bigquery

package
v0.30.0 Latest Latest
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 Go to latest Published: Oct 8, 2018 License: Apache-2.0 Imports: 32 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.

See https://godoc.org/cloud.google.com/go for authentication, timeouts, connection pooling and similar aspects of this package.

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 asynchronous 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{
    {Name: "Name", Required: true, Type: bigquery.StringFieldType},
    {Name: "Grades", Repeated: true, Type: bigquery.IntegerFieldType},
    {Name: "Optional", Required: false, Type: bigquery.IntegerFieldType},
}

Or you can infer the schema from a struct: 

type student struct {
    Name   string
    Grades []int
    Optional bigquery.NullInt64
}
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, ignore fields, or mark a field as nullable (non-required). Fields declared as one of the Null types (NullInt64, NullFloat64, NullString, NullBool, NullTimestamp, NullDate, NullTime and NullDateTime) are automatically inferred as nullable, so the "nullable" tag is only needed for []byte, *big.Rat and pointer-to-struct fields. 

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

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.

Errors

Errors returned by this client are often of the type [`googleapi.Error`](https://godoc.org/google.golang.org/api/googleapi#Error). These errors can be introspected for more information by type asserting to the richer `googleapi.Error` type. For example: 

if e, ok := err.(*googleapi.Error); ok {
	  if e.Code = 409 { ... }
}

Index

Examples

Constants

View Source 
const (
	// The maximum number of digits in a NUMERIC value.
	NumericPrecisionDigits = 38

	// The maximum number of digits after the decimal point in a NUMERIC value.
	NumericScaleDigits = 9
)
View Source 
const (
	Scope = "https://www.googleapis.com/auth/bigquery"
)

Variables

This section is empty.

Functions

func CivilDateTimeString added in v0.16.0 

func CivilDateTimeString(dt civil.DateTime) string

CivilDateTimeString returns a string representing a civil.DateTime in a format compatible with BigQuery SQL. It separate the date and time with a space, and formats the time with CivilTimeString.

Use CivilDateTimeString when using civil.DateTime in DML, for example in INSERT statements.

func CivilTimeString added in v0.16.0 

func CivilTimeString(t civil.Time) string

CivilTimeString returns a string representing a civil.Time in a format compatible with BigQuery SQL. It rounds the time to the nearest microsecond and returns a string with six digits of sub-second precision.

Use CivilTimeString when using civil.Time in DML, for example in INSERT statements.

func NumericString added in v0.24.0 

func NumericString(r *big.Rat) string

NumericString returns a string representing a *big.Rat in a format compatible with BigQuery SQL. It returns a floating-point literal with 9 digits after the decimal point.

func Seed added in v0.25.0 

func Seed(s int64)

Seed seeds this package's random number generator, used for generating job and insert IDs. Use Seed to obtain repeatable, deterministic behavior from bigquery clients. Seed should be called before any clients are created.

Types

type AccessEntry added in v0.16.0 

type AccessEntry struct {
	Role       AccessRole // The role of the entity
	EntityType EntityType // The type of entity
	Entity     string     // The entity (individual or group) granted access
	View       *Table     // The view granted access (EntityType must be ViewEntity)
}

An AccessEntry describes the permissions that an entity has on a dataset.

type AccessRole added in v0.16.0 

type AccessRole string

AccessRole is the level of access to grant to a dataset. 

const (
	OwnerRole  AccessRole = "OWNER"
	ReaderRole AccessRole = "READER"
	WriterRole AccessRole = "WRITER"
)

type BigtableColumn added in v0.16.0 

type BigtableColumn struct {
	// Qualifier of the column. Columns in the parent column family that have this
	// exact qualifier are exposed as . field. The column field name is the
	// same as the column qualifier.
	Qualifier string

	// If the qualifier is not a valid BigQuery field identifier i.e. does not match
	// [a-zA-Z][a-zA-Z0-9_]*, a valid identifier must be provided as the column field
	// name and is used as field name in queries.
	FieldName string

	// If true, only the latest version of values are exposed for this column.
	// See BigtableColumnFamily.OnlyReadLatest.
	OnlyReadLatest bool

	// The encoding of the values when the type is not STRING.
	// See BigtableColumnFamily.Encoding
	Encoding string

	// The type to convert the value in cells of this column.
	// See BigtableColumnFamily.Type
	Type string
}

BigtableColumn describes how BigQuery should access a Bigtable column.

type BigtableColumnFamily added in v0.16.0 

type BigtableColumnFamily struct {
	// Identifier of the column family.
	FamilyID string

	// Lists of columns that should be exposed as individual fields as opposed to a
	// list of (column name, value) pairs. All columns whose qualifier matches a
	// qualifier in this list can be accessed as .. Other columns can be accessed as
	// a list through .Column field.
	Columns []*BigtableColumn

	// The encoding of the values when the type is not STRING. Acceptable encoding values are:
	// - TEXT - indicates values are alphanumeric text strings.
	// - BINARY - indicates values are encoded using HBase Bytes.toBytes family of functions.
	// This can be overridden for a specific column by listing that column in 'columns' and
	// specifying an encoding for it.
	Encoding string

	// If true, only the latest version of values are exposed for all columns in this
	// column family. This can be overridden for a specific column by listing that
	// column in 'columns' and specifying a different setting for that column.
	OnlyReadLatest bool

	// The type to convert the value in cells of this
	// column family. The values are expected to be encoded using HBase
	// Bytes.toBytes function when using the BINARY encoding value.
	// Following BigQuery types are allowed (case-sensitive):
	// BYTES STRING INTEGER FLOAT BOOLEAN.
	// The default type is BYTES. This can be overridden for a specific column by
	// listing that column in 'columns' and specifying a type for it.
	Type string
}

BigtableColumnFamily describes how BigQuery should access a Bigtable column family.

type BigtableOptions added in v0.16.0 

type BigtableOptions struct {
	// A list of column families to expose in the table schema along with their
	// types. If omitted, all column families are present in the table schema and
	// their values are read as BYTES.
	ColumnFamilies []*BigtableColumnFamily

	// If true, then the column families that are not specified in columnFamilies
	// list are not exposed in the table schema. Otherwise, they are read with BYTES
	// type values. The default is false.
	IgnoreUnspecifiedColumnFamilies bool

	// If true, then the rowkey column families will be read and converted to string.
	// Otherwise they are read with BYTES type values and users need to manually cast
	// them with CAST if necessary. The default is false.
	ReadRowkeyAsString bool
}

BigtableOptions are additional options for Bigtable external data sources.

type CSVOptions added in v0.16.0 

type CSVOptions struct {
	// 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

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

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

	// 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

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

CSVOptions are additional options for CSV external data sources.

type Client 

type Client struct {
	// Location, if set, will be used as the default location for all subsequent
	// dataset creation and job operations. A location specified directly in one of
	// those operations will override this value.
	Location string
	// 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 added in v0.2.0 

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 added in v0.2.0 

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 added in v0.2.0 

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 added in v0.2.0 

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.

For jobs whose location is other than "US" or "EU", set Client.Location or use JobFromIDLocation.

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.LastStatus()) // Display the job's status.
}

Output:

func (*Client) JobFromIDLocation added in v0.20.0 

func (c *Client) JobFromIDLocation(ctx context.Context, id, location string) (j *Job, err error)

JobFromIDLocation creates a Job which refers to an existing BigQuery job. The job need not have been created by this package (for example, it may have been created in the BigQuery console), but it must exist in the specified location.

func (*Client) Jobs added in v0.14.0 

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

Jobs lists jobs within a 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.
	}
	it := client.Jobs(ctx)
	it.State = bigquery.Running // list only running jobs.
	_ = it                      // TODO: iterate using Next or iterator.Pager.
}

Output:

func (*Client) Query added in v0.2.0 

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 (EncryptionKey)

This example demonstrates how to run a query job on a table with a customer-managed encryption key. The same applies to load and copy jobs as well. 

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")
	// TODO: Replace this key with a key you have created in Cloud KMS.
	keyName := "projects/P/locations/L/keyRings/R/cryptoKeys/K"
	q.DestinationEncryptionConfig = &bigquery.EncryptionConfig{KMSKeyName: keyName}
	// 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 Clustering added in v0.26.0 

type Clustering struct {
	Fields []string
}

Clustering governs the organization of data within a partitioned table. For more information, see https://cloud.google.com/bigquery/docs/clustered-tables

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 added in v0.3.0 

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

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

func (*Copier) Run added in v0.3.0 

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

Run initiates a copy job.

type CopyConfig added in v0.3.0 

type CopyConfig struct {
	// 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 WriteEmpty.
	WriteDisposition TableWriteDisposition

	// The labels associated with this job.
	Labels map[string]string

	// Custom encryption configuration (e.g., Cloud KMS keys).
	DestinationEncryptionConfig *EncryptionConfig
}

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"
	GoogleSheets    DataFormat = "GOOGLE_SHEETS"
	Bigtable        DataFormat = "BIGTABLE"
	Parquet         DataFormat = "PARQUET"
	ORC             DataFormat = "ORC"
)

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) (err 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 v0.5.0 

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

Delete deletes the dataset. Delete will fail if the dataset is not empty.

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) DeleteWithContents added in v0.22.0 

func (d *Dataset) DeleteWithContents(ctx context.Context) (err error)

DeleteWithContents deletes the dataset, as well as contained resources.

func (*Dataset) Metadata added in v0.5.0 

func (d *Dataset) Metadata(ctx context.Context) (md *DatasetMetadata, err 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 added in v0.2.0 

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 added in v0.2.0 

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 v0.12.0 

func (d *Dataset) Update(ctx context.Context, dm DatasetMetadataToUpdate, etag string) (md *DatasetMetadata, err 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 added in v0.2.0 

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 added in v0.2.0 

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 added in v0.2.0 

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

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

type DatasetMetadata added in v0.5.0 

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.
	Access                 []*AccessEntry    // Access permissions.

	// 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 v0.12.0 

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

	// The entire access list. It is not possible to replace individual entries.
	Access []*AccessEntry
	// 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 v0.13.0 

func (u *DatasetMetadataToUpdate) DeleteLabel(name string)

DeleteLabel causes a label to be deleted on a call to Update.

func (*DatasetMetadataToUpdate) SetLabel added in v0.13.0 

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

SetLabel causes a label to be added or modified on a call to 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 EncryptionConfig added in v0.19.0 

type EncryptionConfig struct {
	// Describes the Cloud KMS encryption key that will be used to protect
	// destination BigQuery table. The BigQuery Service Account associated with your
	// project requires access to this encryption key.
	KMSKeyName string
}

EncryptionConfig configures customer-managed encryption on tables.

type EntityType added in v0.16.0 

type EntityType int

EntityType is the type of entity in an AccessEntry. 

const (
	// A domain (e.g. "example.com")
	DomainEntity EntityType = iota + 1

	// Email address of a Google Group
	GroupEmailEntity

	// Email address of an individual user.
	UserEmailEntity

	// A special group: one of projectOwners, projectReaders, projectWriters or allAuthenticatedUsers.
	SpecialGroupEntity

	// A BigQuery view.
	ViewEntity
)

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 {
	// CompletedParallelInputs: Number of parallel input segments completed.
	CompletedParallelInputs int64

	// ComputeAvg: Duration the average shard spent on CPU-bound tasks.
	ComputeAvg time.Duration

	// ComputeMax: Duration the slowest shard spent on CPU-bound tasks.
	ComputeMax time.Duration

	// 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

	// EndTime: Stage end time.
	EndTime time.Time

	// Unique ID for stage within plan.
	ID int64

	// InputStages: IDs for stages that are inputs to this stage.
	InputStages []int64

	// Human-readable name for stage.
	Name string

	// ParallelInputs: Number of parallel input segments to be processed.
	ParallelInputs int64

	// ReadAvg: Duration the average shard spent reading input.
	ReadAvg time.Duration

	// ReadMax: Duration the slowest shard spent reading input.
	ReadMax time.Duration

	// 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

	// ShuffleOutputBytes: Total number of bytes written to shuffle.
	ShuffleOutputBytes int64

	// ShuffleOutputBytesSpilled: Total number of bytes written to shuffle
	// and spilled to disk.
	ShuffleOutputBytesSpilled int64

	// StartTime: Stage start time.
	StartTime time.Time

	// Current status for the stage.
	Status string

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

	// WaitAvg: Duration the average shard spent waiting to be scheduled.
	WaitAvg time.Duration

	// WaitMax: Duration the slowest shard spent waiting to be scheduled.
	WaitMax time.Duration

	// 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

	// WriteAvg: Duration the average shard spent on writing output.
	WriteAvg time.Duration

	// WriteMax: Duration the slowest shard spent on writing output.
	WriteMax time.Duration

	// 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 added in v0.3.0 

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

ExternalData is a table which is stored outside of BigQuery. It is implemented by *ExternalDataConfig. GCSReference also implements it, for backwards compatibility.

type ExternalDataConfig added in v0.16.0 

type ExternalDataConfig struct {
	// The format of the data. Required.
	SourceFormat DataFormat

	// The fully-qualified URIs that point to your
	// data in Google Cloud. Required.
	//
	// For Google Cloud Storage URIs, each URI can contain one '*' wildcard character
	// and it must come after the 'bucket' name. Size limits related to load jobs
	// apply to external data sources.
	//
	// For Google Cloud Bigtable URIs, exactly one URI can be specified and it has be
	// a fully specified and valid HTTPS URL for a Google Cloud Bigtable table.
	//
	// For Google Cloud Datastore backups, exactly one URI can be specified. Also,
	// the '*' wildcard character is not allowed.
	SourceURIs []string

	// The schema of the data. Required for CSV and JSON; disallowed for the
	// other formats.
	Schema Schema

	// Try to detect schema and format options automatically.
	// Any option specified explicitly will be honored.
	AutoDetect bool

	// The compression type of the data.
	Compression Compression

	// 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

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

	// Additional options for CSV, GoogleSheets and Bigtable formats.
	Options ExternalDataConfigOptions
}

ExternalDataConfig describes data external to BigQuery that can be used in queries and to create external tables.

type ExternalDataConfigOptions added in v0.16.0 

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

ExternalDataConfigOptions are additional options for external data configurations. This interface is implemented by CSVOptions, GoogleSheetsOptions and BigtableOptions.

type ExtractConfig added in v0.3.0 

type ExtractConfig struct {
	// 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

	// The labels associated with this job.
	Labels map[string]string
}

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 added in v0.3.0 

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

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

func (*Extractor) Run added in v0.3.0 

func (e *Extractor) Run(ctx context.Context) (j *Job, err 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"
	NumericFieldType   FieldType = "NUMERIC"
)

type FileConfig added in v0.4.0 

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

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

	// 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

	// Additional options for CSV files.
	CSVOptions
}

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 {
	// URIs refer to Google Cloud Storage objects.
	URIs []string

	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
}

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 v0.4.0 

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 GoogleSheetsOptions added in v0.16.0 

type GoogleSheetsOptions struct {
	// The number of rows at the top of a sheet that BigQuery will skip when
	// reading data.
	SkipLeadingRows int64
}

GoogleSheetsOptions are additional options for GoogleSheets external data sources.

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 added in v0.2.0 

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) Config added in v0.16.0 

func (j *Job) Config() (JobConfig, error)

Config returns the configuration information for j.

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")
	job, err := ds.Table("t1").CopierFrom(ds.Table("t2")).Run(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	jc, err := job.Config()
	if err != nil {
		// TODO: Handle error.
	}
	copyConfig := jc.(*bigquery.CopyConfig)
	fmt.Println(copyConfig.Dst, copyConfig.CreateDisposition)
}

Output:

func (*Job) Email added in v0.26.0 

func (j *Job) Email() string

Email returns the email of the job's creator.

func (*Job) ID 

func (j *Job) ID() string

ID returns the job's ID.

func (*Job) LastStatus added in v0.16.0 

func (j *Job) LastStatus() *JobStatus

LastStatus returns the most recently retrieved status of the job. The status is retrieved when a new job is created, or when JobFromID or Job.Status is called. Call Job.Status to get the most up-to-date information about a job.

func (*Job) Location added in v0.20.0 

func (j *Job) Location() string

Location returns the job's location.

func (*Job) Read added in v0.2.0 

func (j *Job) Read(ctx context.Context) (ri *RowIterator, err 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) (js *JobStatus, err error)

Status retrieves the current status of the job from BigQuery. It fails if the Status could not be determined.

func (*Job) Wait added in v0.5.0 

func (j *Job) Wait(ctx context.Context) (js *JobStatus, err 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 JobConfig added in v0.16.0 

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

JobConfig contains configuration information for a job. It is implemented by *CopyConfig, *ExtractConfig, *LoadConfig and *QueryConfig.

type JobIDConfig added in v0.16.0 

type JobIDConfig 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

	// Location is the location for the job.
	Location string
}

JobIDConfig describes how to create an ID for a job.

type JobIterator added in v0.14.0 

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.
	MinCreationTime time.Time // List only jobs created after this time.
	MaxCreationTime time.Time // List only jobs created before this time.
	// contains filtered or unexported fields
}

JobIterator iterates over jobs in a project.

func (*JobIterator) Next added in v0.14.0 

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

func (*JobIterator) PageInfo added in v0.14.0 

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 unsuccessfully.

func (*JobStatus) Err 

func (s *JobStatus) Err() error

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

type LoadConfig added in v0.3.0 

type LoadConfig struct {
	// 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

	// The labels associated with this job.
	Labels map[string]string

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

	// Clustering specifies the data clustering configuration for the destination table.
	Clustering *Clustering

	// Custom encryption configuration (e.g., Cloud KMS keys).
	DestinationEncryptionConfig *EncryptionConfig

	// Allows the schema of the destination table to be updated as a side effect of
	// the load job.
	SchemaUpdateOptions []string
}

LoadConfig holds the configuration for a load job.

type LoadSource added in v0.4.0 

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 added in v0.3.0 

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

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

func (*Loader) Run added in v0.3.0 

func (l *Loader) Run(ctx context.Context) (j *Job, err 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 NullBool added in v0.18.0 

type NullBool struct {
	Bool  bool
	Valid bool // Valid is true if Bool is not NULL.
}

NullBool represents a BigQuery BOOL that may be NULL.

func (NullBool) MarshalJSON added in v0.18.0 

func (n NullBool) MarshalJSON() ([]byte, error)

func (NullBool) String added in v0.18.0 

func (n NullBool) String() string

func (*NullBool) UnmarshalJSON added in v0.19.0 

func (n *NullBool) UnmarshalJSON(b []byte) error

type NullDate added in v0.18.0 

type NullDate struct {
	Date  civil.Date
	Valid bool // Valid is true if Date is not NULL.
}

NullDate represents a BigQuery DATE that may be null.

func (NullDate) MarshalJSON added in v0.18.0 

func (n NullDate) MarshalJSON() ([]byte, error)

func (NullDate) String added in v0.18.0 

func (n NullDate) String() string

func (*NullDate) UnmarshalJSON added in v0.19.0 

func (n *NullDate) UnmarshalJSON(b []byte) error

type NullDateTime added in v0.18.0 

type NullDateTime struct {
	DateTime civil.DateTime
	Valid    bool // Valid is true if DateTime is not NULL.
}

NullDateTime represents a BigQuery DATETIME that may be null.

func (NullDateTime) MarshalJSON added in v0.18.0 

func (n NullDateTime) MarshalJSON() ([]byte, error)

func (NullDateTime) String added in v0.18.0 

func (n NullDateTime) String() string

func (*NullDateTime) UnmarshalJSON added in v0.19.0 

func (n *NullDateTime) UnmarshalJSON(b []byte) error

type NullFloat64 added in v0.18.0 

type NullFloat64 struct {
	Float64 float64
	Valid   bool // Valid is true if Float64 is not NULL.
}

NullFloat64 represents a BigQuery FLOAT64 that may be NULL.

func (NullFloat64) MarshalJSON added in v0.18.0 

func (n NullFloat64) MarshalJSON() ([]byte, error)

func (NullFloat64) String added in v0.18.0 

func (n NullFloat64) String() string

func (*NullFloat64) UnmarshalJSON added in v0.19.0 

func (n *NullFloat64) UnmarshalJSON(b []byte) error

type NullInt64 added in v0.18.0 

type NullInt64 struct {
	Int64 int64
	Valid bool // Valid is true if Int64 is not NULL.
}

NullInt64 represents a BigQuery INT64 that may be NULL.

func (NullInt64) MarshalJSON added in v0.18.0 

func (n NullInt64) MarshalJSON() ([]byte, error)

func (NullInt64) String added in v0.18.0 

func (n NullInt64) String() string

func (*NullInt64) UnmarshalJSON added in v0.19.0 

func (n *NullInt64) UnmarshalJSON(b []byte) error

type NullString added in v0.18.0 

type NullString struct {
	StringVal string
	Valid     bool // Valid is true if StringVal is not NULL.
}

NullString represents a BigQuery STRING that may be NULL.

func (NullString) MarshalJSON added in v0.18.0 

func (n NullString) MarshalJSON() ([]byte, error)

func (NullString) String added in v0.18.0 

func (n NullString) String() string

func (*NullString) UnmarshalJSON added in v0.19.0 

func (n *NullString) UnmarshalJSON(b []byte) error

type NullTime added in v0.18.0 

type NullTime struct {
	Time  civil.Time
	Valid bool // Valid is true if Time is not NULL.
}

NullTime represents a BigQuery TIME that may be null.

func (NullTime) MarshalJSON added in v0.18.0 

func (n NullTime) MarshalJSON() ([]byte, error)

func (NullTime) String added in v0.18.0 

func (n NullTime) String() string

func (*NullTime) UnmarshalJSON added in v0.19.0 

func (n *NullTime) UnmarshalJSON(b []byte) error

type NullTimestamp added in v0.18.0 

type NullTimestamp struct {
	Timestamp time.Time
	Valid     bool // Valid is true if Time is not NULL.
}

NullTimestamp represents a BigQuery TIMESTAMP that may be null.

func (NullTimestamp) MarshalJSON added in v0.18.0 

func (n NullTimestamp) MarshalJSON() ([]byte, error)

func (NullTimestamp) String added in v0.18.0 

func (n NullTimestamp) String() string

func (*NullTimestamp) UnmarshalJSON added in v0.19.0 

func (n *NullTimestamp) UnmarshalJSON(b []byte) error

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 {
	JobIDConfig
	QueryConfig
	// contains filtered or unexported fields
}

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

func (*Query) Read added in v0.2.0 

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 added in v0.3.0 

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

Run initiates a query job.

type QueryConfig added in v0.3.0 

type QueryConfig struct {
	// 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.
	//
	// When a QueryConfig is returned from Job.Config, the map values
	// are always of type *ExternalDataConfig.
	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.
	// Deprecated: use UseLegacySQL.
	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

	// TimePartitioning specifies time-based partitioning
	// for the destination table.
	TimePartitioning *TimePartitioning

	// Clustering specifies the data clustering configuration for the destination table.
	Clustering *Clustering

	// The labels associated with this job.
	Labels map[string]string

	// If true, don't actually run this job. A valid query will return a mostly
	// empty response with some processing statistics, while an invalid query will
	// return the same error it would if it wasn't a dry run.
	//
	// Query.Read will fail with dry-run queries. Call Query.Run instead, and then
	// call LastStatus on the returned job to get statistics. Calling Status on a
	// dry-run job will fail.
	DryRun bool

	// Custom encryption configuration (e.g., Cloud KMS keys).
	DestinationEncryptionConfig *EncryptionConfig

	// Allows the schema of the destination table to be updated as a side effect of
	// the query job.
	SchemaUpdateOptions []string
}

QueryConfig holds the configuration for a query job.

type QueryParameter added in v0.5.0 

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.
	//
	// When you create a QueryParameter to send to BigQuery, 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
	// *big.Rat: NUMERIC
	// Arrays and slices of the above.
	// Structs of the above. Only the exported fields are used.
	//
	// When a QueryParameter is returned inside a QueryConfig from a call to
	// Job.Config:
	// Integers are of type int64.
	// Floating-point values are of type float64.
	// Arrays are of type []interface{}, regardless of the array element type.
	// Structs are of type map[string]interface{}.
	Value interface{}
}

A QueryParameter is a parameter to a query.

type QueryPriority added in v0.3.0 

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

	// Describes a timeline of job execution.
	Timeline []*QueryTimelineSample

	// 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

	// Slot-milliseconds consumed by this query job.
	SlotMillis int64

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

	// DDL target table.
	DDLTargetTable *Table

	// DDL Operation performed on the target table.  Used to report how the
	// query impacted the DDL target table.
	DDLOperationPerformed string
}

QueryStatistics contains statistics about a query job.

type QueryTimelineSample added in v0.22.0 

type QueryTimelineSample struct {

	// Total number of units currently being processed by workers, represented as largest value since last sample.
	ActiveUnits int64

	// Total parallel units of work completed by this query.
	CompletedUnits int64

	// Time elapsed since start of query execution.
	Elapsed time.Duration

	// Total parallel units of work remaining for the active stages.
	PendingUnits int64

	// Cumulative slot-milliseconds consumed by the query.
	SlotMillis int64
}

QueryTimelineSample represents a sample of execution statistics at a point in time.

type ReaderSource added in v0.4.0 

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.

When a ReaderSource is part of a LoadConfig obtained via Job.Config, its internal io.Reader will be nil, so it cannot be used for a subsequent load operation.

func NewReaderSource added in v0.4.0 

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 added in v0.3.0 

type RowIterator struct {

	// StartIndex can be set before the first call to Next. If PageInfo().Token
	// is also set, StartIndex is ignored.
	StartIndex uint64

	// The schema of the table. Available after the first call to Next.
	Schema Schema

	// The total number of rows in the result. Available after the first call to Next.
	// May be zero just after rows were inserted.
	TotalRows uint64
	// contains filtered or unexported fields
}

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

func (*RowIterator) Next added in v0.3.0 

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, unless the field is of type []byte or is one of the special Null types: NullInt64, NullFloat64, NullBool, NullString, NullTimestamp, NullDate, NullTime or NullDateTime. You can also use a *[]Value or *map[string]Value to read from a table with NULLs.

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 added in v0.3.0 

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. Each exported struct field is mapped to a field in the schema.

The following BigQuery types are inferred from the corresponding Go types. (This is the same mapping as that used for RowIterator.Next.) Fields inferred from these types are marked required (non-nullable). 

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
NUMERIC     *big.Rat

The big.Rat type supports numbers of arbitrary size and precision. Values will be rounded to 9 digits after the decimal point before being transmitted to BigQuery. See https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types#numeric-type for more on NUMERIC.

A Go slice or array type is inferred to be a BigQuery repeated field of the element type. The element type must be one of the above listed types.

Nullable fields are inferred from the NullXXX types, declared in this package: 

STRING      NullString
BOOL        NullBool
INTEGER     NullInt64
FLOAT       NullFloat64
TIMESTAMP   NullTimestamp
DATE        NullDate
TIME        NullTime
DATETIME    NullDateTime

For a nullable BYTES field, use the type []byte and tag the field "nullable" (see below). For a nullable NUMERIC field, use the type *big.Rat and tag the field "nullable".

A struct field that is of struct type is inferred to be a required field of type RECORD with a schema inferred recursively. For backwards compatibility, a field of type pointer to struct is also inferred to be required. To get a nullable RECORD field, use the "nullable" tag (see below).

InferSchema returns an error if any of the examined fields is of type uint, uint64, uintptr, map, interface, complex64, complex128, func, or chan. Future versions may handle these cases without error.

Recursively defined structs are also disallowed.

Struct fields may be tagged in a way similar to the encoding/json package. A tag of the form 

bigquery:"name"

uses "name" instead of the struct field name as the BigQuery field name. A tag of the form 

bigquery:"-"

omits the field from the inferred schema. The "nullable" option marks the field as nullable (not required). It is only needed for []byte, *big.Rat and pointer-to-struct fields, and cannot appear on other fields. In this example, the Go name of the field is retained: 

bigquery:",nullable"
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:"-"`
		Optional bigquery.NullBool
		OptBytes []byte `bigquery:",nullable"`
	}
	schema, err := bigquery.InferSchema(Item{})
	if err != nil {
		fmt.Println(err)
		// TODO: Handle error.
	}
	for _, fs := range schema {
		fmt.Println(fs.Name, fs.Type, fs.Required)
	}
}

Output:

Name STRING true
Size FLOAT true
number INTEGER true
Optional BOOLEAN false
OptBytes BYTES false

func SchemaFromJSON added in v0.27.0 

func SchemaFromJSON(schemaJSON []byte) (Schema, error)

SchemaFromJSON takes a JSON BigQuery table schema definition (as generated by https://github.com/GoogleCloudPlatform/protoc-gen-bq-schema) and returns a fully-populated Schema.

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 v0.6.0 

type StructSaver struct {
	// Schema determines what fields of the struct are uploaded. It should
	// match the table's schema.
	// Schema is optional for StructSavers that are passed to Uploader.Put.
	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 v0.6.0 

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 added in v0.3.0 

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 added in v0.2.0 

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

Create creates a table in the BigQuery service. Pass in a TableMetadata value to configure the table. If tm.View.Query is non-empty, the created table will be of type VIEW. Expiration can only be set during table creation. After table creation, a view can be modified only if its table was initially created with a view.

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 (EncryptionKey)

This example demonstrates how to create a table with a customer-managed encryption key. 

package main

import (
	"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")

	// TODO: Replace this key with a key you have created in Cloud KMS.
	keyName := "projects/P/locations/L/keyRings/R/cryptoKeys/K"
	if err := t.Create(ctx,
		&bigquery.TableMetadata{
			Name:             "My New Table",
			Schema:           schema,
			EncryptionConfig: &bigquery.EncryptionConfig{KMSKeyName: keyName},
		}); 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:
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) (err 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 added in v0.3.0 

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 added in v0.3.0 

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) (md *TableMetadata, err 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 added in v0.2.0 

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 added in v0.3.0 

func (t *Table) Update(ctx context.Context, tm TableMetadataToUpdate, etag string) (md *TableMetadata, err 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 v0.4.0 

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.

To stream rows into a date-partitioned table at a particular date, add the $yyyymmdd suffix to the table name when constructing 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.
	}
	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 added in v0.2.0 

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

A TableIterator is an iterator over Tables.

func (*TableIterator) Next added in v0.2.0 

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 added in v0.2.0 

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.
	// Deprecated: use UseLegacySQL.
	UseStandardSQL bool

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

	// Clustering specifies the data clustering configuration for the table.
	Clustering *Clustering

	// 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

	// User-provided labels.
	Labels map[string]string

	// Information about a table stored outside of BigQuery.
	ExternalDataConfig *ExternalDataConfig

	// Custom encryption configuration (e.g., Cloud KMS keys).
	EncryptionConfig *EncryptionConfig

	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 added in v0.3.0 

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

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

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

	// The table's encryption configuration.  When calling Update, ensure that
	// all mutable fields of EncryptionConfig are populated.
	EncryptionConfig *EncryptionConfig

	// The time when this table expires.
	ExpirationTime time.Time

	// The query to use for a view.
	ViewQuery optional.String

	// Use Legacy SQL for the view query.
	UseLegacySQL optional.Bool

	// TimePartitioning allows modification of certain aspects of partition
	// configuration such as partition expiration and whether partition
	// filtration is required at query time.  When calling Update, ensure
	// that all mutable fields of TimePartitioning are populated.
	TimePartitioning *TimePartitioning
	// contains filtered or unexported fields
}

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

func (*TableMetadataToUpdate) DeleteLabel added in v0.16.0 

func (u *TableMetadataToUpdate) DeleteLabel(name string)

DeleteLabel causes a label to be deleted on a call to Update.

func (*TableMetadataToUpdate) SetLabel added in v0.16.0 

func (u *TableMetadataToUpdate) SetLabel(name, value string)

SetLabel causes a label to be added or modified on a call to Update.

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

	// If empty, the table is partitioned by pseudo column '_PARTITIONTIME'; if set, the
	// table is partitioned by this field. The field must be a top-level TIMESTAMP or
	// DATE field. Its mode must be NULLABLE or REQUIRED.
	Field string

	// If true, queries that reference this table must include a filter (e.g. a WHERE predicate)
	// that can be used for partition elimination.
	RequirePartitionFilter bool
}

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{}) (err 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:
Example (ValuesSaver) 
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()

	var vss []*bigquery.ValuesSaver
	for i, name := range []string{"n1", "n2", "n3"} {
		// Assume schema holds the table's schema.
		vss = append(vss, &bigquery.ValuesSaver{
			Schema:   schema,
			InsertID: name,
			Row:      []bigquery.Value{name, int64(i)},
		})
	}

	if err := u.Put(ctx, vss); 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.

Source Files

View all Source files

Directories

Path Synopsis
datatransfer
apiv1
Package datatransfer is an auto-generated package for the BigQuery Data Transfer API.
 Package datatransfer is an auto-generated package for the BigQuery Data Transfer API.

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