case class SnowflakeInput(name: String, user: String, password: Option[String], token: Option[String], pemPrivateKey: Option[String], url: String, database: String, table: String, schema: String, snowflakeWarehouse: Option[String], options: Option[Map[String, String]], incremental: Option[Incremental]) extends IncrementalReader with DatasourceReader with Product with Serializable
Represents a Snowflake input configuration for data retrieval.
- name
The name of the Snowflake input.
- user
The username for authentication to Snowflake.
- password
An optional password for authentication to Snowflake.
- token
An optional authentication token for Snowflake (OAuth).
- pemPrivateKey
An optional PEM private key path for OAuth authentication to Snowflake.
- url
The Snowflake URL.
- database
The name of the Snowflake database.
- table
The name of the table to read data from in Snowflake.
- schema
The name of the schema (collection) in Snowflake.
- snowflakeWarehouse
An optional warehouse to use for the Snowflake input.
- options
An optional map of additional options for the Snowflake input.
- incremental
An optional incremental configuration for data processing.
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Instance Constructors
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new
SnowflakeInput(name: String, user: String, password: Option[String], token: Option[String], pemPrivateKey: Option[String], url: String, database: String, table: String, schema: String, snowflakeWarehouse: Option[String], options: Option[Map[String, String]], incremental: Option[Incremental])
- name
The name of the Snowflake input.
- user
The username for authentication to Snowflake.
- password
An optional password for authentication to Snowflake.
- token
An optional authentication token for Snowflake (OAuth).
- pemPrivateKey
An optional PEM private key path for OAuth authentication to Snowflake.
- url
The Snowflake URL.
- database
The name of the Snowflake database.
- table
The name of the table to read data from in Snowflake.
- schema
The name of the schema (collection) in Snowflake.
- snowflakeWarehouse
An optional warehouse to use for the Snowflake input.
- options
An optional map of additional options for the Snowflake input.
- incremental
An optional incremental configuration for data processing.
Value Members
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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==(arg0: Any): Boolean
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final
def
asInstanceOf[T0]: T0
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def
clone(): AnyRef
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- val database: String
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final
def
eq(arg0: AnyRef): Boolean
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def
finalize(): Unit
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def
getClass(): Class[_]
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- val incremental: Option[Incremental]
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final
def
isInstanceOf[T0]: Boolean
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val
name: String
The name of the data reader.
The name of the data reader.
- Definition Classes
- SnowflakeInput → Reader
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final
def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
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- val options: Option[Map[String, String]]
- val password: Option[String]
- val pemPrivateKey: Option[String]
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def
persistIncrementalState(): Unit
Persists the incremental state if any.
Persists the incremental state if any.
- Definition Classes
- IncrementalReader
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def
read(sparkSession: SparkSession): DataFrame
Reads data from the Snowflake input based on the configuration.
Reads data from the Snowflake input based on the configuration.
- sparkSession
The SparkSession to use for reading data.
- returns
A DataFrame containing the data read from Snowflake.
- Definition Classes
- SnowflakeInput → Reader
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def
readIncremental(df: DataFrame, incremental: Option[Incremental]): DataFrame
Reads data from a DataFrame with optional incremental settings.
Reads data from a DataFrame with optional incremental settings.
- df
The DataFrame to read data from.
- incremental
Optional Incremental settings to apply.
- returns
A new DataFrame after applying incremental settings if provided, otherwise the original DataFrame.
- Definition Classes
- IncrementalReader
- val schema: String
- val snowflakeWarehouse: Option[String]
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final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
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- val table: String
- val token: Option[String]
- val url: String
- val user: String
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final
def
wait(): Unit
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def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
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