Setting Up Data Ingestion for Your ServiceNow Data¶

This topic describes how to set up data ingestion for the Snowflake Connector for ServiceNow.

Note

The Snowflake Connector for ServiceNow ingests data from ServiceNow tables into Snowflake. Data ingestion depends on v2 of the ServiceNow table API.

In this Topic:

Strategies for Ingesting ServiceNow Tables
Parallel Ingestion of ServiceNow Tables
Setting Up Data Ingestion Using Snowsight
- Modifying Data Ingestion Using Snowsight
Setting Up Data Ingestion Using SQL Statements

Strategies for Ingesting ServiceNow Tables¶

Note

The connector can only ingest tables with sys_id columns present.
ServiceNow views are not supported. Instead of ingesting these views, you should synchronize all tables for the underlying view and join the synchronized tables in Snowflake.

The connector uses different ingestion strategies, depending on the table schema. The connector uses three ingestion modes:

The initial load of data occurs for each table when the table is enabled for synchronization.

In this mode, the table is ingested by iterating through the records identified by the IDs in the sys_id column. Once all records are ingested, the initial load phase is completed.
Incremental updates occur only for tables with sys_updated_on or sys_created_on columns.

Incremental updates begin after the initial load is done and occur on a regular schedule that you can configure. In this mode, the connector ingests only the records that were added, updated or deleted since last synchronization.
For tables that do not have sys_updated_on or sys_created_on columns, the connector uses truncate and load mode.

In this mode, the table is always ingested using the initial load approach, and newly ingested data replaces the old data. The connector replaces the data by running the INSERT OVERWRITE command.

Note

In the “incremental updates” mode, the connector uses the sys_updated_on column, if that column is present.

If the column is not present, the connector uses the sys_created_on column instead.
For rotated tables, the connector always uses the sys_created_on column. If the table is rotated using a different column than sys_created_on, the ingestion of that table might cause performance issues.

Parallel Ingestion of ServiceNow Tables¶

The connector ingests a few tables in parallel, but the ingestion of each individual table is a synchronous process. This means that ingesting large tables might block the connector from updating other tables. This issue is more likely to occur during the initial load phase than in the other phases.

Note

If the sys_updated_on or sys_created_on fields are not updated when the record is modified in ServiceNow, those modifications won’t be propagated to Snowflake, which results in data inconsistency. Snowflake recommends that you avoid disabling the update of system fields.
If a record deletion is not audited, information about deleted records won’t be propagated to Snowflake, resulting in a data inconsistency.

Note

Due to restrictions on the Snowflake and ServiceNow REST APIs, the connector cannot ingest a table if a single row exceeds 10 MB of data. In that case, the connector tries to ingest data with the frequency defined in the table schedule. If a row exceeds the limit, the connector generates an error message and continues ingesting another table.

Setting Up Data Ingestion Using Snowsight¶

To set up data ingestion using Snowsight, do the following:

Sign in to Snowsight as a user with the ACCOUNTADMIN role.
In the left navigation, select Marketplace.
Search for the Snowflake Connector for ServiceNow, then select the tile for the connector.
In the page for the Snowflake Connector for ServiceNow, select Select Tables.

This displays a list of all the ServiceNow tables.

Note

The connector can only ingest tables with sys_id columns present.
Select the tables you want to ingest:
1. Search for the table you want to ingest.
2. Select the checkbox in the Status column next to the table you want to select.
3. Under Synch Schedule, select how frequently you want to synchronize the table between Snowflake and ServiceNow.
4. Repeat these steps for each table you want to ingest into Snowflake.
Select the heading of the Status column to see the tables you have currently selected.
Select Start Ingestion to begin ingesting data into your Snowflake account.

The connector status changes to Loading Data. When at least one of the tables is ingested successfully, the connector status changes to Last Successful Load: just now.

Refer to Monitoring the Connector for information on how to view the contents of the tables in Snowflake.

Modifying Data Ingestion Using Snowsight¶

To modify the ServiceNow tables to be ingested or the synchronization schedule for the tables, do the following:

Sign in to Snowsight as a user with the ACCOUNTADMIN role.
In the left navigation, select Marketplace.
Search for the Snowflake Connector for ServiceNow, then select the tile for the connector.
In the page for the Snowflake Connector for ServiceNow, select Edit.
Modify the tables you want to ingest:
1. Search for the table you want to ingest.
2. Select the checkbox in the Status column next to the table you want to select or deselect.
3. Under Synch Schedule, select how frequently you want to synchronize the table between Snowflake and ServiceNow.
Select Update.

Setting Up Data Ingestion Using SQL Statements¶

To set up data ingestion using SQL Statements, do the following:

The schedule for synchronizing the tables.
The list of tables that should be synchronized.

Note

To configure these settings, you use stored procedures that are defined in the PUBLIC schema of the database that serves as an instance of the connector.

Before calling these stored procedures, select that database as the database to use for the session.

For example, if that database is named my_connector_servicenow, run the following command:

USE DATABASE my_connector_servicenow;

Specifying the Synchronization Schedule¶

The Snowflake Connector for ServiceNow synchronizes data from all ServiceNow tables to Snowflake on a specified schedule. By default, all of the tables are synchronized once every hour (1h).

To change the default synchronization schedule for all tables, call the CONFIGURE_CONNECTOR stored procedure with the following arguments:

CALL CONFIGURE_CONNECTOR('data_ingestion_schedule', '<schedule>');

Where:

data_ingestion_schedule (the string literal)
Specifies that you want to configure the schedule for synchronization.

schedule
Specifies the frequency of the synchronization. You can specify one of the following string values:

'30m'

'1h'

'3h'

'6h'

'12h'

'1d'

The connector also allows you to specify a different schedule for each table that is enabled for synchronization. To change the synchronization schedule for a selected set of tables, call the CONFIGURE_CONNECTOR_TABLES stored procedure with the following arguments:

CALL CONFIGURE_CONNECTOR_TABLES('schedule_interval', '<schedule>', '<table_names>');

Where:

schedule

Specifies the frequency of the synchronization. You can specify one of the following string values:

'30m'
'1h'
'3h'
'6h'
'12h'
'1d'

table_names

Specifies a comma-delimited list of the table names.

For these tables, the schedule that you specify in the schedule parameter overrides the default schedule that you set by calling the CONFIGURE_CONNECTOR('data_ingestion_schedule', 'schedule') stored procedure.

Enabling or Disabling the Synchronization of a Table¶

To enable or disable the synchronization of data for a specific table in ServiceNow, call the ENABLE_TABLES stored procedure with the following arguments:

CALL ENABLE_TABLES('<tables_to_configure>', <enable>);

Where:

tables_to_configure

Specifies a comma-delimited list of ServiceNow table names.

Use the table name, not the label displayed in the ServiceNow UI. You can find the table name in the data dictionary tables in ServiceNow. In the ServiceNow UI, go to System Definition » Tables. The Name column displays the name of the table.

enable

Specifies whether or not synchronization should be enabled or disabled for these tables. Specify TRUE to enable or FALSE to disable.

For example, to enable the synchronization of the tables named table1, table2, and table3, run the following command:

CALL ENABLE_TABLES('table1,table2,table3', TRUE);

To prevent these tables from being synchronized, run the following command:

CALL ENABLE_TABLES('table1,table2,table3', FALSE);

Disabling the table stops its synchronization. When the table synchronization is re-enabled, ingestion resumes from where it was paused.

Note

Disabling all tables from synchronization does not mean that the Snowflake Connector for ServiceNow will stop generating costs. Some tasks may run in the background, such as those related to notifications.

The ENABLE_TABLES procedure adds the specified table names to the ENABLED_TABLES view.

If you want to add all tables available in ServiceNow to the ENABLED_TABLES view, call the PREFILL_CONFIG_TABLE stored procedure.

Note

In order for you to call this procedure, the ServiceNow user used by the connector must have access to the sys_db_object table.

To call this procedure, run the following command:

CALL PREFILL_CONFIG_TABLE();

This procedure adds all ServiceNow tables to the ENABLED_TABLES view and disables the tables for ingestion by default.

To enable these newly added tables for synchronization:

Run the following commands to produce a comma-delimited list of the tables in ENABLED_TABLES view:
```
SELECT LISTAGG(TABLE_NAME, ',') FROM ENABLED_TABLES;
```
In the list returned by this command, remove any tables that should not be synchronized.
Call the ENABLE_TABLES stored procedure, and pass in this list.

If new tables have been added recently to ServiceNow, you can identify the new tables and enable those tables for synchronization by using this same approach (i.e. generating the list of tables, editing the list, and passing the list to the ENABLE_TABLES stored procedure).

Note

The connector does not support roll backs or delete recoveries in ServiceNow.

Using the roll back and delete recovery features may result in data inconsistency. Records that are recovered in ServiceNow may still be marked as deleted in Snowflake. To resolve it you can use the RELOAD_TABLE stored procedure.

Reloading Data in a Table¶

To reload data in particular table, call the RELOAD_TABLE stored procedure:

CALL RELOAD_TABLE('<table_name>');

Where:

table_name: Specifies the name of the table to reload.

When you call the RELOAD_TABLE stored procedure, the connector performs the following example:

The connector suspends the original table for ingestion temporarily.

Note

While the table is being reloaded, you cannot re-enable the table for ingestion.
The connector creates a separate temporary table for ingestion.
The connector ingests the data into this new temporary table. This table is visible in the CONNECTOR_STATS view as a table named with a __tmp suffix).
After the data is ingested, the connector replaces the data in the original table with the data in the temporary table.
The connector deletes the temporary table.
The connector re-enables the original table for ingestion.

During this process, you can continue to query the existing data in the original table. However, changes to the data in the ServiceNow table won’t be reflected in the Snowflake table until the ingestion process completes.

To avoid overloading your ServiceNow instance, reload only one table at time.

Canceling Table Reload¶

To cancel the process of reloading the data in a table, use the CANCEL_RELOAD_TABLE stored procedure as shown in the following example:

CALL CANCEL_RELOAD_TABLE('<table_name>');

Where:

table_name: Specifies the name of the table whose reload you want to cancel.

When you cancel the reload, the connector drops all temporary objects created during the reload. The table is then available for ingestion as part of the normal synchronization schedule.