日活跃用户统计函数

系统 1968 0

题记:

  在做运营统计的时候,一个最常见的指标是日活跃用户数(DAU),它的一般性概念为当日所有用户的去重,但是在大部分情况下,我们获取到的数据中会有登录用户与有匿名用户,而这部分用户是会出现重叠的。常规的做法是利用cookie或者imei(移动端)进行自关联,然后算出有多少用户同时是登录用户和匿名用户,最终的 日活跃用户数 = 登录用户+匿名用户-匿名转登录用户。

  在实际操作中需要写复杂的HQL才能完成这部分工作,而且运行效率低下,为此需要开发一个UDAF函数进行处理。

首先说明一下函数的原理:

      
        /*
      
      
        *
 * 根据flag,uid和imei信息计算个数
 * -fla为1    : 将对应的UID存储在UID集合中,该集合代表登录用户
 * -flag不为1 : 将对应的imei|wyy存储在IMEI集合中,该集合代表匿名用户
 * 将imei|wyy存储一个Map当中,并且判断该imei|wyy对应的flag是否同时出现过0和1俩个值,如果是则map中对应的value = 2否则为flag
 * 参数原型:
 *      int itemcount(flag,uid,imei)
 * 参数说明:
 *      flag: 1或者不为1
 *      uid: 用户id
 *      imei: 用户的第二个参照标识(imei|wyy|cookie)
 *      
 * 返回值:
 *      int类型,dau值
 *      
 * 使用示例:
 *      > SELECT flag, uid, imei FROM test;
 *      1   uid1 imei1
 *      1   uid2 imei1   
 *      0   uid3 imei3   
 * 
 *      > SELECT daucount(flag,uid,imei) FROM test;
 *      1
 
      
      
        */
      
    

  其中flag参数可以用其它udf函数进行替换,用以判断uid是否是登录用户。

下面是具体的代码块:

      
        package
      
      
         yy.juefan.udaf;


      
      
        import
      
      
         java.util.ArrayList;

      
      
        import
      
      
         java.util.HashMap;

      
      
        import
      
      
         java.util.HashSet;

      
      
        import
      
      
         java.util.List;

      
      
        import
      
      
         java.util.Map;

      
      
        import
      
      
         java.util.Set;

      
      
        import
      
      
         java.util.Map.Entry;


      
      
        import
      
      
         org.apache.hadoop.hive.ql.exec.Description;

      
      
        import
      
      
         org.apache.hadoop.hive.ql.exec.UDFArgumentLengthException;

      
      
        import
      
      
         org.apache.hadoop.hive.ql.exec.UDFArgumentTypeException;

      
      
        import
      
      
         org.apache.hadoop.hive.ql.metadata.HiveException;

      
      
        import
      
      
         org.apache.hadoop.hive.ql.parse.SemanticException;

      
      
        import
      
      
         org.apache.hadoop.hive.ql.udf.generic.AbstractGenericUDAFResolver;

      
      
        import
      
      
         org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator;

      
      
        import
      
      
         org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;

      
      
        import
      
      
         org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorFactory;

      
      
        import
      
      
         org.apache.hadoop.hive.serde2.objectinspector.PrimitiveObjectInspector.PrimitiveCategory;

      
      
        import
      
      
         org.apache.hadoop.hive.serde2.objectinspector.StandardListObjectInspector;

      
      
        import
      
      
         org.apache.hadoop.hive.serde2.objectinspector.StandardMapObjectInspector;

      
      
        import
      
      
         org.apache.hadoop.hive.serde2.objectinspector.StructField;

      
      
        import
      
      
         org.apache.hadoop.hive.serde2.objectinspector.StructObjectInspector;

      
      
        import
      
      
         org.apache.hadoop.hive.serde2.objectinspector.primitive.IntObjectInspector;

      
      
        import
      
      
         org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorFactory;

      
      
        import
      
      
         org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorUtils;

      
      
        import
      
      
         org.apache.hadoop.hive.serde2.objectinspector.primitive.StringObjectInspector;

      
      
        import
      
      
         org.apache.hadoop.hive.serde2.typeinfo.PrimitiveTypeInfo;

      
      
        import
      
      
         org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;


@Description (
        name 
      
      = "dau_count"
      
        ,
        value 
      
      = "_FUNC_(flag,uid,imei)"
      
        
        )

      
      
        public
      
      
        class
      
       GenericDauCount 
      
        extends
      
      
         AbstractGenericUDAFResolver {

    
      
      
        private
      
      
        static
      
      
        final
      
      
        boolean
      
       DEBUG = 
      
        false
      
      
        ;
    
      
      
        private
      
      
        static
      
      
        final
      
      
        boolean
      
       TRACE = 
      
        false
      
      
        ;

    @Override
    
      
      
        public
      
      
         GenericUDAFEvaluator getEvaluator(TypeInfo[] parameters)
            
      
      
        throws
      
      
         SemanticException {

        
      
      
        if
      
       (parameters.length != 3
      
        ) {
            
      
      
        throw
      
      
        new
      
      
         UDFArgumentLengthException(
                    
      
      "Exactly 3 argument is expected."
      
        );
        }

        
      
      
        if
      
       (((PrimitiveTypeInfo) parameters[0]).getPrimitiveCategory() !=
      
         PrimitiveCategory.INT) {
            
      
      
        throw
      
      
        new
      
       UDFArgumentTypeException(0
      
        ,
                    
      
      "Only int argument is accepted, but "
                            + parameters[0].getTypeName() + " is passed"
      
        );
        }

        
      
      
        if
      
       (((PrimitiveTypeInfo) parameters[1]).getPrimitiveCategory() !=
      
         PrimitiveCategory.STRING) {
            
      
      
        throw
      
      
        new
      
       UDFArgumentTypeException(1
      
        ,
                    
      
      "Only string argument is accepted, but "
                            + parameters[1].getTypeName() + " is passed"
      
        );
        }

        
      
      
        if
      
       (((PrimitiveTypeInfo) parameters[2]).getPrimitiveCategory() !=
      
         PrimitiveCategory.STRING) {
            
      
      
        throw
      
      
        new
      
       UDFArgumentTypeException(2
      
        ,
                    
      
      "Only string argument is accepted, but "
                            + parameters[2].getTypeName() + " is passed"
      
        );
        }

        
      
      
        return
      
      
        new
      
      
         GenericDauCountEvaluator();
    }

    
      
      
        public
      
      
        static
      
      
        class
      
       GenericDauCountEvaluator 
      
        extends
      
      
         GenericUDAFEvaluator {
        
      
      
        //
      
      
         封装接口
      
      
                StructField uidSetField;
        StructField imeiSetField;
        StructField imeiMapField;

        StructObjectInspector map2red;

        
      
      
        //
      
      
         for PARTIAL1 and COMPLETE
      
      
                IntObjectInspector flagIO;
        StringObjectInspector uidIO;
        StringObjectInspector imeiIO;

        
      
      
        //
      
      
         for PARTIAL2 and FINAL
      
      
                StandardListObjectInspector uidSetIO;
        StandardListObjectInspector imeiSetIO;
        StandardMapObjectInspector imeiMapIO;
        
private static class DivideAB implements AggregationBuffer { Set <String> uidSet; Set <String> imeiSet; Map <String, Integer> imeiMap; } @Override public AggregationBuffer getNewAggregationBuffer() throws HiveException { DivideAB dab = new DivideAB(); reset(dab); return dab; } @Override public void reset(AggregationBuffer agg) throws HiveException { DivideAB dab = (DivideAB) agg; dab.uidSet = new HashSet<String> (); dab.imeiSet = new HashSet<String> (); dab.imeiMap = new HashMap<String, Integer> (); } boolean warned = false ; @Override public ObjectInspector init(Mode m, ObjectInspector[] parameters) throws HiveException { super .init(m, parameters); // input if (m == Mode.PARTIAL1 || m == Mode.COMPLETE) { // for iterate assert (parameters.length == 3 ); flagIO = (IntObjectInspector) parameters[0 ]; uidIO = (StringObjectInspector) parameters[1 ]; imeiIO = (StringObjectInspector) parameters[2 ]; } else { // for merge map2red = (StructObjectInspector) parameters[0 ]; uidSetField = map2red.getStructFieldRef("uidSet" ); imeiSetField = map2red.getStructFieldRef("imeiSet" ); imeiMapField = map2red.getStructFieldRef("imeiMap" ); uidSetIO = (StandardListObjectInspector) uidSetField .getFieldObjectInspector(); imeiSetIO = (StandardListObjectInspector) imeiSetField .getFieldObjectInspector(); imeiMapIO = (StandardMapObjectInspector) imeiMapField .getFieldObjectInspector(); } if (m == Mode.PARTIAL1 || m == Mode.PARTIAL2) { ArrayList <ObjectInspector> foi = new ArrayList<ObjectInspector> (); ArrayList <String> fname = new ArrayList<String> (); foi.add(ObjectInspectorFactory .getStandardListObjectInspector(PrimitiveObjectInspectorFactory.javaStringObjectInspector)); foi.add(ObjectInspectorFactory .getStandardListObjectInspector(PrimitiveObjectInspectorFactory.javaStringObjectInspector)); foi.add(ObjectInspectorFactory .getStandardMapObjectInspector( PrimitiveObjectInspectorFactory.javaStringObjectInspector, PrimitiveObjectInspectorFactory.javaIntObjectInspector)); fname.add( "uidSet" ); fname.add( "imeiSet" ); fname.add( "imeiMap" ); return ObjectInspectorFactory.getStandardStructObjectInspector( fname, foi); } else { return PrimitiveObjectInspectorFactory.javaLongObjectInspector; } } @Override public void iterate(AggregationBuffer agg, Object[] parameters) throws HiveException { if (parameters.length != 3 ) { return ; } DivideAB dab = (DivideAB) agg; int check = PrimitiveObjectInspectorUtils.getInt(parameters[0 ], flagIO); String uid = PrimitiveObjectInspectorUtils.getString(parameters[1 ], uidIO); String imei = PrimitiveObjectInspectorUtils.getString( parameters[ 2 ], imeiIO); if (check == 1) { // 登录用户 dab.uidSet.add(uid); } else { // 匿名用户 dab.imeiSet.add(imei); } if (dab.imeiMap.containsKey(imei)) { int flag = dab.imeiMap.get(imei); if (flag < 2 && flag != check) { dab.imeiMap.put(imei, 2 ); } } else { dab.imeiMap.put(imei, check); } } @Override public Object terminatePartial(AggregationBuffer agg) throws HiveException { DivideAB myagg = (DivideAB) agg; // 存储中间结果 Object[] partialResult = new Object[3 ]; partialResult[ 0] = new ArrayList<String> (myagg.uidSet); partialResult[ 1] = new ArrayList<String> (myagg.imeiSet); partialResult[ 2] = new HashMap<String, Integer> (myagg.imeiMap); return partialResult; } @SuppressWarnings( "unchecked" ) @Override public void merge(AggregationBuffer agg, Object partial) throws HiveException { if (partial != null ) { DivideAB dab = (DivideAB) agg; Object uidSet = map2red .getStructFieldData(partial, uidSetField); Object imeiSet = map2red.getStructFieldData(partial, imeiSetField); Object imeiMap = map2red.getStructFieldData(partial, imeiMapField); List <Object> uidlist = (List<Object> ) uidSetIO.getList(uidSet); System.err.println( "uidList = " + uidlist.size()); if (uidlist != null ) { System.err.println( "uidSet = " + dab.uidSet.size()); for (Object obj : uidlist) { dab.uidSet.add(obj.toString()); } } List <Object> imeilist = (List<Object> ) uidSetIO .getList(imeiSet); if (imeilist != null ) { for (Object obj : imeilist) { dab.imeiSet.add(obj.toString()); } } Map <String, Integer> imeimap = (Map<String, Integer> ) imeiMapIO .getMap(imeiMap); for (Entry<?, ?> ele : imeimap.entrySet()) { Object kobj = ele.getKey(); String key = kobj.toString(); Object vobj = ele.getValue(); Object val = vobj.toString(); if (dab.imeiMap.containsKey(key)) { int flag = dab.imeiMap.get(key); if (flag < 2 && flag != Integer.parseInt(val.toString())) { dab.imeiMap.put(key, 2 ); } } else { dab.imeiMap.put(key, Integer.parseInt(val.toString())); } } } } @Override public Object terminate(AggregationBuffer agg) throws HiveException { DivideAB dab = (DivideAB) agg; int mix = 0 ; for ( int val : dab.imeiMap.values()) { if (val == 2 ) { mix ++ ; } } return ( long ) (dab.uidSet.size() + dab.imeiSet.size() - mix); } } }

 

又有工作要忙了,先把代码放上来,下次再写分析

日活跃用户统计函数


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