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java.lang.Objectorg.apache.hadoop.mapreduce.InputFormat<ImmutableBytesWritable,Result>
org.apache.hadoop.hbase.mapreduce.MultiTableInputFormatBase
@InterfaceAudience.Public @InterfaceStability.Evolving public abstract class MultiTableInputFormatBase
A base for MultiTableInputFormat
s. Receives a list of
Scan
instances that define the input tables and
filters etc. Subclasses may use other TableRecordReader implementations.
Constructor Summary | |
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MultiTableInputFormatBase()
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Method Summary | |
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org.apache.hadoop.mapreduce.RecordReader<ImmutableBytesWritable,Result> |
createRecordReader(org.apache.hadoop.mapreduce.InputSplit split,
org.apache.hadoop.mapreduce.TaskAttemptContext context)
Builds a TableRecordReader. |
protected List<Scan> |
getScans()
Allows subclasses to get the list of Scan objects. |
List<org.apache.hadoop.mapreduce.InputSplit> |
getSplits(org.apache.hadoop.mapreduce.JobContext context)
Calculates the splits that will serve as input for the map tasks. |
protected boolean |
includeRegionInSplit(byte[] startKey,
byte[] endKey)
Test if the given region is to be included in the InputSplit while splitting the regions of a table. |
protected void |
setScans(List<Scan> scans)
Allows subclasses to set the list of Scan objects. |
protected void |
setTableRecordReader(TableRecordReader tableRecordReader)
Allows subclasses to set the TableRecordReader . |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public MultiTableInputFormatBase()
Method Detail |
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public org.apache.hadoop.mapreduce.RecordReader<ImmutableBytesWritable,Result> createRecordReader(org.apache.hadoop.mapreduce.InputSplit split, org.apache.hadoop.mapreduce.TaskAttemptContext context) throws IOException, InterruptedException
createRecordReader
in class org.apache.hadoop.mapreduce.InputFormat<ImmutableBytesWritable,Result>
split
- The split to work with.context
- The current context.
IOException
- When creating the reader fails.
InterruptedException
- when record reader initialization failsInputFormat.createRecordReader(
org.apache.hadoop.mapreduce.InputSplit,
org.apache.hadoop.mapreduce.TaskAttemptContext)
public List<org.apache.hadoop.mapreduce.InputSplit> getSplits(org.apache.hadoop.mapreduce.JobContext context) throws IOException
getSplits
in class org.apache.hadoop.mapreduce.InputFormat<ImmutableBytesWritable,Result>
context
- The current job context.
IOException
- When creating the list of splits fails.InputFormat.getSplits(org.apache.hadoop.mapreduce.JobContext)
protected boolean includeRegionInSplit(byte[] startKey, byte[] endKey)
This optimization is effective when there is a specific reasoning to
exclude an entire region from the M-R job, (and hence, not contributing to
the InputSplit), given the start and end keys of the same.
Useful when we need to remember the last-processed top record and revisit
the [last, current) interval for M-R processing, continuously. In addition
to reducing InputSplits, reduces the load on the region server as well, due
to the ordering of the keys.
Note: It is possible that endKey.length() == 0
, for the last
(recent) region.
Override this method, if you want to bulk exclude regions altogether from
M-R. By default, no region is excluded( i.e. all regions are included).
startKey
- Start key of the regionendKey
- End key of the region
protected List<Scan> getScans()
Scan
objects.
protected void setScans(List<Scan> scans)
Scan
objects.
scans
- The list of Scan
used to define the inputprotected void setTableRecordReader(TableRecordReader tableRecordReader)
TableRecordReader
.
tableRecordReader
- A different TableRecordReader
implementation.
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