In MySQL, I know I can list the tables in a database with: But I want to insert a table name into a specified table, for example: But when I execute the above statement, the dataset_names table does not get updated. I created the master table using: Here is the python code. Answer Here the order on insert values and
Tag: sql
Java must be installed on this system to use this when using dataflow flex template python
I’m using SQL transform of apache_beam python and deploy to Dataflow by Flex Template. The pipeline show the error: Java must be installed on this system to use. I know the SQL transform of beam python using Java, I researched the way to add Java to pipeline but all failed. Can you give any advice on how to fix this
Error You have an error in your SQL syntax
When I do the following request I get the message : (1064, “You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ‘>= DATEADD(MONTH, -3, GETDATE())’ at line 1”). The request is : This request works when I remove the WHERE line, however when I
Convert SQL Query to MongoDB syntax
I have a big problem with converting SQL queries to Mongo DB for Python. I have a question if you know better methods for transferring SQL queries to Mongo DB queries? I have two queries but I still have big problems with the syntax conversion to Mongo DB. Maybe there is someone here who can help me? Table I have
Pyspark, iteratively get values from column containing json string
I wonder how you would iteratively get the values from a json string in pyspark. I have the following format of my data and would like to create the “value” column: id_1 id_2 json_string value 1 1001 {“1001”:106, “2200”:101} 106 1 2200 {“1001”:106, “2200”:101} 101 Which gives the error Column is not iterable However, just inserting the key manually works,
What is pandas equivalent of the following SQL?
OK, I have a dataframe that looks like the following: In SQL, to filter unique segments (segment_id) by travelmode I will do: What is the pandas equivalent of this expression? Answer Maybe: as suggested in this post.
GBQ – Get around the Exceeded rate limits issue
i have questions about Exceeded rate limits issue in Google Big Query. I need to compare two tables (about 30k rows) and find unique people in first table and find unique people in the other one. I need to insert these “new” people into another tables and get an Exceeded rate limits issue. I use Python to make queries to
Getting SQL Column to print in Python
I have a code that prints out a specific column from an SQL query table. It prints out fine however I would like it to be put into a file and I cannot think of how to do that. Here is what I have: I was thinking of newfile.write( df[[‘PartNumber’]].to_string() ) however that did not work. Thank you for your
How can I optimze Django Code to only one query request
I have a simple django project which displays previous reservations dates based on id’s. However currently there are 2 requests being made. (N+1 sql requests, where N is the reservation’s count) Do you have any idea how i would be able to optimize this code to only 1 query? This is the model.py file This is the view.py file ->
python how to write an update sql query?
I am trying to write an update query but I could not manage the string. My connections is ok. My query is like this: This is giving me error: undefined column name ‘hello’. I want to update message column as hello but it is getting it as a column name. In sql, when I write it as UPDATE users SET