def push_queue_items():
count_news_seed_queue_sql = """select count(*) from hainiu_queue where type=3 and fail_times=0;"""
insert_news_seed_internally_queue_items_sql = """
insert into hainiu_queue (type,action,params) values(3,%s,%s);
"""
count_news_seed_internally_sql = """select count(*) from hainiu_web_seed_internally where status=0 for update;"""
selec_news_seed_internally_sql = """select a_url,param,id from hainiu_web_seed_internally where status=0 limit %s,%s;"""
update_news_seed_internally_sql = """update hainiu_web_seed_internally set status=1 where id in (%s);"""
rl = LogUtil().get_base_logger()
try:
d = DBUtil(config._HAINIU_DB)
queue_total = d.read_one(count_news_seed_queue_sql)[0]
if queue_total != 0:
rl.info('last download_page queue not finish,last queue %s unFinish' % (queue_total))
return
starttime = time.clock()
d = DBUtil(config._HAINIU_DB)
total = long(d.read_one(count_news_seed_internally_sql)[0])
page_size = 1000
page = total / page_size
for i in range(0, page + 1):
sql = selec_news_seed_internally_sql % (0, page_size)
list = d.read_tuple(sql)
values = []
id_values = []
for l in list:
url = l[0]
url = url if url is not None else ''
param = l[1]
param = param if param is not None else ''
values.append((url,param))
id = l[2]
id_values.append(str(id))
if id_values.__len__() != 0:
random.shuffle(values)
d.executemany_no_commit(insert_news_seed_internally_queue_items_sql,values)
ids = ','.join(id_values)
sql = update_news_seed_internally_sql % (ids)
d.execute(sql)
endtime = time.clock()
worksec = int(round((endtime - starttime)))
rl.info('push seed_internally queue finish,total items %s,action time %s\'s' % (total,worksec))
except:
rl.exception()
rl.error(sql)
d.rollback()
finally:
d.close()
def push_queue_items():
count_news_seed_sql = """select count(*) from hainiu_web_seed where status=0;"""
select_news_seed_sql = """select url,category,last_crawl_time from hainiu_web_seed where status=0 limit %s,%s;"""
insert_news_seed_queue_items_sql = """insert into hainiu_queue (type,action,params) values(1,%s,%s);"""
count_news_seed_queue_sql = """select count(*) from hainiu_queue where type=1 and fail_times=0;"""
rl = LogUtil().get_base_logger()
try:
d = DBUtil(config._HAINIU_DB)
queue_total = d.read_one(count_news_seed_queue_sql)[0]
if queue_total != 0:
rl.info('last news_find queue not finish,last queue %s unFinish' %
(queue_total))
return
starttime = time.clock()
total = long(d.read_one(count_news_seed_sql)[0])
page_size = 1000
page = total / page_size
for i in range(0, page + 1):
sql = select_news_seed_sql % (i * page_size, page_size)
list = d.read_tuple(sql)
values = []
for l in list:
url = l[0]
publisher = get_tld(url)
publisher = publisher[0:publisher.index((
'.'))] if publisher.__contains__('.') else publisher
param = {}
param['category'] = l[1]
param['publisher'] = publisher
param = json.dumps(param, ensure_ascii=False)
values.append((url, param))
if values.__len__() != 0:
random.shuffle(values)
d.executemany(insert_news_seed_queue_items_sql, values)
endtime = time.clock()
worksec = int(round((endtime - starttime)))
rl.info(
'push news_find queue finish,total items %s,action time %s\'s' %
(total, worksec))
except:
rl.exception()
rl.error(sql)
d.rollback()
finally:
d.close()
def put_inner_to_queue():
redis_util = RedisUtill()
'''
'''
page_show_num = 10
# 统计hainiu_queue 未处理的记录数
select_queue_count_sql = """
select count(*) from hainiu_queue where type=%s and is_work=0 and fail_times=0;
"""
# 插入hainiu_queue表
insert_queue_sql = """
insert into hainiu_queue (type,action,params) values (%s, %s, %s);
"""
logger = LogUtil().get_logger("download_news_queue", "download_news_queue")
db_util = DBUtil(_HAINIU_DB)
db_util.execute_no_commit("set NAMES utf8mb4;")
try:
# 统计hainiu_queue 未处理的记录数
sql_params = [2]
res1 = db_util.read_one(select_queue_count_sql, sql_params)
queue_count = res1[0]
start_time = time.time()
if queue_count >= 5:
logger.info("hainiu_queue 有 %d 条未处理的记录，不需要导入！" % queue_count)
return None
inner_count = 0
for ip in ips:
key_list = []
scan_limit_to_queue_table(ip, port, 0, 'down:*', 20, key_list)
inner_count = inner_count + len(key_list)
# 根据key列表上Redis里获取value列表
values = redis_util.get_values_batch_keys(key_list)
# 导入hainiu_queue表
insert_queue_record = []
for value in values:
queue_param = json.loads(value)
a_url = queue_param['a_url']
insert_queue_record.append((2, a_url, value))
db_util.executemany_no_commit(insert_queue_sql,
insert_queue_record)
db_util.commit()
# 把导入表后的key列表从redis里删掉
redis_util.delete_batch(key_list)
end_time = time.time()
run_time = end_time - start_time
logger.info("本地导入 %d 条数据， 用时 %.2f 秒" % (inner_count, run_time))
except Exception, e:
traceback.print_exc(e)
db_util.rollback()
def push_queue_items():
inert_sql = """
insert into hainiu_queue (type,params,action) values(1,%s,%s);
"""
count_sql = """
select count(1) from hainiu_queue where type=1;
"""
select_sql = """
select id from hainiu_queue where type=1 limit %s,%s;
"""
rl = LogUtil().get_base_logger()
try:
d = DBUtil(config._HAINIU_DB)
sql = inert_sql
insert_list = [("aaa", "bbb"), ("dffddf", "awwee")]
d.executemany(sql, insert_list)
sql = count_sql
queue_total = d.read_one(sql)[0]
print "queue_total", queue_total
page_size = 10
page = (queue_total / page_size) + 1
print "page", page
for i in range(0, page):
sql = select_sql % (i * page_size, page_size)
select_list = d.read_tuple(sql)
print "page", i
for record in select_list:
id = record[0]
print id
except:
rl.exception()
rl.error(sql)
d.rollback()
finally:
d.close()
def put_queue_inner():
# 统计queue符合条件的记录数
count_queue_sql = '''
select count(*) from web_queue where is_work=%s and fail_times < %s;
'''
# # 统计internally表的符合条件的总记录数
# count_inner_sql='''
# select count(*) from web_seed_internally where status=0;
# '''
#
# # web_seed_internally 表的记录
# select_inner_limit_sql='''
# select id,a_url,param from web_seed_internally where status=0 limit %s,%s;
# '''
# 插入queue表记录
insert_queue_sql = '''
insert into web_queue (type,action,params) values(%s,%s,%s);
'''
# web_seed_internally status
update_sql = '''
update web_seed_internally set status=1 where md5=%s and a_md5=%s;
'''
try:
# redis_tmp 数据
redis_d = RedisUtill()
db_uitl = DBUtil(_ZZ_DB)
ips = ['192.168.235.136', '192.168.235.137', '192.168.235.138']
port = '6379'
list = []
total_num = 0
is_get_lock = redis_d.get_lock('seed_lock', 10)
logger = LogUtil().get_base_logger()
sql_params = [0, _QUEUE_ZZ['MAX_FAIL_TIMES']]
res1 = db_uitl.read_one(count_queue_sql, sql_params)
total_num1 = res1[0]
if total_num1 != 0:
logger.info("queue has %d records,not insert!" % total_num1)
return None
logger.info("正在获取锁...")
if is_get_lock:
logger.info("获取到锁")
start_time = time.time()
def scan_limit_to_queue_table(host, port, cursor, match, count):
r = redis.Redis(host, port)
rs = r.scan(cursor, match, count)
# 新游标
next_num = rs[0]
# print rs
li = rs[1]
for i in li:
if i.__contains__('a_url'):
list.append(i)
# 递归出口
if next_num == 0:
return None
scan_limit_to_queue_table(host, port, next_num, match, count)
for ip in ips:
scan_limit_to_queue_table(ip, port, 0, 'seed_temp*', 100)
# 分页插入queue表
redis_result = []
up_inner = []
delete_list = []
for k in list:
if k.__contains__('a_url'):
# 确定同一MD5的其他参数的key
param = k.replace('a_url', 'param')
md5 = k.replace('a_url', 'md5')
a_md5 = k.replace('a_url', 'a_md5')
action = redis_d.get_value_for_key(k)
params = redis_d.get_value_for_key(param)
redis_result.append((2, action, params))
md5_val = redis_d.get_value_for_key(md5)
a_md5_val = redis_d.get_value_for_key(a_md5)
up_inner.append((md5_val, a_md5_val))
# 添加要删除的列表
delete_list.append(k)
delete_list.append(param)
delete_list.append(md5)
delete_list.append(a_md5)
total_num += 1
# 批量插入queue
if (len(redis_result) == 5):
db_uitl.executemany(insert_queue_sql, redis_result)
db_uitl.executemany(update_sql, up_inner)
redis_result = []
up_inner = []
# 提交不满五个的最后一组
db_uitl.executemany(insert_queue_sql, redis_result)
db_uitl.executemany(update_sql, up_inner)
# 删除redis_tmp
redis_d.delete_batch(delete_list)
redis_d.release('seed_lock')
logger.info("释放锁")
else:
logger.info('其他线程正在处理，获取锁超过最大超时时间，退出处理逻辑 ')
end_time = time.time()
run_time = end_time - start_time
logger.info("total_num:%d, run_time:%.2f" % (total_num, run_time))
except Exception, err:
db_uitl.rollback()
redis_d.release('seed_lock')
traceback.print_exc(err)
def put_queue(page_show_num):
db_util = DBUtil(_ZZ_DB)
# 统计queue符合条件的记录数
count_queue_sql = '''
select count(*) from web_queue where is_work=%s and fail_times < %s;
'''
# 统计web_seed表的符合条件的总记录数
count_seed_sql = '''
select count(*) from web_seed where status=0;
'''
# 分页查询web_seed 表的记录
select_seed_limit_sql = '''
select id,url,category from web_seed where status=0 limit %s,%s;
'''
# 插入queue表记录
insert_queue_sql = '''
insert into web_queue (type,action,params) values(%s,%s,%s);
'''
# 更新web_seed表中的 status
update_sql = '''
update web_seed set status=1 where id in(%s);
'''
try:
sql_params = [0, _QUEUE_ZZ["MAX_FAIL_TIMES"]]
res1 = db_util.read_one(count_queue_sql, sql_params)
total_num1 = res1[0]
if total_num1 != 0:
print "queue has %d records,not insert!" % total_num1
return None
start_time = time.time()
# 统计web_seed 表符合条件的总记录数
res2 = db_util.read_one(count_seed_sql)
total_num2 = res2[0]
# 计算分多少页查询
page_num = total_num2 / page_show_num if total_num2 % page_show_num == 0 else total_num2 / page_show_num + 1
# 分页查询
ids = []
for i in range(0, page_num):
sql_params = [i * page_show_num, page_show_num]
print sql_params
res3 = db_util.read_dict(select_seed_limit_sql, sql_params)
list1 = []
for row in res3:
id = row["id"]
ids.append(str(id))
action = row["url"]
params = row["category"]
type = 1
list1.append((type, action, params))
# 批量插入queue
db_util.executemany(insert_queue_sql, list1)
# 更新 status=1
db_util.execute_no_commit(update_sql % ",".join(ids))
db_util.commit()
end_time = time.time()
run_time = end_time - start_time
print "total_num:%d, run_time:%.2f" % (total_num2, run_time)
except Exception, err:
db_util.rollback()
traceback.print_exc(err)
def put_seed():
# 统计seed符合条件的记录数
count_queue_sql = '''
select count(*) from web_seed where status=%s and fail_times < %s;
'''
# 统计web_seed表的符合条件的总记录数
count_exter_sql = '''
select count(*) from web_seed_externally where status=0;
'''
# web_seed_externally 表的记录
select_exter_limit_sql = '''
select id,a_url,a_md5,a_host,param from web_seed_externally where status=0 limit %s,%s;
'''
# 插入seed表记录
insert_seed_sql = '''
insert into web_seed (url,md5,domain,host,category) values (%s,%s,%s,%s,%s);
'''
# web_seed_internally status
update_sql = '''
update web_seed_externally set status=1 where id in(%s);
'''
db_uitl = DBUtil(_ZZ_DB)
sql_params = [0, _QUEUE_ZZ['MAX_FAIL_TIMES']]
res1 = db_uitl.read_one(count_queue_sql, sql_params)
total_num1 = res1[0]
if total_num1 != 0:
print "queue has %d records,not insert!" % total_num1
return None
start_time = time.time()
res2 = db_uitl.read_one(count_exter_sql)
total_num2 = res2[0]
# 计算分多少页查询
page_num = total_num2 / _QUEUE_ZZ["LIMIT_NUM"] if total_num2 % _QUEUE_ZZ[
"LIMIT_NUM"] == 0 else total_num2 / _QUEUE_ZZ["LIMIT_NUM"] + 1
# hu = HtmlUtil()
# u = Util()
# 分页插入queue表
try:
ids = []
for i in range(0, page_num):
sql_params = [i * _QUEUE_ZZ["LIMIT_NUM"], _QUEUE_ZZ["LIMIT_NUM"]]
res3 = db_uitl.read_dict(select_exter_limit_sql, sql_params)
list1 = []
for row in res3:
id = row["id"]
ids.append(str(id))
url = row["a_url"]
domain = get_tld(url)
# host = hu.get_url_host(url)
# md5 = u.get_md5(url)
host = row["a_host"]
md5 = row["a_md5"]
category = row["param"]
list1.append((url, md5, domain, host, category))
# 批量插入queue
db_uitl.executemany(insert_seed_sql, list1)
# 更新status = 1
db_uitl.execute(update_sql % ",".join(ids))
except Exception, err:
db_uitl.rollback()
traceback.print_exc(err)
def put_queue_inner():
# 统计queue符合条件的记录数
count_queue_sql = '''
select count(*) from web_queue where is_work=%s and fail_times < %s;
'''
# 统计internally表的符合条件的总记录数
count_inner_sql = '''
select count(*) from web_seed_internally where status=0;
'''
# web_seed_internally 表的记录
select_inner_limit_sql = '''
select id,a_url,param from web_seed_internally where status=0 limit %s,%s;
'''
# 插入queue表记录
insert_queue_sql = '''
insert into web_queue (type,action,params) values(%s,%s,%s);
'''
# web_seed_internally status
update_sql = '''
update web_seed_internally set status=1 where id in(%s);
'''
db_uitl = DBUtil(_ZZ_DB)
try:
sql_params = [0, _QUEUE_ZZ['MAX_FAIL_TIMES']]
res1 = db_uitl.read_one(count_queue_sql, sql_params)
total_num1 = res1[0]
if total_num1 != 0:
print "queue has %d records,not insert!" % total_num1
return None
start_time = time.time()
res2 = db_uitl.read_one(count_inner_sql)
total_num2 = res2[0]
# 计算分多少页查询
page_num = total_num2 / _QUEUE_ZZ[
"LIMIT_NUM"] if total_num2 % _QUEUE_ZZ[
"LIMIT_NUM"] == 0 else total_num2 / _QUEUE_ZZ["LIMIT_NUM"] + 1
# 分页插入queue表
ids = []
for i in range(0, page_num):
sql_params = [i * _QUEUE_ZZ["LIMIT_NUM"], _QUEUE_ZZ["LIMIT_NUM"]]
res3 = db_uitl.read_dict(select_inner_limit_sql, sql_params)
list1 = []
for row in res3:
id = row["id"]
ids.append(str(id))
action = row["a_url"]
params1 = row["param"]
type = 2
list1.append((type, action, params1))
# 批量插入queue
db_uitl.executemany(insert_queue_sql, list1)
# 更新status = 1
db_uitl.execute(update_sql % ",".join(ids))
db_uitl.commit()
end_time = time.time()
run_time = end_time - start_time
print "total_num:%d, run_time:%.2f" % (total_num2, run_time)
except Exception, err:
db_uitl.rollback()
traceback.print_exc(err)
def put_seed_to_queue(page_show_num):
'''
采用分页查询种子表数据，批量导入到hainiu_queue
:param page_show_num: 一次查询条数
'''
# 统计hainiu_queue 未处理的记录数
select_queue_count_sql = """
select count(*) from hainiu_queue where type=%s and is_work=0 and fail_times=0;
"""
# 统计种子表符合条件的总记录数
select_seed_count_sql = """
select count(*) from hainiu_web_seed where status=0;
"""
# 分页查询种子表数据SQL
select_seed_limit_sql = """
select url, md5, domain, host, category from hainiu_web_seed
where status=0 limit %s,%s;
"""
# insert hainiu_queue sql
insert_queue_sql = """
insert into hainiu_queue (type,action,params) values (%s, %s, %s);
"""
logger = LogUtil().get_logger("news_find_queue", "news_find_queue")
db_util = DBUtil(_HAINIU_DB)
try:
#1) 统计hainiu_queue 未处理的记录数
sql_params = [1]
# res1 是 ()
res1 = db_util.read_one(select_queue_count_sql, sql_params)
queue_count = res1[0]
if queue_count >= 5:
logger.info("hainiu_queue 有 %d 条未处理的记录，不需要导入！" % queue_count)
return None
start_time = time.time()
#2) 统计种子表符合条件的总记录数
res2 = db_util.read_one(select_seed_count_sql)
seed_count = res2[0]
# 计算有多少页
page_num = seed_count / page_show_num if seed_count % page_show_num == 0 \
else seed_count / page_show_num + 1
# 分页查询
for i in range(page_num):
sql_params = [i * page_show_num, page_show_num]
# ({},{},{},{},{})
res3 = db_util.read_dict(select_seed_limit_sql, sql_params)
# 插入队列表的数据
insert_queue_values = []
params_dict = {}
for row in res3:
# url, md5, domain, host, category
act = row['url']
md5 = row['md5']
domain = row['domain']
host = row['host']
category = row['category']
params_dict['md5'] = md5
params_dict['domain'] = domain
params_dict['host'] = host
params_dict['category'] = category
params_json = json.dumps(params_dict,
ensure_ascii=False,
encoding='utf-8')
insert_queue_values.append((1, act, params_json))
# 把查询的数据批量插入到队列表
db_util.executemany(insert_queue_sql, insert_queue_values)
end_time = time.time()
run_time = end_time - start_time
logger.info("本地导入 %d 条数据， 用时 %.2f 秒" % (seed_count, run_time))
except Exception, e:
logger.exception(e)
def put_inner_to_queue():
'''
'''
page_show_num = 10
# 统计hainiu_queue 未处理的记录数
select_queue_count_sql = """
select count(*) from hainiu_queue where type=%s and is_work=0 and fail_times=0;
"""
# 统计内链接表符合条件的总记录数
select_inner_count_sql = """
select count(*) from hainiu_web_seed_internally where status=0;
"""
# 分页查询内链接表
select_inner_limit_sql = """
select md5,a_url,a_md5,domain,a_host,a_title from hainiu_web_seed_internally WHERE
status=0 limit 0,%s;
"""
# 插入hainiu_queue表
insert_queue_sql = """
insert into hainiu_queue (type,action,params) values (%s, %s, %s);
"""
# 更新内链接表的status状态
update_inner_status_sql = """
update hainiu_web_seed_internally set status=1 where a_md5=%s and md5=%s
"""
logger = LogUtil().get_logger("download_news_queue", "download_news_queue")
db_util = DBUtil(_HAINIU_DB)
try:
# 统计hainiu_queue 未处理的记录数
sql_params = [2]
res1 = db_util.read_one(select_queue_count_sql, sql_params)
queue_count = res1[0]
if queue_count >= 5:
logger.info("hainiu_queue 有 %d 条未处理的记录，不需要导入！" % queue_count)
return None
# 统计内链接表符合条件的总记录数
res2 = db_util.read_one(select_inner_count_sql)
inner_count = res2[0]
# 计算有多少页
page_num = inner_count / page_show_num if inner_count % page_show_num == 0 \
else inner_count / page_show_num + 1
start_time = time.time()
# 分页查询
for page in range(page_num):
sql_params = [page_show_num]
res3 = db_util.read_dict(select_inner_limit_sql, sql_params)
# 插入队列表的记录
insert_queue_record = []
# param字典
param_dict = {}
# inner表内要进行更新的记录
update_innner_status_record = []
for row in res3:
# md5,a_url,a_md5,domain,a_host,a_title
md5 = row['md5']
a_url = row['a_url']
a_md5 = row['a_md5']
domain = row['domain']
a_host = row['a_host']
a_title = row['a_title']
# param数据
param_dict['md5'] = md5
param_dict['a_md5'] = a_md5
param_dict['domain'] = domain
param_dict['a_host'] = a_host
param_dict['a_title'] = a_title
param_json = json.dumps(param_dict,
ensure_ascii=False,
encoding='utf-8')
# 将数据放入列表
insert_queue_record.append((2, a_url, param_json))
update_innner_status_record.append((a_md5, md5))
db_util.executemany(insert_queue_sql, insert_queue_record)
db_util.executemany(update_inner_status_sql,
update_innner_status_record)
end_time = time.time()
run_time = end_time - start_time
logger.info("本地导入 %d 条数据， 用时 %.2f 秒" % (inner_count, run_time))
except Exception, e:
traceback.print_exc(e)
db_util.rollback()
