I have a spark standalone configured with 3 nodes. I want to read csv data stored in s3-compatible storage (dell ecs) in this pySpark. Here's the method and con
I am using spark version 3.1.2, and I need to load data from a csv with encoding utf-16le. df = spark.read.format("csv") .option("delimiter", ",") .opti
Having a date, I create a column with ISO 8601 week date format: from pyspark.sql import functions as F df = spark.createDataFrame([('2019-03-
I'm not experienced in Java or Hadoop ecosystem. I configured my Spark cluster to connect to Amazon Keyspaces by using spark-cassandra-connector from Datastax.
I am working on a Pyspark using the flatMap function and I am using the split within the function. But I am getting an error which says: AttributeError: 'NoneTy
I was able to create docker based bitnami stand alone spark instance and run spark jobs on it. However I'm not able not able to write data to snowflake from the
I am querying a Hudi table using Hive which is running on Spark engine in EMR cluster 6.3.1 Hudi version is 0.7 I have inserted a few records and then updated t
I have a DataFrame that consists of Column that is ArrayType, and the array may have a different length in each row of the data. I have provide some example cod
I have a Spark scala DataFrame with two columns, text and subtext, where subtext is guaranteed to occur somewhere within text. How would I calculate the positio
I am running a Synapse Notebook in a For Each activity in a Synapse Pipeline. The notebook loads some data from the datalake into the database and some custom
I'm looking for an inexpensive way to distinguish duplicates and/or uniquely identify rows. I've been looking at the Spark built-ins monotonically_increasing_id
I'm getting the following error when I attempt to write to my data lake with Delta on Databricks fulldf = spark.read.format("csv").option("header", True).option
Below is the sample code snippet that is used for data fetch from HBase. This worked fine with Spark 3.1.2. However after upgrading to Spark 3.2.1, it is not wo
Postgres has a time data type. I am trying to insert rows into postgres from a glue job. Given the code: applymapping1 = ApplyMapping.apply(frame = SelectFromCo
If i read a file in pyspark: Data = spark.read(file.csv) Then for the life of the spark session, the ‘data’ is available in memory,correct? So if i
Below table would be the input dataframe col1 col2 col3 1 12;34;56 Aus;SL;NZ 2 31;54;81 Ind;US;UK 3 null Ban 4 Ned null Expected output dataframe [values of c
I have the following PySpark dataframe and I want to find percentile row-wise. value col_a col_b col_c row_a 5.0 0.0 11.0 row_b 3394.0 0
I am new to Azure Databricks,I am trying to write a dataframe output to a delta table which consists TIMESTAMP column. But strangely it changes the TIMESTAMP pa
I am on windows and I am trying to follow this doc to create spark applications with VSCode using a Synapse workspace. I can sign into Azure and set a default S
I am try to using pysparkling.ml.H2OMOJOModel for predict a spark dataframe using a MOJO model trained with h2o==3.32.0.2 in AWS Glue Jobs, how ever a got the e