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44 Commits

Author SHA1 Message Date
Kseniia Sumarokova
2ff295f5f6
Merge 4abbf29a86 into e0f8b8d351 2024-11-21 09:36:01 +03:00
Yakov Olkhovskiy
e0f8b8d351
Merge pull request #70458 from ClickHouse/fix-ephemeral-comment
Fix ephemeral column comment
2024-11-21 05:10:11 +00:00
Alexey Milovidov
da2176d696
Merge pull request #72081 from ClickHouse/add-dashboard-selector
Add advanced dashboard selector
2024-11-21 05:06:51 +00:00
Alexey Milovidov
53e0036593
Merge pull request #72176 from ClickHouse/change-ldf-major-versions
Get rid of `major` tags in official docker images
2024-11-21 05:05:41 +00:00
Alexey Milovidov
25bd73ea5e
Merge pull request #72023 from ClickHouse/fix-bind
Fix comments
2024-11-21 05:03:24 +00:00
Yakov Olkhovskiy
72d5af29e0 Merge branch 'master' into fix-ephemeral-comment 2024-11-20 22:01:54 +00:00
Mikhail Artemenko
44b4bd38b9
Merge pull request #72045 from ClickHouse/issues/70174/cluster_versions
Enable cluster table functions for DataLake Storages
2024-11-20 21:22:37 +00:00
kssenii
4abbf29a86 Fix style check 2024-11-20 18:59:47 +01:00
kssenii
fd5023e2a6 Add comments 2024-11-20 17:32:46 +01:00
Mikhail f. Shiryaev
9a2a664b04
Get rid of major tags in official docker images 2024-11-20 16:36:50 +01:00
Mikhail Artemenko
4ccebd9a24 fix syntax for iceberg in docs 2024-11-20 11:15:39 +00:00
Mikhail Artemenko
99177c0daf remove icebergCluster alias 2024-11-20 11:15:12 +00:00
kssenii
599d977d42 Update token lazily 2024-11-19 19:16:53 +01:00
kssenii
9152fc9c67 Merge remote-tracking branch 'origin/master' into rest-catalog 2024-11-19 17:58:45 +01:00
kssenii
7b4aabbb71 Support generating token on clickhouse server side 2024-11-19 17:56:55 +01:00
kssenii
b34dfca0c5 Speedup tables loading 2024-11-19 17:55:44 +01:00
serxa
ad67608956 Add advanced dashboard selector 2024-11-19 13:18:21 +00:00
Mikhail Artemenko
0951991c1d update aspell-dict.txt 2024-11-19 13:10:42 +00:00
Mikhail Artemenko
19aec5e572 Merge branch 'issues/70174/cluster_versions' of github.com:ClickHouse/ClickHouse into issues/70174/cluster_versions 2024-11-19 12:51:56 +00:00
Mikhail Artemenko
a367de9977 add docs 2024-11-19 12:49:59 +00:00
Mikhail Artemenko
6894e280b2 fix pr issues 2024-11-19 12:34:42 +00:00
kssenii
4e2549bcf3 Fixes & improvements 2024-11-19 13:11:16 +01:00
Mikhail Artemenko
39ebe113d9 Merge branch 'master' into issues/70174/cluster_versions 2024-11-19 11:28:46 +00:00
robot-clickhouse
014608fb6b Automatic style fix 2024-11-18 17:51:51 +00:00
Mikhail Artemenko
a29ded4941 add test for iceberg 2024-11-18 17:39:46 +00:00
Mikhail Artemenko
d2efae7511 enable cluster versions for datalake storages 2024-11-18 17:35:21 +00:00
Alexey Milovidov
49589da56e Fix comments 2024-11-18 07:18:46 +01:00
kssenii
32ff7d2722 Fix build and test 2024-11-15 11:41:54 +01:00
kssenii
0e14b49298 Support auth header 2024-11-14 19:56:51 +01:00
kssenii
326c91c02b Fix test 2024-11-14 13:56:09 +01:00
kssenii
6c3003c6ce Cleanup 2024-11-13 20:30:33 +01:00
kssenii
58edfbe113 Fix style check 2024-11-13 20:12:52 +01:00
kssenii
6dfd4ad942 Better 2024-11-13 19:58:04 +01:00
kssenii
1e8ee2034a Fix test run with runner 2024-11-13 15:26:32 +01:00
kssenii
f8fbd0330c Update requirements.txt 2024-11-12 19:04:22 +01:00
robot-clickhouse
19854ff78a Automatic style fix 2024-11-12 17:24:34 +00:00
kssenii
f8255fb4ae One more test 2024-11-12 18:17:10 +01:00
kssenii
e565f5f1c7 Add a test 2024-11-12 16:41:39 +01:00
robot-clickhouse
ca3dfe5d8e Automatic style fix 2024-11-06 20:05:17 +00:00
kssenii
1c3fcfa355 Fix style check 2024-11-06 20:57:43 +01:00
kssenii
fb28c16453 Unfinished test 2024-11-06 20:42:50 +01:00
kssenii
9c6a75c1dd Support read-only part of Iceberg REST Catalog API 2024-11-06 17:08:34 +01:00
Yakov Olkhovskiy
3827d90bb0 add test 2024-10-08 02:37:41 +00:00
Yakov Olkhovskiy
bf3a3ad607 fix ephemeral comment 2024-10-08 02:27:36 +00:00
52 changed files with 2373 additions and 75 deletions

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@ -16,16 +16,18 @@ ClickHouse works 100-1000x faster than traditional database management systems,
For more information and documentation see https://clickhouse.com/.
<!-- This is not related to the docker official library, remove it before commit to https://github.com/docker-library/docs -->
## Versions
- The `latest` tag points to the latest release of the latest stable branch.
- Branch tags like `22.2` point to the latest release of the corresponding branch.
- Full version tags like `22.2.3.5` point to the corresponding release.
- Full version tags like `22.2.3` and `22.2.3.5` point to the corresponding release.
<!-- docker-official-library:off -->
<!-- This is not related to the docker official library, remove it before commit to https://github.com/docker-library/docs -->
- The tag `head` is built from the latest commit to the default branch.
- Each tag has optional `-alpine` suffix to reflect that it's built on top of `alpine`.
<!-- REMOVE UNTIL HERE -->
<!-- docker-official-library:on -->
### Compatibility
- The amd64 image requires support for [SSE3 instructions](https://en.wikipedia.org/wiki/SSE3). Virtually all x86 CPUs after 2005 support SSE3.

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@ -10,16 +10,18 @@ ClickHouse works 100-1000x faster than traditional database management systems,
For more information and documentation see https://clickhouse.com/.
<!-- This is not related to the docker official library, remove it before commit to https://github.com/docker-library/docs -->
## Versions
- The `latest` tag points to the latest release of the latest stable branch.
- Branch tags like `22.2` point to the latest release of the corresponding branch.
- Full version tags like `22.2.3.5` point to the corresponding release.
- Full version tags like `22.2.3` and `22.2.3.5` point to the corresponding release.
<!-- docker-official-library:off -->
<!-- This is not related to the docker official library, remove it before commit to https://github.com/docker-library/docs -->
- The tag `head` is built from the latest commit to the default branch.
- Each tag has optional `-alpine` suffix to reflect that it's built on top of `alpine`.
<!-- REMOVE UNTIL HERE -->
<!-- docker-official-library:on -->
### Compatibility
- The amd64 image requires support for [SSE3 instructions](https://en.wikipedia.org/wiki/SSE3). Virtually all x86 CPUs after 2005 support SSE3.

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@ -36,7 +36,7 @@ geomet==0.2.1.post1
grpcio-tools==1.60.0
grpcio==1.60.0
gssapi==1.8.3
httplib2==0.20.2
httplib2==0.22.0
idna==3.7
importlib-metadata==4.6.4
iniconfig==2.0.0
@ -72,7 +72,7 @@ pyarrow==17.0.0
pycparser==2.22
pycryptodome==3.20.0
pymongo==3.11.0
pyparsing==2.4.7
pyparsing==3.1.0
pyspark==3.3.2
pyspnego==0.10.2
pytest-order==1.0.0
@ -101,3 +101,4 @@ wadllib==1.3.6
websocket-client==1.8.0
wheel==0.38.1
zipp==1.0.0
pyiceberg==0.7.1

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@ -522,4 +522,3 @@ sidebar_label: 2024
* Backported in [#68518](https://github.com/ClickHouse/ClickHouse/issues/68518): Minor update in Dynamic/JSON serializations. [#68459](https://github.com/ClickHouse/ClickHouse/pull/68459) ([Kruglov Pavel](https://github.com/Avogar)).
* Backported in [#68558](https://github.com/ClickHouse/ClickHouse/issues/68558): CI: Minor release workflow fix. [#68536](https://github.com/ClickHouse/ClickHouse/pull/68536) ([Max K.](https://github.com/maxknv)).
* Backported in [#68576](https://github.com/ClickHouse/ClickHouse/issues/68576): CI: Tidy build timeout from 2h to 3h. [#68567](https://github.com/ClickHouse/ClickHouse/pull/68567) ([Max K.](https://github.com/maxknv)).

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@ -497,4 +497,3 @@ sidebar_label: 2024
* Backported in [#69899](https://github.com/ClickHouse/ClickHouse/issues/69899): Revert "Merge pull request [#69032](https://github.com/ClickHouse/ClickHouse/issues/69032) from alexon1234/include_real_time_execution_in_http_header". [#69885](https://github.com/ClickHouse/ClickHouse/pull/69885) ([Alexey Milovidov](https://github.com/alexey-milovidov)).
* Backported in [#69931](https://github.com/ClickHouse/ClickHouse/issues/69931): RIPE is an acronym and thus should be capital. RIPE stands for **R**ACE **I**ntegrity **P**rimitives **E**valuation and RACE stands for **R**esearch and Development in **A**dvanced **C**ommunications **T**echnologies in **E**urope. [#69901](https://github.com/ClickHouse/ClickHouse/pull/69901) ([Nikita Mikhaylov](https://github.com/nikitamikhaylov)).
* Backported in [#70034](https://github.com/ClickHouse/ClickHouse/issues/70034): Revert "Add RIPEMD160 function". [#70005](https://github.com/ClickHouse/ClickHouse/pull/70005) ([Robert Schulze](https://github.com/rschu1ze)).

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@ -936,4 +936,4 @@ SELECT mapPartialReverseSort((k, v) -> v, 2, map('k1', 3, 'k2', 1, 'k3', 2));
┌─mapPartialReverseSort(lambda(tuple(k, v), v), 2, map('k1', 3, 'k2', 1, 'k3', 2))─┐
│ {'k1':3,'k3':2,'k2':1} │
└──────────────────────────────────────────────────────────────────────────────────┘
```
```

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@ -49,4 +49,4 @@ LIMIT 2
**See Also**
- [DeltaLake engine](/docs/en/engines/table-engines/integrations/deltalake.md)
- [DeltaLake cluster table function](/docs/en/sql-reference/table-functions/deltalakeCluster.md)

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@ -0,0 +1,30 @@
---
slug: /en/sql-reference/table-functions/deltalakeCluster
sidebar_position: 46
sidebar_label: deltaLakeCluster
title: "deltaLakeCluster Table Function"
---
This is an extension to the [deltaLake](/docs/en/sql-reference/table-functions/deltalake.md) table function.
Allows processing files from [Delta Lake](https://github.com/delta-io/delta) tables in Amazon S3 in parallel from many nodes in a specified cluster. On initiator it creates a connection to all nodes in the cluster and dispatches each file dynamically. On the worker node it asks the initiator about the next task to process and processes it. This is repeated until all tasks are finished.
**Syntax**
``` sql
deltaLakeCluster(cluster_name, url [,aws_access_key_id, aws_secret_access_key] [,format] [,structure] [,compression])
```
**Arguments**
- `cluster_name` — Name of a cluster that is used to build a set of addresses and connection parameters to remote and local servers.
- Description of all other arguments coincides with description of arguments in equivalent [deltaLake](/docs/en/sql-reference/table-functions/deltalake.md) table function.
**Returned value**
A table with the specified structure for reading data from cluster in the specified Delta Lake table in S3.
**See Also**
- [deltaLake engine](/docs/en/engines/table-engines/integrations/deltalake.md)
- [deltaLake table function](/docs/en/sql-reference/table-functions/deltalake.md)

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@ -29,4 +29,4 @@ A table with the specified structure for reading data in the specified Hudi tabl
**See Also**
- [Hudi engine](/docs/en/engines/table-engines/integrations/hudi.md)
- [Hudi cluster table function](/docs/en/sql-reference/table-functions/hudiCluster.md)

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@ -0,0 +1,30 @@
---
slug: /en/sql-reference/table-functions/hudiCluster
sidebar_position: 86
sidebar_label: hudiCluster
title: "hudiCluster Table Function"
---
This is an extension to the [hudi](/docs/en/sql-reference/table-functions/hudi.md) table function.
Allows processing files from Apache [Hudi](https://hudi.apache.org/) tables in Amazon S3 in parallel from many nodes in a specified cluster. On initiator it creates a connection to all nodes in the cluster and dispatches each file dynamically. On the worker node it asks the initiator about the next task to process and processes it. This is repeated until all tasks are finished.
**Syntax**
``` sql
hudiCluster(cluster_name, url [,aws_access_key_id, aws_secret_access_key] [,format] [,structure] [,compression])
```
**Arguments**
- `cluster_name` — Name of a cluster that is used to build a set of addresses and connection parameters to remote and local servers.
- Description of all other arguments coincides with description of arguments in equivalent [hudi](/docs/en/sql-reference/table-functions/hudi.md) table function.
**Returned value**
A table with the specified structure for reading data from cluster in the specified Hudi table in S3.
**See Also**
- [Hudi engine](/docs/en/engines/table-engines/integrations/hudi.md)
- [Hudi table function](/docs/en/sql-reference/table-functions/hudi.md)

View File

@ -72,3 +72,4 @@ Table function `iceberg` is an alias to `icebergS3` now.
**See Also**
- [Iceberg engine](/docs/en/engines/table-engines/integrations/iceberg.md)
- [Iceberg cluster table function](/docs/en/sql-reference/table-functions/icebergCluster.md)

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@ -0,0 +1,43 @@
---
slug: /en/sql-reference/table-functions/icebergCluster
sidebar_position: 91
sidebar_label: icebergCluster
title: "icebergCluster Table Function"
---
This is an extension to the [iceberg](/docs/en/sql-reference/table-functions/iceberg.md) table function.
Allows processing files from Apache [Iceberg](https://iceberg.apache.org/) in parallel from many nodes in a specified cluster. On initiator it creates a connection to all nodes in the cluster and dispatches each file dynamically. On the worker node it asks the initiator about the next task to process and processes it. This is repeated until all tasks are finished.
**Syntax**
``` sql
icebergS3Cluster(cluster_name, url [, NOSIGN | access_key_id, secret_access_key, [session_token]] [,format] [,compression_method])
icebergS3Cluster(cluster_name, named_collection[, option=value [,..]])
icebergAzureCluster(cluster_name, connection_string|storage_account_url, container_name, blobpath, [,account_name], [,account_key] [,format] [,compression_method])
icebergAzureCluster(cluster_name, named_collection[, option=value [,..]])
icebergHDFSCluster(cluster_name, path_to_table, [,format] [,compression_method])
icebergHDFSCluster(cluster_name, named_collection[, option=value [,..]])
```
**Arguments**
- `cluster_name` — Name of a cluster that is used to build a set of addresses and connection parameters to remote and local servers.
- Description of all other arguments coincides with description of arguments in equivalent [iceberg](/docs/en/sql-reference/table-functions/iceberg.md) table function.
**Returned value**
A table with the specified structure for reading data from cluster in the specified Iceberg table.
**Examples**
```sql
SELECT * FROM icebergS3Cluster('cluster_simple', 'http://test.s3.amazonaws.com/clickhouse-bucket/test_table', 'test', 'test')
```
**See Also**
- [Iceberg engine](/docs/en/engines/table-engines/integrations/iceberg.md)
- [Iceberg table function](/docs/en/sql-reference/table-functions/iceberg.md)

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@ -476,7 +476,7 @@
<input id="edit" type="button" value="✎" style="display: none;">
<input id="add" type="button" value="Add chart" style="display: none;">
<input id="reload" type="button" value="Reload">
<span id="search-span" class="nowrap" style="display: none;"><input id="search" type="button" value="🔎" title="Run query to obtain list of charts from ClickHouse"><input id="search-query" name="search" type="text" spellcheck="false"></span>
<span id="search-span" class="nowrap" style="display: none;"><input id="search" type="button" value="🔎" title="Run query to obtain list of charts from ClickHouse. Either select dashboard name or write your own query"><input id="search-query" name="search" list="search-options" type="text" spellcheck="false"><datalist id="search-options"></datalist></span>
<div id="chart-params"></div>
</div>
</form>
@ -532,9 +532,15 @@ const errorMessages = [
}
]
/// Dashboard selector
const dashboardSearchQuery = (dashboard_name) => `SELECT title, query FROM system.dashboards WHERE dashboard = '${dashboard_name}'`;
let dashboard_queries = {
"Overview": dashboardSearchQuery("Overview"),
};
const default_dashboard = 'Overview';
/// Query to fill `queries` list for the dashboard
let search_query = `SELECT title, query FROM system.dashboards WHERE dashboard = 'Overview'`;
let search_query = dashboardSearchQuery(default_dashboard);
let customized = false;
let queries = [];
@ -1439,7 +1445,7 @@ async function reloadAll(do_search) {
try {
updateParams();
if (do_search) {
search_query = document.getElementById('search-query').value;
search_query = toSearchQuery(document.getElementById('search-query').value);
queries = [];
refreshCustomized(false);
}
@ -1504,7 +1510,7 @@ function updateFromState() {
document.getElementById('url').value = host;
document.getElementById('user').value = user;
document.getElementById('password').value = password;
document.getElementById('search-query').value = search_query;
document.getElementById('search-query').value = fromSearchQuery(search_query);
refreshCustomized();
}
@ -1543,6 +1549,44 @@ if (window.location.hash) {
} catch {}
}
function fromSearchQuery(query) {
for (const dashboard_name in dashboard_queries) {
if (query == dashboard_queries[dashboard_name])
return dashboard_name;
}
return query;
}
function toSearchQuery(value) {
if (value in dashboard_queries)
return dashboard_queries[value];
else
return value;
}
async function populateSearchOptions() {
let {reply, error} = await doFetch("SELECT dashboard FROM system.dashboards GROUP BY dashboard ORDER BY ALL");
if (error) {
throw new Error(error);
}
let data = reply.data;
if (data.dashboard.length == 0) {
console.log("Unable to fetch dashboards list");
return;
}
dashboard_queries = {};
for (let i = 0; i < data.dashboard.length; i++) {
const dashboard = data.dashboard[i];
dashboard_queries[dashboard] = dashboardSearchQuery(dashboard);
}
const searchOptions = document.getElementById('search-options');
for (const dashboard in dashboard_queries) {
const opt = document.createElement('option');
opt.value = dashboard;
searchOptions.appendChild(opt);
}
}
async function start() {
try {
updateFromState();
@ -1558,6 +1602,7 @@ async function start() {
} else {
drawAll();
}
await populateSearchOptions();
} catch (e) {
showError(e.message);
}

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@ -528,7 +528,7 @@ QueryTreeNodePtr IdentifierResolver::tryResolveIdentifierFromCompoundExpression(
*
* Resolve strategy:
* 1. Try to bind identifier to scope argument name to node map.
* 2. If identifier is binded but expression context and node type are incompatible return nullptr.
* 2. If identifier is bound but expression context and node type are incompatible return nullptr.
*
* It is important to support edge cases, where we lookup for table or function node, but argument has same name.
* Example: WITH (x -> x + 1) AS func, (func -> func(1) + func) AS lambda SELECT lambda(1);

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@ -166,6 +166,8 @@ if (TARGET ch_contrib::hdfs)
add_headers_and_sources(dbms Disks/ObjectStorages/HDFS)
endif()
add_headers_and_sources(dbms Databases/Iceberg)
add_headers_and_sources(dbms Disks/ObjectStorages/Cached)
add_headers_and_sources(dbms Disks/ObjectStorages/Local)
add_headers_and_sources(dbms Disks/ObjectStorages/Web)

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@ -362,7 +362,7 @@ ReplxxLineReader::ReplxxLineReader(
if (highlighter)
rx.set_highlighter_callback(highlighter);
/// By default C-p/C-n binded to COMPLETE_NEXT/COMPLETE_PREV,
/// By default C-p/C-n bound to COMPLETE_NEXT/COMPLETE_PREV,
/// bind C-p/C-n to history-previous/history-next like readline.
rx.bind_key(Replxx::KEY::control('N'), [this](char32_t code) { return rx.invoke(Replxx::ACTION::HISTORY_NEXT, code); });
rx.bind_key(Replxx::KEY::control('P'), [this](char32_t code) { return rx.invoke(Replxx::ACTION::HISTORY_PREVIOUS, code); });
@ -384,9 +384,9 @@ ReplxxLineReader::ReplxxLineReader(
rx.bind_key(Replxx::KEY::control('J'), commit_action);
rx.bind_key(Replxx::KEY::ENTER, commit_action);
/// By default COMPLETE_NEXT/COMPLETE_PREV was binded to C-p/C-n, re-bind
/// By default COMPLETE_NEXT/COMPLETE_PREV was bound to C-p/C-n, re-bind
/// to M-P/M-N (that was used for HISTORY_COMMON_PREFIX_SEARCH before, but
/// it also binded to M-p/M-n).
/// it also bound to M-p/M-n).
rx.bind_key(Replxx::KEY::meta('N'), [this](char32_t code) { return rx.invoke(Replxx::ACTION::COMPLETE_NEXT, code); });
rx.bind_key(Replxx::KEY::meta('P'), [this](char32_t code) { return rx.invoke(Replxx::ACTION::COMPLETE_PREVIOUS, code); });
/// By default M-BACKSPACE is KILL_TO_WHITESPACE_ON_LEFT, while in readline it is backward-kill-word

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@ -189,6 +189,9 @@
M(BuildVectorSimilarityIndexThreads, "Number of threads in the build vector similarity index thread pool.") \
M(BuildVectorSimilarityIndexThreadsActive, "Number of threads in the build vector similarity index thread pool running a task.") \
M(BuildVectorSimilarityIndexThreadsScheduled, "Number of queued or active jobs in the build vector similarity index thread pool.") \
M(IcebergCatalogThreads, "Number of threads in the IcebergCatalog thread pool.") \
M(IcebergCatalogThreadsActive, "Number of threads in the IcebergCatalog thread pool running a task.") \
M(IcebergCatalogThreadsScheduled, "Number of queued or active jobs in the IcebergCatalog thread pool.") \
\
M(DiskPlainRewritableAzureDirectoryMapSize, "Number of local-to-remote path entries in the 'plain_rewritable' in-memory map for AzureObjectStorage.") \
M(DiskPlainRewritableAzureFileCount, "Number of file entries in the 'plain_rewritable' in-memory map for AzureObjectStorage.") \

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@ -613,6 +613,7 @@
M(733, TABLE_IS_BEING_RESTARTED) \
M(734, CANNOT_WRITE_AFTER_BUFFER_CANCELED) \
M(735, QUERY_WAS_CANCELLED_BY_CLIENT) \
M(736, ICEBERG_CATALOG_ERROR) \
\
M(900, DISTRIBUTED_CACHE_ERROR) \
M(901, CANNOT_USE_DISTRIBUTED_CACHE) \

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@ -280,4 +280,14 @@ IMPLEMENT_SETTING_ENUM(
{"StochasticSimple", MergeSelectorAlgorithm::STOCHASTIC_SIMPLE},
{"Trivial", MergeSelectorAlgorithm::TRIVIAL}})
IMPLEMENT_SETTING_ENUM(DatabaseIcebergCatalogType, ErrorCodes::BAD_ARGUMENTS,
{{"rest", DatabaseIcebergCatalogType::REST}})
IMPLEMENT_SETTING_ENUM(DatabaseIcebergStorageType, ErrorCodes::BAD_ARGUMENTS,
{{"s3", DatabaseIcebergStorageType::S3},
{"azure", DatabaseIcebergStorageType::Azure},
{"hdfs", DatabaseIcebergStorageType::HDFS},
{"local", DatabaseIcebergStorageType::Local},
})
}

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@ -361,4 +361,21 @@ DECLARE_SETTING_ENUM(GroupArrayActionWhenLimitReached)
DECLARE_SETTING_ENUM(MergeSelectorAlgorithm)
enum class DatabaseIcebergCatalogType : uint8_t
{
REST,
};
DECLARE_SETTING_ENUM(DatabaseIcebergCatalogType)
enum class DatabaseIcebergStorageType : uint8_t
{
S3,
Azure,
Local,
HDFS,
};
DECLARE_SETTING_ENUM(DatabaseIcebergStorageType)
}

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@ -0,0 +1,365 @@
#include <Databases/Iceberg/DatabaseIceberg.h>
#if USE_AVRO
#include <Access/Common/HTTPAuthenticationScheme.h>
#include <Databases/DatabaseFactory.h>
#include <Databases/Iceberg/RestCatalog.h>
#include <DataTypes/DataTypeString.h>
#include <Storages/ObjectStorage/S3/Configuration.h>
#include <Storages/ConstraintsDescription.h>
#include <Storages/StorageNull.h>
#include <Storages/ObjectStorage/DataLakes/DataLakeConfiguration.h>
#include <Interpreters/evaluateConstantExpression.h>
#include <Interpreters/Context.h>
#include <Interpreters/StorageID.h>
#include <Formats/FormatFactory.h>
#include <Parsers/ASTCreateQuery.h>
#include <Parsers/ASTLiteral.h>
#include <Parsers/ASTFunction.h>
#include <Parsers/ASTDataType.h>
namespace CurrentMetrics
{
extern const Metric IcebergCatalogThreads;
extern const Metric IcebergCatalogThreadsActive;
extern const Metric IcebergCatalogThreadsScheduled;
}
namespace DB
{
namespace DatabaseIcebergSetting
{
extern const DatabaseIcebergSettingsDatabaseIcebergCatalogType catalog_type;
extern const DatabaseIcebergSettingsDatabaseIcebergStorageType storage_type;
extern const DatabaseIcebergSettingsString warehouse;
extern const DatabaseIcebergSettingsString catalog_credential;
extern const DatabaseIcebergSettingsString auth_header;
extern const DatabaseIcebergSettingsString storage_endpoint;
}
namespace ErrorCodes
{
extern const int BAD_ARGUMENTS;
}
namespace
{
/// Parse a string, containing at least one dot, into a two substrings:
/// A.B.C.D.E -> A.B.C.D and E, where
/// `A.B.C.D` is a table "namespace".
/// `E` is a table name.
std::pair<std::string, std::string> parseTableName(const std::string & name)
{
auto pos = name.rfind('.');
if (pos == std::string::npos)
throw DB::Exception(ErrorCodes::BAD_ARGUMENTS, "Table cannot have empty namespace: {}", name);
auto table_name = name.substr(pos + 1);
auto namespace_name = name.substr(0, name.size() - table_name.size() - 1);
return {namespace_name, table_name};
}
}
DatabaseIceberg::DatabaseIceberg(
const std::string & database_name_,
const std::string & url_,
const DatabaseIcebergSettings & settings_,
ASTPtr database_engine_definition_,
ContextPtr context_)
: IDatabase(database_name_)
, url(url_)
, settings(settings_)
, database_engine_definition(database_engine_definition_)
, log(getLogger("DatabaseIceberg(" + database_name_ + ")"))
{
validateSettings(context_);
}
void DatabaseIceberg::validateSettings(const ContextPtr & context_)
{
if (settings[DatabaseIcebergSetting::warehouse].value.empty())
{
throw Exception(
ErrorCodes::BAD_ARGUMENTS, "`warehouse` setting cannot be empty. "
"Please specify 'SETTINGS warehouse=<warehouse_name>' in the CREATE DATABASE query");
}
if (!settings[DatabaseIcebergSetting::storage_type].changed)
{
auto catalog = getCatalog(context_);
const auto storage_type = catalog->getStorageType();
if (!storage_type)
{
throw Exception(
ErrorCodes::BAD_ARGUMENTS, "Storage type is not found in catalog config. "
"Please specify it manually via 'SETTINGS storage_type=<type>' in CREATE DATABASE query");
}
}
}
std::shared_ptr<Iceberg::ICatalog> DatabaseIceberg::getCatalog(ContextPtr) const
{
if (catalog_impl)
return catalog_impl;
switch (settings[DatabaseIcebergSetting::catalog_type].value)
{
case DB::DatabaseIcebergCatalogType::REST:
{
catalog_impl = std::make_shared<Iceberg::RestCatalog>(
settings[DatabaseIcebergSetting::warehouse].value,
url,
settings[DatabaseIcebergSetting::catalog_credential].value,
settings[DatabaseIcebergSetting::auth_header],
Context::getGlobalContextInstance());
}
}
return catalog_impl;
}
std::shared_ptr<StorageObjectStorage::Configuration> DatabaseIceberg::getConfiguration() const
{
switch (settings[DatabaseIcebergSetting::storage_type].value)
{
#if USE_AWS_S3
case DB::DatabaseIcebergStorageType::S3:
{
return std::make_shared<StorageS3IcebergConfiguration>();
}
#endif
#if USE_AZURE_BLOB_STORAGE
case DB::DatabaseIcebergStorageType::Azure:
{
return std::make_shared<StorageAzureIcebergConfiguration>();
}
#endif
#if USE_HDFS
case DB::DatabaseIcebergStorageType::HDFS:
{
return std::make_shared<StorageHDFSIcebergConfiguration>();
}
#endif
case DB::DatabaseIcebergStorageType::Local:
{
return std::make_shared<StorageLocalIcebergConfiguration>();
}
#if !USE_AWS_S3 || !USE_AZURE_BLOB_STORAGE || !USE_HDFS
default:
throw Exception(ErrorCodes::BAD_ARGUMENTS,
"Server does not contain support for storage type {}",
settings[DatabaseIcebergSetting::storage_type].value);
#endif
}
}
std::string DatabaseIceberg::getStorageEndpointForTable(const Iceberg::TableMetadata & table_metadata) const
{
auto endpoint_from_settings = settings[DatabaseIcebergSetting::storage_endpoint].value;
if (!endpoint_from_settings.empty())
{
return std::filesystem::path(endpoint_from_settings)
/ table_metadata.getLocation(/* path_only */true)
/ "";
}
else
{
return std::filesystem::path(table_metadata.getLocation(/* path_only */false)) / "";
}
}
bool DatabaseIceberg::empty() const
{
return getCatalog(Context::getGlobalContextInstance())->empty();
}
bool DatabaseIceberg::isTableExist(const String & name, ContextPtr context_) const
{
const auto [namespace_name, table_name] = parseTableName(name);
return getCatalog(context_)->existsTable(namespace_name, table_name);
}
StoragePtr DatabaseIceberg::tryGetTable(const String & name, ContextPtr context_) const
{
auto catalog = getCatalog(context_);
auto table_metadata = Iceberg::TableMetadata().withLocation().withSchema();
auto [namespace_name, table_name] = parseTableName(name);
if (!catalog->tryGetTableMetadata(namespace_name, table_name, table_metadata))
return nullptr;
/// Take database engine definition AST as base.
ASTStorage * storage = database_engine_definition->as<ASTStorage>();
ASTs args = storage->engine->arguments->children;
/// Replace Iceberg Catalog endpoint with storage path endpoint of requested table.
auto table_endpoint = getStorageEndpointForTable(table_metadata);
args[0] = std::make_shared<ASTLiteral>(table_endpoint);
LOG_TEST(log, "Using table endpoint: {}", table_endpoint);
const auto columns = ColumnsDescription(table_metadata.getSchema());
const auto configuration = getConfiguration();
/// with_table_structure = false: because there will be
/// no table structure in table definition AST.
StorageObjectStorage::Configuration::initialize(*configuration, args, context_, /* with_table_structure */false);
return std::make_shared<StorageObjectStorage>(
configuration,
configuration->createObjectStorage(context_, /* is_readonly */ false),
context_,
StorageID(getDatabaseName(), name),
/* columns */columns,
/* constraints */ConstraintsDescription{},
/* comment */"",
getFormatSettings(context_),
LoadingStrictnessLevel::CREATE,
/* distributed_processing */false,
/* partition_by */nullptr,
/* lazy_init */true);
}
DatabaseTablesIteratorPtr DatabaseIceberg::getTablesIterator(
ContextPtr context_,
const FilterByNameFunction & filter_by_table_name,
bool /* skip_not_loaded */) const
{
Tables tables;
auto catalog = getCatalog(context_);
auto iceberg_tables = catalog->getTables();
size_t num_threads = std::min<size_t>(10, iceberg_tables.size());
ThreadPool pool(
CurrentMetrics::IcebergCatalogThreads,
CurrentMetrics::IcebergCatalogThreadsActive,
CurrentMetrics::IcebergCatalogThreadsScheduled,
num_threads);
DB::ThreadPoolCallbackRunnerLocal<void> runner(pool, "RestCatalog");
std::mutex mutexx;
for (const auto & table_name : iceberg_tables)
{
if (filter_by_table_name && !filter_by_table_name(table_name))
continue;
runner([&]{
auto storage = tryGetTable(table_name, context_);
{
std::lock_guard lock(mutexx);
[[maybe_unused]] bool inserted = tables.emplace(table_name, storage).second;
chassert(inserted);
}
});
}
runner.waitForAllToFinishAndRethrowFirstError();
return std::make_unique<DatabaseTablesSnapshotIterator>(tables, getDatabaseName());
}
ASTPtr DatabaseIceberg::getCreateDatabaseQuery() const
{
const auto & create_query = std::make_shared<ASTCreateQuery>();
create_query->setDatabase(getDatabaseName());
create_query->set(create_query->storage, database_engine_definition);
return create_query;
}
ASTPtr DatabaseIceberg::getCreateTableQueryImpl(
const String & name,
ContextPtr context_,
bool /* throw_on_error */) const
{
auto catalog = getCatalog(context_);
auto table_metadata = Iceberg::TableMetadata().withLocation().withSchema();
const auto [namespace_name, table_name] = parseTableName(name);
catalog->getTableMetadata(namespace_name, table_name, table_metadata);
auto create_table_query = std::make_shared<ASTCreateQuery>();
auto table_storage_define = database_engine_definition->clone();
auto * storage = table_storage_define->as<ASTStorage>();
storage->engine->kind = ASTFunction::Kind::TABLE_ENGINE;
storage->settings = {};
create_table_query->set(create_table_query->storage, table_storage_define);
auto columns_declare_list = std::make_shared<ASTColumns>();
auto columns_expression_list = std::make_shared<ASTExpressionList>();
columns_declare_list->set(columns_declare_list->columns, columns_expression_list);
create_table_query->set(create_table_query->columns_list, columns_declare_list);
create_table_query->setTable(name);
create_table_query->setDatabase(getDatabaseName());
for (const auto & column_type_and_name : table_metadata.getSchema())
{
const auto column_declaration = std::make_shared<ASTColumnDeclaration>();
column_declaration->name = column_type_and_name.name;
column_declaration->type = makeASTDataType(column_type_and_name.type->getName());
columns_expression_list->children.emplace_back(column_declaration);
}
auto storage_engine_arguments = storage->engine->arguments;
if (storage_engine_arguments->children.empty())
{
throw Exception(
ErrorCodes::BAD_ARGUMENTS, "Unexpected number of arguments: {}",
storage_engine_arguments->children.size());
}
auto table_endpoint = getStorageEndpointForTable(table_metadata);
storage_engine_arguments->children[0] = std::make_shared<ASTLiteral>(table_endpoint);
return create_table_query;
}
void registerDatabaseIceberg(DatabaseFactory & factory)
{
auto create_fn = [](const DatabaseFactory::Arguments & args)
{
const auto * database_engine_define = args.create_query.storage;
const auto & database_engine_name = args.engine_name;
const ASTFunction * function_define = database_engine_define->engine;
if (!function_define->arguments)
throw Exception(ErrorCodes::BAD_ARGUMENTS, "Engine `{}` must have arguments", database_engine_name);
ASTs & engine_args = function_define->arguments->children;
if (engine_args.empty())
throw Exception(ErrorCodes::BAD_ARGUMENTS, "Engine `{}` must have arguments", database_engine_name);
const size_t max_args_num = 3;
if (engine_args.size() != max_args_num)
throw Exception(ErrorCodes::BAD_ARGUMENTS, "Engine must have {} arguments", max_args_num);
for (auto & engine_arg : engine_args)
engine_arg = evaluateConstantExpressionOrIdentifierAsLiteral(engine_arg, args.context);
const auto url = engine_args[0]->as<ASTLiteral>()->value.safeGet<String>();
DatabaseIcebergSettings database_settings;
if (database_engine_define->settings)
database_settings.loadFromQuery(*database_engine_define);
return std::make_shared<DatabaseIceberg>(
args.database_name,
url,
database_settings,
database_engine_define->clone(),
args.context);
};
factory.registerDatabase("Iceberg", create_fn, { .supports_arguments = true, .supports_settings = true });
}
}
#endif

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#pragma once
#include "config.h"
#if USE_AVRO
#include <Databases/DatabasesCommon.h>
#include <Databases/Iceberg/DatabaseIcebergSettings.h>
#include <Databases/Iceberg/ICatalog.h>
#include <Storages/ObjectStorage/StorageObjectStorage.h>
#include <Poco/Net/HTTPBasicCredentials.h>
namespace DB
{
/// TODO:
/// - auth: oauth, bearer token?
/// - tests with azure, hdfs, local
class DatabaseIceberg final : public IDatabase, WithContext
{
public:
explicit DatabaseIceberg(
const std::string & database_name_,
const std::string & url_,
const DatabaseIcebergSettings & settings_,
ASTPtr database_engine_definition_,
ContextPtr context_);
String getEngineName() const override { return "Iceberg"; }
bool canContainMergeTreeTables() const override { return false; }
bool canContainDistributedTables() const override { return false; }
bool shouldBeEmptyOnDetach() const override { return false; }
bool empty() const override;
bool isTableExist(const String & name, ContextPtr context) const override;
StoragePtr tryGetTable(const String & name, ContextPtr context) const override;
DatabaseTablesIteratorPtr getTablesIterator(
ContextPtr context,
const FilterByNameFunction & filter_by_table_name,
bool skip_not_loaded) const override;
void shutdown() override {}
ASTPtr getCreateDatabaseQuery() const override;
protected:
ASTPtr getCreateTableQueryImpl(const String & table_name, ContextPtr context, bool throw_on_error) const override;
private:
/// Iceberg Catalog url.
const std::string url;
/// SETTINGS from CREATE query.
const DatabaseIcebergSettings settings;
/// Database engine definition taken from initial CREATE DATABASE query.
const ASTPtr database_engine_definition;
const LoggerPtr log;
/// Crendetials to authenticate Iceberg Catalog.
Poco::Net::HTTPBasicCredentials credentials;
mutable std::shared_ptr<Iceberg::ICatalog> catalog_impl;
void validateSettings(const ContextPtr & context_);
std::shared_ptr<Iceberg::ICatalog> getCatalog(ContextPtr context_) const;
std::shared_ptr<StorageObjectStorage::Configuration> getConfiguration() const;
std::string getStorageEndpointForTable(const Iceberg::TableMetadata & table_metadata) const;
};
}
#endif

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#include <Core/BaseSettings.h>
#include <Core/BaseSettingsFwdMacrosImpl.h>
#include <Parsers/ASTCreateQuery.h>
#include <Parsers/ASTFunction.h>
#include <Parsers/ASTSetQuery.h>
#include <Databases/Iceberg/DatabaseIcebergSettings.h>
#include <Common/Exception.h>
namespace DB
{
namespace ErrorCodes
{
extern const int UNKNOWN_SETTING;
}
#define DATABASE_ICEBERG_RELATED_SETTINGS(DECLARE, ALIAS) \
DECLARE(DatabaseIcebergCatalogType, catalog_type, DatabaseIcebergCatalogType::REST, "Catalog type", 0) \
DECLARE(DatabaseIcebergStorageType, storage_type, DatabaseIcebergStorageType::S3, "Storage type: S3, Local, Azure, HDFS", 0) \
DECLARE(String, catalog_credential, "", "", 0) \
DECLARE(String, warehouse, "", "Warehouse name inside the catalog", 0) \
DECLARE(String, auth_header, "", "Authorization header of format 'Authorization: <scheme> <auth_info>'", 0) \
DECLARE(String, storage_endpoint, "", "Object storage endpoint", 0) \
#define LIST_OF_DATABASE_ICEBERG_SETTINGS(M, ALIAS) \
DATABASE_ICEBERG_RELATED_SETTINGS(M, ALIAS)
DECLARE_SETTINGS_TRAITS(DatabaseIcebergSettingsTraits, LIST_OF_DATABASE_ICEBERG_SETTINGS)
IMPLEMENT_SETTINGS_TRAITS(DatabaseIcebergSettingsTraits, LIST_OF_DATABASE_ICEBERG_SETTINGS)
struct DatabaseIcebergSettingsImpl : public BaseSettings<DatabaseIcebergSettingsTraits>
{
};
#define INITIALIZE_SETTING_EXTERN(TYPE, NAME, DEFAULT, DESCRIPTION, FLAGS) \
DatabaseIcebergSettings##TYPE NAME = &DatabaseIcebergSettingsImpl ::NAME;
namespace DatabaseIcebergSetting
{
LIST_OF_DATABASE_ICEBERG_SETTINGS(INITIALIZE_SETTING_EXTERN, SKIP_ALIAS)
}
#undef INITIALIZE_SETTING_EXTERN
DatabaseIcebergSettings::DatabaseIcebergSettings() : impl(std::make_unique<DatabaseIcebergSettingsImpl>())
{
}
DatabaseIcebergSettings::DatabaseIcebergSettings(const DatabaseIcebergSettings & settings)
: impl(std::make_unique<DatabaseIcebergSettingsImpl>(*settings.impl))
{
}
DatabaseIcebergSettings::DatabaseIcebergSettings(DatabaseIcebergSettings && settings) noexcept
: impl(std::make_unique<DatabaseIcebergSettingsImpl>(std::move(*settings.impl)))
{
}
DatabaseIcebergSettings::~DatabaseIcebergSettings() = default;
DATABASE_ICEBERG_SETTINGS_SUPPORTED_TYPES(DatabaseIcebergSettings, IMPLEMENT_SETTING_SUBSCRIPT_OPERATOR)
void DatabaseIcebergSettings::applyChanges(const SettingsChanges & changes)
{
impl->applyChanges(changes);
}
void DatabaseIcebergSettings::loadFromQuery(const ASTStorage & storage_def)
{
if (storage_def.settings)
{
try
{
impl->applyChanges(storage_def.settings->changes);
}
catch (Exception & e)
{
if (e.code() == ErrorCodes::UNKNOWN_SETTING)
e.addMessage("for database engine " + storage_def.engine->name);
throw;
}
}
}
}

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#pragma once
#include <Core/BaseSettingsFwdMacros.h>
#include <Core/FormatFactorySettings.h>
#include <Core/SettingsEnums.h>
#include <Core/SettingsFields.h>
namespace DB
{
class ASTStorage;
struct DatabaseIcebergSettingsImpl;
class SettingsChanges;
/// List of available types supported in DatabaseIcebergSettings object
#define DATABASE_ICEBERG_SETTINGS_SUPPORTED_TYPES(CLASS_NAME, M) \
M(CLASS_NAME, String) \
M(CLASS_NAME, UInt64) \
M(CLASS_NAME, DatabaseIcebergCatalogType) \
M(CLASS_NAME, DatabaseIcebergStorageType)
DATABASE_ICEBERG_SETTINGS_SUPPORTED_TYPES(DatabaseIcebergSettings, DECLARE_SETTING_TRAIT)
struct DatabaseIcebergSettings
{
DatabaseIcebergSettings();
DatabaseIcebergSettings(const DatabaseIcebergSettings & settings);
DatabaseIcebergSettings(DatabaseIcebergSettings && settings) noexcept;
~DatabaseIcebergSettings();
DATABASE_ICEBERG_SETTINGS_SUPPORTED_TYPES(DatabaseIcebergSettings, DECLARE_SETTING_SUBSCRIPT_OPERATOR)
void loadFromQuery(const ASTStorage & storage_def);
void applyChanges(const SettingsChanges & changes);
private:
std::unique_ptr<DatabaseIcebergSettingsImpl> impl;
};
}

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#include <Databases/Iceberg/ICatalog.h>
#include <Common/Exception.h>
#include <Common/logger_useful.h>
#include <Poco/String.h>
namespace DB::ErrorCodes
{
extern const int NOT_IMPLEMENTED;
extern const int LOGICAL_ERROR;
}
namespace Iceberg
{
void TableMetadata::setLocation(const std::string & location_)
{
if (!with_location)
throw DB::Exception(DB::ErrorCodes::LOGICAL_ERROR, "Data location was not requested");
/// Location has format:
/// s3://<bucket>/path/to/table/data.
/// We want to split s3://<bucket> and path/to/table/data.
auto pos = location_.find("://");
if (pos == std::string::npos)
throw DB::Exception(DB::ErrorCodes::NOT_IMPLEMENTED, "Unexpected location format: {}", location_);
auto pos_to_bucket = pos + std::strlen("://");
auto pos_to_path = location_.substr(pos_to_bucket).find('/');
if (pos_to_path == std::string::npos)
throw DB::Exception(DB::ErrorCodes::NOT_IMPLEMENTED, "Unexpected location format: {}", location_);
pos_to_path = pos_to_bucket + pos_to_path;
location_without_path = location_.substr(0, pos_to_path);
path = location_.substr(pos_to_path + 1);
LOG_TEST(getLogger("TableMetadata"),
"Parsed location without path: {}, path: {}",
location_without_path, path);
}
std::string TableMetadata::getLocation(bool path_only) const
{
if (!with_location)
throw DB::Exception(DB::ErrorCodes::LOGICAL_ERROR, "Data location was not requested");
if (path_only)
return path;
else
return std::filesystem::path(location_without_path) / path;
}
void TableMetadata::setSchema(const DB::NamesAndTypesList & schema_)
{
if (!with_schema)
throw DB::Exception(DB::ErrorCodes::LOGICAL_ERROR, "Data schema was not requested");
schema = schema_;
}
const DB::NamesAndTypesList & TableMetadata::getSchema() const
{
if (!with_schema)
throw DB::Exception(DB::ErrorCodes::LOGICAL_ERROR, "Data schema was not requested");
return schema;
}
StorageType ICatalog::getStorageType(const std::string & location)
{
auto pos = location.find("://");
if (pos == std::string::npos)
throw DB::Exception(DB::ErrorCodes::NOT_IMPLEMENTED, "Unexpected path format: {}", location);
auto storage_type_str = location.substr(0, pos);
auto storage_type = magic_enum::enum_cast<StorageType>(Poco::toUpper(storage_type_str));
if (!storage_type)
throw DB::Exception(DB::ErrorCodes::NOT_IMPLEMENTED, "Unsupported storage type: {}", storage_type_str);
return *storage_type;
}
}

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#pragma once
#include <Core/Types.h>
#include <Core/NamesAndTypes.h>
#include <Core/SettingsEnums.h>
namespace Iceberg
{
using StorageType = DB::DatabaseIcebergStorageType;
class TableMetadata
{
public:
TableMetadata() = default;
TableMetadata & withLocation() { with_location = true; return *this; }
TableMetadata & withSchema() { with_schema = true; return *this; }
std::string getLocation(bool path_only) const;
std::string getLocation() const;
std::string getLocationWithoutPath() const;
const DB::NamesAndTypesList & getSchema() const;
bool requiresLocation() const { return with_location; }
bool requiresSchema() const { return with_schema; }
void setLocation(const std::string & location_);
void setSchema(const DB::NamesAndTypesList & schema_);
private:
/// starts with s3://, file://, etc
std::string location_without_path;
std::string path;
/// column names and types
DB::NamesAndTypesList schema;
bool with_location = false;
bool with_schema = false;
};
class ICatalog
{
public:
using Namespaces = std::vector<std::string>;
using Tables = std::vector<std::string>;
explicit ICatalog(const std::string & warehouse_) : warehouse(warehouse_) {}
virtual ~ICatalog() = default;
virtual bool empty() const = 0;
virtual Tables getTables() const = 0;
virtual bool existsTable(
const std::string & namespace_naem,
const std::string & table_name) const = 0;
virtual void getTableMetadata(
const std::string & namespace_name,
const std::string & table_name,
TableMetadata & result) const = 0;
virtual bool tryGetTableMetadata(
const std::string & namespace_name,
const std::string & table_name,
TableMetadata & result) const = 0;
virtual std::optional<StorageType> getStorageType() const = 0;
protected:
const std::string warehouse;
static StorageType getStorageType(const std::string & location);
};
}

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#include <Databases/Iceberg/RestCatalog.h>
#include <base/find_symbols.h>
#include <Common/escapeForFileName.h>
#include <Common/threadPoolCallbackRunner.h>
#include <Common/Base64.h>
#include <IO/ConnectionTimeouts.h>
#include <IO/HTTPCommon.h>
#include <IO/ReadBuffer.h>
#include <Interpreters/Context.h>
#include <Storages/ObjectStorage/DataLakes/IcebergMetadata.h>
#include <Server/HTTP/HTMLForm.h>
#include <Formats/FormatFactory.h>
#include <Poco/URI.h>
#include <Poco/JSON/Array.h>
#include <Poco/JSON/Parser.h>
namespace DB::ErrorCodes
{
extern const int ICEBERG_CATALOG_ERROR;
extern const int LOGICAL_ERROR;
extern const int BAD_ARGUMENTS;
}
namespace CurrentMetrics
{
extern const Metric IcebergCatalogThreads;
extern const Metric IcebergCatalogThreadsActive;
extern const Metric IcebergCatalogThreadsScheduled;
}
namespace Iceberg
{
static constexpr auto config_endpoint = "config";
static constexpr auto namespaces_endpoint = "namespaces";
namespace
{
std::pair<std::string, std::string> parseCatalogCredential(const std::string & catalog_credential)
{
/// Parse a string of format "<client_id>:<client_secret>"
/// into separare strings client_id and client_secret.
std::string client_id, client_secret;
if (!catalog_credential.empty())
{
auto pos = catalog_credential.find(':');
if (pos == std::string::npos)
{
throw DB::Exception(
DB::ErrorCodes::BAD_ARGUMENTS, "Unexpected format of catalog credential: "
"expected client_id and client_secret separated by `:`");
}
client_id = catalog_credential.substr(0, pos);
client_secret = catalog_credential.substr(pos + 1);
}
return std::pair(client_id, client_secret);
}
DB::HTTPHeaderEntry parseAuthHeader(const std::string & auth_header)
{
/// Parse a string of format "Authorization: <auth_scheme> <auth_token>"
/// into a key-value header "Authorization", "<auth_scheme> <auth_token>"
auto pos = auth_header.find(':');
if (pos == std::string::npos)
throw DB::Exception(DB::ErrorCodes::BAD_ARGUMENTS, "Unexpected format of auth header");
return DB::HTTPHeaderEntry(auth_header.substr(0, pos), auth_header.substr(pos + 1));
}
}
std::string RestCatalog::Config::toString() const
{
DB::WriteBufferFromOwnString wb;
if (!prefix.empty())
wb << "prefix: " << prefix.string() << ", ";
if (!default_base_location.empty())
wb << "default_base_location: " << default_base_location << ", ";
return wb.str();
}
RestCatalog::RestCatalog(
const std::string & warehouse_,
const std::string & base_url_,
const std::string & catalog_credential_,
const std::string & auth_header_,
DB::ContextPtr context_)
: ICatalog(warehouse_)
, DB::WithContext(context_)
, base_url(base_url_)
, log(getLogger("RestCatalog(" + warehouse_ + ")"))
{
if (!catalog_credential_.empty())
std::tie(client_id, client_secret) = parseCatalogCredential(catalog_credential_);
else if (!auth_header_.empty())
auth_header = parseAuthHeader(auth_header_);
config = loadConfig();
}
RestCatalog::Config RestCatalog::loadConfig()
{
Poco::URI::QueryParameters params = {{"warehouse", warehouse}};
auto buf = createReadBuffer(config_endpoint, params);
std::string json_str;
readJSONObjectPossiblyInvalid(json_str, *buf);
LOG_TEST(log, "Received catalog configuration settings: {}", json_str);
Poco::JSON::Parser parser;
Poco::Dynamic::Var json = parser.parse(json_str);
const Poco::JSON::Object::Ptr & object = json.extract<Poco::JSON::Object::Ptr>();
Config result;
auto defaults_object = object->get("defaults").extract<Poco::JSON::Object::Ptr>();
parseCatalogConfigurationSettings(defaults_object, result);
auto overrides_object = object->get("overrides").extract<Poco::JSON::Object::Ptr>();
parseCatalogConfigurationSettings(overrides_object, result);
LOG_TEST(log, "Parsed catalog configuration settings: {}", result.toString());
return result;
}
void RestCatalog::parseCatalogConfigurationSettings(const Poco::JSON::Object::Ptr & object, Config & result)
{
if (!object)
return;
if (object->has("prefix"))
result.prefix = object->get("prefix").extract<String>();
if (object->has("default-base-location"))
result.default_base_location = object->get("default-base-location").extract<String>();
}
DB::HTTPHeaderEntries RestCatalog::getHeaders(bool update_token) const
{
if (auth_header.has_value())
{
return DB::HTTPHeaderEntries{auth_header.value()};
}
if (!client_id.empty())
{
if (!access_token.has_value() || update_token)
{
access_token = retrieveAccessToken();
}
DB::HTTPHeaderEntries headers;
headers.emplace_back("Authorization", "Bearer " + access_token.value());
return headers;
}
return {};
}
std::string RestCatalog::retrieveAccessToken() const
{
static constexpr auto oauth_tokens_endpoint = "oauth/tokens";
/// TODO:
/// 1. support oauth2-server-uri
/// https://github.com/apache/iceberg/blob/918f81f3c3f498f46afcea17c1ac9cdc6913cb5c/open-api/rest-catalog-open-api.yaml#L183C82-L183C99
Poco::JSON::Object json;
json.set("grant_type", "client_credentials");
json.set("scope", "PRINCIPAL_ROLE:ALL"); /// TODO: add it into setting.
json.set("client_id", client_id);
json.set("client_secret", client_secret);
DB::HTTPHeaderEntries headers;
headers.emplace_back("Content-Type", "application/x-www-form-urlencoded");
headers.emplace_back("Accepts", "application/json; charset=UTF-8");
Poco::URI url(base_url / oauth_tokens_endpoint);
Poco::URI::QueryParameters params = {
{"grant_type", "client_credentials"},
{"scope", "PRINCIPAL_ROLE:ALL"},
{"client_id", client_id},
{"client_secret", client_secret},
};
url.setQueryParameters(params);
const auto & context = getContext();
auto wb = DB::BuilderRWBufferFromHTTP(url)
.withConnectionGroup(DB::HTTPConnectionGroupType::HTTP)
.withMethod(Poco::Net::HTTPRequest::HTTP_POST)
.withSettings(context->getReadSettings())
.withTimeouts(DB::ConnectionTimeouts::getHTTPTimeouts(context->getSettingsRef(), context->getServerSettings()))
.withHostFilter(&context->getRemoteHostFilter())
.withSkipNotFound(false)
.withHeaders(headers)
.create(credentials);
std::string json_str;
readJSONObjectPossiblyInvalid(json_str, *wb);
Poco::JSON::Parser parser;
Poco::Dynamic::Var res_json = parser.parse(json_str);
const Poco::JSON::Object::Ptr & object = res_json.extract<Poco::JSON::Object::Ptr>();
return object->get("access_token").extract<String>();
}
std::optional<StorageType> RestCatalog::getStorageType() const
{
if (config.default_base_location.empty())
return std::nullopt;
return ICatalog::getStorageType(config.default_base_location);
}
DB::ReadWriteBufferFromHTTPPtr RestCatalog::createReadBuffer(
const std::string & endpoint,
const Poco::URI::QueryParameters & params) const
{
const auto & context = getContext();
Poco::URI url(base_url / endpoint);
if (!params.empty())
url.setQueryParameters(params);
auto headers = getHeaders(false);
LOG_TEST(log, "Requesting: {}", url.toString());
try
{
return DB::BuilderRWBufferFromHTTP(url)
.withConnectionGroup(DB::HTTPConnectionGroupType::HTTP)
.withSettings(getContext()->getReadSettings())
.withTimeouts(DB::ConnectionTimeouts::getHTTPTimeouts(context->getSettingsRef(), context->getServerSettings()))
.withHeaders(headers)
.withHostFilter(&getContext()->getRemoteHostFilter())
.withDelayInit(false)
.withSkipNotFound(false)
.create(credentials);
}
catch (...)
{
auto new_headers = getHeaders(true);
return DB::BuilderRWBufferFromHTTP(url)
.withConnectionGroup(DB::HTTPConnectionGroupType::HTTP)
.withSettings(getContext()->getReadSettings())
.withTimeouts(DB::ConnectionTimeouts::getHTTPTimeouts(context->getSettingsRef(), context->getServerSettings()))
.withHeaders(new_headers)
.withHostFilter(&getContext()->getRemoteHostFilter())
.withDelayInit(false)
.withSkipNotFound(false)
.create(credentials);
}
}
bool RestCatalog::empty() const
{
try
{
bool found_table = false;
auto stop_condition = [&](const std::string & namespace_name) -> bool
{
const auto tables = getTables(namespace_name, /* limit */1);
found_table = !tables.empty();
return found_table;
};
Namespaces namespaces;
getNamespacesRecursive("", namespaces, stop_condition, {});
return found_table;
}
catch (...)
{
DB::tryLogCurrentException(log);
return true;
}
}
RestCatalog::Tables RestCatalog::getTables() const
{
size_t num_threads = 10;
ThreadPool pool(
CurrentMetrics::IcebergCatalogThreads,
CurrentMetrics::IcebergCatalogThreadsActive,
CurrentMetrics::IcebergCatalogThreadsScheduled,
num_threads);
DB::ThreadPoolCallbackRunnerLocal<void> runner(pool, "RestCatalog");
Tables tables;
std::mutex mutex;
auto func = [&](const std::string & current_namespace)
{
runner(
[&]{
auto tables_in_namespace = getTables(current_namespace);
{
std::lock_guard lock(mutex);
std::move(tables_in_namespace.begin(), tables_in_namespace.end(), std::back_inserter(tables));
}
});
};
Namespaces namespaces;
getNamespacesRecursive("", namespaces, {}, func);
runner.waitForAllToFinishAndRethrowFirstError();
return tables;
}
void RestCatalog::getNamespacesRecursive(
const std::string & base_namespace,
Namespaces & result,
StopCondition stop_condition,
ExecuteFunc func) const
{
auto namespaces = getNamespaces(base_namespace);
result.reserve(result.size() + namespaces.size());
result.insert(result.end(), namespaces.begin(), namespaces.end());
for (const auto & current_namespace : namespaces)
{
chassert(current_namespace.starts_with(base_namespace));
if (stop_condition && stop_condition(current_namespace))
break;
if (func)
func(current_namespace);
getNamespacesRecursive(current_namespace, result, stop_condition, func);
}
}
Poco::URI::QueryParameters RestCatalog::createParentNamespaceParams(const std::string & base_namespace) const
{
std::vector<std::string> parts;
splitInto<'.'>(parts, base_namespace);
std::string parent_param;
for (const auto & part : parts)
{
if (!parent_param.empty())
parent_param += static_cast<char>(0x1F);
parent_param += part;
}
return {{"parent", parent_param}};
}
RestCatalog::Namespaces RestCatalog::getNamespaces(const std::string & base_namespace) const
{
Poco::URI::QueryParameters params;
if (!base_namespace.empty())
params = createParentNamespaceParams(base_namespace);
try
{
auto buf = createReadBuffer(config.prefix / namespaces_endpoint, params);
auto namespaces = parseNamespaces(*buf, base_namespace);
LOG_TEST(log, "Loaded {} namespaces", namespaces.size());
return namespaces;
}
catch (const DB::HTTPException & e)
{
std::string message = fmt::format(
"Received error while fetching list of namespaces from iceberg catalog `{}`. ",
warehouse);
if (e.code() == Poco::Net::HTTPResponse::HTTPStatus::HTTP_NOT_FOUND)
message += "Namespace provided in the `parent` query parameter is not found. ";
message += fmt::format(
"Code: {}, status: {}, message: {}",
e.code(), e.getHTTPStatus(), e.displayText());
throw DB::Exception(DB::ErrorCodes::ICEBERG_CATALOG_ERROR, "{}", message);
}
}
RestCatalog::Namespaces RestCatalog::parseNamespaces(DB::ReadBuffer & buf, const std::string & base_namespace) const
{
if (buf.eof())
return {};
String json_str;
readJSONObjectPossiblyInvalid(json_str, buf);
LOG_TEST(log, "Received response: {}", json_str);
Poco::JSON::Parser parser;
Poco::Dynamic::Var json = parser.parse(json_str);
const Poco::JSON::Object::Ptr & object = json.extract<Poco::JSON::Object::Ptr>();
auto namespaces_object = object->get("namespaces").extract<Poco::JSON::Array::Ptr>();
if (!namespaces_object)
throw DB::Exception(DB::ErrorCodes::LOGICAL_ERROR, "Cannot parse result");
Namespaces namespaces;
for (size_t i = 0; i < namespaces_object->size(); ++i)
{
auto current_namespace_array = namespaces_object->get(static_cast<int>(i)).extract<Poco::JSON::Array::Ptr>();
if (current_namespace_array->size() == 0)
throw DB::Exception(DB::ErrorCodes::LOGICAL_ERROR, "Expected namespace array to be non-empty");
const int idx = static_cast<int>(current_namespace_array->size()) - 1;
const auto current_namespace = current_namespace_array->get(idx).extract<String>();
const auto full_namespace = base_namespace.empty()
? current_namespace
: base_namespace + "." + current_namespace;
namespaces.push_back(full_namespace);
}
return namespaces;
}
RestCatalog::Tables RestCatalog::getTables(const std::string & base_namespace, size_t limit) const
{
const auto endpoint = std::string(namespaces_endpoint) + "/" + base_namespace + "/tables";
auto buf = createReadBuffer(config.prefix / endpoint);
return parseTables(*buf, base_namespace, limit);
}
RestCatalog::Tables RestCatalog::parseTables(DB::ReadBuffer & buf, const std::string & base_namespace, size_t limit) const
{
if (buf.eof())
return {};
String json_str;
readJSONObjectPossiblyInvalid(json_str, buf);
Poco::JSON::Parser parser;
Poco::Dynamic::Var json = parser.parse(json_str);
const Poco::JSON::Object::Ptr & object = json.extract<Poco::JSON::Object::Ptr>();
auto identifiers_object = object->get("identifiers").extract<Poco::JSON::Array::Ptr>();
if (!identifiers_object)
throw DB::Exception(DB::ErrorCodes::LOGICAL_ERROR, "Cannot parse result");
Tables tables;
for (size_t i = 0; i < identifiers_object->size(); ++i)
{
const auto current_table_json = identifiers_object->get(static_cast<int>(i)).extract<Poco::JSON::Object::Ptr>();
const auto table_name = current_table_json->get("name").extract<String>();
tables.push_back(base_namespace + "." + table_name);
if (limit && tables.size() >= limit)
break;
}
return tables;
}
bool RestCatalog::existsTable(const std::string & namespace_name, const std::string & table_name) const
{
TableMetadata table_metadata;
return tryGetTableMetadata(namespace_name, table_name, table_metadata);
}
bool RestCatalog::tryGetTableMetadata(
const std::string & namespace_name,
const std::string & table_name,
TableMetadata & result) const
{
try
{
return getTableMetadataImpl(namespace_name, table_name, result);
}
catch (...)
{
DB::tryLogCurrentException(log);
return false;
}
}
void RestCatalog::getTableMetadata(
const std::string & namespace_name,
const std::string & table_name,
TableMetadata & result) const
{
if (!getTableMetadataImpl(namespace_name, table_name, result))
throw DB::Exception(DB::ErrorCodes::ICEBERG_CATALOG_ERROR, "No response from iceberg catalog");
}
bool RestCatalog::getTableMetadataImpl(
const std::string & namespace_name,
const std::string & table_name,
TableMetadata & result) const
{
LOG_TEST(log, "Checking table {} in namespace {}", table_name, namespace_name);
const auto endpoint = std::string(namespaces_endpoint) + "/" + namespace_name + "/tables/" + table_name;
auto buf = createReadBuffer(config.prefix / endpoint);
if (buf->eof())
{
LOG_TEST(log, "Table doesn't exist (endpoint: {})", endpoint);
return false;
}
String json_str;
readJSONObjectPossiblyInvalid(json_str, *buf);
LOG_TEST(log, "Received metadata for table {}: {}", table_name, json_str);
Poco::JSON::Parser parser;
Poco::Dynamic::Var json = parser.parse(json_str);
const Poco::JSON::Object::Ptr & object = json.extract<Poco::JSON::Object::Ptr>();
auto metadata_object = object->get("metadata").extract<Poco::JSON::Object::Ptr>();
if (!metadata_object)
throw DB::Exception(DB::ErrorCodes::LOGICAL_ERROR, "Cannot parse result");
if (result.requiresLocation())
{
const auto location = metadata_object->get("location").extract<String>();
result.setLocation(location);
LOG_TEST(log, "Location for table {}: {}", table_name, location);
}
if (result.requiresSchema())
{
int format_version = metadata_object->getValue<int>("format-version");
result.setSchema(DB::IcebergMetadata::parseTableSchema(metadata_object, format_version, true).first);
}
return true;
}
}

View File

@ -0,0 +1,111 @@
#pragma once
#include <Databases/Iceberg/ICatalog.h>
#include <Poco/Net/HTTPBasicCredentials.h>
#include <IO/ReadWriteBufferFromHTTP.h>
#include <IO/HTTPHeaderEntries.h>
#include <Interpreters/Context_fwd.h>
#include <filesystem>
#include <Poco/JSON/Object.h>
namespace DB
{
class ReadBuffer;
}
namespace Iceberg
{
class RestCatalog final : public ICatalog, private DB::WithContext
{
public:
explicit RestCatalog(
const std::string & warehouse_,
const std::string & base_url_,
const std::string & catalog_credential_,
const std::string & auth_header_,
DB::ContextPtr context_);
~RestCatalog() override = default;
bool empty() const override;
Tables getTables() const override;
bool existsTable(const std::string & namespace_name, const std::string & table_name) const override;
void getTableMetadata(
const std::string & namespace_name,
const std::string & table_name,
TableMetadata & result) const override;
bool tryGetTableMetadata(
const std::string & namespace_name,
const std::string & table_name,
TableMetadata & result) const override;
std::optional<StorageType> getStorageType() const override;
private:
struct Config
{
/// Prefix is a path of the catalog endpoint,
/// e.g. /v1/{prefix}/namespaces/{namespace}/tables/{table}
std::filesystem::path prefix;
/// Base location is location of data in storage
/// (in filesystem or object storage).
std::string default_base_location;
std::string toString() const;
};
const std::filesystem::path base_url;
const LoggerPtr log;
/// Catalog configuration settings from /v1/config endpoint.
Config config;
/// Auth headers of format: "Authorization": "<auth_scheme> <token>"
std::optional<DB::HTTPHeaderEntry> auth_header;
/// Parameters for OAuth.
std::string client_id;
std::string client_secret;
mutable std::optional<std::string> access_token;
Poco::Net::HTTPBasicCredentials credentials{};
DB::ReadWriteBufferFromHTTPPtr createReadBuffer(
const std::string & endpoint,
const Poco::URI::QueryParameters & params = {}) const;
Poco::URI::QueryParameters createParentNamespaceParams(const std::string & base_namespace) const;
using StopCondition = std::function<bool(const std::string & namespace_name)>;
using ExecuteFunc = std::function<void(const std::string & namespace_name)>;
void getNamespacesRecursive(
const std::string & base_namespace,
Namespaces & result,
StopCondition stop_condition,
ExecuteFunc func) const;
Namespaces getNamespaces(const std::string & base_namespace) const;
Namespaces parseNamespaces(DB::ReadBuffer & buf, const std::string & base_namespace) const;
Tables getTables(const std::string & base_namespace, size_t limit = 0) const;
Tables parseTables(DB::ReadBuffer & buf, const std::string & base_namespace, size_t limit) const;
bool getTableMetadataImpl(
const std::string & namespace_name,
const std::string & table_name,
TableMetadata & result) const;
Config loadConfig();
std::string retrieveAccessToken() const;
DB::HTTPHeaderEntries getHeaders(bool update_token = false) const;
static void parseCatalogConfigurationSettings(const Poco::JSON::Object::Ptr & object, Config & result);
};
}

View File

@ -36,6 +36,10 @@ void registerDatabaseS3(DatabaseFactory & factory);
void registerDatabaseHDFS(DatabaseFactory & factory);
#endif
#if USE_AVRO
void registerDatabaseIceberg(DatabaseFactory & factory);
#endif
void registerDatabases()
{
auto & factory = DatabaseFactory::instance();
@ -68,5 +72,9 @@ void registerDatabases()
#if USE_HDFS
registerDatabaseHDFS(factory);
#endif
#if USE_AVRO
registerDatabaseIceberg(factory);
#endif
}
}

View File

@ -237,6 +237,7 @@ bool IParserColumnDeclaration<NameParser>::parseImpl(Pos & pos, ASTPtr & node, E
null_modifier.emplace(true);
}
bool is_comment = false;
/// Collate is also allowed after NULL/NOT NULL
if (!collation_expression && s_collate.ignore(pos, expected)
&& !collation_parser.parse(pos, collation_expression, expected))
@ -254,7 +255,9 @@ bool IParserColumnDeclaration<NameParser>::parseImpl(Pos & pos, ASTPtr & node, E
else if (s_ephemeral.ignore(pos, expected))
{
default_specifier = s_ephemeral.getName();
if (!expr_parser.parse(pos, default_expression, expected) && type)
if (s_comment.ignore(pos, expected))
is_comment = true;
if ((is_comment || !expr_parser.parse(pos, default_expression, expected)) && type)
{
ephemeral_default = true;
@ -289,19 +292,22 @@ bool IParserColumnDeclaration<NameParser>::parseImpl(Pos & pos, ASTPtr & node, E
if (require_type && !type && !default_expression)
return false; /// reject column name without type
if ((type || default_expression) && allow_null_modifiers && !null_modifier.has_value())
if (!is_comment)
{
if (s_not.ignore(pos, expected))
if ((type || default_expression) && allow_null_modifiers && !null_modifier.has_value())
{
if (!s_null.ignore(pos, expected))
return false;
null_modifier.emplace(false);
if (s_not.ignore(pos, expected))
{
if (!s_null.ignore(pos, expected))
return false;
null_modifier.emplace(false);
}
else if (s_null.ignore(pos, expected))
null_modifier.emplace(true);
}
else if (s_null.ignore(pos, expected))
null_modifier.emplace(true);
}
if (s_comment.ignore(pos, expected))
if (is_comment || s_comment.ignore(pos, expected))
{
/// should be followed by a string literal
if (!string_literal_parser.parse(pos, comment_expression, expected))

View File

@ -70,9 +70,6 @@ IcebergMetadata::IcebergMetadata(
{
}
namespace
{
enum class ManifestEntryStatus : uint8_t
{
EXISTING = 0,
@ -248,7 +245,7 @@ DataTypePtr getFieldType(const Poco::JSON::Object::Ptr & field, const String & t
}
std::pair<NamesAndTypesList, Int32> parseTableSchema(const Poco::JSON::Object::Ptr & metadata_object, int format_version, bool ignore_schema_evolution)
std::pair<NamesAndTypesList, Int32> IcebergMetadata::parseTableSchema(const Poco::JSON::Object::Ptr & metadata_object, int format_version, bool ignore_schema_evolution)
{
Poco::JSON::Object::Ptr schema;
Int32 current_schema_id;
@ -313,9 +310,9 @@ std::pair<NamesAndTypesList, Int32> parseTableSchema(const Poco::JSON::Object::P
for (size_t i = 0; i != fields->size(); ++i)
{
auto field = fields->getObject(static_cast<UInt32>(i));
auto name = field->getValue<String>("name");
auto column_name = field->getValue<String>("name");
bool required = field->getValue<bool>("required");
names_and_types.push_back({name, getFieldType(field, "type", required)});
names_and_types.push_back({column_name, getFieldType(field, "type", required)});
}
return {std::move(names_and_types), current_schema_id};
@ -380,8 +377,6 @@ std::pair<Int32, String> getMetadataFileAndVersion(
return *std::max_element(metadata_files_with_versions.begin(), metadata_files_with_versions.end());
}
}
DataLakeMetadataPtr
IcebergMetadata::create(ObjectStoragePtr object_storage, ConfigurationObserverPtr configuration, ContextPtr local_context)
{

View File

@ -96,6 +96,11 @@ public:
static DataLakeMetadataPtr create(ObjectStoragePtr object_storage, ConfigurationObserverPtr configuration, ContextPtr local_context);
static std::pair<NamesAndTypesList, Int32> parseTableSchema(
const Poco::JSON::Object::Ptr & metadata_object,
int format_version,
bool ignore_schema_evolution);
private:
size_t getVersion() const { return metadata_version; }

View File

@ -84,7 +84,8 @@ StorageObjectStorage::StorageObjectStorage(
std::optional<FormatSettings> format_settings_,
LoadingStrictnessLevel mode,
bool distributed_processing_,
ASTPtr partition_by_)
ASTPtr partition_by_,
bool lazy_init)
: IStorage(table_id_)
, configuration(configuration_)
, object_storage(object_storage_)
@ -95,7 +96,8 @@ StorageObjectStorage::StorageObjectStorage(
{
try
{
configuration->update(object_storage, context);
if (!lazy_init)
configuration->update(object_storage, context);
}
catch (...)
{

View File

@ -59,7 +59,8 @@ public:
std::optional<FormatSettings> format_settings_,
LoadingStrictnessLevel mode,
bool distributed_processing_ = false,
ASTPtr partition_by_ = nullptr);
ASTPtr partition_by_ = nullptr,
bool lazy_init = false);
String getName() const override;

View File

@ -226,6 +226,26 @@ template class TableFunctionObjectStorage<HDFSClusterDefinition, StorageHDFSConf
#endif
template class TableFunctionObjectStorage<LocalDefinition, StorageLocalConfiguration>;
#if USE_AVRO && USE_AWS_S3
template class TableFunctionObjectStorage<IcebergS3ClusterDefinition, StorageS3IcebergConfiguration>;
#endif
#if USE_AVRO && USE_AZURE_BLOB_STORAGE
template class TableFunctionObjectStorage<IcebergAzureClusterDefinition, StorageAzureIcebergConfiguration>;
#endif
#if USE_AVRO && USE_HDFS
template class TableFunctionObjectStorage<IcebergHDFSClusterDefinition, StorageHDFSIcebergConfiguration>;
#endif
#if USE_PARQUET && USE_AWS_S3
template class TableFunctionObjectStorage<DeltaLakeClusterDefinition, StorageS3DeltaLakeConfiguration>;
#endif
#if USE_AWS_S3
template class TableFunctionObjectStorage<HudiClusterDefinition, StorageS3HudiConfiguration>;
#endif
#if USE_AVRO
void registerTableFunctionIceberg(TableFunctionFactory & factory)
{

View File

@ -96,7 +96,7 @@ void registerTableFunctionObjectStorageCluster(TableFunctionFactory & factory)
{
.documentation = {
.description=R"(The table function can be used to read the data stored on HDFS in parallel for many nodes in a specified cluster.)",
.examples{{"HDFSCluster", "SELECT * FROM HDFSCluster(cluster_name, uri, format)", ""}}},
.examples{{"HDFSCluster", "SELECT * FROM HDFSCluster(cluster, uri, format)", ""}}},
.allow_readonly = false
}
);
@ -105,15 +105,77 @@ void registerTableFunctionObjectStorageCluster(TableFunctionFactory & factory)
UNUSED(factory);
}
#if USE_AVRO
void registerTableFunctionIcebergCluster(TableFunctionFactory & factory)
{
UNUSED(factory);
#if USE_AWS_S3
template class TableFunctionObjectStorageCluster<S3ClusterDefinition, StorageS3Configuration>;
factory.registerFunction<TableFunctionIcebergS3Cluster>(
{.documentation
= {.description = R"(The table function can be used to read the Iceberg table stored on S3 object store in parallel for many nodes in a specified cluster.)",
.examples{{"icebergS3Cluster", "SELECT * FROM icebergS3Cluster(cluster, url, [, NOSIGN | access_key_id, secret_access_key, [session_token]], format, [,compression])", ""}},
.categories{"DataLake"}},
.allow_readonly = false});
#endif
#if USE_AZURE_BLOB_STORAGE
template class TableFunctionObjectStorageCluster<AzureClusterDefinition, StorageAzureConfiguration>;
factory.registerFunction<TableFunctionIcebergAzureCluster>(
{.documentation
= {.description = R"(The table function can be used to read the Iceberg table stored on Azure object store in parallel for many nodes in a specified cluster.)",
.examples{{"icebergAzureCluster", "SELECT * FROM icebergAzureCluster(cluster, connection_string|storage_account_url, container_name, blobpath, [account_name, account_key, format, compression])", ""}},
.categories{"DataLake"}},
.allow_readonly = false});
#endif
#if USE_HDFS
template class TableFunctionObjectStorageCluster<HDFSClusterDefinition, StorageHDFSConfiguration>;
factory.registerFunction<TableFunctionIcebergHDFSCluster>(
{.documentation
= {.description = R"(The table function can be used to read the Iceberg table stored on HDFS virtual filesystem in parallel for many nodes in a specified cluster.)",
.examples{{"icebergHDFSCluster", "SELECT * FROM icebergHDFSCluster(cluster, uri, [format], [structure], [compression_method])", ""}},
.categories{"DataLake"}},
.allow_readonly = false});
#endif
}
#endif
#if USE_AWS_S3
#if USE_PARQUET
void registerTableFunctionDeltaLakeCluster(TableFunctionFactory & factory)
{
factory.registerFunction<TableFunctionDeltaLakeCluster>(
{.documentation
= {.description = R"(The table function can be used to read the DeltaLake table stored on object store in parallel for many nodes in a specified cluster.)",
.examples{{"deltaLakeCluster", "SELECT * FROM deltaLakeCluster(cluster, url, access_key_id, secret_access_key)", ""}},
.categories{"DataLake"}},
.allow_readonly = false});
}
#endif
void registerTableFunctionHudiCluster(TableFunctionFactory & factory)
{
factory.registerFunction<TableFunctionHudiCluster>(
{.documentation
= {.description = R"(The table function can be used to read the Hudi table stored on object store in parallel for many nodes in a specified cluster.)",
.examples{{"hudiCluster", "SELECT * FROM hudiCluster(cluster, url, access_key_id, secret_access_key)", ""}},
.categories{"DataLake"}},
.allow_readonly = false});
}
#endif
void registerDataLakeClusterTableFunctions(TableFunctionFactory & factory)
{
UNUSED(factory);
#if USE_AVRO
registerTableFunctionIcebergCluster(factory);
#endif
#if USE_AWS_S3
#if USE_PARQUET
registerTableFunctionDeltaLakeCluster(factory);
#endif
registerTableFunctionHudiCluster(factory);
#endif
}
}

View File

@ -33,6 +33,36 @@ struct HDFSClusterDefinition
static constexpr auto storage_type_name = "HDFSCluster";
};
struct IcebergS3ClusterDefinition
{
static constexpr auto name = "icebergS3Cluster";
static constexpr auto storage_type_name = "IcebergS3Cluster";
};
struct IcebergAzureClusterDefinition
{
static constexpr auto name = "icebergAzureCluster";
static constexpr auto storage_type_name = "IcebergAzureCluster";
};
struct IcebergHDFSClusterDefinition
{
static constexpr auto name = "icebergHDFSCluster";
static constexpr auto storage_type_name = "IcebergHDFSCluster";
};
struct DeltaLakeClusterDefinition
{
static constexpr auto name = "deltaLakeCluster";
static constexpr auto storage_type_name = "DeltaLakeS3Cluster";
};
struct HudiClusterDefinition
{
static constexpr auto name = "hudiCluster";
static constexpr auto storage_type_name = "HudiS3Cluster";
};
/**
* Class implementing s3/hdfs/azureBlobStorageCluster(...) table functions,
* which allow to process many files from S3/HDFS/Azure blob storage on a specific cluster.
@ -79,4 +109,25 @@ using TableFunctionAzureBlobCluster = TableFunctionObjectStorageCluster<AzureClu
#if USE_HDFS
using TableFunctionHDFSCluster = TableFunctionObjectStorageCluster<HDFSClusterDefinition, StorageHDFSConfiguration>;
#endif
#if USE_AVRO && USE_AWS_S3
using TableFunctionIcebergS3Cluster = TableFunctionObjectStorageCluster<IcebergS3ClusterDefinition, StorageS3IcebergConfiguration>;
#endif
#if USE_AVRO && USE_AZURE_BLOB_STORAGE
using TableFunctionIcebergAzureCluster = TableFunctionObjectStorageCluster<IcebergAzureClusterDefinition, StorageAzureIcebergConfiguration>;
#endif
#if USE_AVRO && USE_HDFS
using TableFunctionIcebergHDFSCluster = TableFunctionObjectStorageCluster<IcebergHDFSClusterDefinition, StorageHDFSIcebergConfiguration>;
#endif
#if USE_AWS_S3 && USE_PARQUET
using TableFunctionDeltaLakeCluster = TableFunctionObjectStorageCluster<DeltaLakeClusterDefinition, StorageS3DeltaLakeConfiguration>;
#endif
#if USE_AWS_S3
using TableFunctionHudiCluster = TableFunctionObjectStorageCluster<HudiClusterDefinition, StorageS3HudiConfiguration>;
#endif
}

View File

@ -66,6 +66,7 @@ void registerTableFunctions(bool use_legacy_mongodb_integration [[maybe_unused]]
registerTableFunctionObjectStorage(factory);
registerTableFunctionObjectStorageCluster(factory);
registerDataLakeTableFunctions(factory);
registerDataLakeClusterTableFunctions(factory);
}
}

View File

@ -70,6 +70,7 @@ void registerTableFunctionExplain(TableFunctionFactory & factory);
void registerTableFunctionObjectStorage(TableFunctionFactory & factory);
void registerTableFunctionObjectStorageCluster(TableFunctionFactory & factory);
void registerDataLakeTableFunctions(TableFunctionFactory & factory);
void registerDataLakeClusterTableFunctions(TableFunctionFactory & factory);
void registerTableFunctionTimeSeries(TableFunctionFactory & factory);

View File

@ -299,8 +299,6 @@ class TagAttrs:
# Only one latest can exist
latest: ClickHouseVersion
# Only one can be a major one (the most fresh per a year)
majors: Dict[int, ClickHouseVersion]
# Only one lts version can exist
lts: Optional[ClickHouseVersion]
@ -345,14 +343,6 @@ def ldf_tags(version: ClickHouseVersion, distro: str, tag_attrs: TagAttrs) -> st
tags.append("lts")
tags.append(f"lts-{distro}")
# If the tag `22`, `23`, `24` etc. should be included in the tags
with_major = tag_attrs.majors.get(version.major) in (None, version)
if with_major:
tag_attrs.majors[version.major] = version
if without_distro:
tags.append(f"{version.major}")
tags.append(f"{version.major}-{distro}")
# Add all normal tags
for tag in (
f"{version.major}.{version.minor}",
@ -384,7 +374,7 @@ def generate_ldf(args: argparse.Namespace) -> None:
args.directory / git_runner(f"git -C {args.directory} rev-parse --show-cdup")
).absolute()
lines = ldf_header(git, directory)
tag_attrs = TagAttrs(versions[-1], {}, None)
tag_attrs = TagAttrs(versions[-1], None)
# We iterate from the most recent to the oldest version
for version in reversed(versions):

View File

@ -0,0 +1,59 @@
services:
spark-iceberg:
image: tabulario/spark-iceberg
container_name: spark-iceberg
build: spark/
depends_on:
- rest
- minio
environment:
- AWS_ACCESS_KEY_ID=admin
- AWS_SECRET_ACCESS_KEY=password
- AWS_REGION=us-east-1
ports:
- 8080:8080
- 10000:10000
- 10001:10001
rest:
image: tabulario/iceberg-rest
ports:
- 8182:8181
environment:
- AWS_ACCESS_KEY_ID=minio
- AWS_SECRET_ACCESS_KEY=minio123
- AWS_REGION=us-east-1
- CATALOG_WAREHOUSE=s3://iceberg_data/
- CATALOG_IO__IMPL=org.apache.iceberg.aws.s3.S3FileIO
- CATALOG_S3_ENDPOINT=http://minio:9000
minio:
image: minio/minio
container_name: minio
environment:
- MINIO_ROOT_USER=minio
- MINIO_ROOT_PASSWORD=minio123
- MINIO_DOMAIN=minio
networks:
default:
aliases:
- warehouse.minio
ports:
- 9001:9001
- 9002:9000
command: ["server", "/data", "--console-address", ":9001"]
mc:
depends_on:
- minio
image: minio/mc
container_name: mc
environment:
- AWS_ACCESS_KEY_ID=minio
- AWS_SECRET_ACCESS_KEY=minio123
- AWS_REGION=us-east-1
entrypoint: >
/bin/sh -c "
until (/usr/bin/mc config host add minio http://minio:9000 minio minio123) do echo '...waiting...' && sleep 1; done;
/usr/bin/mc rm -r --force minio/warehouse;
/usr/bin/mc mb minio/warehouse --ignore-existing;
/usr/bin/mc policy set public minio/warehouse;
tail -f /dev/null
"

View File

@ -14,6 +14,10 @@ services:
depends_on:
- proxy1
- proxy2
networks:
default:
aliases:
- warehouse.minio
# HTTP proxies for Minio.
proxy1:

View File

@ -568,6 +568,7 @@ class ClickHouseCluster:
self.resolver_logs_dir = os.path.join(self.instances_dir, "resolver")
self.spark_session = None
self.with_iceberg_catalog = False
self.with_azurite = False
self.azurite_container = "azurite-container"
@ -1464,6 +1465,26 @@ class ClickHouseCluster:
)
return self.base_minio_cmd
def setup_iceberg_catalog_cmd(
self, instance, env_variables, docker_compose_yml_dir
):
self.base_cmd.extend(
[
"--file",
p.join(
docker_compose_yml_dir, "docker_compose_iceberg_rest_catalog.yml"
),
]
)
self.base_iceberg_catalog_cmd = self.compose_cmd(
"--env-file",
instance.env_file,
"--file",
p.join(docker_compose_yml_dir, "docker_compose_iceberg_rest_catalog.yml"),
)
return self.base_iceberg_catalog_cmd
# return self.base_minio_cmd
def setup_azurite_cmd(self, instance, env_variables, docker_compose_yml_dir):
self.with_azurite = True
env_variables["AZURITE_PORT"] = str(self.azurite_port)
@ -1630,6 +1651,7 @@ class ClickHouseCluster:
with_hive=False,
with_coredns=False,
with_prometheus=False,
with_iceberg_catalog=False,
handle_prometheus_remote_write=False,
handle_prometheus_remote_read=False,
use_old_analyzer=None,
@ -1733,6 +1755,7 @@ class ClickHouseCluster:
with_coredns=with_coredns,
with_cassandra=with_cassandra,
with_ldap=with_ldap,
with_iceberg_catalog=with_iceberg_catalog,
use_old_analyzer=use_old_analyzer,
server_bin_path=self.server_bin_path,
odbc_bridge_bin_path=self.odbc_bridge_bin_path,
@ -1922,6 +1945,13 @@ class ClickHouseCluster:
self.setup_minio_cmd(instance, env_variables, docker_compose_yml_dir)
)
if with_iceberg_catalog and not self.with_iceberg_catalog:
cmds.append(
self.setup_iceberg_catalog_cmd(
instance, env_variables, docker_compose_yml_dir
)
)
if with_azurite and not self.with_azurite:
cmds.append(
self.setup_azurite_cmd(instance, env_variables, docker_compose_yml_dir)
@ -3390,6 +3420,7 @@ class ClickHouseInstance:
with_coredns,
with_cassandra,
with_ldap,
with_iceberg_catalog,
use_old_analyzer,
server_bin_path,
odbc_bridge_bin_path,

View File

@ -0,0 +1,306 @@
import glob
import json
import logging
import os
import random
import time
import uuid
from datetime import datetime, timedelta
import pyarrow as pa
import pytest
import requests
import urllib3
from minio import Minio
from pyiceberg.catalog import load_catalog
from pyiceberg.partitioning import PartitionField, PartitionSpec
from pyiceberg.schema import Schema
from pyiceberg.table.sorting import SortField, SortOrder
from pyiceberg.transforms import DayTransform, IdentityTransform
from pyiceberg.types import (
DoubleType,
FloatType,
NestedField,
StringType,
StructType,
TimestampType,
)
from helpers.cluster import ClickHouseCluster, ClickHouseInstance, is_arm
from helpers.s3_tools import get_file_contents, list_s3_objects, prepare_s3_bucket
from helpers.test_tools import TSV, csv_compare
BASE_URL = "http://rest:8181/v1"
BASE_URL_LOCAL = "http://localhost:8182/v1"
BASE_URL_LOCAL_RAW = "http://localhost:8182"
CATALOG_NAME = "demo"
DEFAULT_SCHEMA = Schema(
NestedField(
field_id=1, name="datetime", field_type=TimestampType(), required=False
),
NestedField(field_id=2, name="symbol", field_type=StringType(), required=False),
NestedField(field_id=3, name="bid", field_type=DoubleType(), required=False),
NestedField(field_id=4, name="ask", field_type=DoubleType(), required=False),
NestedField(
field_id=5,
name="details",
field_type=StructType(
NestedField(
field_id=4,
name="created_by",
field_type=StringType(),
required=False,
),
),
required=False,
),
)
DEFAULT_CREATE_TABLE = "CREATE TABLE {}.`{}.{}`\\n(\\n `datetime` Nullable(DateTime64(6)),\\n `symbol` Nullable(String),\\n `bid` Nullable(Float64),\\n `ask` Nullable(Float64),\\n `details` Tuple(created_by Nullable(String))\\n)\\nENGINE = Iceberg(\\'http://minio:9000/warehouse/data/\\', \\'minio\\', \\'[HIDDEN]\\')\n"
DEFAULT_PARTITION_SPEC = PartitionSpec(
PartitionField(
source_id=1, field_id=1000, transform=DayTransform(), name="datetime_day"
)
)
DEFAULT_SORT_ORDER = SortOrder(SortField(source_id=2, transform=IdentityTransform()))
def list_namespaces():
response = requests.get(f"{BASE_URL_LOCAL}/namespaces")
if response.status_code == 200:
return response.json()
else:
raise Exception(f"Failed to list namespaces: {response.status_code}")
def load_catalog_impl(started_cluster):
return load_catalog(
CATALOG_NAME,
**{
"uri": BASE_URL_LOCAL_RAW,
"type": "rest",
"s3.endpoint": f"http://localhost:9002",
"s3.access-key-id": "minio",
"s3.secret-access-key": "minio123",
},
)
def create_table(
catalog,
namespace,
table,
schema=DEFAULT_SCHEMA,
partition_spec=DEFAULT_PARTITION_SPEC,
sort_order=DEFAULT_SORT_ORDER,
):
return catalog.create_table(
identifier=f"{namespace}.{table}",
schema=schema,
location=f"s3://warehouse/data",
partition_spec=partition_spec,
sort_order=sort_order,
)
def generate_record():
return {
"datetime": datetime.now(),
"symbol": str("kek"),
"bid": round(random.uniform(100, 200), 2),
"ask": round(random.uniform(200, 300), 2),
"details": {"created_by": "Alice Smith"},
}
def create_clickhouse_iceberg_database(started_cluster, node, name):
node.query(
f"""
DROP DATABASE IF EXISTS {name};
CREATE DATABASE {name} ENGINE = Iceberg('{BASE_URL}', 'minio', 'minio123')
SETTINGS catalog_type = 'rest', storage_endpoint = 'http://minio:9000/'
"""
)
def print_objects():
minio_client = Minio(
f"localhost:9002",
access_key="minio",
secret_key="minio123",
secure=False,
http_client=urllib3.PoolManager(cert_reqs="CERT_NONE"),
)
objects = list(minio_client.list_objects("warehouse", "", recursive=True))
names = [x.object_name for x in objects]
names.sort()
for name in names:
print(f"Found object: {name}")
@pytest.fixture(scope="module")
def started_cluster():
try:
cluster = ClickHouseCluster(__file__)
cluster.add_instance(
"node1",
main_configs=[],
user_configs=[],
stay_alive=True,
with_iceberg_catalog=True,
)
logging.info("Starting cluster...")
cluster.start()
# TODO: properly wait for container
time.sleep(10)
yield cluster
finally:
cluster.shutdown()
def test_list_tables(started_cluster):
node = started_cluster.instances["node1"]
root_namespace = f"clickhouse_{uuid.uuid4()}"
namespace_1 = f"{root_namespace}.testA.A"
namespace_2 = f"{root_namespace}.testB.B"
namespace_1_tables = ["tableA", "tableB"]
namespace_2_tables = ["tableC", "tableD"]
catalog = load_catalog_impl(started_cluster)
for namespace in [namespace_1, namespace_2]:
catalog.create_namespace(namespace)
found = False
for namespace_list in list_namespaces()["namespaces"]:
if root_namespace == namespace_list[0]:
found = True
break
assert found
found = False
for namespace_list in catalog.list_namespaces():
if root_namespace == namespace_list[0]:
found = True
break
assert found
for namespace in [namespace_1, namespace_2]:
assert len(catalog.list_tables(namespace)) == 0
create_clickhouse_iceberg_database(started_cluster, node, CATALOG_NAME)
tables_list = ""
for table in namespace_1_tables:
create_table(catalog, namespace_1, table)
if len(tables_list) > 0:
tables_list += "\n"
tables_list += f"{namespace_1}.{table}"
for table in namespace_2_tables:
create_table(catalog, namespace_2, table)
if len(tables_list) > 0:
tables_list += "\n"
tables_list += f"{namespace_2}.{table}"
assert (
tables_list
== node.query(
f"SELECT name FROM system.tables WHERE database = '{CATALOG_NAME}' and name ILIKE '{root_namespace}%' ORDER BY name"
).strip()
)
node.restart_clickhouse()
assert (
tables_list
== node.query(
f"SELECT name FROM system.tables WHERE database = '{CATALOG_NAME}' and name ILIKE '{root_namespace}%' ORDER BY name"
).strip()
)
expected = DEFAULT_CREATE_TABLE.format(CATALOG_NAME, namespace_2, "tableC")
assert expected == node.query(
f"SHOW CREATE TABLE {CATALOG_NAME}.`{namespace_2}.tableC`"
)
def test_many_namespaces(started_cluster):
node = started_cluster.instances["node1"]
root_namespace_1 = f"A_{uuid.uuid4()}"
root_namespace_2 = f"B_{uuid.uuid4()}"
namespaces = [
f"{root_namespace_1}",
f"{root_namespace_1}.B.C",
f"{root_namespace_1}.B.C.D",
f"{root_namespace_1}.B.C.D.E",
f"{root_namespace_2}",
f"{root_namespace_2}.C",
f"{root_namespace_2}.CC",
]
tables = ["A", "B", "C"]
catalog = load_catalog_impl(started_cluster)
for namespace in namespaces:
catalog.create_namespace(namespace)
for table in tables:
create_table(catalog, namespace, table)
create_clickhouse_iceberg_database(started_cluster, node, CATALOG_NAME)
for namespace in namespaces:
for table in tables:
table_name = f"{namespace}.{table}"
assert int(
node.query(
f"SELECT count() FROM system.tables WHERE database = '{CATALOG_NAME}' and name = '{table_name}'"
)
)
def test_select(started_cluster):
node = started_cluster.instances["node1"]
test_ref = f"test_list_tables_{uuid.uuid4()}"
table_name = f"{test_ref}_table"
root_namespace = f"{test_ref}_namespace"
namespace = f"{root_namespace}.A.B.C"
namespaces_to_create = [
root_namespace,
f"{root_namespace}.A",
f"{root_namespace}.A.B",
f"{root_namespace}.A.B.C",
]
catalog = load_catalog_impl(started_cluster)
for namespace in namespaces_to_create:
catalog.create_namespace(namespace)
assert len(catalog.list_tables(namespace)) == 0
table = create_table(catalog, namespace, table_name)
num_rows = 10
data = [generate_record() for _ in range(num_rows)]
df = pa.Table.from_pylist(data)
table.append(df)
create_clickhouse_iceberg_database(started_cluster, node, CATALOG_NAME)
expected = DEFAULT_CREATE_TABLE.format(CATALOG_NAME, namespace, table_name)
assert expected == node.query(
f"SHOW CREATE TABLE {CATALOG_NAME}.`{namespace}.{table_name}`"
)
assert num_rows == int(
node.query(f"SELECT count() FROM {CATALOG_NAME}.`{namespace}.{table_name}`")
)

View File

@ -378,7 +378,7 @@ def test_reload_via_client(cluster, zk):
configure_from_zk(zk)
break
except QueryRuntimeException:
logging.exception("The new socket is not binded yet")
logging.exception("The new socket is not bound yet")
time.sleep(0.1)
if exception:

View File

@ -0,0 +1,20 @@
<clickhouse>
<remote_servers>
<cluster_simple>
<shard>
<replica>
<host>node1</host>
<port>9000</port>
</replica>
<replica>
<host>node2</host>
<port>9000</port>
</replica>
<replica>
<host>node3</host>
<port>9000</port>
</replica>
</shard>
</cluster_simple>
</remote_servers>
</clickhouse>

View File

@ -0,0 +1,6 @@
<clickhouse>
<query_log>
<database>system</database>
<table>query_log</table>
</query_log>
</clickhouse>

View File

@ -73,14 +73,38 @@ def started_cluster():
cluster.add_instance(
"node1",
main_configs=[
"configs/config.d/query_log.xml",
"configs/config.d/cluster.xml",
"configs/config.d/named_collections.xml",
"configs/config.d/filesystem_caches.xml",
],
user_configs=["configs/users.d/users.xml"],
with_minio=True,
with_azurite=True,
stay_alive=True,
with_hdfs=with_hdfs,
stay_alive=True,
)
cluster.add_instance(
"node2",
main_configs=[
"configs/config.d/query_log.xml",
"configs/config.d/cluster.xml",
"configs/config.d/named_collections.xml",
"configs/config.d/filesystem_caches.xml",
],
user_configs=["configs/users.d/users.xml"],
stay_alive=True,
)
cluster.add_instance(
"node3",
main_configs=[
"configs/config.d/query_log.xml",
"configs/config.d/cluster.xml",
"configs/config.d/named_collections.xml",
"configs/config.d/filesystem_caches.xml",
],
user_configs=["configs/users.d/users.xml"],
stay_alive=True,
)
logging.info("Starting cluster...")
@ -182,6 +206,7 @@ def get_creation_expression(
cluster,
format="Parquet",
table_function=False,
run_on_cluster=False,
**kwargs,
):
if storage_type == "s3":
@ -189,35 +214,56 @@ def get_creation_expression(
bucket = kwargs["bucket"]
else:
bucket = cluster.minio_bucket
print(bucket)
if table_function:
return f"icebergS3(s3, filename = 'iceberg_data/default/{table_name}/', format={format}, url = 'http://minio1:9001/{bucket}/')"
if run_on_cluster:
assert table_function
return f"icebergS3Cluster('cluster_simple', s3, filename = 'iceberg_data/default/{table_name}/', format={format}, url = 'http://minio1:9001/{bucket}/')"
else:
return f"""
DROP TABLE IF EXISTS {table_name};
CREATE TABLE {table_name}
ENGINE=IcebergS3(s3, filename = 'iceberg_data/default/{table_name}/', format={format}, url = 'http://minio1:9001/{bucket}/')"""
if table_function:
return f"icebergS3(s3, filename = 'iceberg_data/default/{table_name}/', format={format}, url = 'http://minio1:9001/{bucket}/')"
else:
return f"""
DROP TABLE IF EXISTS {table_name};
CREATE TABLE {table_name}
ENGINE=IcebergS3(s3, filename = 'iceberg_data/default/{table_name}/', format={format}, url = 'http://minio1:9001/{bucket}/')"""
elif storage_type == "azure":
if table_function:
if run_on_cluster:
assert table_function
return f"""
icebergAzure(azure, container = '{cluster.azure_container_name}', storage_account_url = '{cluster.env_variables["AZURITE_STORAGE_ACCOUNT_URL"]}', blob_path = '/iceberg_data/default/{table_name}/', format={format})
icebergAzureCluster('cluster_simple', azure, container = '{cluster.azure_container_name}', storage_account_url = '{cluster.env_variables["AZURITE_STORAGE_ACCOUNT_URL"]}', blob_path = '/iceberg_data/default/{table_name}/', format={format})
"""
else:
return f"""
DROP TABLE IF EXISTS {table_name};
CREATE TABLE {table_name}
ENGINE=IcebergAzure(azure, container = {cluster.azure_container_name}, storage_account_url = '{cluster.env_variables["AZURITE_STORAGE_ACCOUNT_URL"]}', blob_path = '/iceberg_data/default/{table_name}/', format={format})"""
if table_function:
return f"""
icebergAzure(azure, container = '{cluster.azure_container_name}', storage_account_url = '{cluster.env_variables["AZURITE_STORAGE_ACCOUNT_URL"]}', blob_path = '/iceberg_data/default/{table_name}/', format={format})
"""
else:
return f"""
DROP TABLE IF EXISTS {table_name};
CREATE TABLE {table_name}
ENGINE=IcebergAzure(azure, container = {cluster.azure_container_name}, storage_account_url = '{cluster.env_variables["AZURITE_STORAGE_ACCOUNT_URL"]}', blob_path = '/iceberg_data/default/{table_name}/', format={format})"""
elif storage_type == "hdfs":
if table_function:
if run_on_cluster:
assert table_function
return f"""
icebergHDFS(hdfs, filename= 'iceberg_data/default/{table_name}/', format={format}, url = 'hdfs://hdfs1:9000/')
icebergHDFSCluster('cluster_simple', hdfs, filename= 'iceberg_data/default/{table_name}/', format={format}, url = 'hdfs://hdfs1:9000/')
"""
else:
return f"""
DROP TABLE IF EXISTS {table_name};
CREATE TABLE {table_name}
ENGINE=IcebergHDFS(hdfs, filename = 'iceberg_data/default/{table_name}/', format={format}, url = 'hdfs://hdfs1:9000/');"""
if table_function:
return f"""
icebergHDFS(hdfs, filename= 'iceberg_data/default/{table_name}/', format={format}, url = 'hdfs://hdfs1:9000/')
"""
else:
return f"""
DROP TABLE IF EXISTS {table_name};
CREATE TABLE {table_name}
ENGINE=IcebergHDFS(hdfs, filename = 'iceberg_data/default/{table_name}/', format={format}, url = 'hdfs://hdfs1:9000/');"""
elif storage_type == "local":
assert not run_on_cluster
if table_function:
return f"""
icebergLocal(local, path = '/iceberg_data/default/{table_name}/', format={format})
@ -227,6 +273,7 @@ def get_creation_expression(
DROP TABLE IF EXISTS {table_name};
CREATE TABLE {table_name}
ENGINE=IcebergLocal(local, path = '/iceberg_data/default/{table_name}/', format={format});"""
else:
raise Exception(f"Unknown iceberg storage type: {storage_type}")
@ -492,6 +539,108 @@ def test_types(started_cluster, format_version, storage_type):
)
@pytest.mark.parametrize("format_version", ["1", "2"])
@pytest.mark.parametrize("storage_type", ["s3", "azure", "hdfs"])
def test_cluster_table_function(started_cluster, format_version, storage_type):
if is_arm() and storage_type == "hdfs":
pytest.skip("Disabled test IcebergHDFS for aarch64")
instance = started_cluster.instances["node1"]
spark = started_cluster.spark_session
TABLE_NAME = (
"test_iceberg_cluster_"
+ format_version
+ "_"
+ storage_type
+ "_"
+ get_uuid_str()
)
def add_df(mode):
write_iceberg_from_df(
spark,
generate_data(spark, 0, 100),
TABLE_NAME,
mode=mode,
format_version=format_version,
)
files = default_upload_directory(
started_cluster,
storage_type,
f"/iceberg_data/default/{TABLE_NAME}/",
f"/iceberg_data/default/{TABLE_NAME}/",
)
logging.info(f"Adding another dataframe. result files: {files}")
return files
files = add_df(mode="overwrite")
for i in range(1, len(started_cluster.instances)):
files = add_df(mode="append")
logging.info(f"Setup complete. files: {files}")
assert len(files) == 5 + 4 * (len(started_cluster.instances) - 1)
clusters = instance.query(f"SELECT * FROM system.clusters")
logging.info(f"Clusters setup: {clusters}")
# Regular Query only node1
table_function_expr = get_creation_expression(
storage_type, TABLE_NAME, started_cluster, table_function=True
)
select_regular = (
instance.query(f"SELECT * FROM {table_function_expr}").strip().split()
)
# Cluster Query with node1 as coordinator
table_function_expr_cluster = get_creation_expression(
storage_type,
TABLE_NAME,
started_cluster,
table_function=True,
run_on_cluster=True,
)
select_cluster = (
instance.query(f"SELECT * FROM {table_function_expr_cluster}").strip().split()
)
# Simple size check
assert len(select_regular) == 600
assert len(select_cluster) == 600
# Actual check
assert select_cluster == select_regular
# Check query_log
for replica in started_cluster.instances.values():
replica.query("SYSTEM FLUSH LOGS")
for node_name, replica in started_cluster.instances.items():
cluster_secondary_queries = (
replica.query(
f"""
SELECT query, type, is_initial_query, read_rows, read_bytes FROM system.query_log
WHERE
type = 'QueryStart' AND
positionCaseInsensitive(query, '{storage_type}Cluster') != 0 AND
position(query, '{TABLE_NAME}') != 0 AND
position(query, 'system.query_log') = 0 AND
NOT is_initial_query
"""
)
.strip()
.split("\n")
)
logging.info(
f"[{node_name}] cluster_secondary_queries: {cluster_secondary_queries}"
)
assert len(cluster_secondary_queries) == 1
@pytest.mark.parametrize("format_version", ["1", "2"])
@pytest.mark.parametrize("storage_type", ["s3", "azure", "hdfs", "local"])
def test_delete_files(started_cluster, format_version, storage_type):

View File

@ -0,0 +1,11 @@
drop table if exists test;
CREATE TABLE test (
`start_s` UInt32 EPHEMERAL COMMENT 'start UNIX time' ,
`start_us` UInt16 EPHEMERAL COMMENT 'start microseconds',
`finish_s` UInt32 EPHEMERAL COMMENT 'finish UNIX time',
`finish_us` UInt16 EPHEMERAL COMMENT 'finish microseconds',
`captured` DateTime MATERIALIZED fromUnixTimestamp(start_s),
`duration` Decimal32(6) MATERIALIZED finish_s - start_s + (finish_us - start_us)/1000000
)
ENGINE Null;
drop table if exists test;

View File

@ -244,7 +244,10 @@ Deduplication
DefaultTableEngine
DelayedInserts
DeliveryTag
Deltalake
DeltaLake
deltalakeCluster
deltaLakeCluster
Denormalize
DestroyAggregatesThreads
DestroyAggregatesThreadsActive
@ -377,10 +380,15 @@ Homebrew's
HorizontalDivide
Hostname
HouseOps
hudi
Hudi
hudiCluster
HudiCluster
HyperLogLog
Hypot
IANA
icebergCluster
IcebergCluster
IDE
IDEs
IDNA