Reading multiple CSV files in Spark and make a DataFrame
I am using following code to read multiple csv files and and converting them to pandas df then concat it as a single pandas df. Finally converting again into spark DataFrame. I want to skip …
Tag: apache-spark-sql
Convert a string to a timestamp object in Pyspark
I am trying to convert a string to a timestamp format in Pyspark. from pyspark.sql.types import DateType df = spark.createDataFrame([(’28/Mar/2021:06:29:54 -0700′,)], [‘dt’]) df.select(date_format(‘…
StructField issue at compilation when specifying table schema
I want to specify a schema for a table I do it in JAVA using the following code : StructType schema = new StructType(List ( StructField(“id”, …
PySpark DataFrame – Filter nested column
I know there are a lot of similar questions out there but I haven’t found any that matches my scenario exactly so please don’t be too trigger-happy with the Duplicate flag. I’m working in a Python 3 …
Is there any method in pyspark to get the name of the university from a url?
host count 0 xsi12.komaba.ecc.u-tokyo.ac.jp 401 1 sunspot.eds.ecip.nagoya-u.ac.jp 387 2 rungw002.ritsumei.ac.jp 343 get the university name from the data frame …
Spark – read JSON array from column
Using Spark 2.11, I’ve the following Dataset (read from Cassandra table): +————+———————————————————-+ |id |attributes …
Max Value in N days before end of week/month/quarter
I have a dataframe df which contains daily data for many ids, sample: | yyyy_mm_dd | id | availability | |————|——|————–| | 2020-01-01 | 1334 | 300 | | 2020-01-02 | 1334 …
pyspark — best way to sum values in column of type Array(StringType()) after splitting
I have a dataframe like this, name | scores Dan | [1_10, 2_5, 3_2, 4_12.5] Ann | [2_12.4, 3_4.5, 5_9.3] Jon | [2_1.7] For each row, I want to extract the number value (split item on underscored …
Driver stacktrace in PySpark
I am trying to do following steps df1 = df.na.drop(subset=[“Column1”, “Column2”, “Column3”, “Column4”, “Column5″,”Column6”]) df1 = df1….
pyspark – can’t get quarter and week of year from date column
I have a pyspark dataframe that looks like this: +——–+———-+———+———-+———–+——————–+ |order_id|product_id|seller_id| date|pieces_sold| bill_raw_text| …