ELT Insert-Select
In this article
Overview
Use this Snap to perform the INSERT INTO SELECT operation on the specified table. The Snap creates a table and inserts the data if the target table does not exist. After successfully running a Pipeline that contains this Snap, you can check for the data updates made to the target table in one of the following ways:
Validate the Pipeline and review the Snap's output preview data.
Query the target table using ELT Select Snap for the latest data available.
Open the target database and check for the new data in the target table.
Prerequisites
A valid SnapLogic account to connect to the database in which you want to perform the INSERT INTO SELECT operation.
Your database account must have the following permissions:
SELECT privileges for the source table whose data you want to insert into the target table.
CREATE TABLE privileges for the database in which you want to create the table.
INSERT privileges to insert data into the target table.
Limitations
The input data must correspond to the specified table's schema. You can use the ELT Transform Snap to ensure this.
Known Issues
If the last Snap in the Pipeline takes 2 to 5 seconds to update the runtime, the ELT Pipeline statistics are not displayed even after the Pipeline is completed. The UI does not auto-refresh to display the statistics after the runtime.
Workaround: Close the Pipeline statistics window and reopen it to see the ELT Pipeline statistics.When you return to the Snap Statistics tab from the Extra Details tab in the Pipeline Execution Statistics pane, it contains the status bar (Pipeline execution status) instead of the Download Query Details hyperlink and the individual counts of Records Added, Records Updated, and Records Deleted.
When your Databricks Lakehouse Platform instance uses Databricks Runtime Version 8.4 or lower, ELT operations involving large amounts of data might fail due to the smaller memory capacity of 536870912 bytes (512MB) allocated by default. This issue does not occur if you are using Databricks Runtime Version 9.0.
Suggestions displayed for the Schema Name field in this Snap are from all databases that the Snap account user can access, instead of the specific database selected in the Snap's account or Settings.
Snap Input and Output
Input/Output | Type of View | Number of Views | Examples of Upstream and Downstream Snaps | Description |
|---|---|---|---|---|
Input | Document |
|
| The data to be inserted into the target table. Ensure that the data corresponds to the target table's schema. |
Output | Document |
|
| A document containing the SQL SELECT query executed on the target database. |
Snap Settings
SQL Functions and Expressions for ELT
You can use the SQL Expressions and Functions supported for ELT to define your Snap or Account settings with the Expression symbol = enabled, where available. This list is common to all target CDWs supported. You can also use other expressions/functions that your target CDW supports.
Parameter Name | Data Type | Description | Default Value | Example |
|---|---|---|---|---|
Label | String | ELT Insert-Select | Insert Employee Records | |
Get preview data | Checkbox | Not selected | Selected | |
Database Name | String | Required. Enter the name of the database in which the target table is located. Leave it blank to use the database name specified in the account settings. If your target database is Databricks Lakehouse Platform (DLP), you can, alternatively, mention the file format type for your table path in this field. For example, DELTA, CSV, JSON, ORC, AVRO. See Table Path Management for DLP section below to understand the Snap's behavior towards table paths. | N/A | TESTDB |
Schema Name (Not applicable to Databricks Lakehouse Platform) | String | Required. Enter the name of the database schema. In case it is not defined, then the suggestion for the schema name retrieves all schema names in the specified database when you click . | N/A | "TEST_DATA" |
Target Table Name | String | Required. The name of the table or view into which you want to insert the data. Only views that can be updated (have new rows) are listed as suggestions. So, Join views are not included. This also implies that the Snap account user has the Insert privileges on the views listed as suggestions. If your target database is Databricks Lakehouse Platform (DLP), you can, alternatively, mention the target table path in this field. Enclose the DBFS table path between two If you choose to include the schema name as part of the target table name, ensure that it is the same as specified in the Schema Name field, including the double quotes. For example, if the schema name specified is "table_schema_1", then the table name should be "table_schema_1"."tablename". If the target table or view does not exist during run-time, the Snap creates one with the name that you specify in this field and writes the data into it. During Pipeline validation, the Snap creates the new table or view but does not write any records into it.
| N/A | "TEST_DATA"."DIRECT" EMPLOYEE_DATA EMPLOYEE_123_DATA REVENUE"-"OUTLET "net_revenue" |
Advanced Options | Checkbox | Select this checkbox to define the mapping of your source and target table columns scenario with or without the Insert Expressions list. When selected, it activates the Operation Types field. | Deselected | Selected |
Operation Types | Dropdown list | Choose one of the following options that best describes your source data and the INSERT preference:
| Source Columns Order | Some Source and Target Column names are identical |
Table Option List | This field set enables you to specify the table options you want to use on the target table. These options are populated based on the Snap Account (target CDW) selected. You must specify each table option in a separate row. Click to add rows. This field set contains one field:
| |||
Table Option | String/Suggestion | Click the Suggestions icon ( ) to view and select the table option you want to apply for loading data into the target table. | N/A | DISTRIBUTION = HASH ( cust_name ) |
Insert Expression List | This field set enables you to specify the values for a subset of the columns in the target table. The remaining columns are assigned null values automatically. You must specify each column in a separate row. Click to add rows. This field set is disabled if you select All Source and Target Column names are identical in the Operation Types field. This field set consists of the following fields:
You can use this field set to insert data only into an existing table. | |||
Insert Column | String | Enter the name of the column in the target table to assign values. | N/A | ORD_AMOUNT |
Insert Value | String | Enter the value to assign in the specified column. Repeat the column name if you want to use the values in the source table. You can also use expressions to transform the values. | N/A | ORD_AMOUNT ORD_AMOUNT+20 |
Overwrite | Checkbox | Select to overwrite the data in the target table. If not selected, the incoming data is appended. | Not selected | Selected |
Snap behavior in different source and target table column scenarios
Data match (operation) type | Number of source | Number of target | Insert expression | Snap behavior |
|---|---|---|---|---|
Not specified (Advanced Options checkbox is not selected) | Less | More | Yes |
|
Not specified (Advanced Options checkbox is not selected) | Same | Same | Yes |
|
Not specified (Advanced Options checkbox is not selected) | More | Less | Yes |
|
Not specified (Advanced Options checkbox is not selected) | Less | More | No |
|
Not specified (Advanced Options checkbox is not selected) | Same | Same | No |
|
Not specified (Advanced Options checkbox is not selected) | More | Less | No |
|
Source Columns Order | Less | More | No |
|
Source Columns Order | Less | More | Yes |
|
Source Columns Order | Same | Same | No |
|
Source Columns Order | Same | Same | Yes |
|
All Source and Target Column names are identical | Less | More | Not displayed |
|
All Source and Target Column names are identical | Same | Same | Not displayed |
|
Some Source and Target Column names are identical | Less | More | No |
|
Some Source and Target Column names are identical | Less | More | Yes |
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Some Source and Target Column names are identical | Same | Same | No |
|
Some Source and Target Column names are identical | Same | Same | Yes |
|
Any of the three options | More | Less | Yes or No |
|
Table Path Management for DLP
A table path in Databricks Lakehouse Platform is the folder in the DBFS where the files corresponding to the target table are stored. You need to enclose the DBFS table path between two `(backtick/backquote) characters.
File Format Type | Table Path exists?# | All other requirements | Snap Operation Result | |
|---|---|---|---|---|
| 1 | DELTA |