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58 lines
1.9 KiB
Markdown
58 lines
1.9 KiB
Markdown
---
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slug: /en/engines/table-engines/integrations/deltalake
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sidebar_position: 40
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sidebar_label: DeltaLake
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---
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# DeltaLake Table Engine
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This engine provides a read-only integration with existing [Delta Lake](https://github.com/delta-io/delta) tables in Amazon S3.
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## Create Table
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Note that the Delta Lake table must already exist in S3, this command does not take DDL parameters to create a new table.
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``` sql
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CREATE TABLE deltalake
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ENGINE = DeltaLake(url, [aws_access_key_id, aws_secret_access_key,])
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```
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**Engine parameters**
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- `url` — Bucket url with path to the existing Delta Lake table.
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- `aws_access_key_id`, `aws_secret_access_key` - Long-term credentials for the [AWS](https://aws.amazon.com/) account user. You can use these to authenticate your requests. Parameter is optional. If credentials are not specified, they are used from the configuration file.
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Engine parameters can be specified using [Named Collections](/docs/en/operations/named-collections.md).
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**Example**
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```sql
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CREATE TABLE deltalake ENGINE=DeltaLake('http://mars-doc-test.s3.amazonaws.com/clickhouse-bucket-3/test_table/', 'ABC123', 'Abc+123')
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```
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Using named collections:
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``` xml
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<clickhouse>
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<named_collections>
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<deltalake_conf>
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<url>http://mars-doc-test.s3.amazonaws.com/clickhouse-bucket-3/</url>
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<access_key_id>ABC123<access_key_id>
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<secret_access_key>Abc+123</secret_access_key>
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</deltalake_conf>
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</named_collections>
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</clickhouse>
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```
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```sql
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CREATE TABLE deltalake ENGINE=DeltaLake(deltalake_conf, filename = 'test_table')
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```
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### Data cache {#data-cache}
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`Iceberg` table engine and table function support data caching same as `S3`, `AzureBlobStorage`, `HDFS` storages. See [here](../../../engines/table-engines/integrations/s3.md#data-cache).
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## See also
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- [deltaLake table function](../../../sql-reference/table-functions/deltalake.md)
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