class CopyableDataFrameAsyncActor extends DataFrameAsyncActor
Provides APIs to execute CopyableDataFrame actions asynchronously.
- Since
-
0.11.0
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- DataFrameAsyncActor
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def
action
[
T
]
(
funcName:
String
)
(
func: ⇒
T
)
:
T
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- CopyableDataFrameAsyncActor → DataFrameAsyncActor
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- @inline ()
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final
def
asInstanceOf
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T0
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clone
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def
collect
()
:
TypedAsyncJob
[
Array
[
Row
]]
Executes DataFrame.collect asynchronously.
Executes DataFrame.collect asynchronously.
- returns
-
A TypedAsyncJob object that you can use to check the status of the action and get the results.
- Definition Classes
- DataFrameAsyncActor
- Since
-
0.11.0
-
def
copyInto
(
tableName:
String
,
targetColumnNames:
Seq
[
String
]
,
transformations:
Seq
[
Column
]
,
options:
Map
[
String
,
Any
]
)
:
TypedAsyncJob
[
Unit
]
Executes
CopyableDataFrame.copyInto
asynchronously.Executes
CopyableDataFrame.copyInto
asynchronously.- tableName
-
Name of the table where the data should be saved.
- targetColumnNames
-
Name of the columns in the table where the data should be saved.
- transformations
-
Seq of Column expressions that specify the transformations to apply (similar to transformation parameters ).
- options
-
Map of the names of options (e.g. { @code compression}, { @code skip_header}, etc.) and their corresponding values.NOTE: By default, the
CopyableDataFrame
object uses the options set in the DataFrameReader used to create that object. You can use thisoptions
parameter to override the default options or set additional options. - returns
-
A TypedAsyncJob object that you can use to check the status of the action and get the results.
- Since
-
0.11.0
-
def
copyInto
(
tableName:
String
,
transformations:
Seq
[
Column
]
,
options:
Map
[
String
,
Any
]
)
:
TypedAsyncJob
[
Unit
]
Executes
CopyableDataFrame.copyInto
asynchronously.Executes
CopyableDataFrame.copyInto
asynchronously.- tableName
-
Name of the table where the data should be saved.
- transformations
-
Seq of Column expressions that specify the transformations to apply (similar to transformation parameters ).
- options
-
Map of the names of options (e.g. { @code compression}, { @code skip_header}, etc.) and their corresponding values.NOTE: By default, the
CopyableDataFrame
object uses the options set in the DataFrameReader used to create that object. You can use thisoptions
parameter to override the default options or set additional options. - returns
-
A TypedAsyncJob object that you can use to check the status of the action and get the results.
- Since
-
0.11.0
-
def
copyInto
(
tableName:
String
,
transformations:
Seq
[
Column
]
)
:
TypedAsyncJob
[
Unit
]
Executes
CopyableDataFrame.copyInto
asynchronously.Executes
CopyableDataFrame.copyInto
asynchronously.- tableName
-
Name of the table where the data should be saved.
- transformations
-
Seq of Column expressions that specify the transformations to apply (similar to transformation parameters ).
- returns
-
A TypedAsyncJob object that you can use to check the status of the action and get the results.
- Since
-
0.11.0
-
def
copyInto
(
tableName:
String
)
:
TypedAsyncJob
[
Unit
]
Executes
CopyableDataFrame.copyInto
asynchronously.Executes
CopyableDataFrame.copyInto
asynchronously.- tableName
-
Name of the table where the data should be saved.
- returns
-
A TypedAsyncJob object that you can use to check the status of the action and get the results.
- Since
-
0.11.0
-
def
count
()
:
TypedAsyncJob
[
Long
]
Executes DataFrame.count asynchronously.
Executes DataFrame.count asynchronously.
- returns
-
A TypedAsyncJob object that you can use to check the status of the action and get the results.
- Definition Classes
- DataFrameAsyncActor
- Since
-
0.11.0
-
final
def
eq
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arg0:
AnyRef
)
:
Boolean
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equals
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final
def
getClass
()
:
Class
[_]
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def
hashCode
()
:
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def
isInstanceOf
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final
def
notify
()
:
Unit
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def
notifyAll
()
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Unit
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final
def
synchronized
[
T0
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(
arg0: ⇒
T0
)
:
T0
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def
toLocalIterator
()
:
TypedAsyncJob
[
Iterator
[
Row
]]
Executes DataFrame.toLocalIterator asynchronously.
Executes DataFrame.toLocalIterator asynchronously.
- returns
-
A TypedAsyncJob object that you can use to check the status of the action and get the results.
- Definition Classes
- DataFrameAsyncActor
- Since
-
0.11.0
-
def
toString
()
:
String
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final
def
wait
(
arg0:
Long
,
arg1:
Int
)
:
Unit
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final
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wait
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arg0:
Long
)
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Unit
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def
wait
()
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Unit
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