我想在Elasticsearch批量上传中将请求时间设置为20秒或更长时间.默认时间设置为10秒,我的警告信息天数设置为10.006秒.并且,在显示警告之后,执行正在抛出错误
现在,我想为每个从用户输入的请求或默认设置的任何值设置请求超时.
错误信息:
WARNING:elasticsearch:HEAD /opportunityci/predictionsci [status:404 request:0.080s]
validated the index and mapping...!
WARNING:elasticsearch:POST http://192.168.204.154:9200/_bulk [status:N/A request:10.003s]
Traceback (most recent call last):
File "/Users/adaggula/anaconda/lib/python2.7/site-packages/elasticsearch/connection/http_urllib3.py", line 94, in perform_request
response = self.pool.urlopen(method, url, body, retries=False, headers=self.headers, **kw)
File "/Users/adaggula/anaconda/lib/python2.7/site-packages/urllib3/connectionpool.py", line 640, in urlopen
_stacktrace=sys.exc_info()[2])
File "/Users/adaggula/anaconda/lib/python2.7/site-packages/urllib3/util/retry.py", line 238, in increment
raise six.reraise(type(error), error, _stacktrace)
File "/Users/adaggula/anaconda/lib/python2.7/site-packages/urllib3/connectionpool.py", line 595, in urlopen
chunked=chunked)
File "/Users/adaggula/anaconda/lib/python2.7/site-packages/urllib3/connectionpool.py", line 395, in _make_request
self._raise_timeout(err=e, url=url, timeout_value=read_timeout)
File "/Users/adaggula/anaconda/lib/python2.7/site-packages/urllib3/connectionpool.py", line 315, in _raise_timeout
raise ReadTimeoutError(self, url, "Read timed out. …Run Code Online (Sandbox Code Playgroud) python request-timed-out elasticsearch elasticsearch-bulk-api
Neo4j Bolt驱动程序中的Session.run()和transaction.run()有什么区别?
我的知识是:
Session.run() will execute a single statement
transaction.run() executes multiple statements.
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这些是我所知道的正确信息.所有其他差异是什么?
我试图将引号括起来的列表转换为列表.他们是这样做的最佳方式.
Ex: list = "[1,2,3,4,5]"
Operation : Convert list which is string to a list
o/p: list = [1,2,3,4,5]
Run Code Online (Sandbox Code Playgroud) 我正在尝试 Spark 2.x 版本中可用的保存和加载选项。我构建了一个 LogisticRegression 模型并成功保存了模型。但是在加载模型时,面临以下问题
代码片段:
from pyspark.ml.classification import LogisticRegressionModel
LogisticRegressionModel.load("lrmodel")
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错误信息:
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
WARNING: An illegal reflective access operation has occurred
WARNING: Illegal reflective access by org.apache.hadoop.security.authentication.util.KerberosUtil (file:/Volumes/Data/Innominds/spark-2.2.0-bin-hadoop2.7/jars/hadoop-auth-2.7.3.jar) to method sun.security.krb5.Config.getInstance()
WARNING: Please consider reporting this to the maintainers of org.apache.hadoop.security.authentication.util.KerberosUtil
WARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations
WARNING: All illegal access operations …Run Code Online (Sandbox Code Playgroud)