def main():
# 日志 Project 所属区域匹配的 Endpoint
endpoint = 'cn-beijing-intranet.log.aliyuncs.com'
# 访问阿里云密钥 AccessKeyId
accessKeyId = '**********'
# 访问阿里云密钥 AccessKeySecret
accessKey = '****************************'
# 日志的 project 项目名称
project = 'java-applications'
# 日志库名称
logstore = 'mop_log'
# 构建一个 client
client = LogClient(endpoint, accessKeyId, accessKey)
# 列出所有的 logstore
req1 = ListLogstoresRequest(project)
res1 = client.list_logstores(req1)
res1.log_print()
topic = "mop"
query = "/ask/article/list or /ask/article/get"
From = int(time.time()) - 600
To = int(time.time())
res3 = None
# 查询最近10分钟内，满足query条件的日志条数，如果执行结果不是完全正确，则进行重试
while (res3 is None) or (not res3.is_completed()):
req3 = GetHistogramsRequest(project, logstore, From, To, topic, query)
res3 = client.get_histograms(req3)
res3.log_print()
print(type(res3.log_print()))
'''
class SLSClient(object):
def __init__(self):
ali_sls_config = getattr(settings, 'ALI_SLS', None)
if ali_sls_config:
self.endpoint = ali_sls_config['endpoint']
self.accessKeyId = ali_sls_config['accessKeyId']
self.accessKey = ali_sls_config['accessKey']
self.project = ali_sls_config['project']
self.logstore = ali_sls_config['logstore']
else:
raise ValueError('ALI_SLS setting is not a exist')
self.client = LogClient(self.endpoint, self.accessKeyId, self.accessKey)
def pull_logs(self, shard_id = 0, start_time=60):
res = self.client.get_cursor(self.project, self.logstore, shard_id, (int)(time.time() - start_time))
res.log_print()
cursor = res.get_cursor()
res = self.client.get_end_cursor(self.project, self.logstore, shard_id)
end_cursor = res.get_cursor()
while cursor != end_cursor:
loggroup_count = 10
res = self.client.pull_logs(self.project, self.logstore, shard_id, cursor, loggroup_count)
res.log_print()
cursor = res.get_next_cursor()
def get_logs(self, start, length, topic='', query='', start_time=600):
fromTime = int(time.time() - start_time)
toTime = int(time.time())
res = None
while (res is None) or (not res.is_completed()):
req = GetHistogramsRequest(self.project, self.logstore, fromTime, toTime, topic, query)
res = self.client.get_histograms(req)
# res.log_print()
total_log_count = res.get_total_count()
# 获取满足query的日志条数
if(start != None and length != None):
get_log_count = min(length, total_log_count)
from_idx = start
to_idx = start + get_log_count
else:
from_idx = 0
to_idx = total_log_count
print 'total_log_count:', total_log_count
print 'from_idx:', from_idx
print 'to_idx:', to_idx
log_line = 10
data = []
# 每次读取10条日志，将日志数据查询完，对于每一次查询，如果查询结果不是完全准确，则重试3次
for offset in range(from_idx, to_idx, log_line) :
res = None
for retry_time in range(0, 3) :
# print self.project, self.logstore, fromTime, toTime, topic, query, log_line, offset
req = GetLogsRequest(self.project, self.logstore, fromTime, toTime, topic, query, log_line, offset, True)
res = self.client.get_logs(req)
if res != None and res.is_completed():
break
time.sleep(1)
if res != None:
data.extend(res.get_logs())
return data, total_log_count
def main():
endpoint = '' # 选择与上面步骤创建Project所属区域匹配的Endpoint
accessKeyId = '' # 使用您的阿里云访问密钥AccessKeyId
accessKey = '' # 使用您的阿里云访问密钥AccessKeySecret
project = '' # 上面步骤创建的项目名称
logstore = '' # 上面步骤创建的日志库名称
# 重要提示：创建的logstore请配置为4个shard以便于后面测试通过
# 构建一个client
client = LogClient(endpoint, accessKeyId, accessKey)
# list 所有的logstore
req1 = ListLogstoresRequest(project)
res1 = client.list_logstores(req1)
res1.log_print()
topic = ""
source = ""
# 发送10个数据包，每个数据包有10条log
for i in range(10):
logitemList = [] # LogItem list
for j in range(10):
contents = [('index', str(i * 10 + j))]
logItem = LogItem()
logItem.set_time(int(time.time()))
logItem.set_contents(contents)
logitemList.append(logItem)
req2 = PutLogsRequest(project, logstore, topic, source, logitemList)
res2 = client.put_logs(req2)
res2.log_print()
# list所有的shard，读取上1分钟写入的数据全部读取出来
listShardRes = client.list_shards(project, logstore)
for shard in listShardRes.get_shards_info():
shard_id = shard["shardID"]
start_time = int(time.time() - 60)
end_time = start_time + 60
res = client.get_cursor(project, logstore, shard_id, start_time)
res.log_print()
start_cursor = res.get_cursor()
res = client.get_cursor(project, logstore, shard_id, end_time)
end_cursor = res.get_cursor()
while True:
loggroup_count = 100 # 每次读取100个包
res = client.pull_logs(project, logstore, shard_id, start_cursor,
loggroup_count, end_cursor)
res.log_print()
next_cursor = res.get_next_cursor()
if next_cursor == start_cursor:
break
start_cursor = next_cursor
# 重要提示： 只有打开索引功能，才可以使用以下接口来查询数据
time.sleep(60)
topic = ""
query = "index"
From = int(time.time()) - 600
To = int(time.time())
res3 = None
# 查询最近10分钟内，满足query条件的日志条数，如果执行结果不是完全正确，则进行重试
while (res3 is None) or (not res3.is_completed()):
req3 = GetHistogramsRequest(project, logstore, From, To, topic, query)
res3 = client.get_histograms(req3)
res3.log_print()
# 获取满足query的日志条数
total_log_count = res3.get_total_count()
log_line = 10
# 每次读取10条日志，将日志数据查询完，对于每一次查询，如果查询结果不是完全准确，则重试3次
for offset in range(0, total_log_count, log_line):
res4 = None
for retry_time in range(0, 3):
req4 = GetLogsRequest(project, logstore, From, To, topic, query,
log_line, offset, False)
res4 = client.get_logs(req4)
if res4 is not None and res4.is_completed():
break
time.sleep(1)
if res4 is not None:
res4.log_print()
listShardRes = client.list_shards(project, logstore)
shard = listShardRes.get_shards_info()[0]
# 分裂shard
if shard["status"] == "readwrite":
shard_id = shard["shardID"]
inclusiveBeginKey = shard["inclusiveBeginKey"]
midKey = inclusiveBeginKey[:-1] + str((int(inclusiveBeginKey[-1:])) +
1)
client.split_shard(project, logstore, shard_id, midKey)
# 合并shard
shard = listShardRes.get_shards_info()[1]
if shard["status"] == "readwrite":
shard_id = shard["shardID"]
client.merge_shard(project, logstore, shard_id)
# 删除shard
shard = listShardRes.get_shards_info()[-1]
if shard["status"] == "readonly":
shard_id = shard["shardID"]
client.delete_shard(project, logstore, shard_id)
# 创建外部数据源
res = client.create_external_store(
project,
ExternalStoreConfig("rds_store", "cn-qingdao", "rds-vpc",
"vpc-************", "i***********", "*.*.*.*",
"3306", "root", "sfdsfldsfksflsdfs", "meta",
"join_meta"))
res.log_print()
res = client.update_external_store(
project,
ExternalStoreConfig("rds_store", "cn-qingdao", "rds-vp", "rds-vpc",
"vpc-************", "i************", "*.*.*.*",
"3306", "root", "sfdsfldsfksflsdfs", "meta",
"join_meta"))
res.log_print()
res = client.get_external_store(project, "rds_store")
res.log_print()
res = client.list_external_store(project, "")
res.log_print()
res = client.delete_external_store(project, "rds_store")
res.log_print()
# 使用python sdk进行查询分析
req4 = GetLogsRequest(project, logstore, From, To, topic,
"* | select count(1)", 10, 0, False)
res4 = client.get_logs(req4)
# 使用python sdk进行join rds查询
req4 = GetLogsRequest(
project, logstore, From, To, topic, "* | select count(1) from " +
logstore + " l join rds_store r on l.ikey =r.ekey", 10, 0, False)
res4 = client.get_logs(req4)
# 使用python sdk把查询结果写入rds
req4 = GetLogsRequest(project, logstore, From, To, topic,
"* | insert into rds_store select count(1) ", 10, 0,
False)
res4 = client.get_logs(req4)
def main():
endpoint = 'cn-hangzhou.sls.aliyuncs.com' # 选择与上面步骤创建Project所属区域匹配的Endpoint
accessKeyId = 'your_access_key_id' # 使用你的阿里云访问密钥AccessKeyId
accessKey = 'your_access_key' # 使用你的阿里云访问密钥AccessKeySecret
project = 'your_project' # 上面步骤创建的项目名称
logstore = 'your_logstore' # 上面步骤创建的日志库名称
# 构建一个client
client = LogClient(endpoint, accessKeyId, accessKey)
# list 所有的logstore
req1 = ListLogstoresRequest(project)
res1 = client.list_logstores(req1)
res1.log_print()
topic = ""
source = ""
# 发送10个数据包，每个数据包有10条log
for i in range(10):
logitemList = [] # LogItem list
for j in range(10):
contents = [('index', str(i * 10 + j))]
logItem = LogItem()
logItem.set_time(int(time.time()))
logItem.set_contents(contents)
logitemList.append(logItem)
req2 = PutLogsRequest(project, logstore, topic, source, logitemList)
res2 = client.put_logs(req2)
res2.log_print()
# list所有的shard，读取上1分钟写入的数据全部读取出来
listShardRes = client.list_shards(project, logstore)
for shard in listShardRes.get_shards_info():
shard_id = shard["shardID"]
start_time = int(time.time() - 60)
end_time = start_time + 60
res = client.get_cursor(project, logstore, shard_id, start_time)
res.log_print()
start_cursor = res.get_cursor()
res = client.get_cursor(project, logstore, shard_id, end_time)
end_cursor = res.get_cursor()
while True:
loggroup_count = 100 # 每次读取100个包
res = client.pull_logs(project, logstore, shard_id, start_cursor,
loggroup_count, end_cursor)
res.log_print()
next_cursor = res.get_next_cursor()
if next_cursor == start_cursor:
break
start_cursor = next_cursor
# 重要提示： 只有打开索引功能，才可以使用以下接口来查询数据
time.sleep(60)
topic = ""
query = "index"
From = int(time.time()) - 600
To = int(time.time())
res3 = None
# 查询最近10分钟内，满足query条件的日志条数，如果执行结果不是完全正确，则进行重试
while (res3 is None) or (not res3.is_completed()):
req3 = GetHistogramsRequest(project, logstore, From, To, topic, query)
res3 = client.get_histograms(req3)
res3.log_print()
# 获取满足query的日志条数
total_log_count = res3.get_total_count()
log_line = 10
# 每次读取10条日志，将日志数据查询完，对于每一次查询，如果查询结果不是完全准确，则重试3次
for offset in range(0, total_log_count, log_line):
res4 = None
for retry_time in range(0, 3):
req4 = GetLogsRequest(project, logstore, From, To, topic, query,
log_line, offset, False)
res4 = client.get_logs(req4)
if res4 is not None and res4.is_completed():
break
time.sleep(1)
if res4 is not None:
res4.log_print()
listShardRes = client.list_shards(project, logstore)
shard = listShardRes.get_shards_info()[0]
# 分裂shard
if shard["status"] == "readwrite":
shard_id = shard["shardID"]
inclusiveBeginKey = shard["inclusiveBeginKey"]
midKey = inclusiveBeginKey[:-1] + str((
(int)(inclusiveBeginKey[-1:])) + 1)
client.split_shard(project, logstore, shard_id, midKey)
# 合并shard
shard = listShardRes.get_shards_info()[1]
if shard["status"] == "readwrite":
shard_id = shard["shardID"]
client.merge_shard(project, logstore, shard_id)
# 删除shard
shard = listShardRes.get_shards_info()[-1]
if shard["status"] == "readonly":
shard_id = shard["shardID"]
client.delete_shard(project, logstore, shard_id)
