TabularSource Class
Copy activity sources of tabular type.
You probably want to use the sub-classes and not this class directly. Known sub-classes are: AmazonMWSSource, AmazonRdsForSqlServerSource, AmazonRedshiftSource, AzureMariaDBSource, AzureMySqlSource, AzurePostgreSqlSource, AzureSqlSource, AzureTableSource, CassandraSource, ConcurSource, CouchbaseSource, Db2Source, DrillSource, DynamicsAXSource, EloquaSource, GoogleAdWordsSource, GoogleBigQuerySource, GoogleBigQueryV2Source, GreenplumSource, HBaseSource, HiveSource, HubspotSource, ImpalaSource, InformixSource, JiraSource, MagentoSource, MariaDBSource, MarketoSource, MySqlSource, NetezzaSource, OdbcSource, OracleServiceCloudSource, PaypalSource, PhoenixSource, PostgreSqlSource, PostgreSqlV2Source, PrestoSource, QuickBooksSource, ResponsysSource, SalesforceMarketingCloudSource, SalesforceSource, SalesforceV2Source, SapBwSource, SapCloudForCustomerSource, SapEccSource, SapHanaSource, SapOdpSource, SapOpenHubSource, SapTableSource, ServiceNowSource, ServiceNowV2Source, ShopifySource, SparkSource, SqlDWSource, SqlMISource, SqlServerSource, SqlSource, SquareSource, SybaseSource, TeradataSource, VerticaSource, WarehouseSource, XeroSource, ZohoSource
All required parameters must be populated in order to send to server.
- Inheritance
-
azure.mgmt.datafactory.models._models_py3.CopySourceTabularSource
Constructor
TabularSource(*, additional_properties: Dict[str, MutableMapping[str, Any]] | None = None, source_retry_count: MutableMapping[str, Any] | None = None, source_retry_wait: MutableMapping[str, Any] | None = None, max_concurrent_connections: MutableMapping[str, Any] | None = None, disable_metrics_collection: MutableMapping[str, Any] | None = None, query_timeout: MutableMapping[str, Any] | None = None, additional_columns: MutableMapping[str, Any] | None = None, **kwargs: Any)
Keyword-Only Parameters
Name | Description |
---|---|
additional_properties
|
Unmatched properties from the message are deserialized to this collection. |
source_retry_count
|
<xref:JSON>
Source retry count. Type: integer (or Expression with resultType integer). |
source_retry_wait
|
<xref:JSON>
Source retry wait. Type: string (or Expression with resultType string), pattern: ((d+).)?(dd):(60|([0-5][0-9])):(60|([0-5][0-9])). |
max_concurrent_connections
|
<xref:JSON>
The maximum concurrent connection count for the source data store. Type: integer (or Expression with resultType integer). |
disable_metrics_collection
|
<xref:JSON>
If true, disable data store metrics collection. Default is false. Type: boolean (or Expression with resultType boolean). |
query_timeout
|
<xref:JSON>
Query timeout. Type: string (or Expression with resultType string), pattern: ((d+).)?(dd):(60|([0-5][0-9])):(60|([0-5][0-9])). |
additional_columns
|
<xref:JSON>
Specifies the additional columns to be added to source data. Type: array of objects(AdditionalColumns) (or Expression with resultType array of objects). |
Variables
Name | Description |
---|---|
additional_properties
|
Unmatched properties from the message are deserialized to this collection. |
type
|
Copy source type. Required. |
source_retry_count
|
<xref:JSON>
Source retry count. Type: integer (or Expression with resultType integer). |
source_retry_wait
|
<xref:JSON>
Source retry wait. Type: string (or Expression with resultType string), pattern: ((d+).)?(dd):(60|([0-5][0-9])):(60|([0-5][0-9])). |
max_concurrent_connections
|
<xref:JSON>
The maximum concurrent connection count for the source data store. Type: integer (or Expression with resultType integer). |
disable_metrics_collection
|
<xref:JSON>
If true, disable data store metrics collection. Default is false. Type: boolean (or Expression with resultType boolean). |
query_timeout
|
<xref:JSON>
Query timeout. Type: string (or Expression with resultType string), pattern: ((d+).)?(dd):(60|([0-5][0-9])):(60|([0-5][0-9])). |
additional_columns
|
<xref:JSON>
Specifies the additional columns to be added to source data. Type: array of objects(AdditionalColumns) (or Expression with resultType array of objects). |
Azure SDK for Python