@Experimental(value=SOURCE_SINK) public abstract static class BigtableIO.Read extends PTransform<PBegin,PCollection<com.google.bigtable.v2.Row>>
PTransform that reads from Google Cloud Bigtable. See the class-level Javadoc on
BigtableIO for more information.BigtableIO,
Serialized Formname| Constructor and Description |
|---|
Read() |
| Modifier and Type | Method and Description |
|---|---|
PCollection<com.google.bigtable.v2.Row> |
expand(PBegin input) |
abstract com.google.cloud.bigtable.config.BigtableOptions |
getBigtableOptions()
Returns the Google Cloud Bigtable instance being read from, and other parameters.
|
abstract ByteKeyRange |
getKeyRange()
Returns the range of keys that will be read from the table.
|
abstract String |
getTableId()
Returns the table being read from.
|
abstract boolean |
getValidate() |
void |
populateDisplayData(DisplayData.Builder builder) |
String |
toString() |
void |
validate(PipelineOptions options) |
BigtableIO.Read |
withBigtableOptions(com.google.cloud.bigtable.config.BigtableOptions.Builder optionsBuilder)
Returns a new
BigtableIO.Read that will read from the Cloud Bigtable instance
indicated by the given options, and using any other specified customizations. |
BigtableIO.Read |
withBigtableOptions(com.google.cloud.bigtable.config.BigtableOptions options)
Returns a new
BigtableIO.Read that will read from the Cloud Bigtable instance
indicated by the given options, and using any other specified customizations. |
BigtableIO.Read |
withKeyRange(ByteKeyRange keyRange)
Returns a new
BigtableIO.Read that will read only rows in the specified range. |
BigtableIO.Read |
withoutValidation()
Disables validation that the table being read from exists.
|
BigtableIO.Read |
withRowFilter(com.google.bigtable.v2.RowFilter filter)
Returns a new
BigtableIO.Read that will filter the rows read from Cloud Bigtable
using the given row filter. |
BigtableIO.Read |
withTableId(String tableId)
Returns a new
BigtableIO.Read that will read from the specified table. |
getAdditionalInputs, getDefaultOutputCoder, getDefaultOutputCoder, getDefaultOutputCoder, getKindString, getName@Nullable public abstract ByteKeyRange getKeyRange()
@Nullable public abstract com.google.cloud.bigtable.config.BigtableOptions getBigtableOptions()
public abstract boolean getValidate()
public BigtableIO.Read withBigtableOptions(com.google.cloud.bigtable.config.BigtableOptions options)
BigtableIO.Read that will read from the Cloud Bigtable instance
indicated by the given options, and using any other specified customizations.
Does not modify this object.
public BigtableIO.Read withBigtableOptions(com.google.cloud.bigtable.config.BigtableOptions.Builder optionsBuilder)
BigtableIO.Read that will read from the Cloud Bigtable instance
indicated by the given options, and using any other specified customizations.
Clones the given BigtableOptions builder so that any further changes
will have no effect on the returned BigtableIO.Read.
Does not modify this object.
public BigtableIO.Read withRowFilter(com.google.bigtable.v2.RowFilter filter)
BigtableIO.Read that will filter the rows read from Cloud Bigtable
using the given row filter.
Does not modify this object.
public BigtableIO.Read withKeyRange(ByteKeyRange keyRange)
BigtableIO.Read that will read only rows in the specified range.
Does not modify this object.
public BigtableIO.Read withTableId(String tableId)
BigtableIO.Read that will read from the specified table.
Does not modify this object.
public BigtableIO.Read withoutValidation()
public PCollection<com.google.bigtable.v2.Row> expand(PBegin input)
expand in class PTransform<PBegin,PCollection<com.google.bigtable.v2.Row>>public void validate(PipelineOptions options)
validate in class PTransform<PBegin,PCollection<com.google.bigtable.v2.Row>>public void populateDisplayData(DisplayData.Builder builder)
populateDisplayData in interface HasDisplayDatapopulateDisplayData in class PTransform<PBegin,PCollection<com.google.bigtable.v2.Row>>public String toString()
toString in class PTransform<PBegin,PCollection<com.google.bigtable.v2.Row>>Copyright © 2016–2017 The Apache Software Foundation. All rights reserved.