Package | Description |
---|---|
org.apache.hadoop.hive.contrib.udtf.example | |
org.apache.hadoop.hive.ql.exec |
Hive QL execution tasks, operators, functions and other handlers.
|
org.apache.hadoop.hive.ql.plan | |
org.apache.hadoop.hive.ql.udf.generic |
Standard toolkit and framework for generic User-defined functions.
|
Modifier and Type | Class and Description |
---|---|
class |
GenericUDTFCount2
GenericUDTFCount2 outputs the number of rows seen, twice.
|
class |
GenericUDTFExplode2
GenericUDTFExplode2.
|
Modifier and Type | Method and Description |
---|---|
static GenericUDTF |
FunctionRegistry.cloneGenericUDTF(GenericUDTF genericUDTF)
Create a copy of an existing GenericUDTF.
|
GenericUDTF |
FunctionInfo.getGenericUDTF()
Get a new GenericUDTF object for the function.
|
Modifier and Type | Method and Description |
---|---|
static GenericUDTF |
FunctionRegistry.cloneGenericUDTF(GenericUDTF genericUDTF)
Create a copy of an existing GenericUDTF.
|
Modifier and Type | Method and Description |
---|---|
FunctionInfo |
Registry.registerGenericUDTF(String functionName,
Class<? extends GenericUDTF> genericUDTFClass,
FunctionInfo.FunctionResource... resources) |
Constructor and Description |
---|
FunctionInfo(boolean isNative,
String displayName,
GenericUDTF genericUDTF,
FunctionInfo.FunctionResource... resources) |
Modifier and Type | Method and Description |
---|---|
GenericUDTF |
UDTFDesc.getGenericUDTF() |
Modifier and Type | Method and Description |
---|---|
void |
UDTFDesc.setGenericUDTF(GenericUDTF genericUDTF) |
Constructor and Description |
---|
UDTFDesc(GenericUDTF genericUDTF,
boolean outerLV) |
Modifier and Type | Class and Description |
---|---|
class |
GenericUDTFExplode
GenericUDTFExplode.
|
class |
GenericUDTFGetSplits
GenericUDTFGetSplits.
|
class |
GenericUDTFInline |
class |
GenericUDTFJSONTuple
GenericUDTFJSONTuple: this
|
class |
GenericUDTFParseUrlTuple
GenericUDTFParseUrlTuple: this
|
class |
GenericUDTFPosExplode
PosExplode.
|
class |
GenericUDTFStack
Takes a row of size k of data and splits it into n rows of data.
|
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