Package org.apache.hadoop.mapreduce.lib.db

Class TextSplitter

java.lang.Object

org.apache.hadoop.mapreduce.lib.db.BigDecimalSplitter

org.apache.hadoop.mapreduce.lib.db.TextSplitter

All Implemented Interfaces:

DBSplitter

@Public
@Evolving
public class TextSplitter
extends BigDecimalSplitter

Implement DBSplitter over text strings.

Constructor Summary

Constructors

Constructor	Description
TextSplitter()

Method Summary

Modifier and Type	Method	Description
List<InputSplit>	split(Configuration conf, ResultSet results, String colName)	This method needs to determine the splits between two user-provided strings.

Methods inherited from class org.apache.hadoop.mapreduce.lib.db.BigDecimalSplitter

tryDivide

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

TextSplitter

public TextSplitter()

Method Details

split

public List<InputSplit> split(Configuration conf,
 ResultSet results,
 String colName)
                       throws SQLException

This method needs to determine the splits between two user-provided strings. In the case where the user's strings are 'A' and 'Z', this is not hard; we could create two splits from ['A', 'M') and ['M', 'Z'], 26 splits for strings beginning with each letter, etc. If a user has provided us with the strings "Ham" and "Haze", however, we need to create splits that differ in the third letter. The algorithm used is as follows: Since there are 2**16 unicode characters, we interpret characters as digits in base 65536. Given a string 's' containing characters s_0, s_1 .. s_n, we interpret the string as the number: 0.s_0 s_1 s_2.. s_n in base 65536. Having mapped the low and high strings into floating-point values, we then use the BigDecimalSplitter to establish the even split points, then map the resulting floating point values back into strings.

Specified by:

split in interface DBSplitter

Overrides:

split in class BigDecimalSplitter

Throws:

SQLException