clickhouse-rs

Official pure Rust typed client for ClickHouse DB.

Uses serde for encoding/decoding rows.
Supports serde attributes: skip_serializing, skip_deserializing, rename.
Uses RowBinary encoding over HTTP transport.
- There are plans to switch to Native over TCP.
Supports TLS (see native-tls and rustls-tls features below).
Supports compression and decompression (LZ4 and LZ4HC).
Provides API for selecting.
Provides API for inserting.
Provides API for infinite transactional (see below) inserting.
Provides API for watching live views.
Provides mocks for unit testing.

Note: ch2rs is useful to generate a row type from ClickHouse.

Usage

To use the crate, add this to your Cargo.toml:

[dependencies]
clickhouse = "0.12.2"

[dev-dependencies]
clickhouse = { version = "0.12.2", features = ["test-util"] }

Note about ClickHouse prior to v22.6

CH server older than v22.6 (2022-06-16) handles RowBinary incorrectly in some rare cases. Use 0.11 and enable wa-37420 feature to solve this problem. Don't use it for newer versions.

Create a client

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

use serde::Deserialize;
use clickhouse::Row;

#[derive(Row, Deserialize)]
struct MyRow<'a> {
    no: u32,
    name: &'a str,
}

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? { .. }

Placeholder ?fields is replaced with no, name (fields of Row).
Placeholder ? is replaced with values in following bind() calls.
Convenient 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_option("wait_end_of_query", "1") in order to enable buffering on the server-side. More details. The buffer_size option can be useful too.

Insert a batch

use serde::Serialize;
use clickhouse::Row;

#[derive(Row, Serialize)]
struct MyRow {
    no: u32,
    name: String,
}

let mut insert = client.insert("some")?;
insert.write(&MyRow { no: 0, name: "foo".into() }).await?;
insert.write(&MyRow { no: 1, name: "bar".into() }).await?;
insert.end().await?;

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.

Infinite inserting

Requires the inserter feature.

let mut inserter = client.inserter("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() })?;
inserter.write(&MyRow { no: 1, name: "bar".into() })?;
let stats = inserter.commit().await?;
if stats.rows > 0 {
    println!(
        "{} bytes, {} rows, {} transactions have been inserted",
        stats.bytes, stats.rows, stats.transactions,
    );
}

Inserter ends an active insert in commit() if thresholds (max_bytes, max_rows, period) are reached.
The interval between ending active 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.
Time thresholds implemented by using quanta crate to speed the inserter up. Not used if test-util is enabled (thus, time can be managed by tokio::time::advance() in custom tests).
All rows between commit() calls are inserted in the same INSERT statement.
Do not forget to flush if you want to terminate inserting:

inserter.end().await?;

Perform DDL

client.query("DROP TABLE IF EXISTS some").execute().await?;

Live views

Requires the watch feature.

let mut cursor = client
    .watch("SELECT max(no), argMax(name, no) FROM some")
    .fetch::<Row<'_>>()?;

let (version, row) = cursor.next().await?.unwrap();
println!("live view updated: version={}, row={:?}", version, row);

// Use `only_events()` to iterate over versions only.
let mut cursor = client.watch("some_live_view").limit(20).only_events().fetch()?;
println!("live view updated: version={:?}", cursor.next().await?);

Use carefully.
This code uses or creates if not exists a temporary live view named lv_{sha1(query)} to reuse the same live view by parallel watchers.
You can specify a name instead of a query.
This API uses JSONEachRowWithProgress under the hood because of the issue.
Only struct rows can be used. Avoid fetch::<u64>() and other without specified names.

See examples.

Feature Flags

lz4 (enabled by default) — enables Compression::Lz4 and Compression::Lz4Hc(_) variants. If enabled, Compression::Lz4 is used by default for all queries except for WATCH.
native-tls — supports urls with the HTTPS schema via hyper-tls, which links against OpenSSL.
rustls-tls — supports urls with the HTTPS schema via hyper-rustls, which does not link against OpenSSL.
inserter — enables client.inserter().
test-util — adds mocks. See the example. Use it only in dev-dependencies.
watch — enables client.watch functionality. See the corresponding section for details.
uuid — adds serde::uuid to work with uuid crate.
time — adds serde::time to work with time crate.

NOTE: When connecting to ClickHouse via an HTTPS url, you must enable either the native-tls or rustls-tls features. If both are enabled, the rustls-tls feature will take precedence.

Data Types

(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 aren't supported directly, but there is a workaround for it.
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

#[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

#[derive(Row, Debug, Serialize, Deserialize)]
struct MyRow {
    fixed_str: [u8; 16], // FixedString(16)
}

Enum(8|16) are supported using serde_repr.

Example

use serde_repr::{Deserialize_repr, Serialize_repr};

#[derive(Row, Serialize, Deserialize)]
struct MyRow {
    level: Level,
}

#[derive(Debug, Serialize_repr, Deserialize_repr)]
#[repr(u8)]
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

#[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

#[derive(Row, Serialize, Deserialize)]
struct MyRow {
    #[serde(with = "clickhouse::serde::ipv4")]
    ipv4: std::net::Ipv4Addr,
}

Date maps to/from u16 or a newtype around it and represents a number of days elapsed since 1970-01-01. Also, time::Date is supported by using serde::time::date, that requires the time feature.
Example
```
#[derive(Row, Serialize, Deserialize)]
struct MyRow {
    days: u16,
    #[serde(with = "clickhouse::serde::time::date")]
    date: Date,
}
```
Date32 maps to/from i32 or a newtype around it and represents a number of days elapsed since 1970-01-01. Also, time::Date is supported by using serde::time::date32, that requires the time feature.
Example
```
#[derive(Row, Serialize, Deserialize)]
struct MyRow {
    days: i32,
    #[serde(with = "clickhouse::serde::time::date32")]
    date: Date,
}
```
DateTime maps to/from u32 or a newtype around it and represents a number of seconds elapsed since UNIX epoch. Also, time::OffsetDateTime is supported by using serde::time::datetime, that requires the time feature.
Example
```
#[derive(Row, Serialize, Deserialize)]
struct MyRow {
    ts: u32,
    #[serde(with = "clickhouse::serde::time::datetime")]
    dt: OffsetDateTime,
}
```

DateTime64(_) maps to/from i32 or a newtype around it and represents a time elapsed since UNIX epoch. Also, time::OffsetDateTime is supported by using serde::time::datetime64::*, that requires the time feature.

Example

#[derive(Row, Serialize, Deserialize)]
struct MyRow {
    ts: i64, // elapsed s/us/ms/ns depending on `DateTime64(X)`
    #[serde(with = "clickhouse::serde::time::datetime64::secs")]
    dt64s: OffsetDateTime,  // `DateTime64(0)`
    #[serde(with = "clickhouse::serde::time::datetime64::millis")]
    dt64ms: OffsetDateTime, // `DateTime64(3)`
    #[serde(with = "clickhouse::serde::time::datetime64::micros")]
    dt64us: OffsetDateTime, // `DateTime64(6)`
    #[serde(with = "clickhouse::serde::time::datetime64::nanos")]
    dt64ns: OffsetDateTime, // `DateTime64(9)`
}

Tuple(A, B, ...) maps to/from (A, B, ...) or a newtype around it.
Array(_) maps to/from any slice, e.g. Vec<_>, &[_]. Newtypes are also supported.
Map(K, V) behaves like Array((K, V)).
LowCardinality(_) is supported seamlessly.

Nullable(_) maps to/from Option<_>. For clickhouse::serde::* helpers add ::option.

Example

#[derive(Row, Serialize, Deserialize)]
struct MyRow {
    #[serde(with = "clickhouse::serde::ipv4::option")]
    ipv4_opt: Option<Ipv4Addr>,
}

Nested is supported by providing multiple arrays with renaming.

Example

// CREATE TABLE test(items Nested(name String, count UInt32))
#[derive(Row, Serialize, Deserialize)]
struct MyRow {
    #[serde(rename = "items.name")]
    items_name: Vec<String>,
    #[serde(rename = "items.count")]
    items_count: Vec<u32>,
}

Geo types are supported. Point behaves like a tuple (f64, f64), and the rest of the types are just slices of points.

Example

type Point = (f64, f64);
type Ring = Vec<Point>;
type Polygon = Vec<Ring>;
type MultiPolygon = Vec<Polygon>;
type LineString = Vec<Point>;
type MultiLineString = Vec<LineString>;

#[derive(Row, Serialize, Deserialize)]
struct MyRow {
    point: Point,
    ring: Ring,
    polygon: Polygon,
    multi_polygon: MultiPolygon,
    line_string: LineString,
    multi_line_string: MultiLineString,
}

JSON, Variant, Dynamic types are not supported for now.

Mocking

The crate provides utils for mocking CH server and testing DDL, SELECT, INSERT and WATCH queries.

The functionality can be enabled with the test-util feature. Use it only in dev-dependencies.

See the example.

pravic/clickhouse-rs

clickhouse-rs

Usage

Note about ClickHouse prior to v22.6

Create a client

Select rows

Insert a batch

Infinite inserting

Perform DDL

Live views

Feature Flags

Data Types

Mocking