org.apache.flink.table.functions.hive

类 HiveGenericUDAF

java.lang.Object

org.apache.flink.table.functions.UserDefinedFunction

org.apache.flink.table.functions.UserDefinedAggregateFunction<T,ACC>

org.apache.flink.table.functions.AggregateFunction<Object,org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator.AggregationBuffer>

org.apache.flink.table.functions.hive.HiveGenericUDAF

所有已实现的接口:

Serializable, org.apache.flink.table.functions.FunctionDefinition, HiveFunction

@Internal
public class HiveGenericUDAF
extends org.apache.flink.table.functions.AggregateFunction<Object,org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator.AggregationBuffer>
implements HiveFunction

An AggregateFunction implementation that calls Hive's UDAF or GenericUDAFEvaluator.

另请参阅:

序列化表格

构造器概要

构造器

构造器和说明
HiveGenericUDAF(HiveFunctionWrapper funcWrapper, boolean isUDAFBridgeRequired, HiveShim hiveShim)
HiveGenericUDAF(HiveFunctionWrapper funcWrapper, HiveShim hiveShim)

方法概要

限定符和类型	方法和说明
void	accumulate(org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator.AggregationBuffer acc, Object... inputs)
org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator.AggregationBuffer	createAccumulator() This is invoked without calling open() in Blink, so we need to call init() for getNewAggregationBuffer().
org.apache.flink.api.common.typeinfo.TypeInformation<org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator.AggregationBuffer>	getAccumulatorType()
org.apache.flink.table.types.DataType	getHiveResultType(Object[] constantArguments, org.apache.flink.table.types.DataType[] argTypes) Get result type by arguments and argTypes.
org.apache.flink.api.common.typeinfo.TypeInformation	getResultType()
Object	getValue(org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator.AggregationBuffer accumulator)
void	merge(org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator.AggregationBuffer accumulator, Iterable<org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator.AggregationBuffer> its)
void	open(org.apache.flink.table.functions.FunctionContext context)
void	setArgumentTypesAndConstants(Object[] constantArguments, org.apache.flink.table.types.DataType[] argTypes) Set arguments and argTypes for Function instance.

从类继承的方法 org.apache.flink.table.functions.AggregateFunction

getKind, getRequirements, requiresOver

从类继承的方法 org.apache.flink.table.functions.UserDefinedFunction

close, functionIdentifier, toString

从类继承的方法 java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

从接口继承的方法 org.apache.flink.table.functions.FunctionDefinition

isDeterministic

构造器详细资料

HiveGenericUDAF

public HiveGenericUDAF(HiveFunctionWrapper funcWrapper,
                       HiveShim hiveShim)

HiveGenericUDAF

public HiveGenericUDAF(HiveFunctionWrapper funcWrapper,
                       boolean isUDAFBridgeRequired,
                       HiveShim hiveShim)

方法详细资料

open

public void open(org.apache.flink.table.functions.FunctionContext context)
          throws Exception

覆盖:

open 在类中 org.apache.flink.table.functions.UserDefinedFunction

抛出:

Exception

createAccumulator

public org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator.AggregationBuffer createAccumulator()

This is invoked without calling open() in Blink, so we need to call init() for getNewAggregationBuffer(). TODO: re-evaluate how this will fit into Flink's new type inference and udf systemß

指定者:

createAccumulator 在类中 org.apache.flink.table.functions.UserDefinedAggregateFunction<Object,org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator.AggregationBuffer>

accumulate

public void accumulate(org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator.AggregationBuffer acc,
                       Object... inputs)
                throws org.apache.hadoop.hive.ql.metadata.HiveException

抛出:

org.apache.hadoop.hive.ql.metadata.HiveException

merge

public void merge(org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator.AggregationBuffer accumulator,
                  Iterable<org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator.AggregationBuffer> its)
           throws org.apache.hadoop.hive.ql.metadata.HiveException

抛出:

org.apache.hadoop.hive.ql.metadata.HiveException

getValue

public Object getValue(org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator.AggregationBuffer accumulator)

指定者:

getValue 在类中 org.apache.flink.table.functions.AggregateFunction<Object,org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator.AggregationBuffer>

setArgumentTypesAndConstants

public void setArgumentTypesAndConstants(Object[] constantArguments,
                                         org.apache.flink.table.types.DataType[] argTypes)

从接口复制的说明: HiveFunction

Set arguments and argTypes for Function instance. In this way, the correct method can be really deduced by the function instance.

指定者:

setArgumentTypesAndConstants 在接口中 HiveFunction

参数:

constantArguments - arguments of a function call (only literal arguments are passed, nulls for non-literal ones)

argTypes - types of arguments

getHiveResultType

public org.apache.flink.table.types.DataType getHiveResultType(Object[] constantArguments,
                                                               org.apache.flink.table.types.DataType[] argTypes)

从接口复制的说明: HiveFunction

Get result type by arguments and argTypes.

We can't use getResultType(Object[], Class[]). The Class[] is the classes of what is defined in eval(), for example, if eval() is "public Integer eval(Double)", the argTypes would be Class[Double]. However, in our wrapper, the signature of eval() is "public Object eval(Object... args)", which means we cannot get any info from the interface.

指定者:

getHiveResultType 在接口中 HiveFunction

参数:

constantArguments - arguments of a function call (only literal arguments are passed, nulls for non-literal ones)

argTypes - types of arguments

返回:

result type.

getResultType

public org.apache.flink.api.common.typeinfo.TypeInformation getResultType()

覆盖:

getResultType 在类中 org.apache.flink.table.functions.UserDefinedAggregateFunction<Object,org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator.AggregationBuffer>

getAccumulatorType

public org.apache.flink.api.common.typeinfo.TypeInformation<org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator.AggregationBuffer> getAccumulatorType()

覆盖:

getAccumulatorType 在类中 org.apache.flink.table.functions.UserDefinedAggregateFunction<Object,org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator.AggregationBuffer>