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 = "0.13.1"
[dev-dependencies]
clickhouse = { version = "0.13.1", features = ["test-util"] }
### Note about ClickHouse prior to v22.6
CH server older than v22.6 (2022-06-16) handles `RowBinary` [incorrectly](https://github.com/ClickHouse/ClickHouse/issues/37420) 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
```rust,ignore
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,ignore
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::>()?;
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::()` and `fetch_all::()` 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](https://clickhouse.com/docs/en/interfaces/http/#response-buffering). The `buffer_size` option can be useful too.
### Insert a batch
```rust,ignore
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`](https://clickhouse.tech/docs/en/operations/settings/settings/#settings-max_insert_block_size).
### Infinite inserting
Requires the `inserter` feature.
```rust,ignore
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 `INSERT`s 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](https://docs.rs/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:
```rust,ignore
inserter.end().await?;
```
### Perform DDL
```rust,ignore
client.query("DROP TABLE IF EXISTS some").execute().await?;
```
### Live views
Requires the `watch` feature.
```rust,ignore
let mut cursor = client
.watch("SELECT max(no), argMax(name, no) FROM some")
.fetch::>()?;
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](https://github.com/ClickHouse/ClickHouse/issues/28309#issuecomment-908666042).
* 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](https://github.com/ClickHouse/ClickHouse/issues/22996).
* Only struct rows can be used. Avoid `fetch::()` and other without specified names.
See examples.
Feature Flags
lz4
(enabled by default) — enables Compression::Lz4
. If enabled, Compression::Lz4
is used by default for all queries except for WATCH
.
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.
TLS
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.
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
```rust,ignore
#[derive(Row, Debug, Serialize, Deserialize)]
struct MyRow<'a> {
str: &'a str,
string: String,
#[serde(with = "serde_bytes")]
bytes: Vec,
#[serde(with = "serde_bytes")]
byte_slice: &'a [u8],
}
```
-
FixedString(N)
is supported as an array of bytes, e.g. [u8; N]
.
Example
```rust,ignore
#[derive(Row, Debug, Serialize, Deserialize)]
struct MyRow {
fixed_str: [u8; 16], // FixedString(16)
}
```
-
Enum(8|16)
are supported using serde_repr.
Example
```rust,ignore
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
```rust,ignore
#[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,ignore
#[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
```rust,ignore
#[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
```rust,ignore
#[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
```rust,ignore
#[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
```rust,ignore
#[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
```rust,ignore
#[derive(Row, Serialize, Deserialize)]
struct MyRow {
#[serde(with = "clickhouse::serde::ipv4::option")]
ipv4_opt: Option,
}
```
-
Nested
is supported by providing multiple arrays with renaming.
Example
```rust,ignore
// CREATE TABLE test(items Nested(name String, count UInt32))
#[derive(Row, Serialize, Deserialize)]
struct MyRow {
#[serde(rename = "items.name")]
items_name: Vec,
#[serde(rename = "items.count")]
items_count: Vec,
}
```
-
Geo
types are supported. Point
behaves like a tuple (f64, f64)
, and the rest of the types are just slices of points.
Example
```rust,ignore
type Point = (f64, f64);
type Ring = Vec;
type Polygon = Vec;
type MultiPolygon = Vec;
type LineString = Vec;
type MultiLineString = Vec;
#[derive(Row, Serialize, Deserialize)]
struct MyRow {
point: Point,
ring: Ring,
polygon: Polygon,
multi_polygon: MultiPolygon,
line_string: LineString,
multi_line_string: MultiLineString,
}
```
- New
JSON
data type is currently supported as a string when using ClickHouse 24.10+. See this example for more details.
Variant
, Dynamic
types are not supported for now.
See also the additional examples:
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.