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Crate google_cloud_bigquery

Crate google_cloud_bigquery 

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Google Cloud Client Libraries for Rust - BigQuery

NOTE: While the version is still 0.x, we believe the APIs to be stable. We plan to release a 1.0 version of this crate in the following release.

We welcome feedback about the APIs, documentation, missing features, bugs, etc.

This crate contains traits, types, and functions to interact with Google Cloud BigQuery. Most applications will use the structs defined in the client module.

For executing queries and managing jobs:

For reading query results efficiently:

For streaming data to BigQuery:

§Example: Executing a Query

// Create a client configured with a default project ID.
let client = BigQuery::builder()
    .with_project_id("my-project-id")
    .build()
    .await?;

// Configure, run, and read query results.
let mut rows = client
    .query("SELECT 'hello world' AS greeting")
    .until_done()
    .await?
    .read();

while let Some(row) = rows.next().await.transpose()? {
    let greeting: String = row.get("greeting")?;
    println!("Greeting: {greeting}");
}

§Example: Mapping Rows to Rust Structs

Define typed Rust structs with #[derive(FromRow)] to convert rows directly into domain types using TryFrom<Row>:

#[derive(FromRow, Debug)]
struct UserStats {
    name: String,
    number: i64,
}

let mut rows = client
    .query("SELECT name, number FROM `bigquery-public-data.usa_names.usa_1910_2013` WHERE state = 'WA' LIMIT 5")
    .until_done()
    .await?
    .read();

while let Some(row) = rows.next().await.transpose()? {
    let user: UserStats = row.try_into()?;
    println!("{} has count {}", user.name, user.number);
}

§Example: Reading from BigQuery

use google_cloud_bigquery::client::Read;
use google_cloud_bigquery::model::{DataFormat, ReadSession};
let client = Read::builder().build().await?;

let session = client
    .create_read_session()
    .set_parent("projects/my-project")
    .set_read_session(
        ReadSession::new()
            .set_data_format(DataFormat::Arrow)
            .set_table("projects/my-project/datasets/my-dataset/tables/my-table"),
    )
    .set_max_stream_count(1)
    .send()
    .await?;

for stream in &session.streams {
    let mut rows = client
        .read_rows()
        .set_read_stream(&stream.name)
        .send()
        .await?;

    while let Some(response) = rows.next().await.transpose()? {
        println!("Read {} rows", response.row_count);
    }
}

§Example: Writing to BigQuery

use google_cloud_bigquery::client::Write;
use google_cloud_bigquery::model::{ArrowSchema, ArrowRecordBatch};
let client = Write::builder().build().await?;
let writer = client
    .open_default_stream("projects/my-project/datasets/my-dataset/tables/my-table")
    .build_arrow(schema())
    .await?;

let f1 = writer.append(rows()).send();
let f2 = writer.append(rows()).send();

let _ = f1.await?;
let _ = f2.await?;

fn schema() -> ArrowSchema {
    todo!("Define your table's schema...")
}
fn rows() -> ArrowRecordBatch {
    todo!("Serialize your rows...")
}

Modules§

builder
Request and client builders.
client
Clients to interact with Google Cloud BigQuery.
datatypes
Custom data types for BigQuery.
error
Custom errors for the BigQuery clients.
model
The messages and enums that are part of this client library.
model_ext
Extends crate::model.
query
Types related to querying with a BigQuery client.
stub
Traits to mock the clients in this library.
write
Types related to writing with a Write client.

Structs§

Error
The core error returned by all client libraries.

Type Aliases§

Result
An alias of std::result::Result where the error is always Error.