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How to restart the namenodes in hadoop?
Stop the NameNode using this command: $HADOOP_HOME/bin/stop.dfs.sh $HADOOP_HOME/bin/hadoop-daemon.sh stop namenode Then you can start the NameNode using this command: $HADOOP_HOME/bin/start.dfs.sh $HADOOP_HOME/bin/hadoop-daemon.sh start namenode Stop all Daemon using the command: $HADOOP_HOME/bin/stRead more
Stop the NameNode using this command:
Then you can start the NameNode using this command:
Stop all Daemon using the command:
Then start all Daemon using the command:
See lessWhat are the advantages of PowerBI?
Following are some advantages: Easy to use Regular updates(every month) Customizable Dashboard More Secured
Following are some advantages:
See lessHow can I retrieve the objects that are archived in S3 Glacier Flexible Retrieval?
Objects stored in S3 Glacier Flexible Retrieval are accessed asynchronously. To retrieve data from S3 Glacier Flexible Retrieval, use the Amazon S3 APIs or the Amazon S3 console to launch a retrieval request. The retrieval request makes a temporary copy of your data in the S3 Standard storage classRead more
Objects stored in S3 Glacier Flexible Retrieval are accessed asynchronously. To retrieve data from S3 Glacier Flexible Retrieval, use the Amazon S3 APIs or the Amazon S3 console to launch a retrieval request. The retrieval request makes a temporary copy of your data in the S3 Standard storage class while keeping the archived data in S3 Glacier Flexible Retrieval intact. You can define how long the temporary copy will be stored in Amazon S3 in days. Then, using an Amazon S3 GET request on the archived object, you may obtain your temporary copy from S3.
See lessIs it a good idea to iterate over a Pandas DataFrame?
No, Iterating over pandas dataframe is not a good practice. We have to iterate only when it is essential. The iteration procedure in DataFrames is quite inefficient. Pandas has a variety of methods that can be used to execute an action without iterating.
No, Iterating over pandas dataframe is not a good practice. We have to iterate only when it is essential. The iteration procedure in DataFrames is quite inefficient. Pandas has a variety of methods that can be used to execute an action without iterating.
See lessHow to convert DataFrame to Numpy array?
You can use the DataFrame.to_numpy() method to convert dataframe to numpy.
You can use the DataFrame.to_numpy() method to convert dataframe to numpy.
See lessValues not changing in Power BI report.
Replacing the values alone doesn't change the existing query. You have to edit the query and then try to add the new values in it. You can edit the queries in Power Query Advanced Editor.
Replacing the values alone doesn’t change the existing query. You have to edit the query and then try to add the new values in it. You can edit the queries in Power Query Advanced Editor.
See lessValue Error: Expected 2D Array, got 1D array instead
In reg.fit() you have mentioneddf[['land']] reg.predict() should have same number of rows and columns as in df. Try implementing the code below: reg.predict([[2200]]) If the above code doesn't work try this: reg.predict(pd.DataFrame([[2200]], columns=['land']))
In reg.fit() you have mentioned
df[['land']]reg.predict() should have same number of rows and columns as in df.
Try implementing the code below:
If the above code doesn’t work try this:
See less