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[Camus] date partition the counters for number of records read; #3

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Aug 25, 2014
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[Camus] date partition the counters for number of records read; #3

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8 changes: 5 additions & 3 deletions camus-etl-kafka/src/main/java/com/linkedin/camus/etl/kafka/CamusJob.java
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Original file line number Diff line number Diff line change
Expand Up @@ -308,12 +308,14 @@ public int compare(FileStatus f1, FileStatus f2) {

String countersPathString = props.getProperty(CAMUS_COUNTERS_PATH);
if (countersPathString != null) {
Path countersPath = new Path(countersPathString);
Path countersDir = new Path(countersPathString);
if (!fs.exists(countersDir))
fs.mkdirs(countersDir);
Path countersPath = new Path(countersPathString, "counters.json");
fs.delete(countersPath, true);
fs.mkdirs(countersPath);

BufferedWriter writer = new BufferedWriter(new OutputStreamWriter(
fs.create(new Path(countersPath, "counters.json"))));
fs.create(countersPath)));
writer.write(jsonData.toJSONString());
writer.close();
}
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9 changes: 9 additions & 0 deletions camus-etl-kafka/src/main/java/com/linkedin/camus/etl/kafka/mapred/EtlRecordReader.java
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Original file line number Diff line number Diff line change
Expand Up @@ -4,6 +4,7 @@
import com.linkedin.camus.coders.MessageDecoder;
import com.linkedin.camus.etl.kafka.CamusJob;
import com.linkedin.camus.etl.kafka.coders.MessageDecoderFactory;
import com.linkedin.camus.etl.kafka.common.DateUtils;
import com.linkedin.camus.etl.kafka.common.EtlKey;
import com.linkedin.camus.etl.kafka.common.EtlRequest;
import com.linkedin.camus.etl.kafka.common.ExceptionWritable;
Expand All @@ -25,6 +26,7 @@
import org.apache.hadoop.mapreduce.TaskAttemptContext;
import org.apache.log4j.Logger;
import org.joda.time.DateTime;
import org.joda.time.DateTimeZone;

public class EtlRecordReader extends RecordReader<EtlKey, CamusWrapper> {
private static final String PRINT_MAX_DECODER_EXCEPTIONS = "max.decoder.exceptions.to.print";
Expand Down Expand Up @@ -308,6 +310,13 @@ public boolean nextKeyValue() throws IOException, InterruptedException {

mapperContext.getCounter("total", "decode-time(ms)").increment(decodeTime);

// timestamp of the nearest hour in our configuration
long datePartition = DateUtils.getPartition(EtlMultiOutputFormat.getEtlOutputFileTimePartitionMins(context) * 60000L, timeStamp);
// more readable form
String datePartitionString = new DateTime(datePartition, DateTimeZone.UTC).toString("YYYY/MM/dd/HH");

mapperContext.getCounter("total", datePartition + "_" + datePartitionString).increment(1);

if (reader != null) {
mapperContext.getCounter("total", "request-time(ms)").increment(
reader.getFetchTime());
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