use of org.apache.apex.malhar.lib.logs.MultiWindowDimensionAggregation in project apex-malhar by apache.
the class Application method getMysqlAggregationOper.
private MultiWindowDimensionAggregation getMysqlAggregationOper(String name, DAG dag) {
MultiWindowDimensionAggregation oper = dag.addOperator(name, MultiWindowDimensionAggregation.class);
oper.setWindowSize(3);
List<int[]> dimensionArrayList = new ArrayList<int[]>();
int[] dimensionArray = { 0 };
dimensionArrayList.add(dimensionArray);
oper.setDimensionArray(dimensionArrayList);
oper.setTimeBucket(TIME_BUCKETS.m.name());
oper.setDimensionKeyVal("1");
return oper;
}
use of org.apache.apex.malhar.lib.logs.MultiWindowDimensionAggregation in project apex-malhar by apache.
the class Application method populateDAG.
@Override
public void populateDAG(DAG dag, Configuration conf) {
// set app name
dag.setAttribute(DAG.APPLICATION_NAME, "Logstream Application");
dag.setAttribute(DAG.STREAMING_WINDOW_SIZE_MILLIS, 1000);
ConsoleOutputOperator mysqlConsole = dag.addOperator("MysqlConsole", ConsoleOutputOperator.class);
ConsoleOutputOperator syslogConsole = dag.addOperator("SyslogConsole", ConsoleOutputOperator.class);
ConsoleOutputOperator systemConsole = dag.addOperator("SystemlogConsole", ConsoleOutputOperator.class);
LogScoreOperator logScoreOperator = dag.addOperator("logscore", new LogScoreOperator());
/*
* Read log file messages from a messaging system (Redis, RabbitMQ, etc)
* Typically one message equates to a single line in a log file, but in
* some cases may be multiple lines such as java stack trace, etc.
*/
// Get logs from RabbitMQ
RabbitMQLogsInputOperator apacheLogInput = dag.addOperator("ApacheLogInput", RabbitMQLogsInputOperator.class);
RabbitMQLogsInputOperator mysqlLogInput = dag.addOperator("MysqlLogInput", RabbitMQLogsInputOperator.class);
RabbitMQLogsInputOperator syslogLogInput = dag.addOperator("SyslogLogInput", RabbitMQLogsInputOperator.class);
RabbitMQLogsInputOperator systemLogInput = dag.addOperator("SystemLogInput", RabbitMQLogsInputOperator.class);
/*
* Convert incoming JSON structures to flattened map objects
*/
JsonByteArrayOperator apacheLogJsonToMap = dag.addOperator("ApacheLogJsonToMap", JsonByteArrayOperator.class);
dag.addStream("apache_convert_type", apacheLogInput.outputPort, apacheLogJsonToMap.input);
JsonByteArrayOperator mysqlLogJsonToMap = dag.addOperator("MysqlLogJsonToMap", JsonByteArrayOperator.class);
dag.addStream("mysql_convert_type", mysqlLogInput.outputPort, mysqlLogJsonToMap.input);
JsonByteArrayOperator syslogLogJsonToMap = dag.addOperator("SyslogLogJsonToMap", JsonByteArrayOperator.class);
dag.addStream("syslog_convert_type", syslogLogInput.outputPort, syslogLogJsonToMap.input);
JsonByteArrayOperator systemLogJsonToMap = dag.addOperator("SystemLogJsonToMap", JsonByteArrayOperator.class);
dag.addStream("system_convert_type", systemLogInput.outputPort, systemLogJsonToMap.input);
// operator for tuple counter
Counter apacheLogCounter = dag.addOperator("ApacheLogCounter", new Counter());
/*
* operators for sum of bytes
*/
SumItemFromMapOperator<String, Object> apacheLogBytesSum = dag.addOperator("ApacheLogBytesSum", new SumItemFromMapOperator<String, Object>());
apacheLogBytesSum.setSumDimension("bytes");
/*
* opeartor filter 404 logs
*/
SelectOperator filter404 = getFilteredMessagesOperator("Filter404", dag);
/*
* Explode dimensions based on log types ( apache, mysql, syslog, etc)
*/
DimensionTimeBucketSumOperator apacheDimensionOperator = getApacheDimensionTimeBucketSumOperator("ApacheLogDimension", dag);
DimensionTimeBucketSumOperator apacheFilteredDimensionOperator = getFilteredApacheDimensionTimeBucketSumOperator("ApacheFilteredLogDimension", dag);
dag.addStream("apache_dimension_in", apacheLogJsonToMap.outputFlatMap, apacheDimensionOperator.in, apacheLogCounter.input, apacheLogBytesSum.mapInput, filter404.inport);
dag.addStream("apache_filtered_dimension_in", filter404.outport, apacheFilteredDimensionOperator.in);
DimensionTimeBucketSumOperator mysqlDimensionOperator = getMysqlDimensionTimeBucketSumOperator("MysqlLogDimension", dag);
dag.addStream("mysql_dimension_in", mysqlLogJsonToMap.outputFlatMap, mysqlDimensionOperator.in);
DimensionTimeBucketSumOperator syslogDimensionOperator = getSyslogDimensionTimeBucketSumOperator("syslogLogDimension", dag);
dag.addStream("syslog_dimension_in", syslogLogJsonToMap.outputFlatMap, syslogDimensionOperator.in);
// DimensionTimeBucketSumOperator systemDimensionOperator = getSystemDimensionTimeBucketSumOperator("systemLogDimension", dag);
// dag.addStream("system_dimension_in", systemLogJsonToMap.outputMap, systemDimensionOperator.in);
/*
* Calculate average, min, max, etc from dimensions ( based on log types )
*/
// aggregating over sliding window
MultiWindowDimensionAggregation apacheMultiWindowAggCountOpr = getApacheAggregationCountOper("apache_sliding_window_count", dag);
MultiWindowDimensionAggregation apacheMultiWindowAggSumOpr = getApacheAggregationSumOper("apache_sliding_window_sum", dag);
dag.addStream("apache_dimension_out", apacheDimensionOperator.out, apacheMultiWindowAggCountOpr.data, apacheMultiWindowAggSumOpr.data);
MultiWindowDimensionAggregation apacheFilteredMultiWindowAggCountOpr = getFilteredApacheAggregationCountOper("apache_filtered_sliding_window_count", dag);
dag.addStream("apache_filtered_dimension_out", apacheFilteredDimensionOperator.out, apacheFilteredMultiWindowAggCountOpr.data);
MultiWindowDimensionAggregation mysqlMultiWindowAggOpr = getMysqlAggregationOper("mysql_sliding_window", dag);
dag.addStream("mysql_dimension_out", mysqlDimensionOperator.out, mysqlMultiWindowAggOpr.data);
MultiWindowDimensionAggregation syslogMultiWindowAggOpr = getSyslogAggregationOper("syslog_sliding_window", dag);
dag.addStream("syslog_dimension_out", syslogDimensionOperator.out, syslogMultiWindowAggOpr.data);
// MultiWindowDimensionAggregation systemMultiWindowAggOpr = getSystemAggregationOper("system_sliding_window", dag);
// dag.addStream("system_dimension_out", systemDimensionOperator.out, systemMultiWindowAggOpr.data);
// adding top N operator
TopN<String, DimensionObject<String>> apacheTopNCountOpr = dag.addOperator("apache_topN_count", new TopN<String, DimensionObject<String>>());
apacheTopNCountOpr.setN(10);
TopN<String, DimensionObject<String>> apacheFilteredTopNCountOpr = dag.addOperator("apache_filtered_topN_count", new TopN<String, DimensionObject<String>>());
apacheFilteredTopNCountOpr.setN(10);
TopN<String, DimensionObject<String>> apacheTopNSumOpr = dag.addOperator("apache_topN_sum", new TopN<String, DimensionObject<String>>());
apacheTopNSumOpr.setN(10);
TopN<String, DimensionObject<String>> mysqlTopNOpr = dag.addOperator("mysql_topN", new TopN<String, DimensionObject<String>>());
mysqlTopNOpr.setN(5);
TopN<String, DimensionObject<String>> syslogTopNOpr = dag.addOperator("syslog_topN", new TopN<String, DimensionObject<String>>());
syslogTopNOpr.setN(5);
// TopN<String, DimensionObject<String>> systemTopNOpr = dag.addOperator("system_topN", new TopN<String, DimensionObject<String>>());
// systemTopNOpr.setN(5);
/*
* Analytics Engine
*/
dag.addStream("ApacheLogScoreCount", apacheMultiWindowAggCountOpr.output, apacheTopNCountOpr.data, logScoreOperator.apacheLogs);
dag.addStream("ApacheFilteredLogScoreCount", apacheFilteredMultiWindowAggCountOpr.output, apacheFilteredTopNCountOpr.data);
dag.addStream("ApacheLogScoreSum", apacheMultiWindowAggSumOpr.output, apacheTopNSumOpr.data);
dag.addStream("MysqlLogScore", mysqlMultiWindowAggOpr.output, mysqlTopNOpr.data, logScoreOperator.mysqlLogs);
dag.addStream("SyslogLogScore", syslogMultiWindowAggOpr.output, syslogTopNOpr.data, logScoreOperator.syslogLogs);
// dag.addStream("SystemLogScore", systemLogJsonToMap.outputMap, logScoreOperator.systemLogs);
/*
* Alerts
*/
// TODO
/*
* Console output for debugging purposes
*/
// ConsoleOutputOperator console = dag.addOperator("console", ConsoleOutputOperator.class);
// dag.addStream("topn_output", apacheTopNOpr.top);entry.getValue()
/*
* write to redis for siteops
*/
// prepare operators to convert output streams to redis output format
AggregationsToRedisOperator<Integer, Integer> apacheLogCounterToRedis = dag.addOperator("ApacheLogCounterToRedis", new AggregationsToRedisOperator<Integer, Integer>());
apacheLogCounterToRedis.setKeyIndex(11);
AggregationsToRedisOperator<String, String> apacheLogBytesSumToRedis = dag.addOperator("ApacheLogBytesSumToRedis", new AggregationsToRedisOperator<String, String>());
apacheLogBytesSumToRedis.setKeyIndex(9);
AggregationsToRedisOperator<String, DimensionObject<String>> topNCountToRedis = getApacheTopNToRedisOperatorCountAggregation("topNCountToRedis", dag);
AggregationsToRedisOperator<String, DimensionObject<String>> filteredTopNCountToRedis = getFilteredApacheTopNToRedisOperatorCountAggregation("filteredTopNCountToRedis", dag);
AggregationsToRedisOperator<String, DimensionObject<String>> topNSumToRedis = getApacheTopNToRedisOperatorSumAggregation("topNSumToRedis", dag);
// convert ouputs for redis output operator and send output to web socket output
dag.addStream("apache_log_counter", apacheLogCounter.output, apacheLogCounterToRedis.valueInput);
dag.addStream("apache_log_bytes_sum", apacheLogBytesSum.output, apacheLogBytesSumToRedis.valueInput);
dag.addStream("topn_redis_count", apacheTopNCountOpr.top, topNCountToRedis.multiWindowDimensionInput, wsOutput(dag, "apacheTopAggrs"));
dag.addStream("topn_redis_sum", apacheTopNSumOpr.top, topNSumToRedis.multiWindowDimensionInput, wsOutput(dag, "apacheTopSumAggrs"));
dag.addStream("filtered_topn_redis_count", apacheFilteredTopNCountOpr.top, filteredTopNCountToRedis.multiWindowDimensionInput);
// redis output operators
RedisKeyValPairOutputOperator<String, String> redisOutTotalCount = dag.addOperator("RedisOutTotalCount", new RedisKeyValPairOutputOperator<String, String>());
redisOutTotalCount.getStore().setDbIndex(15);
RedisKeyValPairOutputOperator<String, String> redisOutTotalSumBytes = dag.addOperator("RedisOutTotalSumBytes", new RedisKeyValPairOutputOperator<String, String>());
redisOutTotalSumBytes.getStore().setDbIndex(15);
RedisMapOutputOperator<String, String> redisOutTopNCount = dag.addOperator("RedisOutTopNCount", new RedisMapOutputOperator<String, String>());
redisOutTopNCount.getStore().setDbIndex(15);
RedisMapOutputOperator<String, String> redisOutTopNSum = dag.addOperator("RedisOutTopNSum", new RedisMapOutputOperator<String, String>());
redisOutTopNSum.getStore().setDbIndex(15);
RedisMapOutputOperator<String, String> redisOutFilteredTopNSum = dag.addOperator("RedisOutFilteredTopNSum", new RedisMapOutputOperator<String, String>());
redisOutFilteredTopNSum.getStore().setDbIndex(15);
// redis output streams
dag.addStream("apache_log_counter_to_redis", apacheLogCounterToRedis.keyValPairOutput, redisOutTotalCount.input);
dag.addStream("apache_log_bytes_sum_to_redis", apacheLogBytesSumToRedis.keyValPairOutput, redisOutTotalSumBytes.input);
dag.addStream("apache_log_dimension_counter_to_redis", topNCountToRedis.keyValueMapOutput, redisOutTopNCount.input);
dag.addStream("apache_log_dimension_sum_to_redis", topNSumToRedis.keyValueMapOutput, redisOutTopNSum.input);
dag.addStream("apache_log_filtered_dimension_count_to_redis", filteredTopNCountToRedis.keyValueMapOutput, redisOutFilteredTopNSum.input);
/*
* Websocket output to UI from calculated aggregations
*/
dag.addStream("MysqlTopAggregations", mysqlTopNOpr.top, wsOutput(dag, "mysqlTopAggrs"), mysqlConsole.input);
dag.addStream("SyslogTopAggregations", syslogTopNOpr.top, wsOutput(dag, "syslogTopAggrs"), syslogConsole.input);
dag.addStream("SystemData", systemLogJsonToMap.outputMap, wsOutput(dag, "systemData"), logScoreOperator.systemLogs, systemConsole.input);
}
use of org.apache.apex.malhar.lib.logs.MultiWindowDimensionAggregation in project apex-malhar by apache.
the class Application method getFilteredApacheAggregationCountOper.
private MultiWindowDimensionAggregation getFilteredApacheAggregationCountOper(String name, DAG dag) {
MultiWindowDimensionAggregation oper = dag.addOperator(name, MultiWindowDimensionAggregation.class);
oper.setWindowSize(3);
List<int[]> dimensionArrayList = new ArrayList<int[]>();
int[] dimensionArray1 = { 0 };
int[] dimensionArray2 = { 1 };
dimensionArrayList.add(dimensionArray1);
dimensionArrayList.add(dimensionArray2);
oper.setDimensionArray(dimensionArrayList);
oper.setTimeBucket(TIME_BUCKETS.m.name());
// aggregate on count
oper.setDimensionKeyVal("0");
// 1 sec window
oper.setWindowSize(2);
return oper;
}
use of org.apache.apex.malhar.lib.logs.MultiWindowDimensionAggregation in project apex-malhar by apache.
the class Application method getSyslogAggregationOper.
private MultiWindowDimensionAggregation getSyslogAggregationOper(String name, DAG dag) {
MultiWindowDimensionAggregation oper = dag.addOperator(name, MultiWindowDimensionAggregation.class);
oper.setWindowSize(3);
List<int[]> dimensionArrayList = new ArrayList<int[]>();
int[] dimensionArray = { 0 };
dimensionArrayList.add(dimensionArray);
oper.setDimensionArray(dimensionArrayList);
oper.setTimeBucket(TIME_BUCKETS.m.name());
oper.setDimensionKeyVal("1");
return oper;
}
use of org.apache.apex.malhar.lib.logs.MultiWindowDimensionAggregation in project apex-malhar by apache.
the class Application method getApacheAggregationCountOper.
private MultiWindowDimensionAggregation getApacheAggregationCountOper(String name, DAG dag) {
MultiWindowDimensionAggregation oper = dag.addOperator(name, MultiWindowDimensionAggregation.class);
oper.setWindowSize(3);
List<int[]> dimensionArrayList = new ArrayList<int[]>();
int[] dimensionArray1 = { 2 };
int[] dimensionArray2 = { 1 };
int[] dimensionArray3 = { 1, 2 };
int[] dimensionArray4 = { 7, 5, 6 };
int[] dimensionArray5 = { 2, 5 };
int[] dimensionArray6 = { 7, 6 };
int[] dimensionArray7 = { 6 };
int[] dimensionArray8 = { 7 };
int[] dimensionArray9 = { 0 };
int[] dimensionArray10 = { 3, 2 };
int[] dimensioArray11 = { 3, 0 };
int[] dimensioArray12 = { 3 };
dimensionArrayList.add(dimensionArray1);
dimensionArrayList.add(dimensionArray2);
dimensionArrayList.add(dimensionArray3);
dimensionArrayList.add(dimensionArray4);
dimensionArrayList.add(dimensionArray5);
dimensionArrayList.add(dimensionArray6);
dimensionArrayList.add(dimensionArray7);
dimensionArrayList.add(dimensionArray8);
dimensionArrayList.add(dimensionArray9);
dimensionArrayList.add(dimensionArray10);
dimensionArrayList.add(dimensioArray11);
dimensionArrayList.add(dimensioArray12);
oper.setDimensionArray(dimensionArrayList);
oper.setTimeBucket(TIME_BUCKETS.m.name());
// aggregate on count
oper.setDimensionKeyVal("0");
// 1 sec window
oper.setWindowSize(2);
return oper;
}
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