• Prerequisites
• Query Builder
  • Combine Data from Additional Tables
  • Add Dimensions to Results
  • Add Metrics to Aggregate Data
  • Add Filters to the Data
  • Sort the Data
  • Execute and Save the Query

The CData Connect Cloud Query Builder allows you to build queries from your data without needing to write SQL code.

Prerequisites

Before you can use the Query Builder, you must properly configure a connection within CData Connect Cloud. For more information about configuring a connection, see Connections. You can select any of your pre-made connections to query.

Query Builder

To access the Query Builder, click Query Builder on the top right of the Data Explorer page.

After you click Query Builder, a Query Builder dialog appears.

To start configuring Query Builder, follow these steps:

1. Select a CData Connect Cloud connection from the Connection list.

2. Select a schema for the connection from the Schema field.

3. Select the table you are interested in querying from the Table field. Note: You can add additional tables in the Add Data step.

4. Click Confirm. Your initial query appears in the Query Builder.

   

You are now ready to add other elements to your query, such as additional tables, dimensions, metrics, filters, and sorts. At any time, you can click the SQL tab to see your Query Builder query as SQL code. Click the Preview tab to preview the query results.

Combine Data from Additional Tables

The Query Builder can create queries from multiple tables. To add a table to your query, follow these steps:

1. In the Builder tab of the Query Builder, click Add Data. An Add Data dialog appears.

   

2. Choose a Join Type. The join types available in Query Builder are as follows:

   • Inner Join—this is the most common type of join. CData Connect Cloud combines records from the original and added table whenever there are matching values in a column common to both tables. It is equivalent to INNER JOIN in SQL.
   • Right Join—this type of join returns all records from the added (new) table, plus the matching records from the original table. It is equivalent to RIGHT JOIN in SQL.
   • Left Join—this type of join returns all records from the original table, plus the matching records from the added table. It is equivalent to LEFT JOIN in SQL.
   • Full Outer Join—this type of join returns all records where there is a match in either the original table or in the added table. If there is no match, the result contains NULL values for columns from the table that does not have a matching row. It is equivalent to FULL JOIN in SQL. This join results in the largest data set.

3. Select a Connection containing the new table you want to add.

4. Select the Schema containing the new table.

5. Select the Table Name to add.

6. Select the Column Name in the original table and the new table. This is the column on which to join the two tables. Note that the joining columns must be of the same data type.

7. Click Confirm to save your new table. Your new table appears in the Query Builder in the Data section.

   

8. Click the SQL tab to view your query in SQL code:

   

9. Click Add Data again to join additional tables. You can add a maximum of three joined tables. Click the edit icon to edit the joined table and the delete icon to delete the joined table.

Add Dimensions to Results

A dimension is a categorical variable used to describe and segment data. It represents qualitative attributes and is often used to group or filter data. Dimensions help in breaking down data into more meaningful segments and provide context. For example, if you have sales data, the dimensions might include the sales region or the time period.

To add dimensions to your Query Builder results, follow these steps:

1. In the Dimensions section of the Query Builder, click Add Dimensions. An Add Dimensions dialog appears.

2. For each table in the query, select column names from the drop-down list. These are the columns you want to see in the result set.

3. Click Confirm. All the columns you selected appear in the Dimensions section of the Query Builder. Hover over the dimension to view the full table name.

   

4. You can drag and drop the columns to change the order. Click Add Dimensions to add more dimensions. Click the X on the dimension to delete the dimension.

Add Metrics to Aggregate Data

A metric is a quantitative measure used to assess performance or progress. It represents numerical values that can be aggregated, compared, or analyzed. Metrics provide the actual data points that are measured and analyzed. They are used to evaluate the performance and outcomes based on the dimensions. For example, you can display the total dollar amount of sales with SUM or count the number of unique clients with DISTINCT COUNT.

To add metrics to your Query Builder results, follow these steps:

1. In the Metrics section of the Query Builder, click Add Metrics. An Add Metrics dialog appears.

2. Select the table name, column name, and the metric type to use to aggregate the results. Note that the metric types displayed depend on the column type. For example, string columns can use only COUNT or DISTINCT COUNT.

3. Click Confirm. The column and the metric to use appear in the Metrics sections of the Query Builder. Hover over the metric to view the full table name.

   

4. You can drag and drop the columns to change the order. Click Add Metrics to add more metrics. Click the X on the metric to delete the metric.

Add Filters to the Data

Filters refine your data so that only relevant information is included in your query results.

The SQL operator to apply to your query depends on the data type of the column. If the column is a text data type, you can choose the following operators only:

• Equal to
• Not equal to

If the column is numeric or alphanumeric, you can choose the following operators only:

• Between
• Equal to
• Greater than
• Greater than or equal to
• Less than
• Less than or equal to
• Not equal to

To add filters to your Query Builder results, follow these steps:

1. In the Filters section of the Query Builder, click Add Filters. An Add Filters dialog appears.

2. Select the table name, column name, the SQL operator to apply, and the value for the filter.

3. Click Confirm. The column, operator type, and value appear in the Filters section of the Query Builder.

   

4. Click Add Filters to add more columns to filter, if desired. Choose whether all filter conditions must be true (And) or at least one of the filters are true (Or).

5. Use the edit icon to edit the filter definition, and the delete icon to delete the filter.

Sort the Data

To sort the resulting data, follow these steps:

1. In the Sort section of the Query Builder, click Add Sorts. An Add Sorts dialog appears.

2. Select the table name and column name to sort.

3. Select whether the sort is ascending or descending.

4. Click Confirm. The table name, column name, and the sort type appear in the Sort section of the Query Builder.

5. Click Add Sorts to add more columns to sort, if desired. Use the grid icon to the left to change the order of the sort columns. Click the edit icon to edit the sort definition, and the delete icon to delete the sort.

   

Execute and Save the Query

To execute and save the query, follow these steps:

1. When you are satisfied with the preview of your query, click Execute to execute the query. The query results appear in a new tab.

   

2. Click Save to save the query as either a saved query or as a derived view. A Save dialog appears.

3. Enter the saved query or derived view name, and click Confirm. The saved query or derived view appears in the Data Explorer.

4. Click Download CSV to save your query results as a CSV file.

5. You can also save your SQL query by clicking Copy in the SQL tab of the Query Builder and pasting it into any text editor.