The Query Result To Grid component allows you to query a table and return rows of data that are loaded into a predefined grid variable for use elsewhere in the pipeline. The component features both basic and advanced modes, which allow you to set up a simple query via the component interface or to write your own SQL query.
This component has an upper limit of 5000 records. However, the returned payload size also has an upper limit of approximately 1 MB. If the payload exceeds this limit, the component will return an error.
Properties
Snowflake
Databricks
Amazon Redshift
A human-readable name for the component.
- Basic: This mode will build a query for you using the settings you configure in the Database, Schema, Table, Table Columns, Order By, Sort, Limit, Filter Conditions, and Combine Conditions properties. In most cases, this mode will be sufficient.
- Advanced: This mode will require you to write an SQL-like query in the Query property, to call data from Snowflake. The available fields and their descriptions are documented in the data model.
Input an SQL-like query, written according to the profile definition.This property is only available when Mode is set to Advanced.Do not end SQL statements with a semicolon in this component.
The Snowflake schema. The special value [Environment Default] uses the schema defined in the environment. Read Database, Schema, and Share DDL to learn more. The name of the table to be queried.
Select which columns to take from the table as part of the query.
Choose the columns by which to sort rows. If multiple columns are selected, rows are sorted by the first-listed column first, then by the next listed column, and so on.An update to Snowflake has resulted in a change in the behavior of this parameter. The LIMIT 5000 clause (which the Advanced Mode parameter automatically wraps the query in) no longer guarantees that the order specified by the ORDER BY in the sub-query is preserved.
Select whether rows are sorted in Ascending or Descending order.
Set the limit of returned rows.
Choose the grid variable to be loaded with data resulting from the query. Map columns from the queried table to the columns of the grid variable.
- Input Column: Select an input column. The available input columns vary depending upon the data source.
- Qualifier:
- Is: Compares the column to the value using the comparator.
- Not: Reverses the effect of the comparison, so “Equals” becomes “Not equals”, “Less than” becomes “Greater than or equal to”, etc.
- Comparator: Choose a method of comparing the column to the value. Possible comparators include: “Equal to”, “Greater than”, “Less than”, “Greater than or equal to”, “Less than or equal to”, “Like”, “Null”. “Equal to” can match exact strings and numeric values, while other comparators, such as “Greater than” and “Less than”, will work only with numerics. The “Like” operator allows the wildcard character [%] to be used at the start and end of a string value to match a column. The Null operator matches only null values, ignoring whatever the value is set to. Not all data sources support all comparators, meaning that it is likely that only a subset of the above comparators will be available to choose from.
- Value: The value to be compared.
Select whether to use the defined filters in combination with one another according to either And or Or.
A human-readable name for the component.
- Basic: This mode will build a query for you using the settings you configure in the Catalog, Database, Table, Table Columns, Order By, Sort, Limit, Filter Conditions, and Combine Conditions properties. In most cases, this mode will be sufficient.
- Advanced: This mode will require you to write an SQL-like query in the Query property, to call data from Databricks. The available fields and their descriptions are documented in the data model.
Input an SQL-like query, written according to the profile definition.This property is only available when Mode is set to Advanced.Do not end SQL statements with a semicolon in this component.
Select a Databricks Unity Catalog. The special value [Environment Default] uses the catalog defined in the environment. Selecting a catalog will determine which databases are available in the next parameter. The Databricks schema. The special value [Environment Default] uses the schema defined in the environment. Read Create and manage schemas to learn more. A name for the table. Only available when the table type is Native.
Select which columns to take from the table as part of the query.
Choose the columns by which to sort rows. If multiple columns are selected, rows are sorted by the first-listed column first, then by the next listed column, and so on.
Select whether rows are sorted in Ascending or Descending order.
Set the limit of returned rows.
Choose the grid variable to be loaded with data resulting from the query.
Map columns from the queried table to the columns of the grid variable.
- Input Column Name: Select an input column. The available input columns vary depending upon the data source.
- Qualifier:
- Is: Compares the column to the value using the comparator.
- Not: Reverses the effect of the comparison, so “Equals” becomes “Not equals”, “Less than” becomes “Greater than or equal to”, etc.
- Comparator: Choose a method of comparing the column to the value. Possible comparators include: “Equal to”, “Greater than”, “Less than”, “Greater than or equal to”, “Less than or equal to”, “Like”, “Null”. “Equal to” can match exact strings and numeric values, while other comparators, such as “Greater than” and “Less than”, will work only with numerics. The “Like” operator allows the wildcard character [%] to be used at the start and end of a string value to match a column. The Null operator matches only null values, ignoring whatever the value is set to. Not all data sources support all comparators, meaning that it is likely that only a subset of the above comparators will be available to choose from.
- Value: The value to be compared.
Select whether to use the defined filters in combination with one another according to either And or Or.
A human-readable name for the component.
- Basic: This mode will build a query for you using the settings you configure in the Schema, Table, Table Columns, Order By, Sort, Limit, Filter Conditions, and Combine Conditions properties. In most cases, this mode will be sufficient.
- Advanced: This mode will require you to write an SQL-like query in the Query property, to call data from Redshift. The available fields and their descriptions are documented in the data model.
Input an SQL-like query, written according to the profile definition.This property is only available when Mode is set to Advanced.Do not end SQL statements with a semicolon in this component.
Select the table schema. The special value [Environment Default] uses the schema defined in the environment. For more information on using multiple schemas, read Schemas. A name for the table. Only available when the table type is Native.
Select which columns to take from the table as part of the query.
Choose the columns by which to sort rows. If multiple columns are selected, rows are sorted by the first-listed column first, then by the next listed column, and so on.
Select whether rows are sorted in Ascending or Descending order.
Set the limit of returned rows.
Choose the grid variable to be loaded with data resulting from the query.
Map columns from the queried table to the columns of the grid variable.
- Input Column Name: Select an input column. The available input columns vary depending upon the data source.
- Qualifier:
- Is: Compares the column to the value using the comparator.
- Not: Reverses the effect of the comparison, so “Equals” becomes “Not equals”, “Less than” becomes “Greater than or equal to”, etc.
- Comparator: Choose a method of comparing the column to the value. Possible comparators include: “Equal to”, “Greater than”, “Less than”, “Greater than or equal to”, “Less than or equal to”, “Like”, “Null”. “Equal to” can match exact strings and numeric values, while other comparators, such as “Greater than” and “Less than”, will work only with numerics. The “Like” operator allows the wildcard character [%] to be used at the start and end of a string value to match a column. The Null operator matches only null values, ignoring whatever the value is set to. Not all data sources support all comparators, meaning that it is likely that only a subset of the above comparators will be available to choose from.
- Value: The value to be compared.
Select whether to use the defined filters in combination with one another according to either And or Or.
