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Documentation of using Avro files.
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piotrczarnas committed Jan 14, 2025
1 parent 08a3c71 commit f1813a7
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382 changes: 382 additions & 0 deletions docs/data-sources/avro.md

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7 changes: 5 additions & 2 deletions docs/data-sources/index.md
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Expand Up @@ -59,6 +59,11 @@ DQOps supports the following data sources.
<p>Amazon RDS for SQL Server</p>
</a>

<a href="avro/" class="four-divs-element">
<img src="https://dqops.com/docs/images/data-sources/avro-icon.svg">
<p>Avro files</p>
</a>

<a href="mysql/" class="four-divs-element">
<img src="https://dqops.com/docs/images/data-sources/azure-database-mysql.svg">
<p>Azure Database for MySQL</p>
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</a>

<div class="four-divs-element"></div>
<div class="four-divs-element"></div>
<div class="four-divs-element"></div>

</div>

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4 changes: 2 additions & 2 deletions docs/data-sources/json.md
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Expand Up @@ -243,8 +243,8 @@ Select the **duckdb** provider, which provides support for the JSON file format.

!!! info "Windows file system"

When using the Windows file system remember to put a double backslash (\\) in the path on the CLI prompt.
You can also use a single slash (/).
When using the Windows file system remember to put a double backslash (\\) in the path on the CLI prompt.
You can also use a single slash (/).


```
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4 changes: 2 additions & 2 deletions docs/data-sources/parquet.md
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Expand Up @@ -231,8 +231,8 @@ Select the **duckdb** provider, which provides support for the Parquet file form

!!! info "Windows file system"

When using the Windows file system remember to put a double backslash (\\) in the path on the CLI prompt.
You can also use a single slash (/).
When using the Windows file system remember to put a double backslash (\\) in the path on the CLI prompt.
You can also use a single slash (/).


```
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1 change: 1 addition & 0 deletions mkdocs.yml
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Expand Up @@ -55,6 +55,7 @@ nav:
- Amazon Redshift: "data-sources/redshift.md"
- Amazon S3: "data-sources/aws.md"
- Apache Spark: "data-sources/spark.md"
- Avro files: "data-sources/avro.md"
- ClickHouse: "data-sources/clickhouse.md"
- CSV files: "data-sources/csv.md"
- Databricks: "data-sources/databricks.md"
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