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java.lang.Objectorg.apache.hadoop.mapreduce.InputFormat<ImmutableBytesWritable,Result>
org.apache.hadoop.hbase.mapreduce.TableInputFormatBase
@InterfaceAudience.Public @InterfaceStability.Stable public abstract class TableInputFormatBase
A base for TableInputFormat
s. Receives a HTable
, an
Scan
instance that defines the input columns etc. Subclasses may use
other TableRecordReader implementations.
An example of a subclass:
public static class ExampleTIF extends TableInputFormatBase implements JobConfigurable {
Field Summary | |
---|---|
static String |
INPUT_AUTOBALANCE_MAXSKEWRATIO
Specify if ratio for data skew in M/R jobs, it goes well with the enabling hbase.mapreduce .input.autobalance property. |
static String |
MAPREDUCE_INPUT_AUTOBALANCE
Specify if we enable auto-balance for input in M/R jobs. |
static String |
TABLE_ROW_TEXTKEY
Specify if the row key in table is text (ASCII between 32~126), default is true. |
Constructor Summary | |
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TableInputFormatBase()
|
Method Summary | |
---|---|
List<org.apache.hadoop.mapreduce.InputSplit> |
calculateRebalancedSplits(List<org.apache.hadoop.mapreduce.InputSplit> list,
org.apache.hadoop.mapreduce.JobContext context,
long average)
Calculates the number of MapReduce input splits for the map tasks. |
org.apache.hadoop.mapreduce.RecordReader<ImmutableBytesWritable,Result> |
createRecordReader(org.apache.hadoop.mapreduce.InputSplit split,
org.apache.hadoop.mapreduce.TaskAttemptContext context)
Builds a TableRecordReader. |
protected HTable |
getHTable()
Allows subclasses to get the HTable . |
Scan |
getScan()
Gets the scan defining the actual details like columns etc. |
static byte[] |
getSplitKey(byte[] start,
byte[] end,
boolean isText)
select a split point in the region. |
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 Pair<byte[][],byte[][]> |
getStartEndKeys()
|
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. |
String |
reverseDNS(InetAddress ipAddress)
|
protected void |
setHTable(HTable table)
Allows subclasses to set the HTable . |
void |
setScan(Scan scan)
Sets the scan defining the actual details like columns etc. |
protected void |
setTableRecordReader(TableRecordReader tableRecordReader)
Allows subclasses to set the TableRecordReader . |
Methods inherited from class java.lang.Object |
---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Field Detail |
---|
public static final String MAPREDUCE_INPUT_AUTOBALANCE
public static final String INPUT_AUTOBALANCE_MAXSKEWRATIO
public static final String TABLE_ROW_TEXTKEY
Constructor Detail |
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public TableInputFormatBase()
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
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.InputFormat.createRecordReader(
org.apache.hadoop.mapreduce.InputSplit,
org.apache.hadoop.mapreduce.TaskAttemptContext)
protected Pair<byte[][],byte[][]> getStartEndKeys() throws IOException
IOException
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)
public String reverseDNS(InetAddress ipAddress) throws NamingException, UnknownHostException
NamingException
UnknownHostException
public List<org.apache.hadoop.mapreduce.InputSplit> calculateRebalancedSplits(List<org.apache.hadoop.mapreduce.InputSplit> list, org.apache.hadoop.mapreduce.JobContext context, long average) throws IOException
list
- The list of input splits before balance.context
- The current job context.average
- The average size of all regions .
IOException
- When creating the list of splits fails.InputFormat.getSplits(
org.apache.hadoop.mapreduce.JobContext)
public static byte[] getSplitKey(byte[] start, byte[] end, boolean isText)
start
- Start key of the regionend
- End key of the regionisText
- It determines to use text key mode or binary key mode
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 HTable getHTable()
HTable
.
protected void setHTable(HTable table)
HTable
.
table
- The table to get the data from.public Scan getScan()
public void setScan(Scan scan)
scan
- The scan to set.protected void setTableRecordReader(TableRecordReader tableRecordReader)
TableRecordReader
.
tableRecordReader
- A different TableRecordReader
implementation.
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