slowloha.blogg.se - Postgresql select database

The Author column contains the value Smith.

This means that if any of the following statements is true, the filter condition is met: In this example, the parent group is using OR logic. For example, the screenshot below shows multiple filter groups. Each filter rule and filter group that belongs to a parent group exists as a single entity for the filter logic. Multiple filter rules can be met, and the results will be the same as if only one were met.įilter groups have simple parent/child relationships.

If you select OR, at least one filter rule within the group must be true for the filter conditions to be met.

If you select AND, every filter rule within the group must be true for the filter conditions to be met.

Select either AND or OR to determine the group logic for multiple filters.

For example, in the Author filter shown above, checking the NOT box instructs the connector to select Author values that do not contain the value Smith.

You can check the NOT box to invert the filter conditions.

You can create multiple groups to separate filter rules by clicking Add group.Įach filter rule within a group interacts with one another based on the options you select at the top of the group: Filter rules are separated by groups, and all filters belong to the same group by default. You can apply multiple filter rules to your connector by clicking Add rule and creating more rules.

With this filter rule in place, the connector only selects values in the Author column that contain the value Smith. The image below shows an example of a filter rule on a column named Author. When your filter rule is complete, its background changes from red to white.If your chosen filtering condition does not require a value (for example, if you choose Is Null), the value field disappears. If your chosen filtering condition requires a value, enter that value in the blank value field.For example, a long data type has the condition Greater Than, whereas a string data type does not. The available filtering conditions depend on the data type for the column you select.In the new drop-down list, choose the filtering condition. In the drop-down list for the new rule, choose the column that you want to filter.To create a filter rule, follow these steps: Note: The filter feature is optional, and you do not have to apply a filter to your data if it does not suit your use case. The connector translates your filter rules into query syntax, and the syntax appears in the Query pane at the bottom of the connector configuration page. FiltersĪfter selecting a table, you can optionally use the Filter pane to filter the data that the connector selects. Note: You can select more tables by clicking + Add and repeating this process. You can exclude individual columns by un-checking them. the primary key, foreign keys, etc) and labels them accordingly.īy default, all of the columns are selected for inclusion in the action for the PostgreSQL connector. The connector automatically detects values that have special relevance (e.g. The chosen table appears under the Tables pane, and the columns in the table appear under the Columns pane. Select the desired table and click + Add. Click the + Add button above the Tables pane.Ī modal appears and lists all available tables. If you choose Select for the PostgreSQL connector, you must select a target table (or tables) from PostgreSQL. The Select action retrieves data from PostgreSQL and brings it into CData Arc.