Google Spanner Ingestion Source

See the Connector Marketplace topic. Please request your administrator to start a trial or subscribe to the Premium Google Spanner connector.

In Gathr, it can be added as a channel to help in fetching customers’ and prospects’ data and transform it as needed before storing it in a desired data warehouse to run further analytics.

Data Source Configuration #

Configure the data source parameters as explained below.

Fetch From Source/Upload Data File #

To design the application, you can either fetch the sample data from the Google Spanner source by providing the data source connection details or upload a sample data file in one of the supported formats to see the schema details during the application design phase.

Upload Data File #

To design the application, please upload a data file containing sample records in a format supported by Gathr.

The sample data provided for application design should match the data source schema from which data will be fetched during runtime.

If Upload Data File method is selected to design the application, provide the below details.

File Format #

Select the format of the sample file depending on the file type.

Gathr-supported file formats for Google Spanner data sources are CSV, JSON, TEXT, Parquet and ORC.

For CSV file format, select its corresponding delimiter.

Header Included #

Enable this option to read the first row as a header if your Google Spanner sample data file is in CSV format.

Upload #

Please upload the sample file as per the file format selected above.

Fetch From Source #

If Fetch From Source method is selected to design the application, then the data source connection details will be used to get sample data.

Continue to configure the data source.

Connection Name #

Connections are the service identifiers. A connection name can be selected from the list if you have created and saved connection details for Google Spanner earlier. Or create one as explained in the topic - Google Spanner Connection →

Use the Test Connection option to ensure that the connection with the Google Spanner channel is established successfully.

A success message states that the connection is available. In case of any error in test connection, edit the connection to resolve the issue before proceeding further.

Schema Name #

Schema names will list as per the configured connection.

Select the schema name to be read from.

Entity #

Tables in Google Spanner are statically defined to model Google Spanner entities.

If you selected the Fetch From Source method to design the application, the Entities will list as per the configured connection. Select the entity to be read from Google Spanner.

If you selected the Upload Data File method to design the application, the exact name of the entity should be provided to read the data from Google Spanner.

If you selected the Fetch From Source method to design the application, the Fields would list as per the Entity chosen in the previous configuration parameter. Select the fields or provide a custom query to read the desired records from Google Spanner.

Fields #

The conditions to fetch source data from a Google Spanner table can be specified using this option.

Select Fields: Select the column(s) of the entity that should be read.

Custom Query: Provide an SQL query specifying the read conditions for the source data.

Example: SELECT "Id" FROM Companies

If you selected the Upload Data File method to design the application, provide a custom query to fetch records from the Google Spanner entity specified in the previous configuration.

Query #

The conditions to fetch source data from a Google Spanner table can be specified using this option.

Provide an SQL query specifying the read conditions for the source data.

Example: SELECT "Id" FROM Companies

Read Options #

This section contains additional read options.

Include Pseudo Columns #

This property indicates whether or not to include pseudo columns as columns to the table.

Query Passthrough #

This opttion passes the query to the Google Spanner server as is.

Partitioning #

This section contains partitioning configurations.

Enable Partitioning #

This enables parallel reading of the data from the entity.

Partitioning is disabled by default.

If enabled, an additional option will appear to configure the partitioning conditions.

Column #

The selected column will be used to partition the data.

Max Rows per Partition: Enter the maximum number of rows to be read in a single request.

Example: 10,000

It implies that a maximum number of 10,000 rows can be read in one partition.

Advanced Configurations #

This section contains advanced configuration parameters.

Fetch Size #

The fetch size determines the number of rows to be fetched per round trip. The default value is 1000.

Add Configuration: Additional properties can be added using this option as key-value pairs.

Schema #

Check the populated schema details. For more details, see Schema Preview →