hive (gulfstream_ods)> desc g_order;
OK
col_name        data_type       comment
order_id                bigint                  订单id
driver_id               bigint                  司机id，司机抢单前该值为0
driver_phone            string                  司机电话
passenger_id            bigint                  乘客id
passenger_phone         string                  乘客电话
car_id                  int                     接驾车辆id
area                    int                     城市id
district                string                  城市区号
type                    int                     订单时效，0 实时  1预约
current_lng             decimal(19,6)           乘客发单时的经度
current_lat             decimal(19,6)           乘客发单时的纬度
starting_name           string                  起点名称
starting_lng            decimal(19,6)           起点经度
starting_lat            decimal(19,6)           起点纬度
dest_name               string                  终点名称
dest_lng                decimal(19,6)           终点经度
dest_lat                decimal(19,6)           终点纬度
driver_start_distance   int                     司机与出发地的路面距离，单位：米
start_dest_distance     int                     出发地与终点的路面距离，单位：米
departure_time          string                  出发时间（预约单的预约时间，实时单为发单时间）
strive_time             string                  抢单成功时间
consult_time            string                  协商时间
arrive_time             string                  司机点击‘我已到达’的时间
setoncar_time           string                  上车时间（暂时不用）
begin_charge_time       string                  司机点机‘开始计费’的时间
finish_time             string                  完成时间
year                    string
month                   string
day                     string                                      # Partition Information
# col_name              data_type               comment             year                    string
month                   string
day                     string              

import subprocess
from subprocess import Popendef desc_table(db, table):process = Popen('hive -e "desc %s.%s"' % (db, table),shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)stdout, stderr = process.communicate()is_column = Truestructure_list = list()column_list = list()for line in stdout.split('\n'):value_list = list()if not line or len(line.split()) < 2:breakif is_column:column_list = line.split()is_column = Falsecontinueelse:value_list = line.split()structure_dict = dict(zip(column_list, value_list))structure_list.append(structure_dict)return structure_list

#!/bin/bashsource /etc/profilesource ~/.bash_profile

#hadoop目录echo "HADOOP_HOME: "$HADOOP_HOMEHADOOP="$HADOOP_HOME/bin/hadoop"

DB=$1TABLE=$2YEAR=$3MONTH=$4DAY=$5echo $DB--$TABLE--$YEAR--$MONTH--$DAY

if [ "$DB" = "gulfstream_ods" ]then    DB_NAME="gulfstream"else    DB_NAME=$DBfiTABLE_NAME=$TABLE

#输入路径input_path="/user/xiaoju/data/bi/$DB_NAME/$TABLE_NAME/$YEAR/$MONTH/$DAY/*"#标记文件后缀名input_mark="_SUCCESS"echo $input_path#输出路径output_path="/user/bigdata-t/QA/yangfan/$DB_NAME/$TABLE_NAME/$YEAR/$MONTH/$DAY"output_mark="_SUCCESS"echo $output_path#性能约束参数capacity_mapper=500capacity_reducer=200map_num=10reducer_num=10queue_name="root.dashujudidiyanjiuyuan-zhinengpingtaibu.datapolicy-develop"#启动job namejob_name="DW_Monitor_${DB_NAME}_${TABLE_NAME}_${YEAR}${MONTH}${DAY}"mapper="python mapper.py $DB $TABLE_NAME"reducer="python reducer.py"

$HADOOP fs -rmr $output_path$HADOOP jar $HADOOP_HOME/share/hadoop/tools/lib/hadoop-streaming-2.7.2.jar \    -jobconf mapred.job.name="$job_name" \    -jobconf mapred.job.queue.name=$queue_name \    -jobconf mapred.map.tasks=$map_num \    -jobconf mapred.reduce.tasks=$reducer_num \    -jobconf mapred.map.capacity=$capacity_mapper \    -jobconf mapred.reduce.capacity=$capacity_reducer \    -input $input_path \    -output $output_path \    -file ./mapper.py \    -file ./reducer.py \    -file ./utils.py \    -file ./"desc.${DB}.${TABLE_NAME}" \    -mapper "$mapper" \    -reducer "$reducer"if [ $? -ne 0 ]; then        echo "$DB_NAME $TABLE_NAME $YEAR $MONTH $DAY run faild"fi$HADOOP fs -touchz "${output_path}/$output_mark"rm -rf ./${DB_NAME}.${TABLE_NAME}.${YEAR}-${MONTH}-${DAY}$HADOOP fs -get $output_path/part-00000 ./${DB_NAME}.${TABLE_NAME}.${YEAR}-${MONTH}-${DAY}

# -*- coding:utf-8 -*-
#!/usr/bin/env python
import sys
import json
import pickle
reload(sys)
sys.setdefaultencoding('utf-8')# 将字段和元数据匹配, 返回迭代器
def read_from_input(file, separator, columns):for line in file:if line is None or line == '':continuedata_list = mapper_input(line, separator)if not data_list:continueitem = None# 最后3列, 年月日作为partitionkey, 无用if len(data_list) == len(columns) - 3:item = dict(zip(columns, data_list))elif len(data_list) == len(columns):item = dict(zip(columns, data_list))if not item:continueyield itemdef index_columns(db, table):with open('desc.%s.%s' % (db, table), 'r') as fr:structure_list = deserialize(fr.read())return [column.get('col_name') for column in structure_list]# map入口
def main(separator, columns):items = read_from_input(sys.stdin, separator, columns)mapper_result = {}for item in items:mapper_plugin_1(item, mapper_result)mapper_plugin_2(item, mapper_result)
def mapper_plugin_1(item, mapper_result):# key在现实中可以是不同appkey, 是用来分发到不同的reducer上的, 相同的route用来分发到相同的reducerkey = 'route1'area = item.get('area')district = item.get('district')order_id = item.get('order_id')if not area or not district or not order_id:returnmapper_output(key, {'area': area, 'district': district, 'order_id': order_id, 'count': 1})def mapper_plugin_2(item, mapper_result):key = 'route2'strive_time = item.get('strive_time')order_id = item.get('order_id')if not strive_time or not order_id:returntry:day_hour = strive_time.split(':')[0]mapper_output(key, {'order_id': order_id, 'strive_time': strive_time, 'count': 1, 'day_hour': day_hour})except Exception, ex:passdef serialize(data, type='json'):if type == 'json':try:return json.dumps(data)except Exception, ex:return ''elif type == 'pickle':try:return pickle.dumps(data)except Exception, ex:return ''else:return ''def deserialize(data, type='json'):if type == 'json':try:return json.loads(data)except Exception, ex:return []elif type == 'pickle':try:return pickle.loads(data)except Exception, ex:return []else:return []def mapper_input(line, separator='\t'):try:return line.split(separator)except Exception, ex:return Nonedef mapper_output(key, data, separator='\t'):key = str(key)data = serialize(data)print '%s%s%s' % (key, separator, data)# print >> sys.stderr, '%s%s%s' % (key, separator, data)if __name__ == '__main__':db = sys.argv[1]table = sys.argv[2]columns = index_columns(db, table)main('||', columns)

#!/usr/bin/env python
# vim: set fileencoding=utf-8
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
import json
import pickle
from itertools import groupby
from operator import itemgetterdef read_from_mapper(file, separator):for line in file:yield reducer_input(line)def main(separator='\t'):reducer_result = {}line_list = read_from_mapper(sys.stdin, separator)for route_key, group in groupby(line_list, itemgetter(0)):if route_key is None:continuereducer_result.setdefault(route_key, {})if route_key == 'route1':reducer_plugin_1(route_key, group, reducer_result)reducer_output(route_key, reducer_result[route_key])if route_key == 'route2':reducer_plugin_2(route_key, group, reducer_result)reducer_output(route_key, reducer_result[route_key])

def reducer_plugin_1(route_key, group, reducer_result):for _, data in group:if data is None or len(data) == 0:continueif not data.get('area') or not data.get('district') or not data.get('count'):continuekey = '_'.join([data.get('area'), data.get('district')])reducer_result[route_key].setdefault(key, 0)reducer_result[route_key][key] += int(data.get('count'))# print >> sys.stderr, '%s' % json.dumps(reducer_result[route_key])def reducer_plugin_2(route_key, group, reducer_result):for _, data in group:if data is None or len(data) == 0:continueif not data.get('order_id') or not data.get('strive_time') or not data.get('count') or not data.get('day_hour'):continuekey = data.get('day_hour')reducer_result[route_key].setdefault(key, {})reducer_result[route_key][key].setdefault('count', 0)reducer_result[route_key][key].setdefault('order_list', [])reducer_result[route_key][key]['count'] += int(data.get('count'))if len(reducer_result[route_key][key]['order_list']) < 100:reducer_result[route_key][key]['order_list'].append(data.get('order_id'))# print >> sys.stderr, '%s' % json.dumps(reducer_result[route_key])
def serialize(data, type='json'):if type == 'json':try:return json.dumps(data)except Exception, ex:return ''elif type == 'pickle':try:return pickle.dumps(data)except Exception, ex:return ''else:return ''def deserialize(data, type='json'):if type == 'json':try:return json.loads(data)except Exception, ex:return []elif type == 'pickle':try:return pickle.loads(data)except Exception, ex:return []else:return []def reducer_input(data, separator='\t'):data_list = data.strip().split(separator, 2)key = data_list[0]data = deserialize(data_list[1])return [key, data]def reducer_output(key, data, separator='\t'):key = str(key)data = serialize(data)print '%s\t%s' % (key, data)# print >> sys.stderr, '%s\t%s' % (key, data)if __name__ == '__main__':main()

# -*- coding:utf-8 -*-
#!/usr/bin/env python
import sys
import json
import pickle
reload(sys)
sys.setdefaultencoding('utf-8')# 将字段和元数据匹配, 返回迭代器
def read_from_input(file, separator, columns):for line in file:if line is None or line == '':continuedata_list = mapper_input(line, separator)if not data_list:continueitem = None# 最后3列, 年月日作为partitionkey, 无用if len(data_list) == len(columns) - 3:item = dict(zip(columns, data_list))elif len(data_list) == len(columns):item = dict(zip(columns, data_list))if not item:continueyield itemdef index_columns(db, table):with open('desc.%s.%s' % (db, table), 'r') as fr:structure_list = deserialize(fr.read())return [column.get('col_name') for column in structure_list]# map入口
def main(separator, columns):items = read_from_input(sys.stdin, separator, columns)mapper_result = {}for item in items:mapper_plugin_1(item, mapper_result)mapper_plugin_2(item, mapper_result)for route_key, route_value in mapper_result.iteritems():for key, value in route_value.iteritems():ret_dict = dict()ret_dict['route_key'] = route_keyret_dict['key'] = keyret_dict.update(value)mapper_output('route_total', ret_dict)def mapper_plugin_1(item, mapper_result):# key在现实中可以是不同appkey, 是用来分发到不同的reducer上的, 相同的route用来分发到相同的reducerkey = 'route1'area = item.get('area')district = item.get('district')order_id = item.get('order_id')if not area or not district or not order_id:returntry:# total统计
        mapper_result.setdefault(key, {})mapper_result[key].setdefault('_'.join([area, district]), {})mapper_result[key]['_'.join([area, district])].setdefault('count', 0)mapper_result[key]['_'.join([area, district])].setdefault('order_id', [])mapper_result[key]['_'.join([area, district])]['count'] += 1if len(mapper_result[key]['_'.join([area, district])]['order_id']) < 10:mapper_result[key]['_'.join([area, district])]['order_id'].append(order_id)except Exception, ex:passdef mapper_plugin_2(item, mapper_result):key = 'route2'strive_time = item.get('strive_time')order_id = item.get('order_id')if not strive_time or not order_id:returntry:day_hour = strive_time.split(':')[0]# total统计
        mapper_result.setdefault(key, {})mapper_result[key].setdefault(day_hour, {})mapper_result[key][day_hour].setdefault('count', 0)mapper_result[key][day_hour].setdefault('order_id', [])mapper_result[key][day_hour]['count'] += 1if len(mapper_result[key][day_hour]['order_id']) < 10:mapper_result[key][day_hour]['order_id'].append(order_id)except Exception, ex:passdef serialize(data, type='json'):if type == 'json':try:return json.dumps(data)except Exception, ex:return ''elif type == 'pickle':try:return pickle.dumps(data)except Exception, ex:return ''else:return ''def deserialize(data, type='json'):if type == 'json':try:return json.loads(data)except Exception, ex:return []elif type == 'pickle':try:return pickle.loads(data)except Exception, ex:return []else:return []def mapper_input(line, separator='\t'):try:return line.split(separator)except Exception, ex:return Nonedef mapper_output(key, data, separator='\t'):key = str(key)data = serialize(data)print '%s%s%s' % (key, separator, data)# print >> sys.stderr, '%s%s%s' % (key, separator, data)if __name__ == '__main__':db = sys.argv[1]table = sys.argv[2]columns = index_columns(db, table)main('||', columns)

#!/usr/bin/env python
# vim: set fileencoding=utf-8
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
import json
import pickle
from itertools import groupby
from operator import itemgetterdef read_from_mapper(file, separator):for line in file:yield reducer_input(line)def main(separator='\t'):reducer_result = {}line_list = read_from_mapper(sys.stdin, separator)for route_key, group in groupby(line_list, itemgetter(0)):if route_key is None:continuereducer_result.setdefault(route_key, {})if route_key == 'route_total':reducer_total(route_key, group, reducer_result)reducer_output(route_key, reducer_result[route_key])def reducer_total(route_key, group, reducer_result):for _, data in group:if data is None or len(data) == 0:continueif data.get('route_key') == 'route1':reducer_result[route_key].setdefault(data.get('route_key'), {})reducer_result[route_key][data.get('key')].setdefault('count', 0)reducer_result[route_key][data.get('key')].setdefault('order_id', [])reducer_result[route_key][data.get('key')]['count'] += data.get('count')for order_id in data.get('order_id'):if len(reducer_result[route_key][data.get('key')]['order_id']) <= 10:reducer_result[route_key][data.get('key')]['order_id'].append(order_id)elif data.get('route_key') == 'route2':reducer_result[route_key].setdefault(data.get('route_key'), {})reducer_result[route_key][data.get('key')].setdefault('count', 0)reducer_result[route_key][data.get('key')].setdefault('order_id', [])reducer_result[route_key][data.get('key')]['count'] += data.get('count')for order_id in data.get('order_id'):if len(reducer_result[route_key][data.get('key')]['order_id']) <= 10:reducer_result[route_key][data.get('key')]['order_id'].append(order_id)else:passdef serialize(data, type='json'):if type == 'json':try:return json.dumps(data)except Exception, ex:return ''elif type == 'pickle':try:return pickle.dumps(data)except Exception, ex:return ''else:return ''def deserialize(data, type='json'):if type == 'json':try:return json.loads(data)except Exception, ex:return []elif type == 'pickle':try:return pickle.loads(data)except Exception, ex:return []else:return []def reducer_input(data, separator='\t'):data_list = data.strip().split(separator, 2)key = data_list[0]data = deserialize(data_list[1])return [key, data]def reducer_output(key, data, separator='\t'):key = str(key)data = serialize(data)print '%s\t%s' % (key, data)# print >> sys.stderr, '%s\t%s' % (key, data)if __name__ == '__main__':main()