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| dataset.table.columns.column.primaryKeyPosition | | No | If column is a primary key, the position of the primary key column. Starts from 1. Example of `account_id, name` being primary key columns, `account_id` has primaryKeyPosition 1 and `name` primaryKeyPosition 2. Default to -1. |
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| dataset.table.columns.column.businessName | | No | The business name of the column. |
| dataset.table.columns.column.description | Description | No | Description of the column. |
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| dataset.table.columns.column.isNullable | | No | indicates if the column may contain Null values; possible values are true and false. Default is false. |
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| dataset.table.columns.column.partitionStatus | | No | indicates if the column is partitioned; possible values are true and false. |
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| dataset.table.columns.column.clusterStatus | | No | indicates of the column is clustered; possible values are true and false. |
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| dataset.table.columns.column.isNullable | | No | Indicates if the column may contain Null values; possible values are true and false. Default is false. |
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| dataset.table.columns.column.isUnique | | No | Indicates if the column contains unique values; possible values are true and false. Default is false. |
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| dataset.table.columns.column.partitionStatus | | No | Indicates if the column is partitioned; possible values are true and false. |
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| dataset.table.columns.column.partitionKeyPosition | | No | If column is used for partitioning, the position of the partition column. Starts from 1. Example of `country, year` being partition columns, `country` has partitionKeyPosition 1 and `year` partitionKeyPosition 2. Default to -1. |
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| dataset.table.columns.column.clusterStatus | | No | Indicates of the column is clustered; possible values are true and false. |
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| dataset.table.columns.column.clusterKeyPosition | | No | If column is used for clustering, the position of the cluster column. Starts from 1. Example of `year, date` being cluster columns, `year` has clusterKeyPosition 1 and `date` clusterKeyPosition 2. Default to -1. |
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| dataset.table.columns.column.classification | | No | Can be anything, like confidential, restricted, and public to more advanced categorization. Some companies like PayPal, use data classification indicating the class of data in the column; expected values are 1, 2, 3, 4, or 5. |
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| dataset.table.columns.column.authoritativeDefinitions | | No | list of links to sources that provide more detail on column logic or values; examples would be URL to a GitHub repo, Collibra, on another tool. |
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| dataset.table.columns.column.authoritativeDefinitions | | No | List of links to sources that provide more detail on column logic or values; examples would be URL to a GitHub repo, Collibra, on another tool. |
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| dataset.table.columns.column.encryptedColumnName | | No | The column name within the table that contains the encrypted column value. For example, unencrypted column `email_address` might have an encryptedColumnName of `email_address_encrypt`. |
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| dataset.table.columns.column.transformSourceTables | | No | List of sources used in column transformation. |
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| dataset.table.columns.column.transformLogic | | No | Logic used in the column transformation. |
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