}
tableName, err := self.client.GetTableName()
if err != nil {
return nil, err
}
query := fmt.Sprintf("SELECT %v FROM %v WHERE %v='%v' AND %v='%v' AND timestamp > DATE_ADD(CURRENT_TIMESTAMP(), -%v, 'SECOND')",
strings.Join(selectedCol, ","),
tableName,
colContainerName,
containerName,
colMachineName,
self.machineName,
self.windowLen.Seconds(),
)
_, rows, err := self.client.Query(query)
if err != nil {
return nil, err
}
if len(rows) != 1 {
return nil, nil
}
point := rows[0]
ret := new(info.ContainerStatsPercentiles)
ret.MaxMemoryUsage, err = convertToUint64(point[0])
if err != nil {
return nil, fmt.Errorf("invalid max memory usage: %v", err)
}
retrievedCpuPercentiles := point[1 : 1+len(cpuUsagePercentiles)]
for i, p := range cpuUsagePercentiles {
v, err := convertToUint64(retrievedCpuPercentiles[i])
if err != nil {
return nil, fmt.Errorf("invalid cpu usage: %v", err)
}
ret.CpuUsagePercentiles = append(
ret.CpuUsagePercentiles,
info.Percentile{
Percentage: p,
Value: v,
},
)
}
retrievedMemoryPercentiles := point[1+len(cpuUsagePercentiles):]
for i, p := range memUsagePercentiles {
v, err := convertToUint64(retrievedMemoryPercentiles[i])
if err != nil {
return nil, fmt.Errorf("invalid memory usage: %v", err)
}
ret.MemoryUsagePercentiles = append(
ret.MemoryUsagePercentiles,
info.Percentile{
Percentage: p,
Value: v,
},
)
}
return ret, nil
}
// Create a new bigquery storage driver.
// machineName: A unique identifier to identify the host that current cAdvisor
// instance is running on.
// tableName: BigQuery table used for storing stats.
// percentilesDuration: Time window which will be considered when calls Percentiles()
func New(machineName,
datasetId,
tableName string,
percentilesDuration time.Duration,
) (storage.StorageDriver, error) {
bqClient, err := client.NewClient()
if err != nil {
return nil, err
}
err = bqClient.CreateDataset(datasetId)
if err != nil {
return nil, err
}
if percentilesDuration.Seconds() < 1.0 {
percentilesDuration = 5 * time.Minute
}
ret := &bigqueryStorage{
client: bqClient,
windowLen: percentilesDuration,
machineName: machineName,
}
schema := ret.GetSchema()
err = bqClient.CreateTable(tableName, schema)
if err != nil {
return nil, err
}
return ret, nil
}

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@ -0,0 +1,266 @@
// Copyright 2014 Google Inc. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package client
import (
"code.google.com/p/goauth2/oauth"
"code.google.com/p/goauth2/oauth/jwt"
bigquery "code.google.com/p/google-api-go-client/bigquery/v2"
"flag"
"fmt"
"io/ioutil"
"net/http"
"strings"
)
var (
// TODO(jnagal): Condense all flags to an identity file and a pem key file.
clientId = flag.String("bq_id", "", "Client ID")
clientSecret = flag.String("bq_secret", "notasecret", "Client Secret")
projectId = flag.String("bq_project_id", "", "Bigquery project ID")
serviceAccount = flag.String("bq_account", "", "Service account email")
pemFile = flag.String("bq_credentials_file", "", "Credential Key file (pem)")
)
const (
errAlreadyExists string = "Error 409: Already Exists"
queryLimit int64 = 200
)
type Client struct {
service *bigquery.Service
token *oauth.Token
datasetId string
tableId string
}
func connect() (*oauth.Token, *bigquery.Service, error) {
if *clientId == "" {
return nil, nil, fmt.Errorf("No client id specified")
}
if *serviceAccount == "" {
return nil, nil, fmt.Errorf("No service account specified")
}
if *projectId == "" {
return nil, nil, fmt.Errorf("No project id specified")
}
authScope := bigquery.BigqueryScope
if *pemFile == "" {
return nil, nil, fmt.Errorf("No credentials specified")
}
pemBytes, err := ioutil.ReadFile(*pemFile)
if err != nil {
return nil, nil, fmt.Errorf("Could not access credential file %v - %v", pemFile, err)
}
t := jwt.NewToken(*serviceAccount, authScope, pemBytes)
token, err := t.Assert(&http.Client{})
if err != nil {
fmt.Printf("Invalid token: %v\n", err)
return nil, nil, err
}
config := &oauth.Config{
ClientId: *clientId,
ClientSecret: *clientSecret,
Scope: authScope,
AuthURL: "https://accounts.google.com/o/oauth2/auth",
TokenURL: "https://accounts.google.com/o/oauth2/token",
}
transport := &oauth.Transport{
Token: token,
Config: config,
}
client := transport.Client()
service, err := bigquery.New(client)
if err != nil {
fmt.Printf("Failed to create new service: %v\n", err)
return nil, nil, err
}
return token, service, nil
}
func NewClient() (*Client, error) {
token, service, err := connect()
if err != nil {
return nil, err
}
c := &Client{
token: token,
service: service,
}
return c, nil
}
func (c *Client) Close() error {
c.service = nil
return nil
}
func (c *Client) getService() (*bigquery.Service, error) {
if c.token == nil || c.service == nil {
return nil, fmt.Errorf("Service not initialized")
}
// Refresh expired token.
if c.token.Expired() {
token, service, err := connect()
if err != nil {
return nil, err
}
c.token = token
c.service = service
return service, nil
}
return c.service, nil
}
func (c *Client) PrintDatasets() error {
datasetList, err := c.service.Datasets.List(*projectId).Do()
if err != nil {
fmt.Printf("Failed to get list of datasets\n")
return err
} else {
fmt.Printf("Successfully retrieved datasets. Retrieved: %d\n", len(datasetList.Datasets))
}
for _, d := range datasetList.Datasets {
fmt.Printf("%s %s\n", d.Id, d.FriendlyName)
}
return nil
}
func (c *Client) CreateDataset(datasetId string) error {
if c.service == nil {
return fmt.Errorf("No service created")
}
_, err := c.service.Datasets.Insert(*projectId, &bigquery.Dataset{
DatasetReference: &bigquery.DatasetReference{
DatasetId: datasetId,
ProjectId: *projectId,
},
}).Do()
// TODO(jnagal): Do a Get() to verify dataset already exists.
if err != nil && !strings.Contains(err.Error(), errAlreadyExists) {
return err
}
c.datasetId = datasetId
return nil
}
func (c *Client) CreateTable(tableId string, schema *bigquery.TableSchema) error {
if c.service == nil || c.datasetId == "" {
return fmt.Errorf("No dataset created")
}
_, err := c.service.Tables.Get(*projectId, c.datasetId, tableId).Do()
if err != nil {
// Create a new table.
_, err := c.service.Tables.Insert(*projectId, c.datasetId, &bigquery.Table{
Schema: schema,
TableReference: &bigquery.TableReference{
DatasetId: c.datasetId,
ProjectId: *projectId,
TableId: tableId,
},
}).Do()
if err != nil {
return err
}
}
// TODO(jnagal): Update schema if it has changed. We can only extend existing schema.
c.tableId = tableId
return nil
}
func (c *Client) InsertRow(rowData map[string]interface{}) error {
service, _ := c.getService()
if service == nil || c.datasetId == "" || c.tableId == "" {
return fmt.Errorf("Table not setup to add rows")
}
jsonRows := make(map[string]bigquery.JsonValue)
for key, value := range rowData {
jsonRows[key] = bigquery.JsonValue(value)
}
rows := []*bigquery.TableDataInsertAllRequestRows{
{
Json: jsonRows,
},
}
// TODO(jnagal): Batch insert requests.
insertRequest := &bigquery.TableDataInsertAllRequest{Rows: rows}
result, err := service.Tabledata.InsertAll(*projectId, c.datasetId, c.tableId, insertRequest).Do()
if err != nil {
return fmt.Errorf("Error inserting row: %v", err)
}
if len(result.InsertErrors) > 0 {
return fmt.Errorf("Insertion for %d rows failed")
}
return nil
}
func (c *Client) GetTableName() (string, error) {
if c.service == nil || c.datasetId == "" || c.tableId == "" {
return "", fmt.Errorf("Table not setup")
}
return fmt.Sprintf("%s.%s", c.datasetId, c.tableId), nil
}
func (c *Client) Query(query string) ([]string, [][]interface{}, error) {
service, err := c.getService()
if err != nil {
return nil, nil, err
}
datasetRef := &bigquery.DatasetReference{
DatasetId: c.datasetId,
ProjectId: *projectId,
}
queryRequest := &bigquery.QueryRequest{
DefaultDataset: datasetRef,
MaxResults: queryLimit,
Kind: "json",
Query: query,
}
results, err := service.Jobs.Query(*projectId, queryRequest).Do()
if err != nil {
return nil, nil, err
}
numRows := results.TotalRows
if numRows < 1 {
return nil, nil, fmt.Errorf("Query returned no data")
}
headers := []string{}
for _, col := range results.Schema.Fields {
headers = append(headers, col.Name)
}
rows := [][]interface{}{}
numColumns := len(results.Schema.Fields)
for _, data := range results.Rows {
row := make([]interface{}, numColumns)
for c := 0; c < numColumns; c++ {
row[c] = data.F[c].V
}
rows = append(rows, row)
}
return headers, rows, nil
}

View File

@ -0,0 +1,107 @@
// Copyright 2014 Google Inc. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package main
import (
"flag"
"fmt"
"github.com/SeanDolphin/bqschema"
"github.com/google/cadvisor/storage/bigquery/client"
"time"
)
type container struct {
Name string `json:"name"`
CpuUsage uint64 `json:"cpuusage,omitempty"`
MemoryUsage uint64 `json:"memoryusage,omitempty"`
NetworkUsage uint64 `json:"networkusage,omitempty"`
Timestamp time.Time `json:"timestamp"`
}
func main() {
flag.Parse()
c, err := client.NewClient()
if err != nil {
fmt.Printf("Failed to connect to bigquery\n")
panic(err)
}
c.PrintDatasets()
// Create a new dataset.
err = c.CreateDataset("sampledataset")
if err != nil {
fmt.Printf("Failed to create dataset %v\n", err)
panic(err)
}
// Create a new table
containerData := container{
Name: "test_container",
CpuUsage: 123456,
MemoryUsage: 1024,
NetworkUsage: 9046,
Timestamp: time.Now(),
}
schema, err := bqschema.ToSchema(containerData)
if err != nil {
fmt.Printf("Failed to create schema")
panic(err)
}
err = c.CreateTable("sampletable", schema)
if err != nil {
fmt.Printf("Failed to create table")
panic(err)
}
// Add Data
m := make(map[string]interface{})
t := time.Now()
for i := 0; i < 10; i++ {
m["Name"] = containerData.Name
m["CpuUsage"] = containerData.CpuUsage + uint64(i*100)
m["MemoryUsage"] = containerData.MemoryUsage - uint64(i*10)
m["NetworkUsage"] = containerData.NetworkUsage + uint64(i*10)
m["Timestamp"] = t.Add(time.Duration(i) * time.Second)
err = c.InsertRow(m)
if err != nil {
fmt.Printf("Failed to insert row")
panic(err)
}
}
// Query
tableName, err := c.GetTableName()
if err != nil {
fmt.Printf("table not set")
panic(err)
}
query := "SELECT * FROM " + tableName + " ORDER BY Timestamp LIMIT 100"
header, rows, err := c.Query(query)
if err != nil {
fmt.Printf("Failed query")
panic(err)
}
fmt.Printf("Headers: %v", header)
for _, row := range rows {
for i, val := range row {
fmt.Printf("%s:%v ", header[i], val)
}
fmt.Printf("\n")
}
}

View File

@ -21,6 +21,7 @@ import (
"time"
"github.com/google/cadvisor/storage"
"github.com/google/cadvisor/storage/bigquery"
"github.com/google/cadvisor/storage/cache"
"github.com/google/cadvisor/storage/influxdb"
"github.com/google/cadvisor/storage/memory"
@ -53,7 +54,7 @@ func NewStorageDriver(driverName string) (storage.StorageDriver, error) {
storageDriver, err = influxdb.New(
hostname,
"cadvisorTable",
"cadvisor",
*argDbName,
*argDbUsername,
*argDbPassword,
@ -63,6 +64,19 @@ func NewStorageDriver(driverName string) (storage.StorageDriver, error) {
1*time.Hour,
)
storageDriver = cache.MemoryCache(*argHistoryDuration, *argHistoryDuration, storageDriver)
case "bigquery":
var hostname string
hostname, err = os.Hostname()
if err != nil {
return nil, err
}
storageDriver, err = bigquery.New(
hostname,
"cadvisor",
*argDbName,
1*time.Hour,
)
storageDriver = cache.MemoryCache(*argHistoryDuration, *argHistoryDuration, storageDriver)
default:
err = fmt.Errorf("Unknown database driver: %v", *argDbDriver)
}