Trying to write a sql query: below is normal output I need row wise percentage output for tidcounts: The query I’m trying is below expected output is: Please suggest if i am missing anything it should be in either spark-sql or pyspark Answer Solution with spark.sql Solution with pyspark Example Result
Tag: pyspark
Translating pyspark into sql
I’m experiencing an issue with the following function. I’m trying to translate this to a SQL statement so I can have a better idea of exactly what’s happening, so I can more effectively work on my actual issue. I know that this contains a join between valid_data to ri_data, a filter, and a s…
Splitting each Multi-Category columns to Multiple columns with counts
date Value1 Value2 Value3 16-08-2022 a b e 16-08-2022 a b f 16-08-2022 c d f output date Value1_a Value1_c Value2_b Value2_d Value3_e Value3_f 16-08-2022 2 1 2 1 1 2 continues like this for more columns maybe 10, I will aggregate on date and split the categorical columns with counts for each category , curren…
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&#…
Spark SQL column doesn’t exist
I am using Spark in databricks for this SQL command. In the input_data table, I have a string for the st column. Here I want to do some calculations of the string length. However, after I assign the length_s alias to the first column, I can not call it in the following columns. SQL engine gives out Column …
How can I write an SQL query as a template in PySpark?
I want to write a function that takes a column, a dataframe containing that column and a query template as arguments that outputs the result of the query when run on the column. Something like: func_sql(df_tbl,’age’,’select count(distinct {col}) from df_tbl’) Here, {col} should get rep…
mismatched input error when trying to use Spark subquery
New at PySpark, trying to get a query to run and it seems like it SHOULD run but I get an EOF issue and I’m not sure how to resolve it.. What I’m trying to do is find all rows in blah.table where the value in col “domainname” matches a value from a list of domains. Then I want to
filter stop words from text column – spark SQL
I’m using spark SQL and have a data frame with user IDs & reviews of products. I need to filter stop words from the reviews, and I have a text file with stop words to filter. I managed to split the reviews to lists of strings, but don’t know how to filter. this is what I tried to do: thanks!
PySpark: Adding elements from python list into spark.sql() statement
have list in python that is used throughout my code: I also have have a simple spark.sql() line that I need to execute: I want to replace the list of elements in the spark.sql() statment with the python list so that that last line in the SQL is I am aware of using {} and str.format but I am struggling
using a sql request in spark sql error in execution
I try to execute this query in pyspark i get all the time error. I have looked everywhere but I don’t know or it doesn’t work if someone can help me. the goal of this request is to update a new column that I will later create called temp_ok : this my code: My table contains this columns: _temp_ok_…