bigquery

package
v0.15.0 Latest Latest
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 Go to latest Published: Oct 3, 2017 License: Apache-2.0 Imports: 25 Imported by: 0

Documentation

Overview

Package bigquery provides a client for the BigQuery service.

Note: This package is in beta. Some backwards-incompatible changes may occur.

The following assumes a basic familiarity with BigQuery concepts. See https://cloud.google.com/bigquery/docs.

Creating a Client

To start working with this package, create a client: 

ctx := context.Background()
client, err := bigquery.NewClient(ctx, projectID)
if err != nil {
    // TODO: Handle error.
}

Querying

To query existing tables, create a Query and call its Read method: 

q := client.Query(`
    SELECT year, SUM(number) as num
    FROM [bigquery-public-data:usa_names.usa_1910_2013]
    WHERE name = "William"
    GROUP BY year
    ORDER BY year
`)
it, err := q.Read(ctx)
if err != nil {
    // TODO: Handle error.
}

Then iterate through the resulting rows. You can store a row using anything that implements the ValueLoader interface, or with a slice or map of bigquery.Value. A slice is simplest: 

for {
    var values []bigquery.Value
    err := it.Next(&values)
    if err == iterator.Done {
        break
    }
    if err != nil {
        // TODO: Handle error.
    }
    fmt.Println(values)
}

You can also use a struct whose exported fields match the query: 

type Count struct {
    Year int
    Num  int
}
for {
    var c Count
    err := it.Next(&c)
    if err == iterator.Done {
        break
    }
    if err != nil {
        // TODO: Handle error.
    }
    fmt.Println(c)
}

You can also start the query running and get the results later. Create the query as above, but call Run instead of Read. This returns a Job, which represents an asychronous operation. 

job, err := q.Run(ctx)
if err != nil {
    // TODO: Handle error.
}

Get the job's ID, a printable string. You can save this string to retrieve the results at a later time, even in another process. 

jobID := job.ID()
fmt.Printf("The job ID is %s\n", jobID)

To retrieve the job's results from the ID, first look up the Job: 

job, err = client.JobFromID(ctx, jobID)
if err != nil {
    // TODO: Handle error.
}

Use the Job.Read method to obtain an iterator, and loop over the rows. Query.Read is just a convenience method that combines Query.Run and Job.Read. 

it, err = job.Read(ctx)
if err != nil {
    // TODO: Handle error.
}
// Proceed with iteration as above.

Datasets and Tables

You can refer to datasets in the client's project with the Dataset method, and in other projects with the DatasetInProject method: 

myDataset := client.Dataset("my_dataset")
yourDataset := client.DatasetInProject("your-project-id", "your_dataset")

These methods create references to datasets, not the datasets themselves. You can have a dataset reference even if the dataset doesn't exist yet. Use Dataset.Create to create a dataset from a reference: 

if err := myDataset.Create(ctx, nil); err != nil {
    // TODO: Handle error.
}

You can refer to tables with Dataset.Table. Like bigquery.Dataset, bigquery.Table is a reference to an object in BigQuery that may or may not exist. 

table := myDataset.Table("my_table")

You can create, delete and update the metadata of tables with methods on Table. For instance, you could create a temporary table with: 

err = myDataset.Table("temp").Create(ctx, &bigquery.TableMetadata{
    ExpirationTime: time.Now().Add(1*time.Hour)})
if err != nil {
    // TODO: Handle error.
}

We'll see how to create a table with a schema in the next section.

Schemas

There are two ways to construct schemas with this package. You can build a schema by hand, like so: 

schema1 := bigquery.Schema{
    &bigquery.FieldSchema{Name: "Name", Required: true, Type: bigquery.StringFieldType},
    &bigquery.FieldSchema{Name: "Grades", Repeated: true, Type: bigquery.IntegerFieldType},
}

Or you can infer the schema from a struct: 

type student struct {
    Name   string
    Grades []int
}
schema2, err := bigquery.InferSchema(student{})
if err != nil {
    // TODO: Handle error.
}
// schema1 and schema2 are identical.

Struct inference supports tags like those of the encoding/json package, so you can change names or ignore fields: 

type student2 struct {
    Name   string `bigquery:"full_name"`
    Grades []int
    Secret string `bigquery:"-"`
}
schema3, err := bigquery.InferSchema(student2{})
if err != nil {
    // TODO: Handle error.
}
// schema3 has fields "full_name" and "Grade".

Having constructed a schema, you can create a table with it like so: 

if err := table.Create(ctx, &bigquery.TableMetadata{Schema: schema1}); err != nil {
    // TODO: Handle error.
}

Copying

You can copy one or more tables to another table. Begin by constructing a Copier describing the copy. Then set any desired copy options, and finally call Run to get a Job: 

copier := myDataset.Table("dest").CopierFrom(myDataset.Table("src"))
copier.WriteDisposition = bigquery.WriteTruncate
job, err = copier.Run(ctx)
if err != nil {
    // TODO: Handle error.
}

You can chain the call to Run if you don't want to set options: 

job, err = myDataset.Table("dest").CopierFrom(myDataset.Table("src")).Run(ctx)
if err != nil {
    // TODO: Handle error.
}

You can wait for your job to complete: 

status, err := job.Wait(ctx)
if err != nil {
    // TODO: Handle error.
}

Job.Wait polls with exponential backoff. You can also poll yourself, if you wish: 

for {
    status, err := job.Status(ctx)
    if err != nil {
        // TODO: Handle error.
    }
    if status.Done() {
        if status.Err() != nil {
            log.Fatalf("Job failed with error %v", status.Err())
        }
        break
    }
    time.Sleep(pollInterval)
}

Loading and Uploading

There are two ways to populate a table with this package: load the data from a Google Cloud Storage object, or upload rows directly from your program.

For loading, first create a GCSReference, configuring it if desired. Then make a Loader, optionally configure it as well, and call its Run method. 

gcsRef := bigquery.NewGCSReference("gs://my-bucket/my-object")
gcsRef.AllowJaggedRows = true
loader := myDataset.Table("dest").LoaderFrom(gcsRef)
loader.CreateDisposition = bigquery.CreateNever
job, err = loader.Run(ctx)
// Poll the job for completion if desired, as above.

To upload, first define a type that implements the ValueSaver interface, which has a single method named Save. Then create an Uploader, and call its Put method with a slice of values. 

u := table.Uploader()
// Item implements the ValueSaver interface.
items := []*Item{
    {Name: "n1", Size: 32.6, Count: 7},
    {Name: "n2", Size: 4, Count: 2},
    {Name: "n3", Size: 101.5, Count: 1},
}
if err := u.Put(ctx, items); err != nil {
    // TODO: Handle error.
}

You can also upload a struct that doesn't implement ValueSaver. Use the StructSaver type to specify the schema and insert ID by hand, or just supply the struct or struct pointer directly and the schema will be inferred: 

type Item2 struct {
    Name  string
    Size  float64
    Count int
}
// Item implements the ValueSaver interface.
items2 := []*Item2{
    {Name: "n1", Size: 32.6, Count: 7},
    {Name: "n2", Size: 4, Count: 2},
    {Name: "n3", Size: 101.5, Count: 1},
}
if err := u.Put(ctx, items2); err != nil {
    // TODO: Handle error.
}

Extracting

If you've been following so far, extracting data from a BigQuery table into a Google Cloud Storage object will feel familiar. First create an Extractor, then optionally configure it, and lastly call its Run method. 

extractor := table.ExtractorTo(gcsRef)
extractor.DisableHeader = true
job, err = extractor.Run(ctx)
// Poll the job for completion if desired, as above.

Authentication

See examples of authorization and authentication at https://godoc.org/cloud.google.com/go#pkg-examples.

Index

Examples

Constants

View Source 
const Scope = "https://www.googleapis.com/auth/bigquery"

Variables

This section is empty.

Functions

This section is empty.

Types

type Client 

type Client struct {
	// contains filtered or unexported fields
}

Client may be used to perform BigQuery operations.

func NewClient 

func NewClient(ctx context.Context, projectID string, opts ...option.ClientOption) (*Client, error)

NewClient constructs a new Client which can perform BigQuery operations. Operations performed via the client are billed to the specified GCP project.

Example 
package main

import (
	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
)

func main() {
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}
	_ = client // TODO: Use client.
}

Output:

func (*Client) Close 

func (c *Client) Close() error

Close closes any resources held by the client. Close should be called when the client is no longer needed. It need not be called at program exit.

func (*Client) Dataset 

func (c *Client) Dataset(id string) *Dataset

Dataset creates a handle to a BigQuery dataset in the client's project.

Example 
package main

import (
	"fmt"

	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
)

func main() {
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}
	ds := client.Dataset("my_dataset")
	fmt.Println(ds)
}

Output:

func (*Client) DatasetInProject 

func (c *Client) DatasetInProject(projectID, datasetID string) *Dataset

DatasetInProject creates a handle to a BigQuery dataset in the specified project.

Example 
package main

import (
	"fmt"

	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
)

func main() {
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}
	ds := client.DatasetInProject("their-project-id", "their-dataset")
	fmt.Println(ds)
}

Output:

func (*Client) Datasets 

func (c *Client) Datasets(ctx context.Context) *DatasetIterator

Datasets returns an iterator over the datasets in a project. The Client's project is used by default, but that can be changed by setting ProjectID on the returned iterator before calling Next.

Example 
package main

import (
	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
)

func main() {
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}
	it := client.Datasets(ctx)
	_ = it // TODO: iterate using Next or iterator.Pager.
}

Output:

func (*Client) DatasetsInProject deprecated 

func (c *Client) DatasetsInProject(ctx context.Context, projectID string) *DatasetIterator

DatasetsInProject returns an iterator over the datasets in the provided project.

Deprecated: call Client.Datasets, then set ProjectID on the returned iterator.

Example 
package main

import (
	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
)

func main() {
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}
	it := client.DatasetsInProject(ctx, "their-project-id")
	_ = it // TODO: iterate using Next or iterator.Pager.
}

Output:

func (*Client) JobFromID 

func (c *Client) JobFromID(ctx context.Context, id string) (*Job, error)

JobFromID creates a Job which refers to an existing BigQuery job. The job need not have been created by this package. For example, the job may have been created in the BigQuery console.

Example 
package main

import (
	"fmt"

	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
)

func getJobID() string { return "" }

func main() {
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}
	jobID := getJobID() // Get a job ID using Job.ID, the console or elsewhere.
	job, err := client.JobFromID(ctx, jobID)
	if err != nil {
		// TODO: Handle error.
	}
	fmt.Println(job)
}

Output:

func (*Client) Jobs added in v0.15.0 

func (c *Client) Jobs(ctx context.Context) *JobIterator

Jobs lists jobs within a project.

func (*Client) Query 

func (c *Client) Query(q string) *Query

Query creates a query with string q. The returned Query may optionally be further configured before its Run method is called.

Example 
package main

import (
	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
)

func main() {
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}
	q := client.Query("select name, num from t1")
	q.DefaultProjectID = "project-id"
	// TODO: set other options on the Query.
	// TODO: Call Query.Run or Query.Read.
}

Output:
Example (Parameters) 
package main

import (
	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
)

func main() {
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}
	q := client.Query("select num from t1 where name = @user")
	q.Parameters = []bigquery.QueryParameter{
		{Name: "user", Value: "Elizabeth"},
	}
	// TODO: set other options on the Query.
	// TODO: Call Query.Run or Query.Read.
}

Output:

type Compression 

type Compression string

Compression is the type of compression to apply when writing data to Google Cloud Storage. 

const (
	None Compression = "NONE"
	Gzip Compression = "GZIP"
)

type Copier 

type Copier struct {
	CopyConfig
	// contains filtered or unexported fields
}

A Copier copies data into a BigQuery table from one or more BigQuery tables.

func (*Copier) Run 

func (c *Copier) Run(ctx context.Context) (*Job, error)

Run initiates a copy job.

type CopyConfig 

type CopyConfig struct {
	// JobID is the ID to use for the job. If empty, a random job ID will be generated.
	JobID string

	// If AddJobIDSuffix is true, then a random string will be appended to JobID.
	AddJobIDSuffix bool

	// Srcs are the tables from which data will be copied.
	Srcs []*Table

	// Dst is the table into which the data will be copied.
	Dst *Table

	// CreateDisposition specifies the circumstances under which the destination table will be created.
	// The default is CreateIfNeeded.
	CreateDisposition TableCreateDisposition

	// WriteDisposition specifies how existing data in the destination table is treated.
	// The default is WriteAppend.
	WriteDisposition TableWriteDisposition
}

CopyConfig holds the configuration for a copy job.

type DataFormat 

type DataFormat string

DataFormat describes the format of BigQuery table data. 

const (
	CSV             DataFormat = "CSV"
	Avro            DataFormat = "AVRO"
	JSON            DataFormat = "NEWLINE_DELIMITED_JSON"
	DatastoreBackup DataFormat = "DATASTORE_BACKUP"
)

Constants describing the format of BigQuery table data.

type Dataset 

type Dataset struct {
	ProjectID string
	DatasetID string
	// contains filtered or unexported fields
}

Dataset is a reference to a BigQuery dataset.

func (*Dataset) Create 

func (d *Dataset) Create(ctx context.Context, md *DatasetMetadata) error

Create creates a dataset in the BigQuery service. An error will be returned if the dataset already exists. Pass in a DatasetMetadata value to configure the dataset.

Example 
package main

import (
	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
)

func main() {
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}
	ds := client.Dataset("my_dataset")
	if err := ds.Create(ctx, &bigquery.DatasetMetadata{Location: "EU"}); err != nil {
		// TODO: Handle error.
	}
}

Output:

func (*Dataset) Delete added in v0.7.0 

func (d *Dataset) Delete(ctx context.Context) error

Delete deletes the dataset.

Example 
package main

import (
	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
)

func main() {
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}
	if err := client.Dataset("my_dataset").Delete(ctx); err != nil {
		// TODO: Handle error.
	}
}

Output:

func (*Dataset) Metadata added in v0.7.0 

func (d *Dataset) Metadata(ctx context.Context) (*DatasetMetadata, error)

Metadata fetches the metadata for the dataset.

Example 
package main

import (
	"fmt"

	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
)

func main() {
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}
	md, err := client.Dataset("my_dataset").Metadata(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	fmt.Println(md)
}

Output:

func (*Dataset) Table 

func (d *Dataset) Table(tableID string) *Table

Table creates a handle to a BigQuery table in the dataset. To determine if a table exists, call Table.Metadata. If the table does not already exist, use Table.Create to create it.

Example 
package main

import (
	"fmt"

	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
)

func main() {
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}
	// Table creates a reference to the table. It does not create the actual
	// table in BigQuery; to do so, use Table.Create.
	t := client.Dataset("my_dataset").Table("my_table")
	fmt.Println(t)
}

Output:

func (*Dataset) Tables 

func (d *Dataset) Tables(ctx context.Context) *TableIterator

Tables returns an iterator over the tables in the Dataset.

Example 
package main

import (
	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
)

func main() {
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}
	it := client.Dataset("my_dataset").Tables(ctx)
	_ = it // TODO: iterate using Next or iterator.Pager.
}

Output:

func (*Dataset) Update added in v0.15.0 

func (d *Dataset) Update(ctx context.Context, dm DatasetMetadataToUpdate, etag string) (*DatasetMetadata, error)

Update modifies specific Dataset metadata fields. To perform a read-modify-write that protects against intervening reads, set the etag argument to the DatasetMetadata.ETag field from the read. Pass the empty string for etag for a "blind write" that will always succeed.

Example (BlindWrite)

To perform a blind write, ignoring the existing state (and possibly overwriting other updates), pass the empty string as the etag. 

package main

import (
	"fmt"

	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
)

func main() {
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}
	md, err := client.Dataset("my_dataset").Update(ctx, bigquery.DatasetMetadataToUpdate{Name: "blind"}, "")
	if err != nil {
		// TODO: Handle error.
	}
	fmt.Println(md)
}

Output:
Example (ReadModifyWrite)

This example illustrates how to perform a read-modify-write sequence on dataset metadata. Passing the metadata's ETag to the Update call ensures that the call will fail if the metadata was changed since the read. 

package main

import (
	"fmt"

	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
)

func main() {
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}
	ds := client.Dataset("my_dataset")
	md, err := ds.Metadata(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	md2, err := ds.Update(ctx,
		bigquery.DatasetMetadataToUpdate{Name: "new " + md.Name},
		md.ETag)
	if err != nil {
		// TODO: Handle error.
	}
	fmt.Println(md2)
}

Output:

type DatasetIterator 

type DatasetIterator struct {
	// ListHidden causes hidden datasets to be listed when set to true.
	// Set before the first call to Next.
	ListHidden bool

	// Filter restricts the datasets returned by label. The filter syntax is described in
	// https://cloud.google.com/bigquery/docs/labeling-datasets#filtering_datasets_using_labels
	// Set before the first call to Next.
	Filter string

	// The project ID of the listed datasets.
	// Set before the first call to Next.
	ProjectID string
	// contains filtered or unexported fields
}

DatasetIterator iterates over the datasets in a project.

func (*DatasetIterator) Next 

func (it *DatasetIterator) Next() (*Dataset, error)
Example 
package main

import (
	"fmt"

	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
	"google.golang.org/api/iterator"
)

func main() {
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}
	it := client.Datasets(ctx)
	for {
		ds, err := it.Next()
		if err == iterator.Done {
			break
		}
		if err != nil {
			// TODO: Handle error.
		}
		fmt.Println(ds)
	}
}

Output:

func (*DatasetIterator) PageInfo 

func (it *DatasetIterator) PageInfo() *iterator.PageInfo

PageInfo supports pagination. See the google.golang.org/api/iterator package for details.

type DatasetMetadata added in v0.7.0 

type DatasetMetadata struct {
	// These fields can be set when creating a dataset.
	Name                   string            // The user-friendly name for this dataset.
	Description            string            // The user-friendly description of this dataset.
	Location               string            // The geo location of the dataset.
	DefaultTableExpiration time.Duration     // The default expiration time for new tables.
	Labels                 map[string]string // User-provided labels.

	// These fields are read-only.
	CreationTime     time.Time
	LastModifiedTime time.Time // When the dataset or any of its tables were modified.
	FullID           string    // The full dataset ID in the form projectID:datasetID.

	// ETag is the ETag obtained when reading metadata. Pass it to Dataset.Update to
	// ensure that the metadata hasn't changed since it was read.
	ETag string
}

DatasetMetadata contains information about a BigQuery dataset.

type DatasetMetadataToUpdate added in v0.15.0 

type DatasetMetadataToUpdate struct {
	Description optional.String // The user-friendly description of this table.
	Name        optional.String // The user-friendly name for this dataset.
	// DefaultTableExpiration is the the default expiration time for new tables.
	// If set to time.Duration(0), new tables never expire.
	DefaultTableExpiration optional.Duration
	// contains filtered or unexported fields
}

DatasetMetadataToUpdate is used when updating a dataset's metadata. Only non-nil fields will be updated.

func (*DatasetMetadataToUpdate) DeleteLabel added in v0.15.0 

func (dm *DatasetMetadataToUpdate) DeleteLabel(name string)

DeleteLabel causes a label to be deleted when dm is used in a call to Dataset.Update.

func (*DatasetMetadataToUpdate) SetLabel added in v0.15.0 

func (dm *DatasetMetadataToUpdate) SetLabel(name, value string)

SetLabel causes a label to be added or modified when dm is used in a call to Dataset.Update.

type Encoding 

type Encoding string

Encoding specifies the character encoding of data to be loaded into BigQuery. See https://cloud.google.com/bigquery/docs/reference/v2/jobs#configuration.load.encoding for more details about how this is used. 

const (
	UTF_8      Encoding = "UTF-8"
	ISO_8859_1 Encoding = "ISO-8859-1"
)

type Error 

type Error struct {
	// Mirrors bq.ErrorProto, but drops DebugInfo
	Location, Message, Reason string
}

An Error contains detailed information about a failed bigquery operation.

func (Error) Error 

func (e Error) Error() string

type ExplainQueryStage added in v0.8.0 

type ExplainQueryStage struct {
	// Relative amount of the total time the average shard spent on CPU-bound tasks.
	ComputeRatioAvg float64

	// Relative amount of the total time the slowest shard spent on CPU-bound tasks.
	ComputeRatioMax float64

	// Unique ID for stage within plan.
	ID int64

	// Human-readable name for stage.
	Name string

	// Relative amount of the total time the average shard spent reading input.
	ReadRatioAvg float64

	// Relative amount of the total time the slowest shard spent reading input.
	ReadRatioMax float64

	// Number of records read into the stage.
	RecordsRead int64

	// Number of records written by the stage.
	RecordsWritten int64

	// Current status for the stage.
	Status string

	// List of operations within the stage in dependency order (approximately
	// chronological).
	Steps []*ExplainQueryStep

	// Relative amount of the total time the average shard spent waiting to be scheduled.
	WaitRatioAvg float64

	// Relative amount of the total time the slowest shard spent waiting to be scheduled.
	WaitRatioMax float64

	// Relative amount of the total time the average shard spent on writing output.
	WriteRatioAvg float64

	// Relative amount of the total time the slowest shard spent on writing output.
	WriteRatioMax float64
}

ExplainQueryStage describes one stage of a query.

type ExplainQueryStep added in v0.8.0 

type ExplainQueryStep struct {
	// Machine-readable operation type.
	Kind string

	// Human-readable stage descriptions.
	Substeps []string
}

ExplainQueryStep describes one step of a query stage.

type ExternalData 

type ExternalData interface {
	// contains filtered or unexported methods
}

ExternalData is a table which is stored outside of BigQuery. It is implemented by GCSReference.

type ExtractConfig 

type ExtractConfig struct {
	// JobID is the ID to use for the job. If empty, a random job ID will be generated.
	JobID string

	// If AddJobIDSuffix is true, then a random string will be appended to JobID.
	AddJobIDSuffix bool

	// Src is the table from which data will be extracted.
	Src *Table

	// Dst is the destination into which the data will be extracted.
	Dst *GCSReference

	// DisableHeader disables the printing of a header row in exported data.
	DisableHeader bool
}

ExtractConfig holds the configuration for an extract job.

type ExtractStatistics added in v0.8.0 

type ExtractStatistics struct {
	// The number of files per destination URI or URI pattern specified in the
	// extract configuration. These values will be in the same order as the
	// URIs specified in the 'destinationUris' field.
	DestinationURIFileCounts []int64
}

ExtractStatistics contains statistics about an extract job.

type Extractor 

type Extractor struct {
	ExtractConfig
	// contains filtered or unexported fields
}

An Extractor extracts data from a BigQuery table into Google Cloud Storage.

func (*Extractor) Run 

func (e *Extractor) Run(ctx context.Context) (*Job, error)

Run initiates an extract job.

type FieldSchema 

type FieldSchema struct {
	// The field name.
	// Must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_),
	// and must start with a letter or underscore.
	// The maximum length is 128 characters.
	Name string

	// A description of the field. The maximum length is 16,384 characters.
	Description string

	// Whether the field may contain multiple values.
	Repeated bool
	// Whether the field is required.  Ignored if Repeated is true.
	Required bool

	// The field data type.  If Type is Record, then this field contains a nested schema,
	// which is described by Schema.
	Type FieldType
	// Describes the nested schema if Type is set to Record.
	Schema Schema
}

type FieldType 

type FieldType string
const (
	StringFieldType    FieldType = "STRING"
	BytesFieldType     FieldType = "BYTES"
	IntegerFieldType   FieldType = "INTEGER"
	FloatFieldType     FieldType = "FLOAT"
	BooleanFieldType   FieldType = "BOOLEAN"
	TimestampFieldType FieldType = "TIMESTAMP"
	RecordFieldType    FieldType = "RECORD"
	DateFieldType      FieldType = "DATE"
	TimeFieldType      FieldType = "TIME"
	DateTimeFieldType  FieldType = "DATETIME"
)

type FileConfig added in v0.7.0 

type FileConfig struct {
	// SourceFormat is the format of the GCS data to be read.
	// Allowed values are: CSV, Avro, JSON, DatastoreBackup.  The default is CSV.
	SourceFormat DataFormat

	// FieldDelimiter is the separator for fields in a CSV file, used when
	// reading or exporting data. The default is ",".
	FieldDelimiter string

	// The number of rows at the top of a CSV file that BigQuery will skip when
	// reading data.
	SkipLeadingRows int64

	// AllowJaggedRows causes missing trailing optional columns to be tolerated
	// when reading CSV data. Missing values are treated as nulls.
	AllowJaggedRows bool

	// AllowQuotedNewlines sets whether quoted data sections containing
	// newlines are allowed when reading CSV data.
	AllowQuotedNewlines bool

	// Indicates if we should automatically infer the options and
	// schema for CSV and JSON sources.
	AutoDetect bool

	// Encoding is the character encoding of data to be read.
	Encoding Encoding

	// MaxBadRecords is the maximum number of bad records that will be ignored
	// when reading data.
	MaxBadRecords int64

	// IgnoreUnknownValues causes values not matching the schema to be
	// tolerated. Unknown values are ignored. For CSV this ignores extra values
	// at the end of a line. For JSON this ignores named values that do not
	// match any column name. If this field is not set, records containing
	// unknown values are treated as bad records. The MaxBadRecords field can
	// be used to customize how bad records are handled.
	IgnoreUnknownValues bool

	// Schema describes the data. It is required when reading CSV or JSON data,
	// unless the data is being loaded into a table that already exists.
	Schema Schema

	// Quote is the value used to quote data sections in a CSV file. The
	// default quotation character is the double quote ("), which is used if
	// both Quote and ForceZeroQuote are unset.
	// To specify that no character should be interpreted as a quotation
	// character, set ForceZeroQuote to true.
	// Only used when reading data.
	Quote          string
	ForceZeroQuote bool
}

FileConfig contains configuration options that pertain to files, typically text files that require interpretation to be used as a BigQuery table. A file may live in Google Cloud Storage (see GCSReference), or it may be loaded into a table via the Table.LoaderFromReader.

type GCSReference 

type GCSReference struct {
	FileConfig

	// DestinationFormat is the format to use when writing exported files.
	// Allowed values are: CSV, Avro, JSON.  The default is CSV.
	// CSV is not supported for tables with nested or repeated fields.
	DestinationFormat DataFormat

	// Compression specifies the type of compression to apply when writing data
	// to Google Cloud Storage, or using this GCSReference as an ExternalData
	// source with CSV or JSON SourceFormat. Default is None.
	Compression Compression
	// contains filtered or unexported fields
}

GCSReference is a reference to one or more Google Cloud Storage objects, which together constitute an input or output to a BigQuery operation.

func NewGCSReference added in v0.7.0 

func NewGCSReference(uri ...string) *GCSReference

NewGCSReference constructs a reference to one or more Google Cloud Storage objects, which together constitute a data source or destination. In the simple case, a single URI in the form gs://bucket/object may refer to a single GCS object. Data may also be split into mutiple files, if multiple URIs or URIs containing wildcards are provided. Each URI may contain one '*' wildcard character, which (if present) must come after the bucket name. For more information about the treatment of wildcards and multiple URIs, see https://cloud.google.com/bigquery/exporting-data-from-bigquery#exportingmultiple

Example 
package main

import (
	"fmt"

	"cloud.google.com/go/bigquery"
)

func main() {
	gcsRef := bigquery.NewGCSReference("gs://my-bucket/my-object")
	fmt.Println(gcsRef)
}

Output:

type Job 

type Job struct {
	// contains filtered or unexported fields
}

A Job represents an operation which has been submitted to BigQuery for processing.

func (*Job) Cancel 

func (j *Job) Cancel(ctx context.Context) error

Cancel requests that a job be cancelled. This method returns without waiting for cancellation to take effect. To check whether the job has terminated, use Job.Status. Cancelled jobs may still incur costs.

func (*Job) ID 

func (j *Job) ID() string

ID returns the job's ID.

func (*Job) Read 

func (j *Job) Read(ctx context.Context) (*RowIterator, error)

Read fetches the results of a query job. If j is not a query job, Read returns an error.

Example 
package main

import (
	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
)

func main() {
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}
	q := client.Query("select name, num from t1")
	// Call Query.Run to get a Job, then call Read on the job.
	// Note: Query.Read is a shorthand for this.
	job, err := q.Run(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	it, err := job.Read(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	_ = it // TODO: iterate using Next or iterator.Pager.
}

Output:

func (*Job) Status 

func (j *Job) Status(ctx context.Context) (*JobStatus, error)

Status returns the current status of the job. It fails if the Status could not be determined.

func (*Job) Wait added in v0.7.0 

func (j *Job) Wait(ctx context.Context) (*JobStatus, error)

Wait blocks until the job or the context is done. It returns the final status of the job. If an error occurs while retrieving the status, Wait returns that error. But Wait returns nil if the status was retrieved successfully, even if status.Err() != nil. So callers must check both errors. See the example.

Example 
package main

import (
	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
)

func main() {
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}
	ds := client.Dataset("my_dataset")
	job, err := ds.Table("t1").CopierFrom(ds.Table("t2")).Run(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	status, err := job.Wait(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	if status.Err() != nil {
		// TODO: Handle error.
	}
}

Output:

type JobInfo added in v0.15.0 

type JobInfo struct {
	Job    *Job
	Status *JobStatus
}

A JobInfo consists of a Job and a JobStatus.

type JobIterator added in v0.15.0 

type JobIterator struct {
	ProjectID string // Project ID of the jobs to list. Default is the client's project.
	AllUsers  bool   // Whether to list jobs owned by all users in the project, or just the current caller.
	State     State  // List only jobs in the given state. Defaults to all states.
	// contains filtered or unexported fields
}

JobIterator iterates over jobs in a project.

func (*JobIterator) Next added in v0.15.0 

func (it *JobIterator) Next() (JobInfo, error)

func (*JobIterator) PageInfo added in v0.15.0 

func (it *JobIterator) PageInfo() *iterator.PageInfo

type JobStatistics added in v0.8.0 

type JobStatistics struct {
	CreationTime        time.Time
	StartTime           time.Time
	EndTime             time.Time
	TotalBytesProcessed int64

	Details Statistics
}

JobStatistics contains statistics about a job.

type JobStatus 

type JobStatus struct {
	State State

	// All errors encountered during the running of the job.
	// Not all Errors are fatal, so errors here do not necessarily mean that the job has completed or was unsuccessful.
	Errors []*Error

	// Statistics about the job.
	Statistics *JobStatistics
	// contains filtered or unexported fields
}

JobStatus contains the current State of a job, and errors encountered while processing that job.

func (*JobStatus) Done 

func (s *JobStatus) Done() bool

Done reports whether the job has completed. After Done returns true, the Err method will return an error if the job completed unsuccesfully.

func (*JobStatus) Err 

func (s *JobStatus) Err() error

Err returns the error that caused the job to complete unsuccesfully (if any).

type LoadConfig 

type LoadConfig struct {
	// JobID is the ID to use for the job. If empty, a random job ID will be generated.
	JobID string

	// If AddJobIDSuffix is true, then a random string will be appended to JobID.
	AddJobIDSuffix bool

	// Src is the source from which data will be loaded.
	Src LoadSource

	// Dst is the table into which the data will be loaded.
	Dst *Table

	// CreateDisposition specifies the circumstances under which the destination table will be created.
	// The default is CreateIfNeeded.
	CreateDisposition TableCreateDisposition

	// WriteDisposition specifies how existing data in the destination table is treated.
	// The default is WriteAppend.
	WriteDisposition TableWriteDisposition
}

LoadConfig holds the configuration for a load job.

type LoadSource added in v0.7.0 

type LoadSource interface {
	// contains filtered or unexported methods
}

A LoadSource represents a source of data that can be loaded into a BigQuery table.

This package defines two LoadSources: GCSReference, for Google Cloud Storage objects, and ReaderSource, for data read from an io.Reader.

type LoadStatistics added in v0.8.0 

type LoadStatistics struct {
	// The number of bytes of source data in a load job.
	InputFileBytes int64

	// The number of source files in a load job.
	InputFiles int64

	// Size of the loaded data in bytes. Note that while a load job is in the
	// running state, this value may change.
	OutputBytes int64

	// The number of rows imported in a load job. Note that while an import job is
	// in the running state, this value may change.
	OutputRows int64
}

LoadStatistics contains statistics about a load job.

type Loader 

type Loader struct {
	LoadConfig
	// contains filtered or unexported fields
}

A Loader loads data from Google Cloud Storage into a BigQuery table.

func (*Loader) Run 

func (l *Loader) Run(ctx context.Context) (*Job, error)

Run initiates a load job.

type MultiError 

type MultiError []error

A MultiError contains multiple related errors.

func (MultiError) Error 

func (m MultiError) Error() string

type PutMultiError 

type PutMultiError []RowInsertionError

PutMultiError contains an error for each row which was not successfully inserted into a BigQuery table.

func (PutMultiError) Error 

func (pme PutMultiError) Error() string

type Query 

type Query struct {
	QueryConfig
	// contains filtered or unexported fields
}

A Query queries data from a BigQuery table. Use Client.Query to create a Query.

func (*Query) Read 

func (q *Query) Read(ctx context.Context) (*RowIterator, error)

Read submits a query for execution and returns the results via a RowIterator. It is a shorthand for Query.Run followed by Job.Read.

Example 
package main

import (
	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
)

func main() {
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}
	q := client.Query("select name, num from t1")
	it, err := q.Read(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	_ = it // TODO: iterate using Next or iterator.Pager.
}

Output:

func (*Query) Run 

func (q *Query) Run(ctx context.Context) (*Job, error)

Run initiates a query job.

type QueryConfig 

type QueryConfig struct {
	// JobID is the ID to use for the job. If empty, a random job ID will be generated.
	JobID string

	// If AddJobIDSuffix is true, then a random string will be appended to JobID.
	AddJobIDSuffix bool

	// Dst is the table into which the results of the query will be written.
	// If this field is nil, a temporary table will be created.
	Dst *Table

	// The query to execute. See https://cloud.google.com/bigquery/query-reference for details.
	Q string

	// DefaultProjectID and DefaultDatasetID specify the dataset to use for unqualified table names in the query.
	// If DefaultProjectID is set, DefaultDatasetID must also be set.
	DefaultProjectID string
	DefaultDatasetID string

	// TableDefinitions describes data sources outside of BigQuery.
	// The map keys may be used as table names in the query string.
	TableDefinitions map[string]ExternalData

	// CreateDisposition specifies the circumstances under which the destination table will be created.
	// The default is CreateIfNeeded.
	CreateDisposition TableCreateDisposition

	// WriteDisposition specifies how existing data in the destination table is treated.
	// The default is WriteEmpty.
	WriteDisposition TableWriteDisposition

	// DisableQueryCache prevents results being fetched from the query cache.
	// If this field is false, results are fetched from the cache if they are available.
	// The query cache is a best-effort cache that is flushed whenever tables in the query are modified.
	// Cached results are only available when TableID is unspecified in the query's destination Table.
	// For more information, see https://cloud.google.com/bigquery/querying-data#querycaching
	DisableQueryCache bool

	// DisableFlattenedResults prevents results being flattened.
	// If this field is false, results from nested and repeated fields are flattened.
	// DisableFlattenedResults implies AllowLargeResults
	// For more information, see https://cloud.google.com/bigquery/docs/data#nested
	DisableFlattenedResults bool

	// AllowLargeResults allows the query to produce arbitrarily large result tables.
	// The destination must be a table.
	// When using this option, queries will take longer to execute, even if the result set is small.
	// For additional limitations, see https://cloud.google.com/bigquery/querying-data#largequeryresults
	AllowLargeResults bool

	// Priority specifies the priority with which to schedule the query.
	// The default priority is InteractivePriority.
	// For more information, see https://cloud.google.com/bigquery/querying-data#batchqueries
	Priority QueryPriority

	// MaxBillingTier sets the maximum billing tier for a Query.
	// Queries that have resource usage beyond this tier will fail (without
	// incurring a charge). If this field is zero, the project default will be used.
	MaxBillingTier int

	// MaxBytesBilled limits the number of bytes billed for
	// this job.  Queries that would exceed this limit will fail (without incurring
	// a charge).
	// If this field is less than 1, the project default will be
	// used.
	MaxBytesBilled int64

	// UseStandardSQL causes the query to use standard SQL. The default.
	UseStandardSQL bool

	// UseLegacySQL causes the query to use legacy SQL.
	UseLegacySQL bool

	// Parameters is a list of query parameters. The presence of parameters
	// implies the use of standard SQL.
	// If the query uses positional syntax ("?"), then no parameter may have a name.
	// If the query uses named syntax ("@p"), then all parameters must have names.
	// It is illegal to mix positional and named syntax.
	Parameters []QueryParameter
}

QueryConfig holds the configuration for a query job.

type QueryParameter added in v0.7.0 

type QueryParameter struct {
	// Name is used for named parameter mode.
	// It must match the name in the query case-insensitively.
	Name string

	// Value is the value of the parameter.
	// The following Go types are supported, with their corresponding
	// Bigquery types:
	// int, int8, int16, int32, int64, uint8, uint16, uint32: INT64
	//   Note that uint, uint64 and uintptr are not supported, because
	//   they may contain values that cannot fit into a 64-bit signed integer.
	// float32, float64: FLOAT64
	// bool: BOOL
	// string: STRING
	// []byte: BYTES
	// time.Time: TIMESTAMP
	// Arrays and slices of the above.
	// Structs of the above. Only the exported fields are used.
	Value interface{}
}

A QueryParameter is a parameter to a query.

type QueryPriority 

type QueryPriority string

QueryPriority specifies a priority with which a query is to be executed. 

const (
	BatchPriority       QueryPriority = "BATCH"
	InteractivePriority QueryPriority = "INTERACTIVE"
)

type QueryStatistics added in v0.8.0 

type QueryStatistics struct {
	// Billing tier for the job.
	BillingTier int64

	// Whether the query result was fetched from the query cache.
	CacheHit bool

	// The type of query statement, if valid.
	StatementType string

	// Total bytes billed for the job.
	TotalBytesBilled int64

	// Total bytes processed for the job.
	TotalBytesProcessed int64

	// Describes execution plan for the query.
	QueryPlan []*ExplainQueryStage

	// The number of rows affected by a DML statement. Present only for DML
	// statements INSERT, UPDATE or DELETE.
	NumDMLAffectedRows int64

	// ReferencedTables: [Output-only, Experimental] Referenced tables for
	// the job. Queries that reference more than 50 tables will not have a
	// complete list.
	ReferencedTables []*Table

	// The schema of the results. Present only for successful dry run of
	// non-legacy SQL queries.
	Schema Schema

	// Standard SQL: list of undeclared query parameter names detected during a
	// dry run validation.
	UndeclaredQueryParameterNames []string
}

QueryStatistics contains statistics about a query job.

type ReaderSource added in v0.7.0 

type ReaderSource struct {
	FileConfig
	// contains filtered or unexported fields
}

A ReaderSource is a source for a load operation that gets data from an io.Reader.

func NewReaderSource added in v0.7.0 

func NewReaderSource(r io.Reader) *ReaderSource

NewReaderSource creates a ReaderSource from an io.Reader. You may optionally configure properties on the ReaderSource that describe the data being read, before passing it to Table.LoaderFrom.

type RowInsertionError 

type RowInsertionError struct {
	InsertID string // The InsertID associated with the affected row.
	RowIndex int    // The 0-based index of the affected row in the batch of rows being inserted.
	Errors   MultiError
}

RowInsertionError contains all errors that occurred when attempting to insert a row.

func (*RowInsertionError) Error 

func (e *RowInsertionError) Error() string

type RowIterator 

type RowIterator struct {

	// StartIndex can be set before the first call to Next. If PageInfo().Token
	// is also set, StartIndex is ignored.
	StartIndex uint64
	// contains filtered or unexported fields
}

A RowIterator provides access to the result of a BigQuery lookup.

func (*RowIterator) Next 

func (it *RowIterator) Next(dst interface{}) error

Next loads the next row into dst. Its return value is iterator.Done if there are no more results. Once Next returns iterator.Done, all subsequent calls will return iterator.Done.

dst may implement ValueLoader, or may be a *[]Value, *map[string]Value, or struct pointer.

If dst is a *[]Value, it will be set to to new []Value whose i'th element will be populated with the i'th column of the row.

If dst is a *map[string]Value, a new map will be created if dst is nil. Then for each schema column name, the map key of that name will be set to the column's value. STRUCT types (RECORD types or nested schemas) become nested maps.

If dst is pointer to a struct, each column in the schema will be matched with an exported field of the struct that has the same name, ignoring case. Unmatched schema columns and struct fields will be ignored.

Each BigQuery column type corresponds to one or more Go types; a matching struct field must be of the correct type. The correspondences are: 

STRING      string
BOOL        bool
INTEGER     int, int8, int16, int32, int64, uint8, uint16, uint32
FLOAT       float32, float64
BYTES       []byte
TIMESTAMP   time.Time
DATE        civil.Date
TIME        civil.Time
DATETIME    civil.DateTime

A repeated field corresponds to a slice or array of the element type. A STRUCT type (RECORD or nested schema) corresponds to a nested struct or struct pointer. All calls to Next on the same iterator must use the same struct type.

It is an error to attempt to read a BigQuery NULL value into a struct field. If your table contains NULLs, use a *[]Value or *map[string]Value.

Example 
package main

import (
	"fmt"

	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
	"google.golang.org/api/iterator"
)

func main() {
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}
	q := client.Query("select name, num from t1")
	it, err := q.Read(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	for {
		var row []bigquery.Value
		err := it.Next(&row)
		if err == iterator.Done {
			break
		}
		if err != nil {
			// TODO: Handle error.
		}
		fmt.Println(row)
	}
}

Output:
Example (Struct) 
package main

import (
	"fmt"

	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
	"google.golang.org/api/iterator"
)

func main() {
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}

	type score struct {
		Name string
		Num  int
	}

	q := client.Query("select name, num from t1")
	it, err := q.Read(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	for {
		var s score
		err := it.Next(&s)
		if err == iterator.Done {
			break
		}
		if err != nil {
			// TODO: Handle error.
		}
		fmt.Println(s)
	}
}

Output:

func (*RowIterator) PageInfo 

func (it *RowIterator) PageInfo() *iterator.PageInfo

PageInfo supports pagination. See the google.golang.org/api/iterator package for details.

type Schema 

type Schema []*FieldSchema

Schema describes the fields in a table or query result.

func InferSchema 

func InferSchema(st interface{}) (Schema, error)

InferSchema tries to derive a BigQuery schema from the supplied struct value. NOTE: All fields in the returned Schema are configured to be required, unless the corresponding field in the supplied struct is a slice or array.

It is considered an error if the struct (including nested structs) contains any exported fields that are pointers or one of the following types: uint, uint64, uintptr, map, interface, complex64, complex128, func, chan. In these cases, an error will be returned. Future versions may handle these cases without error.

Recursively defined structs are also disallowed.

Example 
package main

import (
	"fmt"

	"cloud.google.com/go/bigquery"
)

func main() {
	type Item struct {
		Name  string
		Size  float64
		Count int
	}
	schema, err := bigquery.InferSchema(Item{})
	if err != nil {
		fmt.Println(err)
		// TODO: Handle error.
	}
	for _, fs := range schema {
		fmt.Println(fs.Name, fs.Type)
	}
}

Output:

Name STRING
Size FLOAT
Count INTEGER
Example (Tags) 
package main

import (
	"fmt"

	"cloud.google.com/go/bigquery"
)

func main() {
	type Item struct {
		Name   string
		Size   float64
		Count  int    `bigquery:"number"`
		Secret []byte `bigquery:"-"`
	}
	schema, err := bigquery.InferSchema(Item{})
	if err != nil {
		fmt.Println(err)
		// TODO: Handle error.
	}
	for _, fs := range schema {
		fmt.Println(fs.Name, fs.Type)
	}
}

Output:

Name STRING
Size FLOAT
number INTEGER

type State 

type State int

State is one of a sequence of states that a Job progresses through as it is processed. 

const (
	StateUnspecified State = iota // used only as a default in JobIterator
	Pending
	Running
	Done
)

type Statistics added in v0.8.0 

type Statistics interface {
	// contains filtered or unexported methods
}

Statistics is one of ExtractStatistics, LoadStatistics or QueryStatistics.

type StreamingBuffer added in v0.8.0 

type StreamingBuffer struct {
	// A lower-bound estimate of the number of bytes currently in the streaming
	// buffer.
	EstimatedBytes uint64

	// A lower-bound estimate of the number of rows currently in the streaming
	// buffer.
	EstimatedRows uint64

	// The time of the oldest entry in the streaming buffer.
	OldestEntryTime time.Time
}

StreamingBuffer holds information about the streaming buffer.

type StructSaver added in v0.7.0 

type StructSaver struct {
	// Schema determines what fields of the struct are uploaded. It should
	// match the table's schema.
	Schema Schema

	// If non-empty, BigQuery will use InsertID to de-duplicate insertions
	// of this row on a best-effort basis.
	InsertID string

	// Struct should be a struct or a pointer to a struct.
	Struct interface{}
}

StructSaver implements ValueSaver for a struct. The struct is converted to a map of values by using the values of struct fields corresponding to schema fields. Additional and missing fields are ignored, as are nested struct pointers that are nil.

func (*StructSaver) Save added in v0.7.0 

func (ss *StructSaver) Save() (row map[string]Value, insertID string, err error)

Save implements ValueSaver.

type Table 

type Table struct {
	// ProjectID, DatasetID and TableID may be omitted if the Table is the destination for a query.
	// In this case the result will be stored in an ephemeral table.
	ProjectID string
	DatasetID string
	// TableID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_).
	// The maximum length is 1,024 characters.
	TableID string
	// contains filtered or unexported fields
}

A Table is a reference to a BigQuery table.

func (*Table) CopierFrom 

func (t *Table) CopierFrom(srcs ...*Table) *Copier

CopierFrom returns a Copier which can be used to copy data into a BigQuery table from one or more BigQuery tables. The returned Copier may optionally be further configured before its Run method is called.

Example 
package main

import (
	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
)

func main() {
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}
	ds := client.Dataset("my_dataset")
	c := ds.Table("combined").CopierFrom(ds.Table("t1"), ds.Table("t2"))
	c.WriteDisposition = bigquery.WriteTruncate
	// TODO: set other options on the Copier.
	job, err := c.Run(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	status, err := job.Wait(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	if status.Err() != nil {
		// TODO: Handle error.
	}
}

Output:

func (*Table) Create 

func (t *Table) Create(ctx context.Context, tm *TableMetadata) error

Create creates a table in the BigQuery service. Pass in a TableMetadata value to configure the dataset.

Example 
package main

import (
	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
)

func main() {
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}
	t := client.Dataset("my_dataset").Table("new-table")
	if err := t.Create(ctx, nil); err != nil {
		// TODO: Handle error.
	}
}

Output:
Example (Initialize)

Initialize a new table by passing TableMetadata to Table.Create. 

package main

import (
	"time"

	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
)

func main() {
	ctx := context.Background()
	// Infer table schema from a Go type.
	schema, err := bigquery.InferSchema(Item{})
	if err != nil {
		// TODO: Handle error.
	}
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}
	t := client.Dataset("my_dataset").Table("new-table")
	if err := t.Create(ctx,
		&bigquery.TableMetadata{
			Name:           "My New Table",
			Schema:         schema,
			ExpirationTime: time.Now().Add(24 * time.Hour),
		}); err != nil {
		// TODO: Handle error.
	}
}

type Item struct {
	Name  string
	Size  float64
	Count int
}

// Save implements the ValueSaver interface.
func (i *Item) Save() (map[string]bigquery.Value, string, error) {
	return map[string]bigquery.Value{
		"Name":  i.Name,
		"Size":  i.Size,
		"Count": i.Count,
	}, "", nil
}

Output:

func (*Table) Delete 

func (t *Table) Delete(ctx context.Context) error

Delete deletes the table.

Example 
package main

import (
	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
)

func main() {
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}
	if err := client.Dataset("my_dataset").Table("my_table").Delete(ctx); err != nil {
		// TODO: Handle error.
	}
}

Output:

func (*Table) ExtractorTo 

func (t *Table) ExtractorTo(dst *GCSReference) *Extractor

ExtractorTo returns an Extractor which can be used to extract data from a BigQuery table into Google Cloud Storage. The returned Extractor may optionally be further configured before its Run method is called.

Example 
package main

import (
	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
)

func main() {
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}
	gcsRef := bigquery.NewGCSReference("gs://my-bucket/my-object")
	gcsRef.FieldDelimiter = ":"
	// TODO: set other options on the GCSReference.
	ds := client.Dataset("my_dataset")
	extractor := ds.Table("my_table").ExtractorTo(gcsRef)
	extractor.DisableHeader = true
	// TODO: set other options on the Extractor.
	job, err := extractor.Run(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	status, err := job.Wait(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	if status.Err() != nil {
		// TODO: Handle error.
	}
}

Output:

func (*Table) FullyQualifiedName 

func (t *Table) FullyQualifiedName() string

FullyQualifiedName returns the ID of the table in projectID:datasetID.tableID format.

func (*Table) LoaderFrom 

func (t *Table) LoaderFrom(src LoadSource) *Loader

LoaderFrom returns a Loader which can be used to load data into a BigQuery table. The returned Loader may optionally be further configured before its Run method is called. See GCSReference and ReaderSource for additional configuration options that affect loading.

Example 
package main

import (
	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
)

func main() {
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}
	gcsRef := bigquery.NewGCSReference("gs://my-bucket/my-object")
	gcsRef.AllowJaggedRows = true
	gcsRef.MaxBadRecords = 5
	gcsRef.Schema = schema
	// TODO: set other options on the GCSReference.
	ds := client.Dataset("my_dataset")
	loader := ds.Table("my_table").LoaderFrom(gcsRef)
	loader.CreateDisposition = bigquery.CreateNever
	// TODO: set other options on the Loader.
	job, err := loader.Run(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	status, err := job.Wait(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	if status.Err() != nil {
		// TODO: Handle error.
	}
}

var schema bigquery.Schema

Output:
Example (Reader) 
package main

import (
	"os"

	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
)

func main() {
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}
	f, err := os.Open("data.csv")
	if err != nil {
		// TODO: Handle error.
	}
	rs := bigquery.NewReaderSource(f)
	rs.AllowJaggedRows = true
	rs.MaxBadRecords = 5
	rs.Schema = schema
	// TODO: set other options on the GCSReference.
	ds := client.Dataset("my_dataset")
	loader := ds.Table("my_table").LoaderFrom(rs)
	loader.CreateDisposition = bigquery.CreateNever
	// TODO: set other options on the Loader.
	job, err := loader.Run(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	status, err := job.Wait(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	if status.Err() != nil {
		// TODO: Handle error.
	}
}

var schema bigquery.Schema

Output:

func (*Table) Metadata 

func (t *Table) Metadata(ctx context.Context) (*TableMetadata, error)

Metadata fetches the metadata for the table.

Example 
package main

import (
	"fmt"

	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
)

func main() {
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}
	md, err := client.Dataset("my_dataset").Table("my_table").Metadata(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	fmt.Println(md)
}

Output:

func (*Table) Read 

func (t *Table) Read(ctx context.Context) *RowIterator

Read fetches the contents of the table.

Example 
package main

import (
	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
)

func main() {
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}
	it := client.Dataset("my_dataset").Table("my_table").Read(ctx)
	_ = it // TODO: iterate using Next or iterator.Pager.
}

Output:

func (*Table) Update 

func (t *Table) Update(ctx context.Context, tm TableMetadataToUpdate, etag string) (*TableMetadata, error)

Update modifies specific Table metadata fields.

Example (BlindWrite)

To perform a blind write, ignoring the existing state (and possibly overwriting other updates), pass the empty string as the etag. 

package main

import (
	"fmt"

	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
)

func main() {
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}
	t := client.Dataset("my_dataset").Table("my_table")
	tm, err := t.Update(ctx, bigquery.TableMetadataToUpdate{
		Description: "my favorite table",
	}, "")
	if err != nil {
		// TODO: Handle error.
	}
	fmt.Println(tm)
}

Output:
Example (ReadModifyWrite)

This example illustrates how to perform a read-modify-write sequence on table metadata. Passing the metadata's ETag to the Update call ensures that the call will fail if the metadata was changed since the read. 

package main

import (
	"fmt"

	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
)

func main() {
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}
	t := client.Dataset("my_dataset").Table("my_table")
	md, err := t.Metadata(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	md2, err := t.Update(ctx,
		bigquery.TableMetadataToUpdate{Name: "new " + md.Name},
		md.ETag)
	if err != nil {
		// TODO: Handle error.
	}
	fmt.Println(md2)
}

Output:

func (*Table) Uploader added in v0.7.0 

func (t *Table) Uploader() *Uploader

Uploader returns an Uploader that can be used to append rows to t. The returned Uploader may optionally be further configured before its Put method is called.

Example 
package main

import (
	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
)

func main() {
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}
	u := client.Dataset("my_dataset").Table("my_table").Uploader()
	_ = u // TODO: Use u.
}

Output:
Example (Options) 
package main

import (
	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
)

func main() {
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}
	u := client.Dataset("my_dataset").Table("my_table").Uploader()
	u.SkipInvalidRows = true
	u.IgnoreUnknownValues = true
	_ = u // TODO: Use u.
}

Output:

type TableCreateDisposition 

type TableCreateDisposition string

TableCreateDisposition specifies the circumstances under which destination table will be created. Default is CreateIfNeeded. 

const (
	// CreateIfNeeded will create the table if it does not already exist.
	// Tables are created atomically on successful completion of a job.
	CreateIfNeeded TableCreateDisposition = "CREATE_IF_NEEDED"

	// CreateNever ensures the table must already exist and will not be
	// automatically created.
	CreateNever TableCreateDisposition = "CREATE_NEVER"
)

type TableIterator 

type TableIterator struct {
	// contains filtered or unexported fields
}

A TableIterator is an iterator over Tables.

func (*TableIterator) Next 

func (it *TableIterator) Next() (*Table, error)

Next returns the next result. Its second return value is Done if there are no more results. Once Next returns Done, all subsequent calls will return Done.

Example 
package main

import (
	"fmt"

	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
	"google.golang.org/api/iterator"
)

func main() {
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}
	it := client.Dataset("my_dataset").Tables(ctx)
	for {
		t, err := it.Next()
		if err == iterator.Done {
			break
		}
		if err != nil {
			// TODO: Handle error.
		}
		fmt.Println(t)
	}
}

Output:

func (*TableIterator) PageInfo 

func (it *TableIterator) PageInfo() *iterator.PageInfo

PageInfo supports pagination. See the google.golang.org/api/iterator package for details.

type TableMetadata 

type TableMetadata struct {

	// The user-friendly name for the table.
	Name string

	// The user-friendly description of the table.
	Description string

	// The table schema. If provided on create, ViewQuery must be empty.
	Schema Schema

	// The query to use for a view. If provided on create, Schema must be nil.
	ViewQuery string

	// Use Legacy SQL for the view query.
	// At most one of UseLegacySQL and UseStandardSQL can be true.
	UseLegacySQL bool

	// Use Legacy SQL for the view query. The default.
	// At most one of UseLegacySQL and UseStandardSQL can be true.
	UseStandardSQL bool

	// If non-nil, the table is partitioned by time.
	TimePartitioning *TimePartitioning

	// The time when this table expires. If not set, the table will persist
	// indefinitely. Expired tables will be deleted and their storage reclaimed.
	ExpirationTime time.Time

	FullID           string // An opaque ID uniquely identifying the table.
	Type             TableType
	CreationTime     time.Time
	LastModifiedTime time.Time

	// The size of the table in bytes.
	// This does not include data that is being buffered during a streaming insert.
	NumBytes int64

	// The number of rows of data in this table.
	// This does not include data that is being buffered during a streaming insert.
	NumRows uint64

	// Contains information regarding this table's streaming buffer, if one is
	// present. This field will be nil if the table is not being streamed to or if
	// there is no data in the streaming buffer.
	StreamingBuffer *StreamingBuffer

	// ETag is the ETag obtained when reading metadata. Pass it to Table.Update to
	// ensure that the metadata hasn't changed since it was read.
	ETag string
}

TableMetadata contains information about a BigQuery table.

type TableMetadataToUpdate 

type TableMetadataToUpdate struct {
	// Description is the user-friendly description of this table.
	Description optional.String

	// Name is the user-friendly name for this table.
	Name optional.String

	// Schema is the table's schema.
	// When updating a schema, you can add columns but not remove them.
	Schema Schema

	// ExpirationTime is the time when this table expires.
	ExpirationTime time.Time
}

TableMetadataToUpdate is used when updating a table's metadata. Only non-nil fields will be updated.

type TableType 

type TableType string

TableType is the type of table. 

const (
	RegularTable  TableType = "TABLE"
	ViewTable     TableType = "VIEW"
	ExternalTable TableType = "EXTERNAL"
)

type TableWriteDisposition 

type TableWriteDisposition string

TableWriteDisposition specifies how existing data in a destination table is treated. Default is WriteAppend. 

const (
	// WriteAppend will append to any existing data in the destination table.
	// Data is appended atomically on successful completion of a job.
	WriteAppend TableWriteDisposition = "WRITE_APPEND"

	// WriteTruncate overrides the existing data in the destination table.
	// Data is overwritten atomically on successful completion of a job.
	WriteTruncate TableWriteDisposition = "WRITE_TRUNCATE"

	// WriteEmpty fails writes if the destination table already contains data.
	WriteEmpty TableWriteDisposition = "WRITE_EMPTY"
)

type TimePartitioning added in v0.7.0 

type TimePartitioning struct {
	// The amount of time to keep the storage for a partition.
	// If the duration is empty (0), the data in the partitions do not expire.
	Expiration time.Duration
}

TimePartitioning describes the time-based date partitioning on a table. For more information see: https://cloud.google.com/bigquery/docs/creating-partitioned-tables.

type Uploader 

type Uploader struct {

	// SkipInvalidRows causes rows containing invalid data to be silently
	// ignored. The default value is false, which causes the entire request to
	// fail if there is an attempt to insert an invalid row.
	SkipInvalidRows bool

	// IgnoreUnknownValues causes values not matching the schema to be ignored.
	// The default value is false, which causes records containing such values
	// to be treated as invalid records.
	IgnoreUnknownValues bool

	// A TableTemplateSuffix allows Uploaders to create tables automatically.
	//
	// Experimental: this option is experimental and may be modified or removed in future versions,
	// regardless of any other documented package stability guarantees.
	//
	// When you specify a suffix, the table you upload data to
	// will be used as a template for creating a new table, with the same schema,
	// called <table> + <suffix>.
	//
	// More information is available at
	// https://cloud.google.com/bigquery/streaming-data-into-bigquery#template-tables
	TableTemplateSuffix string
	// contains filtered or unexported fields
}

An Uploader does streaming inserts into a BigQuery table. It is safe for concurrent use.

func (*Uploader) Put 

func (u *Uploader) Put(ctx context.Context, src interface{}) error

Put uploads one or more rows to the BigQuery service.

If src is ValueSaver, then its Save method is called to produce a row for uploading.

If src is a struct or pointer to a struct, then a schema is inferred from it and used to create a StructSaver. The InsertID of the StructSaver will be empty.

If src is a slice of ValueSavers, structs, or struct pointers, then each element of the slice is treated as above, and multiple rows are uploaded.

Put returns a PutMultiError if one or more rows failed to be uploaded. The PutMultiError contains a RowInsertionError for each failed row.

Put will retry on temporary errors (see https://cloud.google.com/bigquery/troubleshooting-errors). This can result in duplicate rows if you do not use insert IDs. Also, if the error persists, the call will run indefinitely. Pass a context with a timeout to prevent hanging calls.

Example 
package main

import (
	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
)

type Item struct {
	Name  string
	Size  float64
	Count int
}

// Save implements the ValueSaver interface.
func (i *Item) Save() (map[string]bigquery.Value, string, error) {
	return map[string]bigquery.Value{
		"Name":  i.Name,
		"Size":  i.Size,
		"Count": i.Count,
	}, "", nil
}

func main() {
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}
	u := client.Dataset("my_dataset").Table("my_table").Uploader()
	// Item implements the ValueSaver interface.
	items := []*Item{
		{Name: "n1", Size: 32.6, Count: 7},
		{Name: "n2", Size: 4, Count: 2},
		{Name: "n3", Size: 101.5, Count: 1},
	}
	if err := u.Put(ctx, items); err != nil {
		// TODO: Handle error.
	}
}

Output:
Example (Struct) 
package main

import (
	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
)

func main() {
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}
	u := client.Dataset("my_dataset").Table("my_table").Uploader()

	type score struct {
		Name string
		Num  int
	}
	scores := []score{
		{Name: "n1", Num: 12},
		{Name: "n2", Num: 31},
		{Name: "n3", Num: 7},
	}
	// Schema is inferred from the score type.
	if err := u.Put(ctx, scores); err != nil {
		// TODO: Handle error.
	}
}

Output:
Example (StructSaver) 
package main

import (
	"cloud.google.com/go/bigquery"
	"golang.org/x/net/context"
)

var schema bigquery.Schema

func main() {
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, "project-id")
	if err != nil {
		// TODO: Handle error.
	}
	u := client.Dataset("my_dataset").Table("my_table").Uploader()

	type score struct {
		Name string
		Num  int
	}

	// Assume schema holds the table's schema.
	savers := []*bigquery.StructSaver{
		{Struct: score{Name: "n1", Num: 12}, Schema: schema, InsertID: "id1"},
		{Struct: score{Name: "n2", Num: 31}, Schema: schema, InsertID: "id2"},
		{Struct: score{Name: "n3", Num: 7}, Schema: schema, InsertID: "id3"},
	}
	if err := u.Put(ctx, savers); err != nil {
		// TODO: Handle error.
	}
}

Output:

type Value 

type Value interface{}

Value stores the contents of a single cell from a BigQuery result.

type ValueLoader 

type ValueLoader interface {
	Load(v []Value, s Schema) error
}

ValueLoader stores a slice of Values representing a result row from a Read operation. See RowIterator.Next for more information.

type ValueSaver 

type ValueSaver interface {
	// Save returns a row to be inserted into a BigQuery table, represented
	// as a map from field name to Value.
	// If insertID is non-empty, BigQuery will use it to de-duplicate
	// insertions of this row on a best-effort basis.
	Save() (row map[string]Value, insertID string, err error)
}

A ValueSaver returns a row of data to be inserted into a table.

type ValuesSaver 

type ValuesSaver struct {
	Schema Schema

	// If non-empty, BigQuery will use InsertID to de-duplicate insertions
	// of this row on a best-effort basis.
	InsertID string

	Row []Value
}

ValuesSaver implements ValueSaver for a slice of Values.

func (*ValuesSaver) Save 

func (vls *ValuesSaver) Save() (map[string]Value, string, error)

Save implements ValueSaver.

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