SparkSQL (AWS SDK for Java

java.lang.Object
- com.amazonaws.services.glue.model.SparkSQL

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable
```
@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class SparkSQL
extends Object
implements Serializable, Cloneable, StructuredPojo
```
Specifies a transform where you enter a SQL query using Spark SQL syntax to transform the data. The output is a single DynamicFrame.

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors
Constructor and Description

SparkSQL()

Constructors
Constructor and Description
`SparkSQL()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`SparkSQL`	`clone()`
`boolean`	`equals(Object obj)`
`List<String>`	`getInputs()` The data inputs identified by their node names.
`String`	`getName()` The name of the transform node.
`List<GlueSchema>`	`getOutputSchemas()` Specifies the data schema for the SparkSQL transform.
`List<SqlAlias>`	`getSqlAliases()` A list of aliases.
`String`	`getSqlQuery()` A SQL query that must use Spark SQL syntax and return a single data set.
`int`	`hashCode()`
`void`	`marshall(ProtocolMarshaller protocolMarshaller)` Marshalls this structured data using the given `ProtocolMarshaller`.
`void`	`setInputs(Collection<String> inputs)` The data inputs identified by their node names.
`void`	`setName(String name)` The name of the transform node.
`void`	`setOutputSchemas(Collection<GlueSchema> outputSchemas)` Specifies the data schema for the SparkSQL transform.
`void`	`setSqlAliases(Collection<SqlAlias> sqlAliases)` A list of aliases.
`void`	`setSqlQuery(String sqlQuery)` A SQL query that must use Spark SQL syntax and return a single data set.
`String`	`toString()` Returns a string representation of this object.
`SparkSQL`	`withInputs(Collection<String> inputs)` The data inputs identified by their node names.
`SparkSQL`	`withInputs(String... inputs)` The data inputs identified by their node names.
`SparkSQL`	`withName(String name)` The name of the transform node.
`SparkSQL`	`withOutputSchemas(Collection<GlueSchema> outputSchemas)` Specifies the data schema for the SparkSQL transform.
`SparkSQL`	`withOutputSchemas(GlueSchema... outputSchemas)` Specifies the data schema for the SparkSQL transform.
`SparkSQL`	`withSqlAliases(Collection<SqlAlias> sqlAliases)` A list of aliases.
`SparkSQL`	`withSqlAliases(SqlAlias... sqlAliases)` A list of aliases.
`SparkSQL`	`withSqlQuery(String sqlQuery)` A SQL query that must use Spark SQL syntax and return a single data set.

Methods inherited from class java.lang.Object
getClass, notify, notifyAll, wait, wait, wait

- Constructor Detail
  - SparkSQL
```
public SparkSQL()
```
- Method Detail
  - setName
```
public void setName(String name)
```
    The name of the transform node.
    
    Parameters:
    
    name - The name of the transform node.
  - getName
```
public String getName()
```
    The name of the transform node.
    
    Returns:
    
    The name of the transform node.
  - withName
```
public SparkSQL withName(String name)
```
    The name of the transform node.
    
    Parameters:
    
    name - The name of the transform node.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - getInputs
```
public List<String> getInputs()
```
    The data inputs identified by their node names. You can associate a table name with each input node to use in the SQL query. The name you choose must meet the Spark SQL naming restrictions.
    
    Returns:
    
    The data inputs identified by their node names. You can associate a table name with each input node to use in the SQL query. The name you choose must meet the Spark SQL naming restrictions.
  - setInputs
```
public void setInputs(Collection<String> inputs)
```
    The data inputs identified by their node names. You can associate a table name with each input node to use in the SQL query. The name you choose must meet the Spark SQL naming restrictions.
    
    Parameters:
    
    inputs - The data inputs identified by their node names. You can associate a table name with each input node to use in the SQL query. The name you choose must meet the Spark SQL naming restrictions.
  - withInputs
```
public SparkSQL withInputs(String... inputs)
```
    The data inputs identified by their node names. You can associate a table name with each input node to use in the SQL query. The name you choose must meet the Spark SQL naming restrictions.
    
    NOTE: This method appends the values to the existing list (if any). Use setInputs(java.util.Collection) or withInputs(java.util.Collection) if you want to override the existing values.
    
    Parameters:
    
    inputs - The data inputs identified by their node names. You can associate a table name with each input node to use in the SQL query. The name you choose must meet the Spark SQL naming restrictions.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - withInputs
```
public SparkSQL withInputs(Collection<String> inputs)
```
    The data inputs identified by their node names. You can associate a table name with each input node to use in the SQL query. The name you choose must meet the Spark SQL naming restrictions.
    
    Parameters:
    
    inputs - The data inputs identified by their node names. You can associate a table name with each input node to use in the SQL query. The name you choose must meet the Spark SQL naming restrictions.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setSqlQuery
```
public void setSqlQuery(String sqlQuery)
```
    A SQL query that must use Spark SQL syntax and return a single data set.
    
    Parameters:
    
    sqlQuery - A SQL query that must use Spark SQL syntax and return a single data set.
  - getSqlQuery
```
public String getSqlQuery()
```
    A SQL query that must use Spark SQL syntax and return a single data set.
    
    Returns:
    
    A SQL query that must use Spark SQL syntax and return a single data set.
  - withSqlQuery
```
public SparkSQL withSqlQuery(String sqlQuery)
```
    A SQL query that must use Spark SQL syntax and return a single data set.
    
    Parameters:
    
    sqlQuery - A SQL query that must use Spark SQL syntax and return a single data set.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - getSqlAliases
```
public List<SqlAlias> getSqlAliases()
```
    A list of aliases. An alias allows you to specify what name to use in the SQL for a given input. For example, you have a datasource named "MyDataSource". If you specify From as MyDataSource, and Alias as SqlName, then in your SQL you can do:
    
    select * from SqlName
    
    and that gets data from MyDataSource.
    
    Returns:
    
    A list of aliases. An alias allows you to specify what name to use in the SQL for a given input. For example, you have a datasource named "MyDataSource". If you specify From as MyDataSource, and Alias as SqlName, then in your SQL you can do:
    
    select * from SqlName
    
    and that gets data from MyDataSource.
  - setSqlAliases
```
public void setSqlAliases(Collection<SqlAlias> sqlAliases)
```
    A list of aliases. An alias allows you to specify what name to use in the SQL for a given input. For example, you have a datasource named "MyDataSource". If you specify From as MyDataSource, and Alias as SqlName, then in your SQL you can do:
    
    select * from SqlName
    
    and that gets data from MyDataSource.
    
    Parameters:
    
    sqlAliases - A list of aliases. An alias allows you to specify what name to use in the SQL for a given input. For example, you have a datasource named "MyDataSource". If you specify From as MyDataSource, and Alias as SqlName, then in your SQL you can do:
    
    select * from SqlName
    
    and that gets data from MyDataSource.
  - withSqlAliases
```
public SparkSQL withSqlAliases(SqlAlias... sqlAliases)
```
    A list of aliases. An alias allows you to specify what name to use in the SQL for a given input. For example, you have a datasource named "MyDataSource". If you specify From as MyDataSource, and Alias as SqlName, then in your SQL you can do:
    
    select * from SqlName
    
    and that gets data from MyDataSource.
    
    NOTE: This method appends the values to the existing list (if any). Use setSqlAliases(java.util.Collection) or withSqlAliases(java.util.Collection) if you want to override the existing values.
    
    Parameters:
    
    sqlAliases - A list of aliases. An alias allows you to specify what name to use in the SQL for a given input. For example, you have a datasource named "MyDataSource". If you specify From as MyDataSource, and Alias as SqlName, then in your SQL you can do:
    
    select * from SqlName
    
    and that gets data from MyDataSource.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - withSqlAliases
```
public SparkSQL withSqlAliases(Collection<SqlAlias> sqlAliases)
```
    A list of aliases. An alias allows you to specify what name to use in the SQL for a given input. For example, you have a datasource named "MyDataSource". If you specify From as MyDataSource, and Alias as SqlName, then in your SQL you can do:
    
    select * from SqlName
    
    and that gets data from MyDataSource.
    
    Parameters:
    
    sqlAliases - A list of aliases. An alias allows you to specify what name to use in the SQL for a given input. For example, you have a datasource named "MyDataSource". If you specify From as MyDataSource, and Alias as SqlName, then in your SQL you can do:
    
    select * from SqlName
    
    and that gets data from MyDataSource.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - getOutputSchemas
```
public List<GlueSchema> getOutputSchemas()
```
    Specifies the data schema for the SparkSQL transform.
    
    Returns:
    
    Specifies the data schema for the SparkSQL transform.
  - setOutputSchemas
```
public void setOutputSchemas(Collection<GlueSchema> outputSchemas)
```
    Specifies the data schema for the SparkSQL transform.
    
    Parameters:
    
    outputSchemas - Specifies the data schema for the SparkSQL transform.
  - withOutputSchemas
```
public SparkSQL withOutputSchemas(GlueSchema... outputSchemas)
```
    Specifies the data schema for the SparkSQL transform.
    
    NOTE: This method appends the values to the existing list (if any). Use setOutputSchemas(java.util.Collection) or withOutputSchemas(java.util.Collection) if you want to override the existing values.
    
    Parameters:
    
    outputSchemas - Specifies the data schema for the SparkSQL transform.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - withOutputSchemas
```
public SparkSQL withOutputSchemas(Collection<GlueSchema> outputSchemas)
```
    Specifies the data schema for the SparkSQL transform.
    
    Parameters:
    
    outputSchemas - Specifies the data schema for the SparkSQL transform.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - toString
```
public String toString()
```
    Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.
    
    Overrides:
    
    toString in class Object
    
    Returns:
    
    A string representation of this object.
    
    See Also:
    
    Object.toString()
  - equals
```
public boolean equals(Object obj)
```
    Overrides:
    
    equals in class Object
  - hashCode
```
public int hashCode()
```
    Overrides:
    
    hashCode in class Object
  - clone
```
public SparkSQL clone()
```
    Overrides:
    
    clone in class Object
  - marshall
```
public void marshall(ProtocolMarshaller protocolMarshaller)
```
    Description copied from interface: StructuredPojo
    
    Marshalls this structured data using the given ProtocolMarshaller.
    
    Specified by:
    
    marshall in interface StructuredPojo
    
    Parameters:
    
    protocolMarshaller - Implementation of ProtocolMarshaller used to marshall this object's data.

AWS SDK for Java 1.x API Reference - 1.12.780

Class SparkSQL

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

SparkSQL

Method Detail

setName

getName

withName

getInputs

setInputs

withInputs

withInputs

setSqlQuery

getSqlQuery

withSqlQuery

getSqlAliases

setSqlAliases

withSqlAliases

withSqlAliases

getOutputSchemas

setOutputSchemas

withOutputSchemas

withOutputSchemas

toString

equals

hashCode

clone

marshall