[Yandex Cloud documentation](../../../index.md) > [Yandex MetaData Hub](../../index.md) > Data Catalog > Step-by-step guides > Ingestions > Updating an ingestion

# Updating a data ingestion


{% note info %}

This feature is in the [Preview](../../../overview/concepts/launch-stages.md) stage.

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{% list tabs group=instructions %}

- Management console {#console}

  1. In the [management console](https://console.yandex.cloud), select the [resource folder](../../../resource-manager/concepts/resources-hierarchy.md#folder) you created the metadata catalog in.
  1. [Go](../../../console/operations/select-service.md#select-service) to **Yandex MetaData Hub**.
  1. In the left-hand panel, select ![image](../../../_assets/console-icons/folder-magnifier.svg) **Data Catalog**.
  1. In the list that opens, select the metadata catalog you want to update an ingestion in.
  1. In the left-hand panel, select ![image](../../../_assets/console-icons/arrow-up-from-square.svg) **Ingestions**.
  1. In the list of ingestions, click ![image](../../../_assets/console-icons/ellipsis.svg) in the line with the ingestion and select **Edit**.
  1. Edit its settings:

     * In the **Name** field, specify a new unique name for the ingestion.
     * Optionally, edit the ingestion description.
     * Select a new data source.
     * Under **PostgreSQL Ingestion Configuration**:

       * Update the ingestion schedule:

          * **Monthly**: Select the dates and the ingestion start and end time.
          * **Weekly**: Select the days of the week and the ingestion start and end time.
          
             {% note info %}
          
             If scheduled for **Monthly** or **Weekly**, the ingestion will start at the specified time and stop as soon as new data has been ingested. If there are errors while ingesting, the ingestion will restart until the data has been ingested or until the specified time is over.
          
             {% endnote %}
          
          * **Daily**: Select time intervals for ingestion.
          * **Manually**: For manual start only.

       * Optionally, under **Data Filters**, use regular expressions to specify which databases and database objects to include in or exclude from the ingestion.

       * Under **Metadata Types**, select the metadata types to extract from the source.
       * Optionally, under **Data Profiling**:
       
         * Select **Enable Profiling** to perform data profiling, i.e., analysis and collection of statistics on the data being extracted.
         * Select **Table level only** to skip data profiling in every table column. With this option on, data characteristics will only be collected for the table as a whole.
         * In the **Max Workers** field, specify the number of computing threads for profiling.
         * In the **Sample Size** field, specify the number of rows for sampling for column profiling. This setting applies when the **Use Sampling** option is enabled.
         * In the **Table size limit** field, specify the table size in GB above which the table will be excluded from profiling.
         * In the **Table row limit** field, specify the number of rows above which the table will be excluded from profiling.
         * Select **Enable field null count** to get the number of rows with `NULL` for each column.
         * Select **Enable distinct value count** to get the number of unique values for each column.
         * Select **Enable field min value** to get the minimum value for each numeric column.
         * Select **Enable field max value** to get the maximum value for each numeric column.
         * Select **Enable field mean value** to get the mean value for each numeric column.
         * Select **Enable field median value** to get the median value for each numeric column.
         * Select **Enables field value stddev** to get the standard deviation value for each numeric column.
         * Select **Enables field quintiles** to get quantiles for each numeric column.
         * Select **Enable distinct value frequency count** to get the frequency of unique values for each column.
         * Select **Enable field histogram** to get a histogram for each numeric column.
         * Select **Enable field sample values** to get sample values for each column.
         * Select **Enable query joining** to dynamically combine SQL queries for faster profiling.
         * In the **Limit** field, specify the maximum number of rows to profile. If set to `0`, all rows will be profiled.
       
       * Under **Metadata Processing**, select the image for metadata processing:
         * Enable **Use File Cache** to improve ingestion performance.

  1. Click **Apply**.

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