Browse by type
Official pure Rust typed client for ClickHouse DB.
serde for encoding/decoding rows.serde attributes: skip_serializing, skip_deserializing, rename.RowBinaryWithNamesAndTypes or RowBinary formats over HTTP transport.RowBinaryWithNamesAndTypes with database schema validation is used.RowBinary, which can potentially lead to increased performance (see below).Native format over TCP.native-tls and rustls-tls features below).Note: ch2rs is useful to generate a row type from ClickHouse.
Starting from 0.14.0, the crate uses RowBinaryWithNamesAndTypes format by default, which allows row types validation
against the ClickHouse schema. This enables clearer error messages in case of schema mismatch at the cost of
performance. Additionally, with enabled validation, the crate supports structs with correct field names and matching
types, but incorrect order of the fields, with an additional slight (5-10%) performance penalty.
If you are looking to maximize performance, you could disable validation using Client::with_validation(false). When
validation is disabled, the client switches to RowBinary format usage instead.
The downside with plain RowBinary is that instead of clearer error messages, a mismatch between Row and database
schema will result in a NotEnoughData error without specific details.
However, depending on the dataset, there might be x1.1 to x3 performance improvement, but that highly depends on the shape and volume of the dataset.
It is always recommended to measure the performance impact of validation in your specific use case. Additionally, writing smoke tests to ensure that the row types match the ClickHouse schema is highly recommended, if you plan to disable validation in your application.
To use the crate, add this to your Cargo.toml:
[dependencies]
clickhouse = "0.14.2"
[dev-dependencies]
clickhouse = { version = "0.14.2", features = ["test-util"] }
```rust,no_run use clickhouse::Client;
let client = Client::default() .with_url("http://localhost:8123") .with_user("name") .with_password("123") .with_database("test");
* Reuse created clients or clone them in order to reuse a connection pool.
### Select rows
```rust,no_run
use serde::Deserialize;
use clickhouse::Row;
#[derive(Row, Deserialize)]
struct MyRow<'a> {
no: u32,
name: &'a str,
}
async fn example(client: clickhouse::Client) -> clickhouse::error::Result<()> {
let mut cursor = client
.query("SELECT ?fields FROM some WHERE no BETWEEN ? AND ?")
.bind(500)
.bind(504)
.fetch::<MyRow<'_>>()?;
while let Some(row) = cursor.next().await? {
println!("no: {}, name: {}", row.no, row.name);
}
Ok(())
}
?fields is replaced with no, name (fields of Row).? is replaced with values in following bind() calls.fetch_one::<Row>() and fetch_all::<Row>() can be used to get a first row or all rows correspondingly.sql::Identifier can be used to bind table names.Note that cursors can return an error even after producing some rows. To avoid this, use client.with_setting("wait_end_of_query", "1") in order to enable buffering on the server-side. More details. The buffer_size setting can be useful too.
```rust,no_run use serde::Serialize; use clickhouse::Row;
struct MyRow { no: u32, name: String, }
async fn example(client: clickhouse::Client) -> clickhouse::error::Result<()> { let mut insert = client.insert::("some").await?; insert.write(&MyRow { no: 0, name: "foo".into() }).await?; insert.write(&MyRow { no: 1, name: "bar".into() }).await?; insert.end().await?; Ok(()) }
* If `end()` isn't called, the `INSERT` is aborted.
* Rows are being sent progressively to spread network load.
* ClickHouse inserts batches atomically only if all rows fit in the same partition and their number is less [`max_insert_block_size`](https://clickhouse.com/docs/en/operations/settings/settings#max_insert_block_size).
### Infinite inserting
Requires the `inserter` feature.
```rust,no_run
use serde::Serialize;
use clickhouse::Row;
use clickhouse::inserter::Inserter;
use std::time::Duration;
#[derive(Row, Serialize)]
struct MyRow {
no: u32,
name: String,
}
async fn example(client: clickhouse::Client) -> clickhouse::error::Result<()> {
let mut inserter = client.inserter::<MyRow>("some")
.with_timeouts(Some(Duration::from_secs(5)), Some(Duration::from_secs(20)))
.with_max_bytes(50_000_000)
.with_max_rows(750_000)
.with_period(Some(Duration::from_secs(15)));
inserter.write(&MyRow { no: 0, name: "foo".into() }).await?;
inserter.write(&MyRow { no: 1, name: "bar".into() }).await?;
let stats = inserter.commit().await?;
if stats.rows > 0 {
println!(
"{} bytes, {} rows, {} transactions have been inserted",
stats.bytes, stats.rows, stats.transactions,
);
}
Ok(())
}
Please, read examples to understand how to use it properly in different real-world cases.
Inserter ends an active insert in commit() if thresholds (max_bytes, max_rows, period) are reached.INSERTs can be biased by using with_period_bias to avoid load spikes by parallel inserters.Inserter::time_left() can be used to detect when the current period ends. Call Inserter::commit() again to check limits if your stream emits items rarely.test-util is enabled (thus, time can be managed by tokio::time::advance() in custom tests).commit() calls are inserted in the same INSERT statement.
### Perform DDL
```rust,no_run
async fn example(client: clickhouse::Client) -> clickhouse::error::Result<()> {
client.query("DROP TABLE IF EXISTS some").execute().await?;
Ok(())
}
lz4 (enabled by default) — enables Compression::Lz4. If enabled, Compression::Lz4 is used by default for all queries.zstd — enables Compression::Zstd(level). If enabled and lz4 is not, Compression::zstd() is used by default for all queries. Uses enable_http_compression for responses instead of native framing.inserter — enables client.inserter().test-util — adds mocks. See the example. Use it only in dev-dependencies.uuid — adds serde::uuid to work with uuid crate.time — adds serde::time to work with time crate.chrono — adds serde::chrono to work with chrono crate.opentelemetry — propagate OpenTelemetry context to ClickHouse server.By default, TLS is disabled and one or more following features must be enabled to use HTTPS urls:
* native-tls — uses native-tls, utilizing dynamic linking (e.g. against OpenSSL).
* rustls-tls — enables rustls-tls-aws-lc and rustls-tls-webpki-roots features.
* rustls-tls-aws-lc — uses rustls with the aws-lc cryptography implementation.
* rustls-tls-ring — uses rustls with the ring cryptography implementation.
* rustls-tls-webpki-roots — uses rustls with certificates provided by the webpki-roots crate.
* rustls-tls-native-roots — uses rustls with certificates provided by the rustls-native-certs crate.
If multiple features are enabled, the following priority is applied:
* native-tls > rustls-tls-aws-lc > rustls-tls-ring
* rustls-tls-native-roots > rustls-tls-webpki-roots
How to choose between all these features? Here are some considerations:
* A good starting point is rustls-tls, e.g. if you use ClickHouse Cloud.
* To be more environment-agnostic, prefer rustls-tls over native-tls.
* Enable rustls-tls-native-roots or native-tls if you want to use self-signed certificates.
Usage of all mentioned data types are covered in the following examples:
(U)Int(8|16|32|64|128) maps to/from corresponding (u|i)(8|16|32|64|128) types or newtypes around them.(U)Int256 are supported with convenience wrappers over [u8; 32]: clickhouse::types::Int256 and clickhouse::types::UInt256. See the derive example.Float(32|64) maps to/from corresponding f(32|64) or newtypes around them.Decimal(32|64|128) maps to/from corresponding i(32|64|128) or newtypes around them. It's more convenient to use fixnum or another implementation of signed fixed-point numbers.Boolean maps to/from bool or newtypes around it.String maps to/from any string or bytes types, e.g. &str, &[u8], String, Vec<u8> or SmartString. Newtypes are also supported. To store bytes, consider using serde_bytes, because it's more efficient.Example
```rust,no_run
use serde::{Serialize, Deserialize};
use clickhouse::Row;
#[derive(Row, Debug, Serialize, Deserialize)]
struct MyRow<'a> {
str: &'a str,
string: String,
#[serde(with = "serde_bytes")]
bytes: Vec<u8>,
#[serde(with = "serde_bytes")]
byte_slice: &'a [u8],
}
```
FixedString(N) is supported as an array of bytes, e.g. [u8; N].Example
```rust,no_run
use clickhouse::Row;
use serde::{Serialize, Deserialize};
#[derive(Row, Debug, Serialize, Deserialize)]
struct MyRow {
fixed_str: [u8; 16], // FixedString(16)
}
```
Enum(8|16) are supported using serde_repr. You could use
#[repr(i8)] for Enum8 and #[repr(i16)] for Enum16.Example
```rust,no_run
use clickhouse::Row;
use serde::{Serialize, Deserialize};
use serde_repr::{Deserialize_repr, Serialize_repr};
#[derive(Row, Serialize, Deserialize)]
struct MyRow {
level: Level,
}
#[derive(Debug, Serialize_repr, Deserialize_repr)]
#[repr(i8)]
enum Level {
Debug = 1,
Info = 2,
Warn = 3,
Error = 4,
}
```
UUID maps to/from uuid::Uuid by using serde::uuid. Requires the uuid feature.Example
```rust,no_run
use serde::{Serialize, Deserialize};
use clickhouse::Row;
#[derive(Row, Serialize, Deserialize)]
struct MyRow {
#[serde(with = "clickhouse::serde::uuid")]
uuid: uuid::Uuid,
}
```
IPv6 maps to/from std::net::Ipv6Addr.IPv4 maps to/from std::net::Ipv4Addr by using serde::ipv4.Example
```rust,no_run
use serde::{Serialize, Deserialize};
use clickhouse::Row;
#[derive(Row, Serialize, Deserialize)]
struct MyRow {
#[serde(with = "clickhouse::serde::ipv4")
$ claude mcp add clickhouse-rs \
-- python -m otcore.mcp_server <graph>