Remove AdfRangePartitionColumnName

Author: v-luckywang

articles/data-factory/connector-amazon-rds-for-sql-server.md

@@ -349,7 +349,7 @@ You are suggested to enable parallel copy with data partitioning especially when
 | ------------------------------------------------------------ | ------------------------------------------------------------ |
 | Full load from large table, with physical partitions.        | **Partition option**: Physical partitions of table. <br><br/>During execution, the service automatically detects the physical partitions, and copies data by partitions. <br><br/>To check if your table has physical partition or not, you can refer to [this query](#sample-query-to-check-physical-partition). |
 | Full load from large table, without physical partitions, while with an integer or datetime column for data partitioning. | **Partition options**: Dynamic range partition.<br>**Partition column** (optional): Specify the column used to partition data. If not specified, the primary key column is used.<br/>**Partition upper bound** and **partition lower bound** (optional): Specify if you want to determine the partition stride. This is not for filtering the rows in table, all rows in the table will be partitioned and copied. If not specified, copy activity auto detects the values and it can take long time depending on MIN and MAX values. It is recommended to provide upper bound and lower bound. <br><br>For example, if your partition column "ID" has values range from 1 to 100, and you set the lower bound as 20 and the upper bound as 80, with parallel copy as 4, the service retrieves data by 4 partitions - IDs in range <=20, [21, 50], [51, 80], and >=81, respectively. |
-| Load a large amount of data by using a custom query, without physical partitions, while with an integer or date/datetime column for data partitioning. | **Partition options**: Dynamic range partition.<br>**Query**: `SELECT * FROM <TableName> WHERE ?DfDynamicRangePartitionCondition AND <your_additional_where_clause>`.<br>**Partition column**: Specify the column used to partition data.<br>**Partition upper bound** and **partition lower bound** (optional): Specify if you want to determine the partition stride. This is not for filtering the rows in table, all rows in the query result will be partitioned and copied. If not specified, copy activity auto detect the value.<br><br>During execution, the service replaces `?AdfRangePartitionColumnName` with the actual column name and value ranges for each partition, and sends to Amazon RDS for SQL Server. <br>For example, if your partition column "ID" has values range from 1 to 100, and you set the lower bound as 20 and the upper bound as 80, with parallel copy as 4, the service retrieves data by 4 partitions- IDs in range <=20, [21, 50], [51, 80], and >=81, respectively. <br><br>Here are more sample queries for different scenarios:<br> 1. Query the whole table: <br>`SELECT * FROM <TableName> WHERE ?DfDynamicRangePartitionCondition`<br> 2. Query from a table with column selection and additional where-clause filters: <br>`SELECT <column_list> FROM <TableName> WHERE ?DfDynamicRangePartitionCondition AND <your_additional_where_clause>`<br> 3. Query with subqueries: <br>`SELECT <column_list> FROM (<your_sub_query>) AS T WHERE ?DfDynamicRangePartitionCondition AND <your_additional_where_clause>`<br> 4. Query with partition in subquery: <br>`SELECT <column_list> FROM (SELECT <your_sub_query_column_list> FROM <TableName> WHERE ?DfDynamicRangePartitionCondition) AS T`
+| Load a large amount of data by using a custom query, without physical partitions, while with an integer or date/datetime column for data partitioning. | **Partition options**: Dynamic range partition.<br>**Query**: `SELECT * FROM <TableName> WHERE ?DfDynamicRangePartitionCondition AND <your_additional_where_clause>`.<br>**Partition column**: Specify the column used to partition data.<br>**Partition upper bound** and **partition lower bound** (optional): Specify if you want to determine the partition stride. This is not for filtering the rows in table, all rows in the query result will be partitioned and copied. If not specified, copy activity auto detect the value.<br><br>For example, if your partition column "ID" has values range from 1 to 100, and you set the lower bound as 20 and the upper bound as 80, with parallel copy as 4, the service retrieves data by 4 partitions- IDs in range <=20, [21, 50], [51, 80], and >=81, respectively. <br><br>Here are more sample queries for different scenarios:<br> 1. Query the whole table: <br>`SELECT * FROM <TableName> WHERE ?DfDynamicRangePartitionCondition`<br> 2. Query from a table with column selection and additional where-clause filters: <br>`SELECT <column_list> FROM <TableName> WHERE ?DfDynamicRangePartitionCondition AND <your_additional_where_clause>`<br> 3. Query with subqueries: <br>`SELECT <column_list> FROM (<your_sub_query>) AS T WHERE ?DfDynamicRangePartitionCondition AND <your_additional_where_clause>`<br> 4. Query with partition in subquery: <br>`SELECT <column_list> FROM (SELECT <your_sub_query_column_list> FROM <TableName> WHERE ?DfDynamicRangePartitionCondition) AS T`
 |
 
 Best practices to load data with partition option:

articles/data-factory/connector-azure-sql-data-warehouse.md

@@ -523,7 +523,7 @@ You are suggested to enable parallel copy with data partitioning especially when
 | ------------------------------------------------------------ | ------------------------------------------------------------ |
 | Full load from large table, with physical partitions.        | **Partition option**: Physical partitions of table. <br><br/>During execution, the service automatically detects the physical partitions, and copies data by partitions. <br><br/>To check if your table has physical partition or not, you can refer to [this query](#sample-query-to-check-physical-partition). |
 | Full load from large table, without physical partitions, while with an integer or datetime column for data partitioning. | **Partition options**: Dynamic range partition.<br>**Partition column** (optional): Specify the column used to partition data. If not specified, the index or primary key column is used.<br/>**Partition upper bound** and **partition lower bound** (optional): Specify if you want to determine the partition stride. This is not for filtering the rows in table, all rows in the table will be partitioned and copied. If not specified, copy activity auto detect the values.<br><br>For example, if your partition column "ID" has values range from 1 to 100, and you set the lower bound as 20 and the upper bound as 80, with parallel copy as 4, the service retrieves data by 4 partitions - IDs in range <=20, [21, 50], [51, 80], and >=81, respectively. |
-| Load a large amount of data by using a custom query, without physical partitions, while with an integer or date/datetime column for data partitioning. | **Partition options**: Dynamic range partition.<br>**Query**: `SELECT * FROM <TableName> WHERE ?DfDynamicRangePartitionCondition AND <your_additional_where_clause>`.<br>**Partition column**: Specify the column used to partition data.<br>**Partition upper bound** and **partition lower bound** (optional): Specify if you want to determine the partition stride. This is not for filtering the rows in table, all rows in the query result will be partitioned and copied. If not specified, copy activity auto detect the value.<br><br>During execution, the service replaces `?AdfRangePartitionColumnName` with the actual column name and value ranges for each partition, and sends to Azure Synapse Analytics. <br>For example, if your partition column "ID" has values range from 1 to 100, and you set the lower bound as 20 and the upper bound as 80, with parallel copy as 4, the service retrieves data by 4 partitions- IDs in range <=20, [21, 50], [51, 80], and >=81, respectively. <br><br>Here are more sample queries for different scenarios:<br> 1. Query the whole table: <br>`SELECT * FROM <TableName> WHERE ?DfDynamicRangePartitionCondition`<br> 2. Query from a table with column selection and additional where-clause filters: <br>`SELECT <column_list> FROM <TableName> WHERE ?DfDynamicRangePartitionCondition AND <your_additional_where_clause>`<br> 3. Query with subqueries: <br>`SELECT <column_list> FROM (<your_sub_query>) AS T WHERE ?DfDynamicRangePartitionCondition AND <your_additional_where_clause>`<br> 4. Query with partition in subquery: <br>`SELECT <column_list> FROM (SELECT <your_sub_query_column_list> FROM <TableName> WHERE ?DfDynamicRangePartitionCondition) AS T`
+| Load a large amount of data by using a custom query, without physical partitions, while with an integer or date/datetime column for data partitioning. | **Partition options**: Dynamic range partition.<br>**Query**: `SELECT * FROM <TableName> WHERE ?DfDynamicRangePartitionCondition AND <your_additional_where_clause>`.<br>**Partition column**: Specify the column used to partition data.<br>**Partition upper bound** and **partition lower bound** (optional): Specify if you want to determine the partition stride. This is not for filtering the rows in table, all rows in the query result will be partitioned and copied. If not specified, copy activity auto detect the value.<br><br>For example, if your partition column "ID" has values range from 1 to 100, and you set the lower bound as 20 and the upper bound as 80, with parallel copy as 4, the service retrieves data by 4 partitions- IDs in range <=20, [21, 50], [51, 80], and >=81, respectively. <br><br>Here are more sample queries for different scenarios:<br> 1. Query the whole table: <br>`SELECT * FROM <TableName> WHERE ?DfDynamicRangePartitionCondition`<br> 2. Query from a table with column selection and additional where-clause filters: <br>`SELECT <column_list> FROM <TableName> WHERE ?DfDynamicRangePartitionCondition AND <your_additional_where_clause>`<br> 3. Query with subqueries: <br>`SELECT <column_list> FROM (<your_sub_query>) AS T WHERE ?DfDynamicRangePartitionCondition AND <your_additional_where_clause>`<br> 4. Query with partition in subquery: <br>`SELECT <column_list> FROM (SELECT <your_sub_query_column_list> FROM <TableName> WHERE ?DfDynamicRangePartitionCondition) AS T`
 |
 
 Best practices to load data with partition option:

articles/data-factory/connector-azure-sql-database.md

@@ -626,7 +626,7 @@ You are suggested to enable parallel copy with data partitioning especially when
 | ------------------------------------------------------------ | ------------------------------------------------------------ |
 | Full load from large table, with physical partitions.        | **Partition option**: Physical partitions of table. <br><br/>During execution, the service automatically detects the physical partitions, and copies data by partitions. <br><br/>To check if your table has physical partition or not, you can refer to [this query](#sample-query-to-check-physical-partition). |
 | Full load from large table, without physical partitions, while with an integer or datetime column for data partitioning. | **Partition options**: Dynamic range partition.<br>**Partition column** (optional): Specify the column used to partition data. If not specified, the index or primary key column is used.<br/>**Partition upper bound** and **partition lower bound** (optional): Specify if you want to determine the partition stride. This is not for filtering the rows in table, all rows in the table will be partitioned and copied. If not specified, copy activity auto detect the values.<br><br>For example, if your partition column "ID" has values range from 1 to 100, and you set the lower bound as 20 and the upper bound as 80, with parallel copy as 4, the service retrieves data by 4 partitions - IDs in range <=20, [21, 50], [51, 80], and >=81, respectively. |
-| Load a large amount of data by using a custom query, without physical partitions, while with an integer or date/datetime column for data partitioning. | **Partition options**: Dynamic range partition.<br>**Query**: `SELECT * FROM <TableName> WHERE ?DfDynamicRangePartitionCondition AND <your_additional_where_clause>`.<br>**Partition column**: Specify the column used to partition data.<br>**Partition upper bound** and **partition lower bound** (optional): Specify if you want to determine the partition stride. This is not for filtering the rows in table, all rows in the query result will be partitioned and copied. If not specified, copy activity auto detect the value.<br><br>During execution, the service replaces `?AdfRangePartitionColumnName` with the actual column name and value ranges for each partition, and sends to Azure SQL Database. <br>For example, if your partition column "ID" has values range from 1 to 100, and you set the lower bound as 20 and the upper bound as 80, with parallel copy as 4, the service retrieves data by 4 partitions- IDs in range <=20, [21, 50], [51, 80], and >=81, respectively. <br><br>Here are more sample queries for different scenarios:<br> 1. Query the whole table: <br>`SELECT * FROM <TableName> WHERE ?DfDynamicRangePartitionCondition`<br> 2. Query from a table with column selection and additional where-clause filters: <br>`SELECT <column_list> FROM <TableName> WHERE ?DfDynamicRangePartitionCondition AND <your_additional_where_clause>`<br> 3. Query with subqueries: <br>`SELECT <column_list> FROM (<your_sub_query>) AS T WHERE ?DfDynamicRangePartitionCondition AND <your_additional_where_clause>`<br> 4. Query with partition in subquery: <br>`SELECT <column_list> FROM (SELECT <your_sub_query_column_list> FROM <TableName> WHERE ?DfDynamicRangePartitionCondition) AS T`
+| Load a large amount of data by using a custom query, without physical partitions, while with an integer or date/datetime column for data partitioning. | **Partition options**: Dynamic range partition.<br>**Query**: `SELECT * FROM <TableName> WHERE ?DfDynamicRangePartitionCondition AND <your_additional_where_clause>`.<br>**Partition column**: Specify the column used to partition data.<br>**Partition upper bound** and **partition lower bound** (optional): Specify if you want to determine the partition stride. This is not for filtering the rows in table, all rows in the query result will be partitioned and copied. If not specified, copy activity auto detect the value.<br><br>For example, if your partition column "ID" has values range from 1 to 100, and you set the lower bound as 20 and the upper bound as 80, with parallel copy as 4, the service retrieves data by 4 partitions- IDs in range <=20, [21, 50], [51, 80], and >=81, respectively. <br><br>Here are more sample queries for different scenarios:<br> 1. Query the whole table: <br>`SELECT * FROM <TableName> WHERE ?DfDynamicRangePartitionCondition`<br> 2. Query from a table with column selection and additional where-clause filters: <br>`SELECT <column_list> FROM <TableName> WHERE ?DfDynamicRangePartitionCondition AND <your_additional_where_clause>`<br> 3. Query with subqueries: <br>`SELECT <column_list> FROM (<your_sub_query>) AS T WHERE ?DfDynamicRangePartitionCondition AND <your_additional_where_clause>`<br> 4. Query with partition in subquery: <br>`SELECT <column_list> FROM (SELECT <your_sub_query_column_list> FROM <TableName> WHERE ?DfDynamicRangePartitionCondition) AS T`
 |
 
 Best practices to load data with partition option:

articles/data-factory/connector-azure-sql-managed-instance.md

@@ -636,7 +636,7 @@ You are suggested to enable parallel copy with data partitioning especially when
 | ------------------------------------------------------------ | ------------------------------------------------------------ |
 | Full load from large table, with physical partitions.        | **Partition option**: Physical partitions of table. <br><br/>During execution, the service automatically detects the physical partitions, and copies data by partitions. <br><br/>To check if your table has physical partition or not, you can refer to [this query](#sample-query-to-check-physical-partition). |
 | Full load from large table, without physical partitions, while with an integer or datetime column for data partitioning. | **Partition options**: Dynamic range partition.<br>**Partition column** (optional): Specify the column used to partition data. If not specified, the index or primary key column is used.<br/>**Partition upper bound** and **partition lower bound** (optional): Specify if you want to determine the partition stride. This is not for filtering the rows in table, all rows in the table will be partitioned and copied. If not specified, copy activity auto detect the values.<br><br>For example, if your partition column "ID" has values range from 1 to 100, and you set the lower bound as 20 and the upper bound as 80, with parallel copy as 4, the service retrieves data by 4 partitions - IDs in range <=20, [21, 50], [51, 80], and >=81, respectively. |
-| Load a large amount of data by using a custom query, without physical partitions, while with an integer or date/datetime column for data partitioning. | **Partition options**: Dynamic range partition.<br>**Query**: `SELECT * FROM <TableName> WHERE ?DfDynamicRangePartitionCondition AND <your_additional_where_clause>`.<br>**Partition column**: Specify the column used to partition data.<br>**Partition upper bound** and **partition lower bound** (optional): Specify if you want to determine the partition stride. This is not for filtering the rows in table, all rows in the query result will be partitioned and copied. If not specified, copy activity auto detect the value.<br><br>During execution, the service replaces `?AdfRangePartitionColumnName` with the actual column name and value ranges for each partition, and sends to SQL MI. <br>For example, if your partition column "ID" has values range from 1 to 100, and you set the lower bound as 20 and the upper bound as 80, with parallel copy as 4, the service retrieves data by 4 partitions- IDs in range <=20, [21, 50], [51, 80], and >=81, respectively. <br><br>Here are more sample queries for different scenarios:<br> 1. Query the whole table: <br>`SELECT * FROM <TableName> WHERE ?DfDynamicRangePartitionCondition`<br> 2. Query from a table with column selection and additional where-clause filters: <br>`SELECT <column_list> FROM <TableName> WHERE ?DfDynamicRangePartitionCondition AND <your_additional_where_clause>`<br> 3. Query with subqueries: <br>`SELECT <column_list> FROM (<your_sub_query>) AS T WHERE ?DfDynamicRangePartitionCondition AND <your_additional_where_clause>`<br> 4. Query with partition in subquery: <br>`SELECT <column_list> FROM (SELECT <your_sub_query_column_list> FROM <TableName> WHERE ?DfDynamicRangePartitionCondition) AS T`
+| Load a large amount of data by using a custom query, without physical partitions, while with an integer or date/datetime column for data partitioning. | **Partition options**: Dynamic range partition.<br>**Query**: `SELECT * FROM <TableName> WHERE ?DfDynamicRangePartitionCondition AND <your_additional_where_clause>`.<br>**Partition column**: Specify the column used to partition data.<br>**Partition upper bound** and **partition lower bound** (optional): Specify if you want to determine the partition stride. This is not for filtering the rows in table, all rows in the query result will be partitioned and copied. If not specified, copy activity auto detect the value.<br><br>For example, if your partition column "ID" has values range from 1 to 100, and you set the lower bound as 20 and the upper bound as 80, with parallel copy as 4, the service retrieves data by 4 partitions- IDs in range <=20, [21, 50], [51, 80], and >=81, respectively. <br><br>Here are more sample queries for different scenarios:<br> 1. Query the whole table: <br>`SELECT * FROM <TableName> WHERE ?DfDynamicRangePartitionCondition`<br> 2. Query from a table with column selection and additional where-clause filters: <br>`SELECT <column_list> FROM <TableName> WHERE ?DfDynamicRangePartitionCondition AND <your_additional_where_clause>`<br> 3. Query with subqueries: <br>`SELECT <column_list> FROM (<your_sub_query>) AS T WHERE ?DfDynamicRangePartitionCondition AND <your_additional_where_clause>`<br> 4. Query with partition in subquery: <br>`SELECT <column_list> FROM (SELECT <your_sub_query_column_list> FROM <TableName> WHERE ?DfDynamicRangePartitionCondition) AS T`
 |
 
 Best practices to load data with partition option: