com.gpudb.protocol

Class AggregateUnpivotRequest

java.lang.Object

com.gpudb.protocol.AggregateUnpivotRequest

All Implemented Interfaces:

org.apache.avro.generic.GenericContainer, org.apache.avro.generic.IndexedRecord

public class AggregateUnpivotRequest
extends Object
implements org.apache.avro.generic.IndexedRecord

A set of parameters for GPUdb.aggregateUnpivotRaw(AggregateUnpivotRequest).

Rotate the column values into rows values.

For unpivot details and examples, see Unpivot. For limitations, see Unpivot Limitations.

Unpivot is used to normalize tables that are built for cross tabular reporting purposes. The unpivot operator rotates the column values for all the pivoted columns. A variable column, value column and all columns from the source table except the unpivot columns are projected into the result table. The variable column and value columns in the result table indicate the pivoted column name and values respectively.

The response is returned as a dynamic schema. For details see: dynamic schemas documentation.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	AggregateUnpivotRequest.Encoding Specifies the encoding for returned records.
static class	AggregateUnpivotRequest.Options Optional parameters.

Constructor Summary

Constructors

Constructor and Description
AggregateUnpivotRequest() Constructs an AggregateUnpivotRequest object with default parameters.
AggregateUnpivotRequest(String tableName, List<String> columnNames, String variableColumnName, String valueColumnName, List<String> pivotedColumns, Map<String,String> options) Constructs an AggregateUnpivotRequest object with the specified parameters.
AggregateUnpivotRequest(String tableName, List<String> columnNames, String variableColumnName, String valueColumnName, List<String> pivotedColumns, String encoding, Map<String,String> options) Constructs an AggregateUnpivotRequest object with the specified parameters.

Method Summary

Modifier and Type	Method and Description
boolean	equals(Object obj)
Object	get(int index) This method supports the Avro framework and is not intended to be called directly by the user.
static org.apache.avro.Schema	getClassSchema() This method supports the Avro framework and is not intended to be called directly by the user.
List<String>	getColumnNames()
String	getEncoding()
Map<String,String>	getOptions()
List<String>	getPivotedColumns()
org.apache.avro.Schema	getSchema() This method supports the Avro framework and is not intended to be called directly by the user.
String	getTableName()
String	getValueColumnName()
String	getVariableColumnName()
int	hashCode()
void	put(int index, Object value) This method supports the Avro framework and is not intended to be called directly by the user.
AggregateUnpivotRequest	setColumnNames(List<String> columnNames)
AggregateUnpivotRequest	setEncoding(String encoding)
AggregateUnpivotRequest	setOptions(Map<String,String> options)
AggregateUnpivotRequest	setPivotedColumns(List<String> pivotedColumns)
AggregateUnpivotRequest	setTableName(String tableName)
AggregateUnpivotRequest	setValueColumnName(String valueColumnName)
AggregateUnpivotRequest	setVariableColumnName(String variableColumnName)
String	toString()

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

AggregateUnpivotRequest

public AggregateUnpivotRequest()

Constructs an AggregateUnpivotRequest object with default parameters.

AggregateUnpivotRequest

public AggregateUnpivotRequest(String tableName,
                               List<String> columnNames,
                               String variableColumnName,
                               String valueColumnName,
                               List<String> pivotedColumns,
                               Map<String,String> options)

Constructs an AggregateUnpivotRequest object with the specified parameters.

Parameters:

tableName - Name of the table on which the operation will be performed. Must be an existing table/view.

columnNames - List of column names or expressions. A wildcard '*' can be used to include all the non-pivoted columns from the source table.

variableColumnName - Specifies the variable/parameter column name. The default value is ''.

valueColumnName - Specifies the value column name. The default value is ''.

pivotedColumns - List of one or more values typically the column names of the input table. All the columns in the source table must have the same data type.

options - Optional parameters.

• COLLECTION_NAME: Name of a collection which is to contain the table specified in result_table. If the collection provided is non-existent, the collection will be automatically created. If empty, then the table will be a top-level table.
• RESULT_TABLE: The name of the table used to store the results. Has the same naming restrictions as tables. If present, no results are returned in the response.
• RESULT_TABLE_PERSIST: If true, then the result table specified in result_table will be persisted and will not expire unless a ttl is specified. If false, then the result table will be an in-memory table and will expire unless a ttl is specified otherwise. Supported values:
  • TRUE
  • FALSE
  The default value is FALSE.
• EXPRESSION: Filter expression to apply to the table prior to unpivot processing.
• ORDER_BY: Comma-separated list of the columns to be sorted by; e.g. 'timestamp asc, x desc'. The columns specified must be present in input table. If any alias is given for any column name, the alias must be used, rather than the original column name. The default value is ''.
• CHUNK_SIZE: Indicates the chunk size to be used for the result table. Must be used in combination with the result_table option.
• LIMIT: The number of records to keep. The default value is ''.
• TTL: Sets the TTL of the table specified in result_table.
• VIEW_ID: view this result table is part of. The default value is ''.
• MATERIALIZE_ON_GPU: If true then the output columns will be cached on the GPU. Supported values:
  • TRUE
  • FALSE
  The default value is FALSE.
• CREATE_INDEXES: Comma-separated list of columns on which to create indexes on the table specified in result_table. The columns specified must be present in output column names. If any alias is given for any column name, the alias must be used, rather than the original column name.
• RESULT_TABLE_FORCE_REPLICATED: Force the result table to be replicated (ignores any sharding). Must be used in combination with the result_table option. Supported values:
  • TRUE
  • FALSE
  The default value is FALSE.

The default value is an empty Map.

AggregateUnpivotRequest

public AggregateUnpivotRequest(String tableName,
                               List<String> columnNames,
                               String variableColumnName,
                               String valueColumnName,
                               List<String> pivotedColumns,
                               String encoding,
                               Map<String,String> options)

Constructs an AggregateUnpivotRequest object with the specified parameters.

Parameters:

tableName - Name of the table on which the operation will be performed. Must be an existing table/view.

columnNames - List of column names or expressions. A wildcard '*' can be used to include all the non-pivoted columns from the source table.

variableColumnName - Specifies the variable/parameter column name. The default value is ''.

valueColumnName - Specifies the value column name. The default value is ''.

pivotedColumns - List of one or more values typically the column names of the input table. All the columns in the source table must have the same data type.

encoding - Specifies the encoding for returned records. Supported values:

• BINARY: Indicates that the returned records should be binary encoded.
• JSON: Indicates that the returned records should be json encoded.

The default value is BINARY.

options - Optional parameters.

• COLLECTION_NAME: Name of a collection which is to contain the table specified in result_table. If the collection provided is non-existent, the collection will be automatically created. If empty, then the table will be a top-level table.
• RESULT_TABLE: The name of the table used to store the results. Has the same naming restrictions as tables. If present, no results are returned in the response.
• RESULT_TABLE_PERSIST: If true, then the result table specified in result_table will be persisted and will not expire unless a ttl is specified. If false, then the result table will be an in-memory table and will expire unless a ttl is specified otherwise. Supported values:
  • TRUE
  • FALSE
  The default value is FALSE.
• EXPRESSION: Filter expression to apply to the table prior to unpivot processing.
• ORDER_BY: Comma-separated list of the columns to be sorted by; e.g. 'timestamp asc, x desc'. The columns specified must be present in input table. If any alias is given for any column name, the alias must be used, rather than the original column name. The default value is ''.
• CHUNK_SIZE: Indicates the chunk size to be used for the result table. Must be used in combination with the result_table option.
• LIMIT: The number of records to keep. The default value is ''.
• TTL: Sets the TTL of the table specified in result_table.
• VIEW_ID: view this result table is part of. The default value is ''.
• MATERIALIZE_ON_GPU: If true then the output columns will be cached on the GPU. Supported values:
  • TRUE
  • FALSE
  The default value is FALSE.
• CREATE_INDEXES: Comma-separated list of columns on which to create indexes on the table specified in result_table. The columns specified must be present in output column names. If any alias is given for any column name, the alias must be used, rather than the original column name.
• RESULT_TABLE_FORCE_REPLICATED: Force the result table to be replicated (ignores any sharding). Must be used in combination with the result_table option. Supported values:
  • TRUE
  • FALSE
  The default value is FALSE.

The default value is an empty Map.

Method Detail

getClassSchema

public static org.apache.avro.Schema getClassSchema()

This method supports the Avro framework and is not intended to be called directly by the user.

Returns:

the schema for the class.

getTableName

public String getTableName()

Returns:

Name of the table on which the operation will be performed. Must be an existing table/view.

setTableName

public AggregateUnpivotRequest setTableName(String tableName)

Parameters:

tableName - Name of the table on which the operation will be performed. Must be an existing table/view.

Returns:

this to mimic the builder pattern.

getColumnNames

public List<String> getColumnNames()

Returns:

List of column names or expressions. A wildcard '*' can be used to include all the non-pivoted columns from the source table.

setColumnNames

public AggregateUnpivotRequest setColumnNames(List<String> columnNames)

Parameters:

columnNames - List of column names or expressions. A wildcard '*' can be used to include all the non-pivoted columns from the source table.

Returns:

this to mimic the builder pattern.

getVariableColumnName

public String getVariableColumnName()

Returns:

Specifies the variable/parameter column name. The default value is ''.

setVariableColumnName

public AggregateUnpivotRequest setVariableColumnName(String variableColumnName)

Parameters:

variableColumnName - Specifies the variable/parameter column name. The default value is ''.

Returns:

this to mimic the builder pattern.

getValueColumnName

public String getValueColumnName()

Returns:

Specifies the value column name. The default value is ''.

setValueColumnName

public AggregateUnpivotRequest setValueColumnName(String valueColumnName)

Parameters:

valueColumnName - Specifies the value column name. The default value is ''.

Returns:

this to mimic the builder pattern.

getPivotedColumns

public List<String> getPivotedColumns()

Returns:

List of one or more values typically the column names of the input table. All the columns in the source table must have the same data type.

setPivotedColumns

public AggregateUnpivotRequest setPivotedColumns(List<String> pivotedColumns)

Parameters:

pivotedColumns - List of one or more values typically the column names of the input table. All the columns in the source table must have the same data type.

Returns:

this to mimic the builder pattern.

getEncoding

public String getEncoding()

Returns:

Specifies the encoding for returned records. Supported values:

• BINARY: Indicates that the returned records should be binary encoded.
• JSON: Indicates that the returned records should be json encoded.

The default value is BINARY.

setEncoding

public AggregateUnpivotRequest setEncoding(String encoding)

Parameters:

encoding - Specifies the encoding for returned records. Supported values:

• BINARY: Indicates that the returned records should be binary encoded.
• JSON: Indicates that the returned records should be json encoded.

The default value is BINARY.

Returns:

this to mimic the builder pattern.

getOptions

public Map<String,String> getOptions()

Returns:

Optional parameters.

• COLLECTION_NAME: Name of a collection which is to contain the table specified in result_table. If the collection provided is non-existent, the collection will be automatically created. If empty, then the table will be a top-level table.
• RESULT_TABLE: The name of the table used to store the results. Has the same naming restrictions as tables. If present, no results are returned in the response.
• RESULT_TABLE_PERSIST: If true, then the result table specified in result_table will be persisted and will not expire unless a ttl is specified. If false, then the result table will be an in-memory table and will expire unless a ttl is specified otherwise. Supported values:
  • TRUE
  • FALSE
  The default value is FALSE.
• EXPRESSION: Filter expression to apply to the table prior to unpivot processing.
• ORDER_BY: Comma-separated list of the columns to be sorted by; e.g. 'timestamp asc, x desc'. The columns specified must be present in input table. If any alias is given for any column name, the alias must be used, rather than the original column name. The default value is ''.
• CHUNK_SIZE: Indicates the chunk size to be used for the result table. Must be used in combination with the result_table option.
• LIMIT: The number of records to keep. The default value is ''.
• TTL: Sets the TTL of the table specified in result_table.
• VIEW_ID: view this result table is part of. The default value is ''.
• MATERIALIZE_ON_GPU: If true then the output columns will be cached on the GPU. Supported values:
  • TRUE
  • FALSE
  The default value is FALSE.
• CREATE_INDEXES: Comma-separated list of columns on which to create indexes on the table specified in result_table. The columns specified must be present in output column names. If any alias is given for any column name, the alias must be used, rather than the original column name.
• RESULT_TABLE_FORCE_REPLICATED: Force the result table to be replicated (ignores any sharding). Must be used in combination with the result_table option. Supported values:
  • TRUE
  • FALSE
  The default value is FALSE.

The default value is an empty Map.

setOptions

public AggregateUnpivotRequest setOptions(Map<String,String> options)

Parameters:

options - Optional parameters.

• COLLECTION_NAME: Name of a collection which is to contain the table specified in result_table. If the collection provided is non-existent, the collection will be automatically created. If empty, then the table will be a top-level table.
• RESULT_TABLE: The name of the table used to store the results. Has the same naming restrictions as tables. If present, no results are returned in the response.
• RESULT_TABLE_PERSIST: If true, then the result table specified in result_table will be persisted and will not expire unless a ttl is specified. If false, then the result table will be an in-memory table and will expire unless a ttl is specified otherwise. Supported values:
  • TRUE
  • FALSE
  The default value is FALSE.
• EXPRESSION: Filter expression to apply to the table prior to unpivot processing.
• ORDER_BY: Comma-separated list of the columns to be sorted by; e.g. 'timestamp asc, x desc'. The columns specified must be present in input table. If any alias is given for any column name, the alias must be used, rather than the original column name. The default value is ''.
• CHUNK_SIZE: Indicates the chunk size to be used for the result table. Must be used in combination with the result_table option.
• LIMIT: The number of records to keep. The default value is ''.
• TTL: Sets the TTL of the table specified in result_table.
• VIEW_ID: view this result table is part of. The default value is ''.
• MATERIALIZE_ON_GPU: If true then the output columns will be cached on the GPU. Supported values:
  • TRUE
  • FALSE
  The default value is FALSE.
• CREATE_INDEXES: Comma-separated list of columns on which to create indexes on the table specified in result_table. The columns specified must be present in output column names. If any alias is given for any column name, the alias must be used, rather than the original column name.
• RESULT_TABLE_FORCE_REPLICATED: Force the result table to be replicated (ignores any sharding). Must be used in combination with the result_table option. Supported values:
  • TRUE
  • FALSE
  The default value is FALSE.

The default value is an empty Map.

Returns:

this to mimic the builder pattern.

getSchema

public org.apache.avro.Schema getSchema()

This method supports the Avro framework and is not intended to be called directly by the user.

Specified by:

getSchema in interface org.apache.avro.generic.GenericContainer

Returns:

the schema object describing this class.

get

public Object get(int index)

This method supports the Avro framework and is not intended to be called directly by the user.

Specified by:

get in interface org.apache.avro.generic.IndexedRecord

Parameters:

index - the position of the field to get

Returns:

value of the field with the given index.

Throws:

IndexOutOfBoundsException

put

public void put(int index,
                Object value)

This method supports the Avro framework and is not intended to be called directly by the user.

Specified by:

put in interface org.apache.avro.generic.IndexedRecord

Parameters:

index - the position of the field to set

value - the value to set

Throws:

IndexOutOfBoundsException

equals

public boolean equals(Object obj)

Overrides:

equals in class Object

toString

public String toString()

Overrides:

toString in class Object

hashCode

public int hashCode()

Overrides:

hashCode in class Object