I think you have looked at
src/examples/org/apache/hadoop/examples/DBCountPageView.java
where:
job.setMapOutputKeyClass(Text.class);
and:
public class Text extends BinaryComparable
implements WritableComparable<BinaryComparable> {
...
static {
// register this comparator
WritableComparator.define(Text.class, new Comparator());
}
Modify your LogRecord accordingly.
On Fri, Feb 4, 2011 at 12:00 PM, Adeel Qureshi <[email protected]>wrote:
> Thanks - I switched to using the mapreduce version of dboutputformat and
> things look a little better but I am getting a ClassCastException ..
>
> here is my writable class
> public class LogRecord implements Writable, DBWritable {
> private long timestamp;
> private String userId;
> private String action;
>
> public LogRecord() {
> }
>
> public LogRecord(long timestamp, String userId, String action,
> String pageType, String pageName, String attrPath, String
> attrName,
> String forEntity, String forEntityInfo, long rendTime) {
> this.timestamp = timestamp;
> this.userId = userId;
> this.action = action;
> }
>
> public void clearFields(){
> this.timestamp = 0;
> this.userId = "";
> this.action = "";
> }
>
> @Override
> public int hashCode() {
> final int prime = 31;
> int result = 1;
> result = prime * result + ((action == null) ? 0 :
> action.hashCode());
> result = prime * result + (int) (timestamp ^ (timestamp >>> 32));
> result = prime * result + ((userId == null) ? 0 :
> userId.hashCode());
> return result;
> }
>
> @Override
> public boolean equals(Object obj) {
> if (this == obj)
> return true;
> if (obj == null)
> return false;
> if (getClass() != obj.getClass())
> return false;
> LogRecord other = (LogRecord) obj;
> if (action == null) {
> if (other.action != null)
> return false;
> } else if (!action.equals(other.action))
> return false;
> if (timestamp != other.timestamp)
> return false;
> if (userId == null) {
> if (other.userId != null)
> return false;
> } else if (!userId.equals(other.userId))
> return false;
> return true;
> }
>
> @Override
> public void readFields(DataInput in) throws IOException {
> this.timestamp = in.readLong();
> this.userId = Text.readString(in);
> this.action = Text.readString(in);
> }
>
> @Override
> public void write(DataOutput out) throws IOException {
> out.writeLong(this.timestamp);
> Text.writeString(out, this.userId);
> Text.writeString(out, this.action);
> }
>
> @Override
> public void readFields(ResultSet rs) throws SQLException {
> this.timestamp = rs.getLong(1);
> this.userId = rs.getString(2);
> this.action = rs.getString(3);
> }
>
> @Override
> public void write(PreparedStatement stmt) throws SQLException {
> stmt.setLong(1, this.timestamp);
> stmt.setString(2, this.userId);
> stmt.setString(3, this.action);
> }
>
> public void setTimestamp(long timestamp) {
> this.timestamp = timestamp;
> }
> public void setUserId(String userId) {
> this.userId = userId;
> }
> public void setAction(String action) {
> this.action = action;
> }
> }
> **************************************
>
> here is my job runner/configuration code
>
> //configuration
> Configuration conf = new Configuration();
> Job job = new Job(conf, "Log Parser Job");
>
> //configure database output
> job.setOutputFormatClass(DBOutputFormat.class);
> DBConfiguration.configureDB(conf,
> "com.microsoft.sqlserver.jdbc.SQLServerDriver",
> "jdbc:sqlserver://..........",
> "...", "...");
> String[] fields = {"timestamp", "userId", "action"};
> DBOutputFormat.setOutput(job, "LogParser", fields);
>
> //job properties
> job.setJarByClass(Driver.class);
>
> job.setMapperClass(LogParserMapper.class);
> job.setReducerClass(LogParserReducer.class);
>
> job.setMapOutputKeyClass(LogRecord.class);
> job.setMapOutputValueClass(IntWritable.class);
>
> job.setOutputKeyClass(LogRecord.class);
> job.setOutputValueClass(NullWritable.class);
>
> *************
>
> mapper code:
> public class LogParserMapper extends Mapper<LongWritable, Text, LogRecord,
> IntWritable> {
>
> private LogRecord rec = new LogRecord();
> private final static IntWritable _val = new IntWritable(1);
>
> public void map(LongWritable key, Text value, Context context){
> String line = value.toString();
> //parse the line into tokens
> ...
> rec.setUserId(userId);
> rec.setAction("test");
> rec.setTimestamp(0);
> }
> }
>
> ******************
> reducer:
>
> public class LogParserReducer extends Reducer<LogRecord, IntWritable,
> LogRecord, NullWritable> {
> private NullWritable n = NullWritable.get();
>
> public void reduce(LogRecord key, Iterable<IntWritable> values, Context
> context) throws IOException, InterruptedException {
> context.write(key, n);
> }
> }
>
> ******************
> finally when i run it I am getting this error message
>
> 11/02/04 13:47:55 INFO mapred.JobClient: Task Id :
> attempt_201101241250_0094_m_000000_1, Status : FAILED
> java.lang.ClassCastException: class logparser.model.LogRecord
> at java.lang.Class.asSubclass(Class.java:3018)
> at
> org.apache.hadoop.mapred.JobConf.getOutputKeyComparator(JobConf.java:796)
> at
> org.apache.hadoop.mapred.MapTask$MapOutputBuffer.<init>(MapTask.java:809)
> at
>
> org.apache.hadoop.mapred.MapTask$NewOutputCollector.<init>(MapTask.java:549)
> at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:631)
> at org.apache.hadoop.mapred.MapTask.run(MapTask.java:315)
> at org.apache.hadoop.mapred.Child$4.run(Child.java:217)
> at java.security.AccessController.doPrivileged(Native Method)
> at javax.security.auth.Subject.doAs(Subject.java:396)
> at
>
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1063)
> at org.apache.hadoop.mapred.Child.main(Child.java:211)
>
>
> my hadoop version is 0.20.2 so I am not sure why its using the mapred stuff
> while running it and if thats the problem.
>
> Thanks for your help
>
>
> On Thu, Feb 3, 2011 at 9:29 PM, Ted Yu <[email protected]> wrote:
>
> > At least in cdh3b2, there are two DBOutputFormat.java:
> >
> > ./src/mapred/org/apache/hadoop/mapred/lib/db/DBOutputFormat.java
> > ./src/mapred/org/apache/hadoop/mapreduce/lib/db/DBOutputFormat.java
> >
> > You should be able to use the latter.
> >
> > On Thu, Feb 3, 2011 at 2:45 PM, Adeel Qureshi <[email protected]
> > >wrote:
> >
> > > I had started a thread recently to ask questions about custom writable
> > > implementations which is basically similar to this .. but that was more
> > of
> > > an understanding of the concept and here I wanted to ask my actual
> > problem
> > > and get help on that.
> > >
> > > I want to be able to read text data line by line in my mapper ..
> > > create an instance of a custom writable class that holds some
> information
> > > parsed out of the line ..
> > > pass that custom writable along with its count to reducer
> > > reducer then simply need to insert every single entry into a database
> ..
> > >
> > > I am just trying to understand how to accomplish this. here is what I
> am
> > > thinking i need to do based on my little understanding of all this
> custom
> > > stuff
> > >
> > > 1. create a custom writable class that can hold my parsed records. in
> my
> > > mapper create a new instance of it using the text line and output the
> > > created instance
> > > 2. accept this custom writable in mapper
> > > 3. set reducer output to DBOutputFormat
> > > I tried doing that and it seems like I am supposed to use JobConf
> > class
> > > which is deprecated and the new configuration class where you are
> > supposed
> > > to use the job object to set the input/output formats doesnt seems to
> > work
> > > with DBOuputFormat .. doesnt this DBOutputFormat stuff works with
> hadoop
> > > new
> > > api
> > >
> > > 4. now in reducer I am confused wat to do .. i guess i need to convert
> my
> > > custom writable object to another custom dbwritable object .. that will
> > > then
> > > be written to the database .. any hints on how to accomplish this ..
> > >
> > > Sorry if the questions arent very clear .. I am just really confused
> > about
> > > this stuff and it doesnt helps that there is literally NO useful
> > > information
> > > available anywhere on this writable and dbwritable stuff
> > >
> > > Thanks
> > > Adeel
> > >
> >
>
