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java.lang.Object org.apache.hadoop.mapreduce.InputFormat<LongWritable,T> org.apache.hadoop.mapreduce.lib.db.DBInputFormat<T> org.apache.hadoop.mapreduce.lib.db.DataDrivenDBInputFormat<T>
@InterfaceAudience.Public @InterfaceStability.Evolving public class DataDrivenDBInputFormat<T extends DBWritable>
A InputFormat that reads input data from an SQL table. Operates like DBInputFormat, but instead of using LIMIT and OFFSET to demarcate splits, it tries to generate WHERE clauses which separate the data into roughly equivalent shards.
Nested Class Summary | |
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static class |
DataDrivenDBInputFormat.DataDrivenDBInputSplit
A InputSplit that spans a set of rows |
Nested classes/interfaces inherited from class org.apache.hadoop.mapreduce.lib.db.DBInputFormat |
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DBInputFormat.DBInputSplit, DBInputFormat.NullDBWritable |
Field Summary | |
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static String |
SUBSTITUTE_TOKEN
If users are providing their own query, the following string is expected to appear in the WHERE clause, which will be substituted with a pair of conditions on the input to allow input splits to parallelise the import. |
Constructor Summary | |
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DataDrivenDBInputFormat()
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Method Summary | |
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protected RecordReader<LongWritable,T> |
createDBRecordReader(DBInputFormat.DBInputSplit split,
Configuration conf)
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protected String |
getBoundingValsQuery()
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List<InputSplit> |
getSplits(JobContext job)
Logically split the set of input files for the job. |
protected DBSplitter |
getSplitter(int sqlDataType)
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static void |
setBoundingQuery(Configuration conf,
String query)
Set the user-defined bounding query to use with a user-defined query. |
static void |
setInput(Job job,
Class<? extends DBWritable> inputClass,
String inputQuery,
String inputBoundingQuery)
setInput() takes a custom query and a separate "bounding query" to use instead of the custom "count query" used by DBInputFormat. |
static void |
setInput(Job job,
Class<? extends DBWritable> inputClass,
String tableName,
String conditions,
String splitBy,
String... fieldNames)
Note that the "orderBy" column is called the "splitBy" in this version. |
Methods inherited from class org.apache.hadoop.mapreduce.lib.db.DBInputFormat |
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closeConnection, createRecordReader, getConf, getConnection, getCountQuery, getDBConf, getDBProductName, setConf |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Methods inherited from interface org.apache.hadoop.conf.Configurable |
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getConf, setConf |
Field Detail |
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public static final String SUBSTITUTE_TOKEN
Constructor Detail |
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public DataDrivenDBInputFormat()
Method Detail |
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protected DBSplitter getSplitter(int sqlDataType)
public List<InputSplit> getSplits(JobContext job) throws IOException
Each InputSplit
is then assigned to an individual Mapper
for processing.
Note: The split is a logical split of the inputs and the
input files are not physically split into chunks. For e.g. a split could
be <input-file-path, start, offset> tuple. The InputFormat
also creates the RecordReader
to read the InputSplit
.
getSplits
in class DBInputFormat<T extends DBWritable>
job
- job configuration.
InputSplit
s for the job.
IOException
protected String getBoundingValsQuery()
public static void setBoundingQuery(Configuration conf, String query)
protected RecordReader<LongWritable,T> createDBRecordReader(DBInputFormat.DBInputSplit split, Configuration conf) throws IOException
createDBRecordReader
in class DBInputFormat<T extends DBWritable>
IOException
public static void setInput(Job job, Class<? extends DBWritable> inputClass, String tableName, String conditions, String splitBy, String... fieldNames)
public static void setInput(Job job, Class<? extends DBWritable> inputClass, String inputQuery, String inputBoundingQuery)
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