pyspark

问题 I read some CSV file into pandas, nicely preprocessed it and set dtypes to desired values of float, int, category. However, when trying to import it into spark I get the following error: Can not merge type <class 'pyspark.sql.types.DoubleType'> and <class 'pyspark.sql.types.StringType'> After trying to trace it for a while I some source for my troubles -> see the CSV file: "myColumns" "" "A" Red into pandas like: small = pd.read_csv(os.path.expanduser('myCsv.csv')) And failing to import it to

问题 I read some CSV file into pandas, nicely preprocessed it and set dtypes to desired values of float, int, category. However, when trying to import it into spark I get the following error: Can not merge type <class 'pyspark.sql.types.DoubleType'> and <class 'pyspark.sql.types.StringType'> After trying to trace it for a while I some source for my troubles -> see the CSV file: "myColumns" "" "A" Red into pandas like: small = pd.read_csv(os.path.expanduser('myCsv.csv')) And failing to import it to

问题 I am writing spark code in python. How do I pass a variable in a spark.sql query? q25 = 500 Q1 = spark.sql("SELECT col1 from table where col2>500 limit $q25 , 1") Currently the above code does not work? How do we pass variables? I have also tried, Q1 = spark.sql("SELECT col1 from table where col2>500 limit q25='{}' , 1".format(q25)) 回答1: You need to remove single quote and q25 in string formatting like this: Q1 = spark.sql("SELECT col1 from table where col2>500 limit {}, 1".format(q25))

问题 I have a dataframe like below: +-------------------+--------+-----------+ |DateTime |UID. |result | +-------------------+--------+-----------+ |2020-02-29 11:42:34|0000111D|30 | |2020-02-30 11:47:34|0000111D|30 | |2020-02-30 11:48:34|0000111D|30 | |2020-02-30 11:49:34|0000111D|30 | |2020-02-30 11:50:34|0000111D|30 | |2020-02-25 11:50:34|0000111D|29 | |2020-02-25 11:50:35|0000111D|29 | |2020-02-26 11:52:35|0000111D|29 | |2020-02-27 11:52:35|0000111D|29 | |2020-02-28 11:52:35|0000111D|29 |

问题 I have a spark dataframe that has 2 columns formed from the function collect_set. I would like to combine these 2 columns of sets into 1 column of set. How should I do so? They are both set of strings For Instance I have 2 columns formed from calling collect_set Fruits | Meat [Apple,Orange,Pear] [Beef, Chicken, Pork] How do I turn it into: Food [Apple,Orange,Pear, Beef, Chicken, Pork] Thank you very much for your help in advance 回答1: Let's say df has +--------------------+--------------------

问题 I have a PySpark dataframe like name city date satya Mumbai 13/10/2016 satya Pune 02/11/2016 satya Mumbai 22/11/2016 satya Pune 29/11/2016 satya Delhi 30/11/2016 panda Delhi 29/11/2016 brata BBSR 28/11/2016 brata Goa 30/10/2016 brata Goa 30/10/2016 I need to find-out most preferred CITY for each name and Logic is " take city as fav_city if city having max no. of city occurrence on aggregate 'name'+'city' pair". And if multiple same occurrence found then consider city with latest Date. WIll

问题 I am new for Apache Spark and I have couple of basic questions in spark which I could not understand while reading the spark material. Every materials have their own style of explanation. I am using PySpark Jupyter notebook on Ubuntu to practice. As per my understanding, When I run the below command, the data in the testfile.csv is partitioned and stored in memory of the respective nodes.( actually I know its a lazy evaluation and it will not process until it sees action command ), but still

问题 This question already has answers here : Spark Scala read csv file using s3a (1 answer) How to access s3a:// files from Apache Spark? (10 answers) S3A: fails while S3: works in Spark EMR (2 answers) Closed last year . I have been looking for a clear answer to this question all morning but couldn't find anything understandable. I just started to use pyspark (installed with pip) a bit ago and have a simple .py file reading data from local storage, doing some processing and writing results

问题 This question already has answers here : Spark Scala read csv file using s3a (1 answer) How to access s3a:// files from Apache Spark? (10 answers) S3A: fails while S3: works in Spark EMR (2 answers) Closed last year . I have been looking for a clear answer to this question all morning but couldn't find anything understandable. I just started to use pyspark (installed with pip) a bit ago and have a simple .py file reading data from local storage, doing some processing and writing results

问题 This question already has answers here : Spark Scala read csv file using s3a (1 answer) How to access s3a:// files from Apache Spark? (10 answers) S3A: fails while S3: works in Spark EMR (2 answers) Closed last year . I have been looking for a clear answer to this question all morning but couldn't find anything understandable. I just started to use pyspark (installed with pip) a bit ago and have a simple .py file reading data from local storage, doing some processing and writing results