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74 lines
2.7 KiB
Markdown
74 lines
2.7 KiB
Markdown
---
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slug: /en/engines/table-engines/integrations/azure-queue
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sidebar_position: 181
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sidebar_label: AzureQueue
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---
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# AzureQueue Table Engine
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This engine provides an integration with [Azure Blob Storage](https://azure.microsoft.com/en-us/products/storage/blobs) ecosystem, allowing streaming data import.
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## Create Table {#creating-a-table}
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``` sql
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CREATE TABLE test (name String, value UInt32)
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ENGINE = AzureQueue(...)
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[SETTINGS]
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[mode = '',]
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[after_processing = 'keep',]
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[keeper_path = '',]
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...
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```
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**Engine parameters**
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`AzureQueue` parameters are the same as `AzureBlobStorage` table engine supports. See parameters section [here](../../../engines/table-engines/integrations/azureBlobStorage.md).
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**Example**
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```sql
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CREATE TABLE azure_queue_engine_table (name String, value UInt32)
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ENGINE=AzureQueue('DefaultEndpointsProtocol=http;AccountName=devstoreaccount1;AccountKey=Eby8vdM02xNOcqFlqUwJPLlmEtlCDXJ1OUzFT50uSRZ6IFsuFq2UVErCz4I6tq/K1SZFPTOtr/KBHBeksoGMGw==;BlobEndpoint=http://azurite1:10000/devstoreaccount1/data/')
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SETTINGS
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mode = 'unordered'
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```
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## Settings {#settings}
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The set of supported settings is the same as for `S3Queue` table engine, but without `s3queue_` prefix. See [full list of settings settings](../../../engines/table-engines/integrations/s3queue.md#settings).
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To get a list of settings, configured for the table, use `system.s3_queue_settings` table. Available from `24.10`.
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## Description {#description}
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`SELECT` is not particularly useful for streaming import (except for debugging), because each file can be imported only once. It is more practical to create real-time threads using [materialized views](../../../sql-reference/statements/create/view.md). To do this:
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1. Use the engine to create a table for consuming from specified path in S3 and consider it a data stream.
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2. Create a table with the desired structure.
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3. Create a materialized view that converts data from the engine and puts it into a previously created table.
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When the `MATERIALIZED VIEW` joins the engine, it starts collecting data in the background.
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Example:
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``` sql
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CREATE TABLE azure_queue_engine_table (name String, value UInt32)
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ENGINE=AzureQueue('<endpoint>', 'CSV', 'gzip')
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SETTINGS
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mode = 'unordered';
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CREATE TABLE stats (name String, value UInt32)
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ENGINE = MergeTree() ORDER BY name;
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CREATE MATERIALIZED VIEW consumer TO stats
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AS SELECT name, value FROM azure_queue_engine_table;
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SELECT * FROM stats ORDER BY name;
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```
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## Virtual columns {#virtual-columns}
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- `_path` — Path to the file.
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- `_file` — Name of the file.
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For more information about virtual columns see [here](../../../engines/table-engines/index.md#table_engines-virtual_columns).
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