-
Notifications
You must be signed in to change notification settings - Fork 1
/
sparkTask.py
432 lines (324 loc) · 24.1 KB
/
sparkTask.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
# encoding=gb18030
import multiprocessing
import sys
import constant
import utils
from constant import root_path
logger = utils.get_logger('sparkTask')
input = "/user/go2data_rank/taoyongbo/input/"
output = "/user/go2data_rank/taoyongbo/output/"
def poi_task(environment='beta', rank_output_path=constant.default_rank_output_path):
logger.info("spark poi_task process,environment:{environment}".format(environment=environment))
scala_jar_path = root_path + environment + '/scala_spark/'
scala_libjars_path = scala_jar_path + 'lib'
fileList, dirList = utils.get_files(scala_libjars_path)
libjars = ",".join(fileList)
commond = "spark-submit --master yarn --deploy-mode cluster --name PoiTask --class cluster.task.PoiTask --executor-memory 4G --num-executors 19 --executor-cores 5 --conf spark.default.parallelism=300 " + scala_jar_path + "poi-rank-1.0-SNAPSHOT.jar " + input + " " + rank_output_path
utils.execute_command(commond, shell=True)
logger.info("spark poi_task finished")
def structure_task(environment='beta'):
logger.info("spark structure_task process:{environment}".format(environment=environment))
scala_jar_path = root_path + environment + '/scala_spark/'
scala_libjars_path = scala_jar_path + 'lib'
fileList, dirList = utils.get_files(scala_libjars_path)
libjars = ",".join(fileList)
commond = "spark-submit --master yarn --deploy-mode cluster --name StructureTask --class cluster.task.StructureTask --executor-memory 4G --num-executors 19 --executor-cores 5 --conf spark.default.parallelism=350 " + scala_jar_path + "poi-rank-1.0-SNAPSHOT.jar " + input + " " + output
utils.execute_command(commond, shell=True)
logger.info("spark structure_task finished")
def matchcount_task(environment='beta'):
logger.info("spark matchcount_task process:{environment}".format(environment=environment))
scala_jar_path = root_path + environment + '/scala_spark/'
scala_libjars_path = scala_jar_path + 'lib'
fileList, dirList = utils.get_files(scala_libjars_path)
libjars = ",".join(fileList)
commond = "spark-submit --master yarn --deploy-mode cluster --name MatchCountTask --class cluster.task.MatchCountTask --executor-memory 4G --num-executors 19 --executor-cores 5 --conf spark.default.parallelism=5000 " + scala_jar_path + "poi-rank-1.0-SNAPSHOT.jar " + input + " " + output
utils.execute_command(commond, shell=True)
logger.info("spark matchcount_task finished")
def rank_optimize_task(environment='beta', rank_output_path=constant.default_rank_output_path):
logger.info("spark rank_optimization process:{environment}".format(environment=environment))
scala_jar_path = root_path + environment + '/scala_spark/'
scala_libjars_path = scala_jar_path + 'lib'
fileList, dirList = utils.get_files(scala_libjars_path)
libjars = ",".join(fileList)
commond = "spark-submit --master yarn --deploy-mode cluster --name RankOptimizeTask --class cluster.task.RankOptimizeTask --jars " + libjars + " --executor-memory 4G --num-executors 19 --executor-cores 5 --conf spark.default.parallelism=350 " + scala_jar_path + "poi-rank-1.0-SNAPSHOT.jar " + input + " " + rank_output_path
utils.execute_command(commond, shell=True)
logger.info("spark rank_optimization finished")
def rank_distcp():
logger.info("rank_distcp process")
commond0 = "hadoop fs -rmr " + constant.yarn_multiRank_output_path + " " + constant.yarn_hotCountRank_output_path + " " + constant.yarn_hitCountRank_output_path
utils.execute_command(commond0, shell=True)
commond1 = "hadoop distcp -overwrite -m 50 " + constant.yarn_mars_path + constant.zeus_multiRank_path + " " + constant.yarn_multiRank_output_path
utils.execute_command(commond1, shell=True)
commond2 = "hadoop distcp -overwrite -m 50 " + constant.yarn_mars_path + constant.zeus_hotCountRank_path + " " + constant.yarn_hotCountRank_output_path
utils.execute_command(commond2, shell=True)
commond3 = "hadoop distcp -overwrite -m 50 " + constant.yarn_mars_path + constant.zeus_hitCountRank_path + " " + constant.yarn_hitCountRank_output_path
utils.execute_command(commond3, shell=True)
logger.info("rank_distcp finished")
def poiXml_myself_distcp(zeus_myself_path=None, rank_output_path=constant.default_rank_output_path):
logger.info("poiXml_myself_distcp process")
if zeus_myself_path is not None:
constant.zeus_myself_path = zeus_myself_path
rm_commond3 = "hadoop fs -rmr " + rank_output_path + constant.yarn_myself_input_path
utils.execute_command(rm_commond3, shell=True)
commond3 = "hadoop distcp -overwrite -m 30 " + constant.yarn_mars_path + constant.zeus_myself_path + " " + rank_output_path + constant.yarn_myself_input_path
utils.execute_command(commond3, shell=True)
logger.info("poiXml_myself_distcp finished")
def poiXml_poi_distcp(zeus_poi_path=None, rank_output_path=constant.default_rank_output_path):
logger.info("poiXml_poi_distcp process")
if zeus_poi_path is not None:
constant.zeus_poi_path = zeus_poi_path
rm_commond1 = "hadoop fs -rmr " + rank_output_path + constant.yarn_poi_input_path
utils.execute_command(rm_commond1, shell=True)
commond1 = "hadoop distcp -overwrite " + constant.yarn_mars_path + constant.zeus_poi_path + " " + rank_output_path + constant.yarn_poi_input_path
utils.execute_command(commond1, shell=True)
logger.info("poiXml_poi_distcp finished")
def poiXml_buspoi_distcp(zeus_buspoi_path=None):
logger.info("poiXml_buspoi_distcp process")
if zeus_buspoi_path is not None:
constant.zeus_buspoi_path = zeus_buspoi_path
rm_commond2 = "hadoop fs -rmr " + constant.yarn_buspoi_input_path
utils.execute_command(rm_commond2, shell=True)
commond2 = "hadoop distcp -overwrite " + constant.yarn_mars_path + constant.zeus_buspoi_path + " " + constant.yarn_buspoi_input_path
utils.execute_command(commond2, shell=True)
logger.info("poiXml_buspoi_distcp finished")
def xml_distcp(zeus_poi_path, zeus_myself_path, zeus_structure_path, zeus_polygon_path, rank_output_path):
pool = multiprocessing.Pool(processes=5)
for i in range(1, 6):
if i == 1:
pool.apply_async(poiXml_poi_distcp, (zeus_poi_path, rank_output_path,))
if i == 2:
pool.apply_async(poiXml_myself_distcp, (zeus_myself_path, rank_output_path,))
if i == 3:
continue
# pool.apply_async(poiXml_buspoi_distcp, (zeus_buspoi_path,))
if i == 4:
pool.apply_async(structure_distcp, (zeus_structure_path, rank_output_path,))
if i == 5:
pool.apply_async(polygon_distcp, (zeus_polygon_path, rank_output_path,))
pool.close()
pool.join()
def structure_distcp(zeus_structure_path=None, rank_output_path=constant.default_rank_output_path):
if zeus_structure_path is not None:
constant.zeus_structure_path = zeus_structure_path
logger.info("structure_distcp process")
rm_commond = "hadoop fs -rmr " + rank_output_path + constant.yarn_structure_input_path
utils.execute_command(rm_commond, shell=True)
commond = "hadoop distcp -overwrite " + constant.yarn_mars_path + constant.zeus_structure_path + " " + rank_output_path + constant.yarn_structure_input_path
utils.execute_command(commond, shell=True)
logger.info("structure_distcp finished")
def polygon_distcp(zeus_polygon_path=None, rank_output_path=constant.default_rank_output_path):
if zeus_polygon_path is not None:
constant.zeus_polygon_path = zeus_polygon_path
logger.info("polygon_distcp process")
rm_commond = "hadoop fs -rmr " + rank_output_path + constant.yarn_polygon_input_path
utils.execute_command(rm_commond, shell=True)
commond = "hadoop distcp -overwrite " + constant.yarn_mars_path + constant.zeus_polygon_path + " " + rank_output_path + constant.yarn_polygon_input_path
utils.execute_command(commond, shell=True)
logger.info("polygon_distcp finished")
def gps_distcp(rank_output_path=constant.default_rank_output_path):
logger.info("gps_distcp process")
rm_commond = "hadoop fs -rmr " + rank_output_path + constant.yarn_gps_input_path
utils.execute_command(rm_commond, shell=True)
commond = "hadoop distcp -overwrite -m 50 " + constant.zeus_path + constant.zeus_gps_path + " " + rank_output_path + constant.yarn_gps_input_path
utils.execute_command(commond, shell=True)
logger.info("gps_distcp finished")
def matchCount_distcp():
logger.info("matchCount_distcp process")
rm_commond = "hadoop fs -rmr " + constant.yarn_matchCount_input_path
utils.execute_command(rm_commond, shell=True)
commond = "hadoop distcp -update -skipcrccheck -m 50 " + constant.yarn_matchCount_output_path + " " + constant.yarn_matchCount_input_path
utils.execute_command(commond, shell=True)
logger.info("matchCount_distcp finished")
def filter_source_distcp(zeus_filterPoi_input_path, zeus_similarQueryCount_path,rank_output_path):
logger.info("filter_source_distcp process")
fq_rm_commond = "hadoop fs -rmr " + rank_output_path+constant.yarn_filterPoi_input_path
utils.execute_command(fq_rm_commond, shell=True)
sq_commond = "hadoop distcp -update -skipcrccheck -m 50 " + constant.yarn_mars_path + zeus_filterPoi_input_path + " " + rank_output_path+constant.yarn_filterPoi_input_path
utils.execute_command(sq_commond, shell=True)
sq_rm_commond = "hadoop fs -rmr " + rank_output_path+constant.yarn_similarQueryCount_input_path
utils.execute_command(sq_rm_commond, shell=True)
sq_commond = "hadoop distcp -update -skipcrccheck -m 50 " + constant.yarn_mars_path + zeus_similarQueryCount_path + " " + rank_output_path+constant.yarn_similarQueryCount_input_path
utils.execute_command(sq_commond, shell=True)
sv_rm_commond = "hadoop fs -rmr " + constant.yarn_sogouViewCount_input_path
utils.execute_command(sv_rm_commond, shell=True)
sv_commond = "hadoop distcp -update -skipcrccheck -m 50 " + constant.zeus_path + constant.zeus_sogouViewCount_path + " " + constant.yarn_sogouViewCount_input_path
utils.execute_command(sv_commond, shell=True)
vrh_rm_commond = "hadoop fs -rmr " + constant.yarn_vrHitCount_input_path
utils.execute_command(vrh_rm_commond, shell=True)
vrh_commond = "hadoop distcp -update -skipcrccheck -m 50 " + constant.zeus_path + constant.zeus_vrHitCount_path + " " + constant.yarn_vrHitCount_input_path
utils.execute_command(vrh_commond, shell=True)
vrv_rm_commond = "hadoop fs -rmr " + constant.yarn_vrViewCount_input_path
utils.execute_command(vrv_rm_commond, shell=True)
vrv_commond = "hadoop distcp -update -skipcrccheck -m 50 " + constant.zeus_path + constant.zeus_vrViewCount_path + " " + constant.yarn_vrViewCount_input_path
utils.execute_command(vrv_commond, shell=True)
logger.info("filter_source_distcp finished")
def rankCombine_task(environment='beta',rank_output_path=constant.default_rank_output_path):
logger.info("spark rankCombine_task process:{environment}".format(environment=environment))
scala_jar_path = root_path + environment + '/scala_spark/'
scala_libjars_path = scala_jar_path + 'lib'
fileList, dirList = utils.get_files(scala_libjars_path)
libjars = ",".join(fileList)
commond = "spark-submit --master yarn --deploy-mode cluster --name RankCombineTask --class cluster.task.RankCombineTask --jars " + libjars + " --executor-memory 4G --num-executors 19 --executor-cores 5 --conf spark.default.parallelism=350 " + scala_jar_path + "poi-rank-1.0-SNAPSHOT.jar " + input + " " + rank_output_path
utils.execute_command(commond, shell=True)
logger.info("spark rankCombine_task finished")
def featureCombine_task(environment='beta'):
logger.info("spark featureCombine_task process:{environment}".format(environment=environment))
scala_jar_path = root_path + environment + '/scala_spark/'
scala_libjars_path = scala_jar_path + 'lib'
fileList, dirList = utils.get_files(scala_libjars_path)
libjars = ",".join(fileList)
commond = "spark-submit --master yarn --deploy-mode cluster --name FeatureCombineTask --class cluster.task.FeatureCombineTask --jars " + libjars + " --executor-memory 4G --num-executors 26 --executor-cores 6 --driver-memory 6G --conf spark.default.parallelism=350 --conf spark.storage.memoryFraction=0.5 --conf spark.shuffle.memoryFraction=0.3 " + scala_jar_path + "poi-rank-1.0-SNAPSHOT.jar " + input + " " + output
utils.execute_command(commond, shell=True)
logger.info("spark featureCombine_task finished")
def featureConvert_task(environment='beta', rank_output_path=constant.default_rank_output_path):
logger.info("spark featureConvert_task process:{environment}".format(environment=environment))
scala_jar_path = root_path + environment + '/scala_spark/'
scala_libjars_path = scala_jar_path + 'lib'
fileList, dirList = utils.get_files(scala_libjars_path)
libjars = ",".join(fileList)
commond = "spark-submit --master yarn --deploy-mode cluster --name FeatureConvertTask --class cluster.task.FeatureConvertTask --jars " + libjars + " --executor-memory 4G --num-executors 19 --executor-cores 5 --conf spark.default.parallelism=350 " + scala_jar_path + "poi-rank-1.0-SNAPSHOT.jar " + input + " " + rank_output_path
utils.execute_command(commond, shell=True)
logger.info("spark featureConvert_task finished")
def brandRank_task(environment='beta', rank_output_path=constant.default_rank_output_path):
logger.info("spark brandRank_task process:{environment}".format(environment=environment))
scala_jar_path = root_path + environment + '/scala_spark/'
scala_libjars_path = scala_jar_path + 'lib'
fileList, dirList = utils.get_files(scala_libjars_path)
libjars = ",".join(fileList)
commond = "spark-submit --master yarn --deploy-mode cluster --name BrandRankTask --class cluster.task.BrandRankTask --jars " + libjars + " --executor-memory 4G --num-executors 19 --executor-cores 5 --conf spark.default.parallelism=350 " + scala_jar_path + "poi-rank-1.0-SNAPSHOT.jar " + input + " " + rank_output_path
utils.execute_command(commond, shell=True)
logger.info("spark brandRank_task finished")
def gpsPopularity_task(environment='beta', rank_output_path=constant.default_rank_output_path):
logger.info("spark gpsPopularity_task process:{environment}".format(environment=environment))
scala_jar_path = root_path + environment + '/scala_spark/'
scala_libjars_path = scala_jar_path + 'lib'
fileList, dirList = utils.get_files(scala_libjars_path)
libjars = ",".join(fileList)
commond = "spark-submit --master yarn --deploy-mode cluster --name GpsPopularityTask --class cluster.task.GpsPopularityTask --jars " + libjars + " --executor-memory 4G --num-executors 19 --executor-cores 5 --conf spark.default.parallelism=3000 " + scala_jar_path + "poi-rank-1.0-SNAPSHOT.jar " + input + " " + rank_output_path
utils.execute_command(commond, shell=True)
logger.info("spark gpsPopularity_task finished")
def hotCountRank_task(environment='beta'):
logger.info("spark hotCountRank_task process:{environment}".format(environment=environment))
scala_jar_path = root_path + environment + '/scala_spark/'
scala_libjars_path = scala_jar_path + 'lib'
fileList, dirList = utils.get_files(scala_libjars_path)
libjars = ",".join(fileList)
commond = "spark-submit --master yarn --deploy-mode cluster --name HotCountRankTask --class cluster.task.HotCountRankTask --jars " + libjars + " --executor-memory 11G --num-executors 10 --executor-cores 5 --conf spark.default.parallelism=1 --conf spark.storage.memoryFraction=0.2 --conf spark.shuffle.memoryFraction=0.6 " + scala_jar_path + "poi-rank-1.0-SNAPSHOT.jar " + input + " " + output
utils.execute_command(commond, shell=True)
logger.info("spark hotCountRank_task finished")
def hitCountRank_task(environment='beta'):
logger.info("spark hitCountRank_task process:{environment}".format(environment=environment))
scala_jar_path = root_path + environment + '/scala_spark/'
scala_libjars_path = scala_jar_path + 'lib'
fileList, dirList = utils.get_files(scala_libjars_path)
libjars = ",".join(fileList)
commond = "spark-submit --master yarn --deploy-mode cluster --name HitCountRankTask --class cluster.task.HitCountRankTask --jars " + libjars + " --executor-memory 11G --num-executors 10 --executor-cores 5 --conf spark.default.parallelism=1 --conf spark.storage.memoryFraction=0.2 --conf spark.shuffle.memoryFraction=0.6 " + scala_jar_path + "poi-rank-1.0-SNAPSHOT.jar " + input + " " + output
utils.execute_command(commond, shell=True)
logger.info("spark hitCountRank_task finished")
def poirank_task(environment='beta'):
logger.info("spark poirank_task process:{environment}".format(environment=environment))
scala_jar_path = root_path + environment + '/scala_spark/'
scala_libjars_path = scala_jar_path + 'lib'
fileList, dirList = utils.get_files(scala_libjars_path)
libjars = ",".join(fileList)
commond = "spark-submit --master yarn --deploy-mode cluster --name PoiRankTask --class cluster.task.PoiRankTask --jars " + libjars + " --executor-memory 10G --num-executors 20 --executor-cores 5 --driver-memory 10G --driver-cores 10 --conf spark.default.parallelism=1 " + scala_jar_path + "poi-rank-1.0-SNAPSHOT.jar " + input + " " + output
utils.execute_command(commond, shell=True)
logger.info("spark poirank_task finished")
def polygonRank_task(environment='beta'):
logger.info("spark polygonRank_task process:{environment}".format(environment=environment))
scala_jar_path = root_path + environment + '/scala_spark/'
scala_libjars_path = scala_jar_path + 'lib'
fileList, dirList = utils.get_files(scala_libjars_path)
libjars = ",".join(fileList)
commond = "spark-submit --master yarn --deploy-mode cluster --name PolygonRankTask --class cluster.task.PolygonRankTask --jars " + libjars + " --executor-memory 11520M --num-executors 20 --executor-cores 15 --driver-memory 25G --driver-cores 10 --conf spark.default.parallelism=1 --conf spark.storage.memoryFraction=0.4 --conf spark.shuffle.memoryFraction=0.6 --conf spark.shuffle.consolidateFiles=true " + scala_jar_path + "poi-rank-1.0-SNAPSHOT.jar " + input + " " + output
utils.execute_command(commond, shell=True)
logger.info("spark polygonRank_task finished")
def structureMapRank_task(environment='beta', rank_output_path=constant.default_rank_output_path):
logger.info("spark structureMapRank_task process:{environment}".format(environment=environment))
scala_jar_path = root_path + environment + '/scala_spark/'
scala_libjars_path = scala_jar_path + 'lib'
fileList, dirList = utils.get_files(scala_libjars_path)
libjars = ",".join(fileList)
commond = "spark-submit --master yarn --deploy-mode cluster --name StructureMapRankTask --class cluster.task.StructureMapRankTask --jars " + libjars + " --executor-memory 4G --num-executors 19 --executor-cores 5 --conf spark.default.parallelism=350 " + scala_jar_path + "poi-rank-1.0-SNAPSHOT.jar " + input + " " + rank_output_path
utils.execute_command(commond, shell=True)
logger.info("spark structureMapRank_task finished")
def upload_hit_counts(rank_output_path=constant.default_rank_output_path):
rm_hit_count_commond = "hadoop fs -rmr "+rank_output_path+constant.yarn_searchCount_input_path
utils.execute_command(rm_hit_count_commond, shell=True)
upload_hit_count_commond = "hadoop fs -put " + constant.upload_local_path + 'hitcounts' + " " + rank_output_path + constant.yarn_searchCount_input_path
utils.execute_command(upload_hit_count_commond, shell=True)
def brandFeature_task(environment='beta',rank_output_path=constant.default_rank_output_path):
logger.info("spark brandRank_task process:{environment}".format(environment=environment))
scala_jar_path = root_path + environment + '/scala_spark/'
scala_libjars_path = scala_jar_path + 'lib'
fileList, dirList = utils.get_files(scala_libjars_path)
libjars = ",".join(fileList)
commond = "spark-submit --master yarn --deploy-mode cluster --name BrandFeatureTask --class cluster.task.BrandFeatureTask --jars " + libjars + " --executor-memory 4G --num-executors 19 --executor-cores 5 --conf spark.default.parallelism=350 " + scala_jar_path + "poi-rank-1.0-SNAPSHOT.jar " + input + " " + rank_output_path
utils.execute_command(commond, shell=True)
logger.info("spark brandRank_task finished")
def gpsCustomStatistic_task(rank_output_path, environment='beta'):
logger.info("spark gpsCustomStatistic_task process:{environment}".format(environment=environment))
scala_jar_path = root_path + environment + '/scala_spark/'
scala_libjars_path = scala_jar_path + 'lib'
fileList, dirList = utils.get_files(scala_libjars_path)
libjars = ",".join(fileList)
commond = "spark-submit --master yarn --deploy-mode cluster --name gpsCustomStatistic_task --class cluster.tempTask.GpsCustomStatisticTask --jars " + libjars + " --executor-memory 4G --num-executors 19 --executor-cores 5 --conf spark.default.parallelism=5000 " + scala_jar_path + "poi-rank-1.0-SNAPSHOT.jar " + input + " " + rank_output_path
utils.execute_command(commond, shell=True)
logger.info("spark gpsCustomStatistic_task finished")
def KeyWordStatisticTask(environment='beta'):
logger.info("spark KeyWordStatisticTask process:{environment}".format(environment=environment))
scala_jar_path = root_path + environment + '/scala_spark/'
scala_libjars_path = scala_jar_path + 'lib'
fileList, dirList = utils.get_files(scala_libjars_path)
libjars = ",".join(fileList)
commond = "spark-submit --master yarn --deploy-mode cluster --name KeyWordStatisticTask --class cluster.tempTask.KeyWordStatisticTask --jars " + libjars + " --executor-memory 4G --num-executors 19 --executor-cores 5 --conf spark.default.parallelism=350 " + scala_jar_path + "poi-rank-1.0-SNAPSHOT.jar " + input + " " + output
utils.execute_command(commond, shell=True)
logger.info("spark KeyWordStatisticTask finished")
def show_menu(task_menu):
print("***************current task list*****************")
sort_task_menu = sorted(task_menu.items(), key=lambda kv: kv[0])
for k, item in sort_task_menu:
print("{key}: {name} ".format(key=k, name=item['name']))
print("***************current task list*****************")
print("please input taskId for your choice")
def numbers_to_functions_to_strings(argument):
"""
Execute the function
"""
funcInfo = task_menu.get(argument, lambda: "nothing")
func = funcInfo.get('function')
return func()
task_menu = {
1: dict(name="xml_distcp", function=poiXml_myself_distcp),
2: dict(name="structure_distcp", function=structure_distcp),
3: dict(name="polygon_distcp", function=polygon_distcp),
4: dict(name="gps_distcp", function=gps_distcp),
5: dict(name="poi_task", function=poi_task),
6: dict(name="matchcount_task", function=matchcount_task),
7: dict(name="structure_task", function=structure_task),
8: dict(name="featureCombine_task", function=featureCombine_task),
9: dict(name="featureConvert_task", function=featureConvert_task),
10: dict(name="gpsPopularity_task", function=gpsPopularity_task),
11: dict(name="poirank_task", function=poirank_task),
12: dict(name="hotCountRank_task", function=hotCountRank_task),
13: dict(name="hitCountRank_task", function=hitCountRank_task),
14: dict(name="rankCombine_task", function=rankCombine_task),
15: dict(name="polygonRank_task", function=polygonRank_task),
16: dict(name="brandRank_task", function=brandRank_task),
17: dict(name="rank_optimize_task", function=rank_optimize_task),
18: dict(name="matchCount_distcp", function=matchCount_distcp),
19: dict(name="structureMapRank_task", function=structureMapRank_task),
20: dict(name="brandFeature_task", function=brandFeature_task),
21: dict(name="gpsCustomStatistic_task", function=gpsCustomStatistic_task),
22: dict(name="KeyWordStatisticTask", function=KeyWordStatisticTask),
}
def main():
show_menu(task_menu)
number = sys.stdin.readline().strip()
if not number.isdigit() or int(number) not in task_menu.keys():
logger.warning('taskId is invalid!')
sys.exit()
numbers_to_functions_to_strings(int(number))
sys.exit()
if __name__ == '__main__':
main()