id stringlengths 36 36 | document stringlengths 3 3k | metadata stringlengths 23 69 | embeddings listlengths 384 384 |
|---|---|---|---|
1a0c226d-6b8d-46bc-bead-fb7ec8ae896b | sidebar_label: 'Rust'
sidebar_position: 5
keywords: ['clickhouse', 'rs', 'rust', 'cargo', 'crate', 'http', 'client', 'connect', 'integrate']
slug: /integrations/rust
description: 'The official Rust client for connecting to ClickHouse.'
title: 'ClickHouse Rust Client'
doc_type: 'reference'
ClickHouse Rust client
T... | {"source_file": "rust.md"} | [
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0.0338093601167202,
0.05745277926325798,
-0.01... |
49dc85de-40ff-4681-95e2-fa90bd33f638 | Usage {#usage}
:::note
ch2rs
crate is useful to generate a row type from ClickHouse.
:::
Creating a client instance {#creating-a-client-instance}
:::tip
Reuse created clients or clone them in order to reuse the underlying hyper connection pool.
:::
```rust
use clickhouse::Client;
let client = Client::defaul... | {"source_file": "rust.md"} | [
-0.04552222788333893,
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-0.035271380096673965,
0.034280166029930115,
0... |
4cec8836-6253-4ad9-8186-0b4b37ad79f2 | 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 as a stream to spread the network load.
Clic... | {"source_file": "rust.md"} | [
-0.04243118688464165,
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0.036185845732688904,
0.05152406170964241,
... |
4bf6e9c9-de43-4c0b-a2bd-4fd960c3382e | :::
Executing DDLs {#executing-ddls}
With a single-node deployment, it is enough to execute DDLs like this:
rust
client.query("DROP TABLE IF EXISTS some").execute().await?;
However, on clustered deployments with a load-balancer or ClickHouse Cloud, it is recommended to wait for the DDL to be applied on all the ... | {"source_file": "rust.md"} | [
-0.08276312053203583,
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0.010781345888972282,
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-0.021456696093082428,
0.059362489730119705,... |
5fe4cdd7-d2f0-4149-abc9-d92d6dc65201 | ```rust
use hyper_util::client::legacy::connect::HttpConnector;
use hyper_util::client::legacy::Client as HyperClient;
use hyper_util::rt::TokioExecutor;
let connector = HttpConnector::new(); // or HttpsConnectorBuilder
let hyper_client = HyperClient::builder(TokioExecutor::new())
// For how long keep a particula... | {"source_file": "rust.md"} | [
-0.06063647195696831,
0.0110175721347332,
-0.038490984588861465,
0.03829566761851311,
-0.003272819332778454,
-0.03167121484875679,
-0.004562871064990759,
-0.08810646831989288,
-0.02047780528664589,
-0.04894770309329033,
0.015192855149507523,
0.006210490129888058,
-0.0353873111307621,
0.020... |
084567b7-571e-44c9-9c6b-bab0fe4811fe | ```rust
[derive(Row, Serialize, Deserialize)]
struct MyRow {
#[serde(with = "clickhouse::serde::uuid")]
uuid: uuid::Uuid,
}
``
*
IPv6
maps to/from [
std::net::Ipv6Addr
](https://doc.rust-lang.org/stable/std/net/struct.Ipv6Addr.html).
*
IPv4
maps to/from [
std::net::Ipv4Addr
](https://doc.rust-lang.org/stab... | {"source_file": "rust.md"} | [
-0.0009441738366149366,
0.06365743279457092,
0.03422529250383377,
-0.012410188093781471,
-0.00524345226585865,
0.030559340491890907,
0.018515456467866898,
-0.015285151079297066,
-0.03482171893119812,
-0.08128992468118668,
0.022412750869989395,
-0.010274388827383518,
-0.050834160298109055,
... |
dd240faf-4af3-4781-b1e9-78501fc17646 | Map(K, V)
behaves like
Array((K, V))
.
LowCardinality(_)
is supported seamlessly.
Nullable(_)
maps to/from
Option<_>
. For
clickhouse::serde::*
helpers add
::option
.
```rust
[derive(Row, Serialize, Deserialize)]
struct MyRow {
#[serde(with = "clickhouse::serde::ipv4::option")]
ipv4_opt: Opt... | {"source_file": "rust.md"} | [
0.007673956919461489,
0.025793615728616714,
0.01229263935238123,
0.028113175183534622,
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0.07772089540958405,
0.0024674709420651197,
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-0.04330182820558548,
0.05997619405388832,
-0.020326972007751465,
-0.023680098354816437,
0.... |
82594b05-3d9b-4046-8845-94013b34172b | slug: /integrations/language-clients
title: 'Language Clients'
description: 'Table of contents page for Language Clients.'
keywords: ['Language Clients', 'C++', 'Go', 'JavaScript', 'Java', 'Python', 'Rust']
doc_type: 'landing-page'
In this section of the documentation, you can learn more about the many language cli... | {"source_file": "index.md"} | [
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0.03559444472193718,
0.01833733730018139,
0.024928558617830276,
-0.018552543595433235,
-0.06528394669294357,
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0.004029633477330208,
0.035496603697538376,
0... |
1ec70452-bb7c-43b4-9216-5fcc36ce8478 | description: 'Get started with the Moose Stack - a code-first approach to building on top of ClickHouse with type-safe schemas and local development'
sidebar_label: 'Moose OLAP (TypeScript / Python)'
sidebar_position: 25
slug: /interfaces/third-party/moose-olap
title: 'Developing on ClickHouse with Moose OLAP'
keywords... | {"source_file": "moose-olap.md"} | [
-0.06689649075269699,
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0.025836020708084106,
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0.03236470744013786,
-0.0578904002904892,
0.016370056197047234,
-0.075748972594738,
-0.0133... |
8003b89e-119d-4668-b411-88e38c5929ae | ```bash
TypeScript
moose init my-project --from-remote https://explorer:@play.clickhouse.com:443/?database=default --language typescript
Python
moose init my-project --from-remote https://explorer:@play.clickhouse.com:443/?database=default --language python
```
Install dependencies {#step-3-install-dependenci... | {"source_file": "moose-olap.md"} | [
-0.023754112422466278,
-0.11139734089374542,
0.023707352578639984,
0.000935712072532624,
0.022075535729527473,
0.004578988999128342,
-0.011054182425141335,
0.028778422623872757,
-0.036894675344228745,
0.07346910238265991,
-0.08745423704385757,
-0.012200170196592808,
-0.07078055292367935,
0... |
72e8215d-8c6c-4ff9-bf54-bd9c0250e68b | sidebar_label: 'JavaScript'
sidebar_position: 4
keywords: ['clickhouse', 'js', 'JavaScript', 'NodeJS', 'web', 'browser', 'Cloudflare', 'workers', 'client', 'connect', 'integrate']
slug: /integrations/javascript
description: 'The official JS client for connecting to ClickHouse.'
title: 'ClickHouse JS'
doc_type: 'referen... | {"source_file": "js.md"} | [
-0.08836230635643005,
-0.01621132157742977,
-0.006075604353100061,
-0.0035919290967285633,
0.0020850852597504854,
-0.007811886724084616,
0.003577656578272581,
-0.009615893475711346,
-0.03600664809346199,
-0.03711026906967163,
-0.00592992315068841,
0.04961560666561127,
0.03697560355067253,
... |
e2a09e7f-267f-4d11-b402-12ab18c12a9d | Examples {#examples}
We aim to cover various scenarios of client usage with the
examples
in the client repository.
The overview is available in the
examples README
.
If something is unclear or missing from the examples or from the following documentation, feel free to
contact us
.
Client API {#client-api}
... | {"source_file": "js.md"} | [
-0.09436456114053726,
-0.05069600045681,
0.028350582346320152,
-0.00201373640447855,
0.013636600226163864,
-0.03994262218475342,
-0.01424268539994955,
0.0602174811065197,
-0.02359098568558693,
-0.003186275018379092,
-0.0363849401473999,
0.005959330126643181,
0.06908536702394485,
0.02243329... |
df8c02b8-6c92-4422-9061-d4a1fc8dd145 | | Setting | Description | Default Value | See Also |
|-------------------------------------... | {"source_file": "js.md"} | [
0.049140844494104385,
0.05806281417608261,
-0.015603804029524326,
0.012566464021801949,
-0.07712008059024811,
0.07441917061805725,
0.03423570469021797,
0.060115765780210495,
0.031723350286483765,
-0.04035314545035362,
0.020298777148127556,
-0.08024835586547852,
-0.01193432230502367,
-0.036... |
fb3d46d7-1843-47e0-94be-4c1bbc2176b4 | |
clickhouse_settings
?: ClickHouseSettings | ClickHouse settings to apply to all requests. |
{}
| - |
|
log
?:
{ **LoggerClass**?: Logger, *... | {"source_file": "js.md"} | [
-0.026251936331391335,
0.016294021159410477,
0.010036823339760303,
0.035041894763708115,
0.02488788589835167,
-0.11065113544464111,
0.04872681945562363,
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0.03379681706428528,
-0.04644602909684181,
-0.03147940710186958,
-0.004252516198903322,
0.01... |
6ab30a97-e61a-416b-b434-dc33d1729971 | Node.js-specific configuration parameters {#nodejs-specific-configuration-parameters}
| Setting | Description | Default Value | See Also ... | {"source_file": "js.md"} | [
0.032792530953884125,
0.0695859044790268,
0.014332462102174759,
0.015372147783637047,
-0.02707182615995407,
-0.008389027789235115,
-0.01902490295469761,
0.0583631731569767,
0.004400676116347313,
-0.044245682656764984,
-0.02324974723160267,
-0.01752551458775997,
-0.019740888848900795,
-0.07... |
23b97774-353c-4579-8068-b9ad4ddb4e61 | | Parameter | Type |
|---------------------------------------------|-------------------------------------------------------------------|
|
pathname
| an arbitrary string. ... | {"source_file": "js.md"} | [
-0.05002466216683388,
0.07018085569143295,
-0.17068105936050415,
0.02552592009305954,
0.0006632421864196658,
-0.057857900857925415,
0.06293083727359772,
0.03142745792865753,
-0.01899978518486023,
-0.01111514586955309,
0.0052822045981884,
-0.031011829152703285,
0.09180421382188797,
-0.02346... |
37f7190d-5037-4e98-ab8a-11d6fa8c29f9 | Example:
Creating a Node.js Client instance using environment variables for configuration.
```ts
import { createClient } from '@clickhouse/client'
const client = createClient({
url: process.env.CLICKHOUSE_HOST ?? 'http://localhost:8123',
username: process.env.CLICKHOUSE_USER ?? 'default',
password: process.e... | {"source_file": "js.md"} | [
-0.09005531668663025,
-0.03990408033132553,
-0.029491793364286423,
0.05986509472131729,
-0.027724599465727806,
-0.07038978487253189,
0.04918838292360306,
-0.02733595110476017,
0.050564445555210114,
0.019953666254878044,
-0.07428484410047531,
0.05791953206062317,
0.08654621988534927,
-0.005... |
bd79818a-1d41-490f-90d0-4efc04eff7eb | Query method {#query-method}
This is used for most statements that can have a response, such as
SELECT
, or for sending DDLs such as
CREATE TABLE
and should be awaited. The returned result set is expected to be consumed in the application.
:::note
There is a dedicated method
insert
for data insertion, and
com... | {"source_file": "js.md"} | [
-0.10677792876958847,
0.0694456398487091,
-0.031131528317928314,
0.07820534706115723,
-0.09226911514997482,
-0.009229016490280628,
0.007852697744965553,
0.10336042940616608,
0.007629386615008116,
0.002201844472438097,
-0.011016161181032658,
0.00817279051989317,
0.04420756176114082,
-0.0848... |
375a9547-b623-4d68-bde7-7bc3a817925f | // Consume the entire stream and parse the contents as a JS object
// Can be used only with JSON formats
// Should be called only once
json
(): Promise
// Returns a readable stream for responses that can be streamed
// Every iteration over the stream provides an array of Row[] in the selected DataFormat
// ... | {"source_file": "js.md"} | [
-0.07724496722221375,
0.04645243287086487,
0.008646023459732533,
0.0649484395980835,
-0.03779153153300285,
-0.003803126746788621,
-0.016927560791373253,
0.06728648394346237,
0.013878840021789074,
0.0011968963081017137,
-0.09429748356342316,
0.029432740062475204,
-0.07178463786840439,
0.064... |
835d9536-f1d3-47d2-aa2d-7a1d970691b4 | Example:
(Web only) Iteration over the
ReadableStream
of objects.
```ts
const resultSet = await client.query({
query: 'SELECT * FROM system.numbers LIMIT 10',
format: 'JSONEachRow'
})
const reader = resultSet.stream().getReader()
while (true) {
const { done, value: rows } = await reader.read()
if (done) ... | {"source_file": "js.md"} | [
-0.09726957231760025,
0.04532160237431526,
-0.021921930834650993,
0.11728952080011368,
-0.05609172582626343,
-0.05050477012991905,
-0.030472826212644577,
0.07325182855129242,
0.020954176783561707,
0.010508222505450249,
-0.029614927247166634,
0.06314317137002945,
-0.010500017553567886,
-0.0... |
d73faf1a-abd8-40b6-8474-1ddccbc9cb70 | You can see how it is used in the
INSERT INTO ... VALUES
or
INSERT INTO ... SELECT
examples.
:::
ts
interface InsertParams<T> extends BaseQueryParams {
// Table name to insert the data into
table: string
// A dataset to insert.
values: ReadonlyArray<T> | Stream.Readable
// Format of the dataset to inser... | {"source_file": "js.md"} | [
-0.02576095052063465,
0.05056289583444595,
-0.05770447477698326,
0.06564949452877045,
-0.08565051108598709,
0.023751122877001762,
0.013003225438296795,
0.06283846497535706,
-0.023373546078801155,
0.028738340362906456,
-0.01560269109904766,
-0.01093844510614872,
0.05087997764348984,
-0.0511... |
685af84a-6a5b-44c3-8f89-0462cb3ad823 | Web version limitations {#web-version-limitations}
Currently, inserts in
@clickhouse/client-web
only work with
Array<T>
and
JSON*
formats.
Inserting streams is not supported in the web version yet due to poor browser compatibility.
Consequently, the
InsertParams
interface for the web version looks slightly ... | {"source_file": "js.md"} | [
-0.03542536869645119,
-0.0012235735775902867,
-0.023515352979302406,
0.04707980155944824,
-0.05891929194331169,
-0.0052253482863307,
-0.0580582395195961,
0.02713514119386673,
-0.03449845686554909,
0.001576764858327806,
-0.008106931112706661,
0.01096150279045105,
0.04518717899918556,
-0.024... |
033a5fff-044b-4ccc-ae57-f75b7cd5a13e | :::important
A request cancelled with
abort_signal
does not guarantee that the statement wasn't executed by the server.
:::
Exec method {#exec-method}
If you have a custom query that does not fit into
query
/
insert
,
and you are interested in the result, you can use
exec
as an alternative to
command
.
exec... | {"source_file": "js.md"} | [
-0.0639583021402359,
0.03344234824180603,
0.005163033492863178,
0.06404683738946915,
-0.007108671590685844,
-0.039019402116537094,
0.030178764835000038,
0.043224919587373734,
-0.0022034712601453066,
0.06108366325497627,
-0.046643756330013275,
0.0062494887970387936,
-0.01760794408619404,
-0... |
99397287-81dc-4a77-b61f-5807e08ab941 | Source code
.
ts
const result = await client.ping();
if (!result.success) {
// process result.error
}
Example:
If you want to also check the credentials when calling the
ping
method, or specify additional params such as
query_id
, you could use it as follows:
ts
const result = await client.ping({ select: tr... | {"source_file": "js.md"} | [
-0.04442252218723297,
0.06789331138134003,
-0.011875653639435768,
0.03022061660885811,
0.07347749918699265,
-0.031182803213596344,
0.04060637578368187,
0.055578190833330154,
0.0237937830388546,
0.08318516612052917,
-0.126216322183609,
0.044000983238220215,
-0.05585388466715813,
-0.04170053... |
cebef799-f0c0-420e-9de7-779901abca47 | | Format | Input (array) | Input (object) | Input/Output (Stream) | Output (JSON) | Output (text) |
|--------------------------------------------|---------------|----------------|-----------------------|---------------|----------------|
| JSON |... | {"source_file": "js.md"} | [
0.01752292737364769,
-0.019185524433851242,
-0.10835207998752594,
0.039299797266721725,
-0.07577932626008987,
0.056695401668548584,
-0.033255960792303085,
0.0839269757270813,
-0.014325160533189774,
-0.08766975998878479,
-0.010632534511387348,
-0.07543457299470901,
-0.007311299908906221,
0.... |
143cd8e7-f9d0-4eb9-a43e-e6237bae666c | | TabSeparated | ❌ | ❌ | ✔️ | ❌ | ✔️ |
| TabSeparatedRaw | ❌ | ❌ | ✔️ | ❌ | ✔️ |
| TabSeparatedWithNames |... | {"source_file": "js.md"} | [
-0.008183209225535393,
-0.019715314731001854,
-0.017848465591669083,
-0.06407853960990906,
-0.09231680631637573,
-0.0012801135890185833,
0.07708621025085449,
0.02296401932835579,
-0.06640896201133728,
0.01630801148712635,
0.05811179429292679,
-0.06829296797513962,
0.08156700432300568,
0.01... |
479c2479-6b17-4075-8fcf-984c1e05cf62 | For Parquet, the main use case for selects likely will be writing the resulting stream into a file. See
the example
in the client repository.
JSONEachRowWithProgress
is an output-only format that supports progress reporting in the stream. See
this example
for more details.
The entire list of ClickHouse input a... | {"source_file": "js.md"} | [
-0.09540107101202011,
0.034484319388866425,
-0.07345365732908249,
-0.021694393828511238,
-0.052959345281124115,
-0.008916950784623623,
0.012754463590681553,
0.014590242877602577,
0.0002783965028356761,
-0.001922983443364501,
0.0008800788782536983,
0.025413068011403084,
-0.052927788347005844,... |
157e042f-cc79-4606-aecd-8acd60553303 | The entire list of supported ClickHouse formats is available
here
.
See also:
Working with Dynamic/Variant/JSON examples
Working with Time/Time64 examples
Date/Date32 types caveats {#datedate32-types-caveats}
Since the client inserts values without additional type conversion,
Date
/
Date32
type colum... | {"source_file": "js.md"} | [
-0.024405842646956444,
-0.05240722373127937,
-0.04981224611401558,
0.04937779903411865,
-0.08000627160072327,
0.07536648958921432,
-0.03470028564333916,
0.05646739527583122,
-0.05033108964562416,
0.03723089024424553,
-0.05370205640792847,
-0.0415472611784935,
-0.038845181465148926,
0.08155... |
50ff12c5-89a9-4d71-a62e-6d560a23f42f | expect(await resultSet.json()).toEqual([ { number: 0 } ])
```
ClickHouse settings {#clickhouse-settings}
The client can adjust ClickHouse behavior via
settings
mechanism.
The settings can be set on the client instance level so that they will be applied to every request sent to the
ClickHouse:
ts
const client = ... | {"source_file": "js.md"} | [
-0.0775751918554306,
0.048290688544511795,
0.005950144957751036,
0.12246109545230865,
-0.1035454049706459,
-0.010392898693680763,
0.05732307955622673,
0.05701006203889847,
-0.0878366008400917,
-0.00010663763532647863,
-0.06766143441200256,
-0.04260509833693504,
0.06634178757667542,
0.01805... |
62aa3482-dcfd-4555-a844-6a94f04892d8 | }
type ErrorLogParams = LogParams & { err: Error }
type WarnLogParams = LogParams & { err?: Error }
class MyLogger implements Logger {
trace({ module, message, args }: LogParams) {
// ...
}
debug({ module, message, args }: LogParams) {
// ...
}
info({ module, message, args }: LogParams) {
// ...... | {"source_file": "js.md"} | [
-0.04828804358839989,
0.08048208802938461,
0.013277297839522362,
0.0871889665722847,
0.05118730664253235,
-0.08793766796588898,
0.07220016419887543,
0.06198836863040924,
0.012262452393770218,
-0.01678316481411457,
-0.005667325109243393,
-0.05728171765804291,
0.05251204967498779,
0.04302657... |
f1c6a73c-500a-4929-a964-10e20973f9c4 | If you are modifying
keep_alive.idle_socket_ttl
, keep in mind that it should be always in sync with your server/LB Keep-Alive configuration, and it should be
always lower
than that, ensuring that the server never closes the open connection first.
Adjusting
idle_socket_ttl
{#adjusting-idle_socket_ttl}
The clie... | {"source_file": "js.md"} | [
-0.04571603238582611,
-0.012119959108531475,
-0.07294996827840805,
0.001838333555497229,
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-0.023890245705842972,
0.016663238406181335,
-0.0440138503909111,
-0.022952310740947723,
-0.017013762146234512,
0.0487014539539814,
0.05319271981716156,
-0.009946360252797604,
-0.... |
450eccbf-037f-4ea3-b4ab-c9b633a1ab8c | If this error is happening during long-running queries with no data coming in or out (for example, a long-running
INSERT FROM SELECT
), this might be due to the load balancer closing idling connections. You could try forcing some data coming in during long-running queries by using a combination of these ClickHouse set... | {"source_file": "js.md"} | [
-0.09677746891975403,
0.03302308917045593,
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-0.07056894898414612,
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-0.013781765475869179,
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0.05855685845017433,
-0.0683203712105751,
-0.020124785602092743,
0.0010217877570539713,
-0.05... |
93c503a6-719a-42de-a60a-cf152464c563 | ts
const client = createClient({
url: 'http://proxy:8123',
pathname: '/clickhouse_server',
})
Reverse proxy with authentication {#reverse-proxy-with-authentication}
If you have a reverse proxy with authentication in front of your ClickHouse deployment, you could use the
http_headers
setting to provide the nec... | {"source_file": "js.md"} | [
-0.10225173830986023,
0.06723517924547195,
0.020979635417461395,
-0.01634645089507103,
-0.04521264135837555,
-0.07095961272716522,
0.008015839383006096,
0.010619619861245155,
-0.03560402989387512,
0.051869068294763565,
-0.05795442685484886,
-0.002195770386606455,
0.010759222321212292,
0.00... |
f39e9321-3f28-4925-beba-0caf1e6181d5 | Using a custom HTTPS Agent with mutual TLS:
ts
const agent = new https.Agent({
keepAlive: true,
keepAliveMsecs: 2500,
maxSockets: 10,
maxFreeSockets: 10,
ca: fs.readFileSync('./ca.crt'),
cert: fs.readFileSync('./client.crt'),
key: fs.readFileSync('./client.key'),
})
const client = createClient({
url: ... | {"source_file": "js.md"} | [
-0.0695154070854187,
0.07983392477035522,
-0.049099601805210114,
0.019751228392124176,
-0.06864987313747406,
-0.08032961189746857,
-0.019296087324619293,
0.021297261118888855,
0.02199491672217846,
-0.011804018169641495,
-0.038861632347106934,
-0.037637948989868164,
0.052262406796216965,
0.... |
cbc642fd-5948-425e-9f56-0cd756e217ef | slug: /integrations/data-ingestion-overview
keywords: [ 'Airbyte', 'Apache Spark', 'Spark', 'Azure Synapse', 'Amazon Glue', 'Apache Beam', 'dbt', 'Fivetran', 'NiFi', 'dlt', 'Vector' ]
title: 'Data Ingestion'
description: 'Landing page for the data ingestion section'
doc_type: 'landing-page'
Data Ingestion
ClickHo... | {"source_file": "data-ingestion-index.md"} | [
-0.005318247713148594,
-0.06356729567050934,
0.0023773156572133303,
0.006995394825935364,
0.0238010436296463,
-0.06890453398227692,
0.05795947089791298,
0.022376133129000664,
-0.08972638845443726,
-0.0062078675255179405,
0.054036132991313934,
0.014386375434696674,
0.01264156773686409,
-0.0... |
bbbca735-701d-40ed-8461-d10b257ec3bf | | Data Ingestion Tool | Description |
|------------------... | {"source_file": "data-ingestion-index.md"} | [
0.011886484920978546,
0.04966387152671814,
-0.029479146003723145,
0.037073150277137756,
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0.04149080812931061,
0.027711696922779083,
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-0.04252716526389122,
0.08605078607797623,
-0.05700475350022316,
-0.0018156113801524043,
-0... |
e88d72e3-e41f-4d26-ab8d-03d2df72dcd4 | |
dlt
| An open-source library that you can add to your Python scripts to load data from various and often messy data sources into well-structured, live datasets. |
|
Fivetran
| An automated data movement platfo... | {"source_file": "data-ingestion-index.md"} | [
-0.08924590051174164,
-0.016821015626192093,
-0.010356326587498188,
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0.029818030074238777,
-0.129262313246727,
0.014028347097337246,
0.026858055964112282,
-0.031927689909935,
-0.001965127419680357,
-0.02161920815706253,
0.024192241951823235,
0.0001424276124453172,
-0.... |
f5916956-9bac-45a1-a1ab-61c504c18667 | slug: /integrations/data-sources/index
keywords: ['AWS S3', 'Azure Data Factory', 'PostgreSQL', 'Kafka', 'MySQL', 'Cassandra', 'Data Factory', 'Redis', 'RabbitMQ', 'MongoDB', 'Google Cloud Storage', 'Hive', 'Hudi', 'Iceberg', 'MinIO', 'Delta Lake', 'RocksDB', 'Splunk', 'SQLite', 'NATS', 'EMQX', 'local files', 'JDBC', '... | {"source_file": "data-sources-index.md"} | [
-0.010631483979523182,
-0.05517193675041199,
-0.06418658047914505,
0.02861294522881508,
0.0026200341526418924,
-0.023792577907443047,
0.012446164153516293,
-0.03597642481327057,
-0.031542643904685974,
0.09060545265674591,
0.028627410531044006,
-0.03150738403201103,
0.06113692745566368,
-0.... |
85686242-2177-4709-988b-29e661474b97 | sidebar_label: 'Insert Local Files'
sidebar_position: 2
title: 'Insert Local Files'
slug: /integrations/data-ingestion/insert-local-files
description: 'Learn about Insert Local Files'
show_related_blogs: true
doc_type: 'guide'
keywords: ['insert local files ClickHouse', 'ClickHouse local file import', 'clickhouse-clien... | {"source_file": "insert-local-files.md"} | [
-0.010155579075217247,
-0.014679995365440845,
-0.08741672337055206,
0.03359296917915344,
-0.04009143263101578,
0.005557768512517214,
0.014844560995697975,
0.028058648109436035,
-0.05655882880091667,
0.04629369452595711,
0.022023823112249374,
0.005717489868402481,
0.07829835265874863,
-0.00... |
fcefd88e-5952-40f0-8636-7980ef5880b1 | text
id type author timestamp comment children
19464423 comment adrianmonk 2019-03-22 16:58:19 "It's an apples and oranges comparison in the first place. There are security expenses related to prison populations. You need staff, facilities, equipment, etc. to manage prisoners behavio... | {"source_file": "insert-local-files.md"} | [
-0.0408298596739769,
0.09876026213169098,
-0.012964874505996704,
0.0024489215575158596,
0.08101672679185867,
0.04923044517636299,
0.1261948049068451,
-0.01819203794002533,
0.11099233478307724,
0.026044564321637154,
0.03665721416473389,
0.04041087254881859,
0.06968071311712265,
0.0378534533... |
8e34f142-3ce7-4d9c-9728-5ba807b3de5a | 19465288 comment derefr 2019-03-22 18:15:21 "Because we're talking about the backend-deployment+ops-jargon terms "website" and "webapp", not their general usage. Words can have precise jargon meanings <i>which are different</i> in different disciplines. This is where ops people tend... | {"source_file": "insert-local-files.md"} | [
-0.023290909826755524,
-0.09545779973268509,
0.006970417685806751,
-0.06738784909248352,
0.0024025144521147013,
-0.05651482567191124,
0.020506469532847404,
0.015868820250034332,
-0.020391112193465233,
0.034928686916828156,
0.09091529250144958,
-0.027333635836839676,
0.09380538016557693,
-0... |
d59fbf78-f104-4cd9-a9e6-9d91304ebe24 | which does not do any app things. If we decide that "app things" are basically "storing state", then a "site" is an "app" with no persistent state.<p>And since the definition of "web" here is about a backend, then the difference between a "web app" and a "... | {"source_file": "insert-local-files.md"} | [
-0.06852640211582184,
-0.014697141014039516,
-0.03198473900556564,
-0.022865355014801025,
-0.005589688196778297,
-0.08970757573843002,
0.029101580381393433,
-0.030681421980261803,
0.03580842167139053,
0.028438139706850052,
0.05991750210523605,
-0.04227611795067787,
0.03920592740178108,
0.0... |
4d7ab403-84cc-4942-92f9-63058d835687 | 19465534 comment bduerst 2019-03-22 18:36:40 "Apple included: <a href=""https://www.theguardian.com/commentisfree/2018/mar/04/apple-users-icloud-services-personal-data-china-cybersecurity-law-privacy"" rel=""nofollow"">https://www.theguardian.com/commentisfre... | {"source_file": "insert-local-files.md"} | [
-0.0035478125791996717,
0.014424349181354046,
-0.023100461810827255,
-0.023316139355301857,
0.05538901686668396,
-0.0787869468331337,
0.06153327226638794,
-0.06041272357106209,
0.11126997321844101,
0.004975851625204086,
0.10784514248371124,
0.0321582593023777,
0.05212327092885971,
-0.00164... |
b9ccb961-4233-4c33-9d51-6dc617a3fe31 | 19467048 comment karambahh 2019-03-22 21:15:41 "I think you're comparing apples to oranges here.<p>If you reclaim a parking space for another use (such as building accommodation for families or an animal shelter), you're not depriving the car of anything, it's an expensive, large piece o... | {"source_file": "insert-local-files.md"} | [
0.03382588177919388,
0.15004569292068481,
0.07874739915132523,
0.02433553710579872,
0.10082632303237915,
0.010496074333786964,
0.09713920950889587,
0.021272914484143257,
0.03257478401064873,
0.02904323861002922,
0.07089383900165558,
0.04134455323219299,
0.04329049959778786,
0.0518235862255... |
3403a3c1-e8a5-41e3-8f94-8067ade1c548 | Let's create the table for our Hacker News data:
sql
CREATE TABLE hackernews (
id UInt32,
type String,
author String,
timestamp DateTime,
comment String,
children Array(UInt32),
tokens Array(String)
)
ENGINE = MergeTree
ORDER BY toYYYYMMDD(timestamp)
We want to lowercase the
author
... | {"source_file": "insert-local-files.md"} | [
-0.008899683132767677,
0.05141979828476906,
0.02374255657196045,
0.048275966197252274,
-0.0306599922478199,
-0.023912448436021805,
0.05198945477604866,
0.030988359823822975,
0.02656538225710392,
0.09731581807136536,
-0.008648348040878773,
-0.019098613411188126,
0.11854541301727295,
-0.0720... |
5cea0fdd-d575-41fe-b8c8-eaa738c07451 | │ 488 │ comment │ mynameishere │ 2007-02-22 14:48:18 │ "It's too bad. Javascript-in-the-browser and Ajax are both nasty hacks that force programmers to do all sorts of shameful things. And the result is--wanky html tricks. Java, for its faults, is fairly clean when run in the applet environment. It has every superiori... | {"source_file": "insert-local-files.md"} | [
-0.09079191088676453,
-0.019969159737229347,
0.10498549789190292,
-0.06712702661752701,
0.010371091775596142,
-0.05360773578286171,
0.0537247434258461,
0.0772949829697609,
0.03763642907142639,
-0.053928837180137634,
-0.03316597267985344,
0.013928757049143314,
0.0008770833374001086,
-0.0132... |
8917143a-ec1a-4023-944d-c4a7ee12ca64 | Surely it will at least be that Apollo applications will run untrusted by default, and that an already-installed app will start automatically whenever you take your browser to the URL you downloaded it from?" │ [455071] │ ['I','can','t','find','the','reference','now','but','I','think','I','ve','just','read','something'... | {"source_file": "insert-local-files.md"} | [
-0.045687638223171234,
-0.07982313632965088,
0.04130183532834053,
-0.05495341867208481,
0.024024317041039467,
-0.12220220267772675,
0.0172224473208189,
0.0329660028219223,
-0.006047533359378576,
-0.01991763710975647,
0.022285878658294678,
-0.005518204532563686,
-0.005740081425756216,
0.056... |
30c7a6e7-1d66-49c4-aaca-c1474e20938c | I really think that the 'common' bits in a space like that have to be either free or open source (think about browsers, html, JavaScript, java applets, etc...), and that that's not where the money is." │ [3147] │ ['I','m','very','curious','about','this','tsumobi','thing','as','it','s','basically','exactly','what','He... | {"source_file": "insert-local-files.md"} | [
-0.03975595533847809,
-0.03776491805911064,
-0.04924575984477997,
0.04102173447608948,
-0.024258675053715706,
-0.11570693552494049,
0.0603116936981678,
0.010810859501361847,
0.03506340831518173,
0.030372818931937218,
0.02497233636677265,
-0.017667649313807487,
0.09015516191720963,
-0.01749... |
54247c02-240d-417b-9b51-b5dadc8d2225 | │ 4568 │ comment │ jwecker │ 2007-03-16 13:08:04 │ I know the feeling. The same feeling I had back when people were still writing java applets. Maybe a normal user doesn't feel it- maybe it's the programmer in us knowing that there's a big layer running between me and the browser... │ [] │ ... | {"source_file": "insert-local-files.md"} | [
-0.025673309341073036,
-0.032814871519804,
0.04916276037693024,
0.04440838843584061,
0.04551377519965172,
-0.059931956231594086,
0.10738983005285263,
0.016093282029032707,
-0.011465559713542461,
-0.0402778759598732,
0.05393700301647186,
-0.02120337262749672,
0.06951141357421875,
-0.0203080... |
b42b2f20-4a76-4b09-9f19-b4994cfa6719 | ```
Another option is to use a tool like
cat
to stream the file to
clickhouse-client
. For example, the following command has the same result as using the
<
operator:
bash
cat comments.tsv | clickhouse-client \
--host avw5r4qs3y.us-east-2.aws.clickhouse.cloud \
--secure \
--port 9440 \
--pa... | {"source_file": "insert-local-files.md"} | [
-0.0016134486068040133,
0.009917333722114563,
-0.09940942376852036,
0.03779660537838936,
0.00871418695896864,
-0.0298928190022707,
0.03971703350543976,
-0.01942257583141327,
0.02102988213300705,
0.06933331489562988,
-0.016595661640167236,
-0.0006189659470692277,
0.1056642085313797,
-0.0216... |
cf6d7e13-360c-41b5-947a-02ab7452f13d | sidebar_label: 'MinIO'
sidebar_position: 6
slug: /integrations/minio
description: 'Page describing how to use MinIO with ClickHouse'
title: 'Using MinIO'
doc_type: 'guide'
integration:
- support_level: 'core'
- category: 'data_ingestion'
keywords: ['s3', 'minio', 'object storage', 'data loading', 'compatible storag... | {"source_file": "s3-minio.md"} | [
0.025983816012740135,
-0.016441188752651215,
-0.09399858117103577,
0.00264402711763978,
0.028549330309033394,
0.0005103336879983544,
-0.08164997398853302,
0.0802047848701477,
-0.09622548520565033,
0.05609990656375885,
0.08073026686906815,
0.02608628384768963,
0.0706949457526207,
-0.0553108... |
e9658eef-2b69-463b-ba3f-63716cc706c1 | slug: /integrations/postgresql
sidebar_label: 'PostgreSQL'
title: 'PostgreSQL'
show_title: false
description: 'Page describing how to integrate Postgres with ClickHouse'
doc_type: 'guide'
integration:
- support_level: 'core'
- category: 'data_ingestion'
keywords: ['postgresql', 'database integration', 'external tab... | {"source_file": "postgres.md"} | [
0.00751405069604516,
-0.06496170163154602,
-0.06601434201002121,
0.013449967838823795,
-0.09945152699947357,
-0.01594202034175396,
0.01592773012816906,
0.006581350229680538,
-0.09031911194324493,
-0.03727808967232704,
-0.0006964946514926851,
-0.0022884102072566748,
0.019771013408899307,
-0... |
9de162ce-5be2-4a22-85ff-733b93fd8f3d | slug: /integrations/mysql
sidebar_label: 'MySQL'
title: 'MySQL'
hide_title: true
description: 'Page describing MySQL integration'
doc_type: 'reference'
integration:
- support_level: 'core'
- category: 'data_ingestion'
- website: 'https://github.com/ClickHouse/clickhouse'
keywords: ['mysql', 'database integration'... | {"source_file": "mysql.md"} | [
0.015982460230588913,
0.02542748488485813,
-0.021854674443602562,
0.06296960264444351,
0.001914255553856492,
-0.03344954922795296,
0.05318087339401245,
0.019360879436135292,
-0.03153003752231598,
-0.00034849540679715574,
0.030126383528113365,
-0.06721995770931244,
0.17456822097301483,
-0.0... |
974a9209-634c-4b50-9079-4d0fb7eeb2b2 | :::note
View the
MySQL table engine
doc page for a complete list of parameters.
:::
3. Test the Integration {#3-test-the-integration}
In MySQL, insert a sample row:
sql
INSERT INTO db1.table1
(id, column1)
VALUES
(4, 'jkl');
Notice the existing rows from the MySQL table are in the ClickHo... | {"source_file": "mysql.md"} | [
-0.012264256365597248,
-0.054710421711206436,
-0.05811560899019241,
0.03073018230497837,
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2bd4d341-a2b4-49b0-81c3-c99a2431dfb3 | slug: /integrations/cassandra
sidebar_label: 'Cassandra'
title: 'Cassandra'
description: 'Page describing how users can integrate with Cassandra via a dictionary.'
keywords: ['cassandra', 'integration', 'dictionary']
doc_type: 'reference'
Cassandra integration
Users can integrate with Cassandra via a dictionary. ... | {"source_file": "cassandra.md"} | [
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c2a88c49-ccb7-423b-a9e2-3b2b70babfe2 | slug: /integrations/tools/data-integrations
keywords: ['Retool', 'Easypanel', 'Splunk']
title: 'Data Integrations'
description: 'Landing page for the data integrations section'
doc_type: 'landing-page'
Data Integrations
| Page | Description ... | {"source_file": "index.md"} | [
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303a5cb4-c939-426a-9c9a-cc2ea094a1d5 | sidebar_label: 'Easypanel'
slug: /integrations/easypanel
keywords: ['clickhouse', 'Easypanel', 'deployment', 'integrate', 'install']
description: 'You can use it to deploy ClickHouse on your own server.'
title: 'Deploying ClickHouse on Easypanel'
doc_type: 'guide'
import CommunityMaintainedBadge from '@theme/badges... | {"source_file": "index.md"} | [
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f12c733f-bf03-4827-be60-23c18f47f0e8 | sidebar_label: 'Splunk'
slug: /integrations/audit-splunk
keywords: ['clickhouse', 'Splunk', 'audit', 'cloud']
description: 'Store ClickHouse Cloud audit logs into Splunk.'
title: 'Storing ClickHouse Cloud Audit logs into Splunk'
doc_type: 'guide'
import Image from '@theme/IdealImage';
import splunk_001 from '@site/... | {"source_file": "index.md"} | [
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6d56b20d-c99b-4eb2-9e18-69f179bb095b | Then, navigate to API Keys from the left-end menu.
Create an API Key, give a meaningful name and select
Admin
privileges. Click on Generate API Key.
Save the API Key and secret in a safe place.
Configure data input in Splunk {#configure-data-input-in-splunk}
Back in Splunk, navigate to Settings -> Data ... | {"source_file": "index.md"} | [
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3fbde544-a95e-4428-8a5a-5d6f628e3f09 | sidebar_label: 'Retool'
slug: /integrations/retool
keywords: ['clickhouse', 'retool', 'connect', 'integrate', 'ui', 'admin', 'panel', 'dashboard', 'nocode', 'no-code']
description: 'Quickly build web and mobile apps with rich user interfaces, automate complex tasks, and integrate AI—all powered by your data.'
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5cc32421-f105-4d4a-bb68-d1fa9d261c38 | sidebar_label: 'Explo'
sidebar_position: 131
slug: /integrations/explo
keywords: ['clickhouse', 'Explo', 'connect', 'integrate', 'ui']
description: 'Explo is an easy-to-use, open source UI tool for asking questions about your data.'
title: 'Connecting Explo to ClickHouse'
doc_type: 'guide'
integration:
- support_leve... | {"source_file": "explo-and-clickhouse.md"} | [
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be64ee2d-90ad-43a2-a88d-6c4acab90938 | Fill out the information on the
Getting Started
page
Select
Clickhouse
Enter your
Clickhouse Credentials
.
Configure
Security
Within Clickhouse,
Whitelist the Explo IPs
.
54.211.43.19, 52.55.98.121, 3.214.169.94, and 54.156.141.148
3. Create a Dashboard {#3-create-a-dashboard}... | {"source_file": "explo-and-clickhouse.md"} | [
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59a274e2-015b-4caa-9942-f04dbcf4f99f | sidebar_label: 'Deepnote'
sidebar_position: 11
slug: /integrations/deepnote
keywords: ['clickhouse', 'Deepnote', 'connect', 'integrate', 'notebook']
description: 'Efficiently query very large datasets, analyzing and modeling in the comfort of known notebook environment.'
title: 'Connect ClickHouse to Deepnote'
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0bc7e545-01b5-445f-aaf1-8cc9a5ffcc22 | title: 'Connecting Chartbrew to ClickHouse'
sidebar_label: 'Chartbrew'
sidebar_position: 131
slug: /integrations/chartbrew-and-clickhouse
keywords: ['ClickHouse', 'Chartbrew', 'connect', 'integrate', 'visualization']
description: 'Connect Chartbrew to ClickHouse to create real-time dashboards and client reports.'
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9effed4a-b280-42ea-801e-21037810dd8b | 3. Create a dataset and run a SQL query {#3-create-a-dataset-and-run-a-sql-query}
Click on the
Create dataset
button or navigate to the
Datasets
tab to create one.
Select the ClickHouse connection you created earlier.
Write a SQL query to retrieve the data you want to visualize. For example, this query ... | {"source_file": "chartbrew-and-clickhouse.md"} | [
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18cca2c9-db14-4087-bd7b-d9ae43702231 | sidebar_label: 'Dot'
slug: /integrations/dot
keywords: ['clickhouse', 'dot', 'ai', 'chatbot', 'mysql', 'integrate', 'ui', 'virtual assistant']
description: 'AI Chatbot | Dot is an intelligent virtual data assistant that answers business data questions, retrieves definitions and relevant data assets, and can even assist... | {"source_file": "dot-and-clickhouse.md"} | [
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48ff2414-5a69-4ee2-afb4-725986d54f87 | sidebar_label: 'Zing Data'
sidebar_position: 206
slug: /integrations/zingdata
keywords: ['Zing Data']
description: 'Zing Data is simple social business intelligence for ClickHouse, made for iOS, Android and the web.'
title: 'Connect Zing Data to ClickHouse'
show_related_blogs: true
doc_type: 'guide'
import Connecti... | {"source_file": "zingdata-and-clickhouse.md"} | [
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1411d4cd-4c57-4c03-8da1-4a4f0352808e | After your Clickhouse datasource is added, click on
Zing App
on the web, or click on the datasource on mobile to start creating charts.
Click on a table under the table's list to create a chart.
Use the visual query builder to pick the desired fields, aggregations, etc., and click on
Run Question
.
... | {"source_file": "zingdata-and-clickhouse.md"} | [
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fa273963-158a-48eb-9ad0-9e224217302a | sidebar_label: 'Draxlr'
sidebar_position: 131
slug: /integrations/draxlr
keywords: ['clickhouse', 'Draxlr', 'connect', 'integrate', 'ui']
description: 'Draxlr is a Business intelligence tool with data visualization and analytics.'
title: 'Connecting Draxlr to ClickHouse'
doc_type: 'guide'
integration:
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22477efe-49ee-4209-b6c4-c1062bf4a01b | You can also use
Add to dashboard
option to add the result to dashboard.
Click on the
Save
button to save the query.
5. Building dashboards {#5-building-dashboards}
Click on the
Dashboards
button on the navbar.
You can add a new dashboard by clicking on the
Add +
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95585650-8d34-4c90-8b68-6369fab33dea | sidebar_label: 'Luzmo'
slug: /integrations/luzmo
keywords: ['clickhouse', 'Luzmo', 'connect', 'integrate', 'ui', 'embedded']
description: 'Luzmo is an embedded analytics platform with a native ClickHouse integration, purpose-built for Software and SaaS applications.'
title: 'Integrating Luzmo with ClickHouse'
sidebar: ... | {"source_file": "luzmo-and-clickhouse.md"} | [
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06427c1b-15e5-4318-ab87-6d075a6a5e68 | Usage notes {#usage-notes}
The Luzmo ClickHouse connector uses the HTTP API interface (typically running on port 8123) to connect.
If you use tables with the
Distributed
table engine some Luzmo-charts might fail when
distributed_product_mode
is
deny
. This should only occur, however, if you link the table to... | {"source_file": "luzmo-and-clickhouse.md"} | [
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75f82f7d-484b-4cb3-a9e2-9bb50798447b | sidebar_label: 'Astrato'
sidebar_position: 131
slug: /integrations/astrato
keywords: ['clickhouse', 'Power BI', 'connect', 'integrate', 'ui', 'data apps', 'data viz', 'embedded analytics', 'Astrato']
description: 'Astrato brings true Self-Service BI to Enterprises & Data Businesses by putting analytics in the hands of ... | {"source_file": "astrato-and-clickhouse.md"} | [
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d6869aa7-5748-447a-b5fb-e0752af5893e | When setting up your data connection, you'll need to know:
Data connection: Hostname, Port
Database Credentials: Username, Password
Creating the data connection to ClickHouse {#creating-the-data-connection-to-clickhouse}
Select
Data
in the sidebar, and select the
Data Connection
tab
(or, nav... | {"source_file": "astrato-and-clickhouse.md"} | [
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89b0ff86-c7d3-47fc-8583-1ecc2161dfaf | sidebar_label: 'Hashboard'
sidebar_position: 132
slug: /integrations/hashboard
keywords: ['clickhouse', 'Hashboard', 'connect', 'integrate', 'ui', 'analytics']
description: 'Hashboard is a robust analytics platform that can be easily integrated with ClickHouse for real-time data analysis.'
title: 'Connecting ClickHouse... | {"source_file": "hashboard-and-clickhouse.md"} | [
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e1d5a150-39ff-469a-bb9c-4b3f1b798b53 | sidebar_label: 'Rocket BI'
sidebar_position: 131
slug: /integrations/rocketbi
keywords: ['clickhouse', 'RocketBI', 'connect', 'integrate', 'ui']
description: 'RocketBI is a self-service business intelligence platform that helps you quickly analyze data, build drag-n-drop visualizations and collaborate with colleagues r... | {"source_file": "rocketbi-and-clickhouse.md"} | [
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5c94169f-040c-450c-9dc9-fd01e35c436a | Edit .clickhouse.env, add clickhouse server information.
Start RocketBI by run command:
docker-compose up -d .
Open browser, go to
localhost:5050
, login with this account:
hello@gmail.com/123456
To build from source or advanced configuration you could check it here
Rocket.BI Readme
Let's build the dashboar... | {"source_file": "rocketbi-and-clickhouse.md"} | [
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1e5e6fc5-f51f-4b58-a62c-31bdecf76c3f | sidebar_label: 'Mitzu'
slug: /integrations/mitzu
keywords: ['clickhouse', 'Mitzu', 'connect', 'integrate', 'ui']
description: 'Mitzu is a no-code warehouse-native product analytics application.'
title: 'Connecting Mitzu to ClickHouse'
doc_type: 'guide'
integration:
- support_level: 'partner'
- category: 'data_visua... | {"source_file": "mitzu-and-clickhouse.md"} | [
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199af86f-5747-48a2-bb9c-9dba872ffca1 | 4. Connect Mitzu to ClickHouse {#4-connect-mitzu-to-clickhouse}
First, select ClickHouse as the connection type and set the connection details. Then, click the
Test connection & Save
button to save the settings.
5. Configure event tables {#5-configure-event-tables}
Once the connection is saved, select the
Ev... | {"source_file": "mitzu-and-clickhouse.md"} | [
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fe8713e7-4648-42a0-9ab5-126690a94d27 | :::tip Break down steps
You can select a property for the segment
Break down
to distinguish users within the same step.
:::
8. Run revenue queries {#8-run-revenue-queries}
If revenue settings are configured, Mitzu can calculate the total MRR and subscription count based on your payment events.
9. SQL native... | {"source_file": "mitzu-and-clickhouse.md"} | [
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0.04289090633392334,
0.06804285198450089,
-0.06443889439105988,
-0.012373660691082478,
0.0186847485601902,
-0.06081525608897209,
0.04804699495434761,
-0.01... |
773f3665-76dd-4bd0-b8b6-e661775c9260 | sidebar_label: 'Fabi.ai'
slug: /integrations/fabi.ai
keywords: ['clickhouse', 'Fabi.ai', 'connect', 'integrate', 'notebook', 'ui', 'analytics']
description: 'Fabi.ai is an all-in-one collaborate data analysis platform. You can leverage SQL, Python, AI, and no-code to build dashboard and data workflows faster than ever ... | {"source_file": "fabi-and-clickhouse.md"} | [
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0.09874233603477478,
-0.... |
3f557eda-5101-4447-a958-41216c1fd691 | sidebar_label: 'Embeddable'
slug: /integrations/embeddable
keywords: ['clickhouse', 'Embeddable', 'connect', 'integrate', 'ui']
description: 'Embeddable is a developer toolkit for building fast, interactive, fully-custom analytics experiences directly into your app.'
title: 'Connecting Embeddable to ClickHouse'
doc_typ... | {"source_file": "embeddable-and-clickhouse.md"} | [
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0.011895... |
c56439c8-2f73-4176-a2bf-c0f3d3fa2172 | Here you'll want to use
clickhouse
, but you can connect multiple different data sources to one Embeddable workspace so you may use others such as:
postgres
,
bigquery
,
mongodb
, etc.
The
credentials
is a JavaScript object containing the necessary credentials expected by the driver
- These are securely encry... | {"source_file": "embeddable-and-clickhouse.md"} | [
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... |
fc6ffe5c-ac49-441a-a773-ed76fc36c13e | sidebar_label: 'Databrain'
sidebar_position: 131
slug: /integrations/databrain
keywords: ['clickhouse', 'Databrain', 'connect', 'integrate', 'ui', 'analytics', 'embedded', 'dashboard', 'visualization']
description: 'Databrain is an embedded analytics platform that integrates seamlessly with ClickHouse for building cust... | {"source_file": "databrain-and-clickhouse.md"} | [
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-0.0... |
8c85af0e-f0d7-4e1e-a5c5-c7f64df27b7d | Click
Add a Data Source
or
Connect Data Source
.
Select
ClickHouse
from the list of available connectors.
Fill in the connection details:
Destination Name
: Enter a descriptive name for this connection (e.g., "Production ClickHouse" or "Analytics DB")
Host
: Enter your ClickHouse host URL (e.g.... | {"source_file": "databrain-and-clickhouse.md"} | [
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0.037494461983442307,
-0.02422... |
23fa3a41-98d6-4bc9-9f8e-f3abe26b8ee4 | AI-powered Insights
: Use AI to generate summaries and insights from your data
Embedded Analytics
: Embed dashboards and metrics directly into your applications
Semantic Layer
: Create reusable data models and business logic
Troubleshooting {#troubleshooting}
Connection fails {#connection-fails}
If you're u... | {"source_file": "databrain-and-clickhouse.md"} | [
-0.02675817906856537,
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0.02747441828250885,
0... |
922b1c2f-ac7b-44d3-be7a-fab0272b90a3 | sidebar_label: 'Tableau Desktop'
sidebar_position: 1
slug: /integrations/tableau
keywords: ['clickhouse', 'tableau', 'connect', 'integrate', 'ui']
description: 'Tableau can use ClickHouse databases and tables as a data source.'
title: 'Connecting Tableau to ClickHouse'
doc_type: 'guide'
integration:
- support_level: ... | {"source_file": "tableau-and-clickhouse.md"} | [
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-0.06... |
a427d06c-e587-4921-b582-5b78de663e48 | macOS:
~/Library/Tableau/Drivers
Windows:
C:\Program Files\Tableau\Drivers
Configure a ClickHouse data source in Tableau and start building data visualizations!
Configure a ClickHouse data source in Tableau {#configure-a-clickhouse-data-source-in-tableau}
Now that you have the
clickhouse-jdbc
driver i... | {"source_file": "tableau-and-clickhouse.md"} | [
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0... |
62c90119-49c5-43ac-876e-8f063a9e9285 | Drag the
ORDERS
table into the workbook, then set
Custkey
as the relationship field between the two tables:
You now have the
ORDERS
and
LINEITEM
tables associated with each other as your data source, so you can use
this relationship to answer questions about the data. Select the
Sheet 1
tab at ... | {"source_file": "tableau-and-clickhouse.md"} | [
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0.005789966322481632,
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0.10963612794876099,
-0.1... |
5018425e-0971-4d54-bcc3-3e2c426ecd81 | sidebar_label: 'Connection Tips'
sidebar_position: 3
slug: /integrations/tableau/connection-tips
keywords: ['clickhouse', 'tableau', 'online', 'mysql', 'connect', 'integrate', 'ui']
description: 'Tableau connection tips when using ClickHouse official connector.'
title: 'Connection tips'
doc_type: 'guide'
import Ima... | {"source_file": "tableau-connection-tips.md"} | [
-0.00014281267067417502,
-0.03965097293257713,
-0.0993356928229332,
0.040685515850782394,
-0.07662276923656464,
0.036439552903175354,
0.11064326018095016,
0.021122531965374947,
-0.0787278413772583,
-0.003909754566848278,
0.03902237117290497,
0.011225054040551186,
0.07793265581130981,
-0.00... |
f3ba65dc-9d87-459a-8e17-1ae11ed079b8 | In order to work with large Integer fields as with strings, it is necessary to explicitly wrap the field in the STR() function
text
LEFT(STR([myUInt256]), 2) // Works well!
However, such fields are most often used to find the number of unique values
(IDs as Watch ID, Visit ID in Yandex.Metrica)
or as a
Dimension... | {"source_file": "tableau-connection-tips.md"} | [
0.06435075402259827,
0.018779654055833817,
-0.040308691561222076,
0.02601942978799343,
-0.0829453095793724,
0.02981153316795826,
0.0157666876912117,
-0.013268079608678818,
0.04178312420845032,
-0.0602981336414814,
0.046998005360364914,
-0.02249942719936371,
-0.0023548698518425226,
-0.02217... |
9701f101-23ae-4fb1-ac6a-c318d047d862 | sidebar_label: 'Tableau Online'
sidebar_position: 2
slug: /integrations/tableau-online
keywords: ['clickhouse', 'tableau', 'online', 'mysql', 'connect', 'integrate', 'ui']
description: 'Tableau Online streamlines the power of data to make people faster and more confident decision makers from anywhere.'
title: 'Tableau ... | {"source_file": "tableau-online-and-clickhouse.md"} | [
0.019946379587054253,
0.014070038683712482,
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0.022676562890410423,
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0.019429562613368034,
0.04449279606342316,
-0.03018955886363983,
0.1745745986700058,
-0.06... |
158a7777-8f36-460b-9250-1872834d2a42 | Connecting Tableau Online to ClickHouse (cloud or on-premise setup with SSL) {#connecting-tableau-online-to-clickhouse-cloud-or-on-premise-setup-with-ssl}
As it is not possible to provide the SSL certificates via the Tableau Online MySQL connection setup wizard,
the only way is to use Tableau Desktop to set the conn... | {"source_file": "tableau-online-and-clickhouse.md"} | [
0.02363979071378708,
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... |
8debe0ca-bb63-43af-8661-33c3ce6d691d | sidebar_label: 'Analysis Tips'
sidebar_position: 4
slug: /integrations/tableau/analysis-tips
keywords: ['clickhouse', 'tableau', 'online', 'mysql', 'connect', 'integrate', 'ui']
description: 'Tableau analysis tips when using ClickHouse official connector.'
title: 'Analysis tips'
doc_type: 'guide'
Analysis tips
ME... | {"source_file": "tableau-analysis-tips.md"} | [
-0.012802265584468842,
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0.07936766743659973,
-0... |
9924d434-4232-41df-8c24-cdf1a12d6b09 | -
FORMAT_READABLE_QUANTITY([my_integer])
(added in v0.2.1)
— Returns a rounded number with a suffix (thousand, million, billion, etc.) as a string. It is useful for reading big numbers by human. Equivalent of
formatReadableQuantity()
.
-
FORMAT_READABLE_TIMEDELTA([my_integer_timedelta_sec], [optional_max_unit])
... | {"source_file": "tableau-analysis-tips.md"} | [
0.05034058913588524,
0.06155753508210182,
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0.007088568061590195,
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-0.07668008655309677,
-0.010403686203062534,
0.00... |
bd765157-f114-4294-9ebf-15df27abbaf6 | text
PROPER("darcy-mae") => "Darcy-Mae"
-
RAND()
(added in v0.2.1)
— returns integer (UInt32) number, for example
3446222955
. Equivalent of
rand()
.
-
RANDOM()
(added in v0.2.1)
— unofficial
RANDOM()
Tableau function, which returns float between 0 and 1.
-
RAND_CONSTANT([optional_field])
(added in ... | {"source_file": "tableau-analysis-tips.md"} | [
-0.004184613935649395,
0.014679627493023872,
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0.024863487109541893,
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0.0024387065786868334,
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0.012525447644293308,
-0.040272943675518036,
0.0681343823671341,
-0.08... |
488e1ec8-3091-44a2-a615-f8065dfe53c4 | sidebar_label: 'Plugin Configuration'
sidebar_position: 3
slug: /integrations/grafana/config
description: 'Configuration options for the ClickHouse data source plugin in Grafana'
title: 'Configuring ClickHouse data source in Grafana'
doc_type: 'guide'
keywords: ['Grafana plugin configuration', 'data source settings', '... | {"source_file": "config.md"} | [
-0.06913182139396667,
0.0281110517680645,
-0.10449106246232986,
0.0019018627936020494,
-0.05486759915947914,
-0.030993754044175148,
-0.007946702651679516,
0.03092573769390583,
-0.11005964130163193,
0.02342480793595314,
0.056018710136413574,
-0.03956438601016998,
0.03496408089995384,
-0.028... |
1d0f724f-f9f2-4fef-b55a-72c95506c64d | tlsCACert:
# TLS CA certificate
tlsClientCert:
# TLS client certificate
tlsClientKey:
# TLS client key
```
Note that a
version
property is added when the configuration is saved from the UI. This shows the version of the plugin that the config was saved with.
HTTP protocol {#http-protocol}
More se... | {"source_file": "config.md"} | [
-0.06241718307137489,
0.12165635824203491,
-0.04561255872249603,
-0.004638270940631628,
-0.05574510991573334,
-0.03065362200140953,
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0.041283633559942245,
0.008485480211675167,
0.013263789005577564,
-0.06194834038615227,
0.0338975191116333,
0.0... |
4610b532-33db-4b0e-a0af-fc5d37d31129 | While OpenTelemetry isn't required for logs, using a single logs/trace dataset helps to enable a smoother observability workflow with
data linking
.
Example logs configuration screen:
Example logs config YAML:
```yaml
jsonData:
logs:
defaultDatabase: default # default log database.
defaultTable: otel_lo... | {"source_file": "config.md"} | [
0.017034929245710373,
-0.027114607393741608,
0.047305651009082794,
0.03712264448404312,
-0.01942446455359459,
-0.12279042601585388,
-0.058796778321266174,
0.0027406313456594944,
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0.0013867629459127784,
0.03388729691505432,
-0.06370127201080322,
-0.033815398812294006,
... |
e2016891-941e-4e4a-866c-cb3557e90ced | ```
Column aliases {#column-aliases}
Column aliasing is a convenient way to query your data under different names and types.
With aliasing, you can take a nested schema and flatten it so it can be easily selected in Grafana.
Aliasing may be relevant to you if:
- You know your schema and most of its nested propert... | {"source_file": "config.md"} | [
-0.10118713229894638,
-0.0447017066180706,
-0.07453347742557526,
0.03278656676411629,
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0.054583389312028885,
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0.03935474902391434,
0.014939865097403526,
-0.07065804302692413,
0.008308283984661102,
-0.00... |
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