Provides a table-like interface to select/insert files in [Azure Blob Storage](https://azure.microsoft.com/en-us/products/storage/blobs). This table function is similar to the [s3 function](../../sql-reference/table-functions/s3.md).
**Syntax**
``` sql
azureBlobStorage(- connection_string|storage_account_url, container_name, blobpath, [account_name, account_key, format, compression, structure])
```
**Arguments**
-`connection_string|storage_account_url` — connection_string includes account name & key ([Create connection string](https://learn.microsoft.com/en-us/azure/storage/common/storage-configure-connection-string?toc=%2Fazure%2Fstorage%2Fblobs%2Ftoc.json&bc=%2Fazure%2Fstorage%2Fblobs%2Fbreadcrumb%2Ftoc.json#configure-a-connection-string-for-an-azure-storage-account)) or you could also provide the storage account url here and account name & account key as separate parameters (see parameters account_name & account_key)
-`account_name` - if storage_account_url is used, then account name can be specified here
-`account_key` - if storage_account_url is used, then account key can be specified here
-`format` — The [format](../../interfaces/formats.md#formats) of the file.
-`compression` — Supported values: `none`, `gzip/gz`, `brotli/br`, `xz/LZMA`, `zstd/zst`. By default, it will autodetect compression by file extension. (same as setting to `auto`).
-`structure` — Structure of the table. Format `'column1_name column1_type, column2_name column2_type, ...'`.
**Returned value**
A table with the specified structure for reading or writing data in the specified file.
**Examples**
Write data into azure blob storage using the following :
SELECT count(*) FROM azureBlobStorage('DefaultEndpointsProtocol=https;AccountName=devstoreaccount1;AccountKey=Eby8vdM02xNOcqFlqUwJPLlmEtlCDXJ1OUzFT50uSRZ6IFsuFq2UVErCz4I6tq/K1SZFPTOtr/KBHBeksoGMGw==;EndPointSuffix=core.windows.net',
When setting `use_hive_partitioning` is set to 1, ClickHouse will detect Hive-style partitioning in the path (`/name=value/`) and will allow to use partition columns as virtual columns in the query. These virtual columns will have the same names as in the partitioned path, but starting with `_`.
**Example**
Use virtual column, created with Hive-style partitioning
SELECT * from azureBlobStorage(config, storage_account_url='...', container='...', blob_path='http://data/path/date=*/country=*/code=*/*.parquet') where _date > '2020-01-01' and _country = 'Netherlands' and _code = 42;