- 9227 Views
- 1 replies
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How to deal with column name with .(dot) in pyspark dataframe??
We are streaming data from kafka source with json but in some column we are getting .(dot) in column names.streaming json data: df1 = df.selectExpr("CAST(value AS STRING)") {"pNum":"A14","from":"telecom","payload":{"TARGET":"1","COUNTRY":"India"...
- 9227 Views
- 1 replies
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Hi @Mithu Wagh you can use backticks to enclose the column name.df.select("`col0.1`")
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- 7020 Views
- 2 replies
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Resolved! Saving to parquet with SaveMode.Overwrite throws exception
Hello, I'm trying to save DataFrame in parquet with SaveMode.Overwrite with no success. I minimized the code and reproduced the issue with the following two cells: > case class MyClass(val fld1: Integer, val fld2: Integer) > > val lst1 = sc.paralle...
- 7020 Views
- 2 replies
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results.select("ValidationTable", "Results","Description","CreatedBy","ModifiedBy","CreatedDate","ModifiedDate").write.mode('overwrite').save("
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- 7200 Views
- 3 replies
- 0 kudos
How to specify multiple files in --py-files in spark-submit command for databricks job? All the files to be specified in --py-files present in dbfs: .
I have created a databricks in azure. I have created a cluster for python 3. I am creating a job using spark-submit parameters. How to specify multiple files in --py-files in spark-submit command for databricks job? All the files to be specified in ...
- 7200 Views
- 3 replies
- 0 kudos
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Hi @Nandha Kumar,please go through the below docs to pass python files as job,https://docs.databricks.com/dev-tools/api/latest/jobs.html#sparkpythontask
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- 5341 Views
- 4 replies
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- 5341 Views
- 4 replies
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@cfregly​ : For DataFrames, you can use the following code for using groupBy without aggregations.Df.groupBy(Df["column_name"]).agg({})
- 0 kudos
- 7019 Views
- 1 replies
- 0 kudos
How to read binary data in pyspark
I'm reading binary file http://snap.stanford.edu/data/amazon/productGraph/image_features/image_features.b using pyspark.from io importStringIO import array img_embedding_file = sc.binaryRecords("s3://bucket/image_features.b",4106)def mapper(featur...
- 7019 Views
- 1 replies
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Hi @tourist_on_road, please go through the below spark docs,https://spark.apache.org/docs/2.3.0/api/python/pyspark.html#pyspark.SparkContext.binaryFiles
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- 15199 Views
- 1 replies
- 0 kudos
Resolved! SQL variables in a notebook
Hi, In an SQL notebook, using this link: https://docs.databricks.com/spark/latest/spark-sql/language-manual/set.html I managed to figure out to set values and how to get the value. SET my_val=10; //saves the value 10 for key my_val SET my_val; //dis...
- 15199 Views
- 1 replies
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Hi @Mike K.., you can do this with widgets and getArgument. Here's a small example of what that might look like: https://community.databricks.com/s/feed/0D53f00001HKHZfCAP
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- 38661 Views
- 12 replies
- 0 kudos
Resolved! Is there a better method to join two dataframes and not have a duplicated column?
I would like to keep only one of the columns used to join the dataframes. Using select() after the join does not seem straight forward because the real data may have many columns or the column names may not be known. A simple example belowllist = [(...
- 38661 Views
- 12 replies
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This is an expected behavior. DataFrame.join method is equivalent to SQL join like thisSELECT*FROM a JOIN b ON joinExprsIf you want to ignore duplicate columns just drop them or select columns of interest afterwards. If you want to disambiguate you c...
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- 16599 Views
- 2 replies
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How to loop over spark dataframe with scala ?
Hello ! I 'm rookie to spark scala, here is my problem : tk's in advance for your help my input dataframe looks like this : index bucket time ap station rssi 0 1 00:00 1 1 -84.0 1 1 00:00 1 3 -67.0 2 1 00:00 1 4 -82.0 3 1 00:00 1 2 -68.0 4 1 00:00...
- 16599 Views
- 2 replies
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Looping is not always necessary, I always use this foreach method, something like the following: aps.collect().foreach(row => <do something>)
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- 10090 Views
- 2 replies
- 0 kudos
Parquet partitionBy - date column to nested folders
Hi, when writing a DataFrame to parquet using partitionBy(<date column>), the resulting folder structure looks like this: root |----------------- day1 |----------------- day2 |----------------- day3 Is it possible to create a structure like to foll...
- 10090 Views
- 2 replies
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Hey @1stcommander​ You'll have to create those columns yourself. If it's something you will have to do often you could always write a function. In any case, imho it's not that much work. Im not sure what your problem is with the partition pruning. It...
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- 10944 Views
- 2 replies
- 1 kudos
When to persist and when to unpersist RDD in Spark
Lets say i have the following:<code>val dataset2 = dataset1.persist(StorageLevel.MEMORY_AND_DISK) val dataset3 = dataset2.map(.....)1) 1)If you do a transformation on the dataset2 then you have to persist it and pass it to dataset3 and unpersist ...
- 10944 Views
- 2 replies
- 1 kudos
- 1 kudos
It is well documented here : http://spark.apache.org/docs/latest/programming-guide.html#rdd-persistence
- 1 kudos
- 7158 Views
- 2 replies
- 1 kudos
Handle comma inside cell of CSV
We are using spark-csv_2.10 > version 1.5.0 and reading the csv file column which contains comma " , " as one of the character. The problem we are facing is like that it treats the rest of line after the comma as new column and data is not interpre...
- 7158 Views
- 2 replies
- 1 kudos
- 1 kudos
Take a look here for options, http://spark.apache.org/docs/latest/api/python/pyspark.sql.html?highlight=dataframereader#pyspark.sql.DataFrameReader.csv If a csv file has commas then the tradition is to quote the string that contains the comma, In ...
- 1 kudos
- 9180 Views
- 2 replies
- 0 kudos
How to pass column names in selectExpr through one or more string parameters in spark using scala?
I am using script for CDC Merge in spark streaming. I wish to pass column values in selectExpr through a parameter as column names for each table would change. When I pass the columns and struct field through a string variable, I am getting error as...
- 9180 Views
- 2 replies
- 0 kudos
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Hi @Swapan Swapandeep Marwaha, Can you pass them as a Seq as in below code, keyCols = Seq("col1", "col2"), structCols = Seq("struct(offset,KAFKA_TS) as otherCols")
- 0 kudos
- 6031 Views
- 1 replies
- 0 kudos
Making HTTP post requests on Spark using foreachPartition
Need some help to understand the behaviour of the below in Spark (using Scala and Databricks) I have some dataframe (reading from S3 if that matters), and would send that data by making HTTP post requests in batches of 1000 (at most). So I reparti...
- 6031 Views
- 1 replies
- 0 kudos
- 0 kudos
Need some help to understand the behaviour of the below in Spark (using Scala and Databricks) I have some dataframe (reading from S3 if that matters), and would send that data by making HTTP post requests in batches of 1000 (at most). So I repa...
- 0 kudos
- 21229 Views
- 2 replies
- 0 kudos
Python spark.read.text Path does not exist
Dear all, I want to read files with python from a storage account. I followed this instruction https://docs.microsoft.com/en-us/azure/azure-databricks/store-secrets-azure-key-vault. This is my python code: dbutils.fs.mount(source = "wasbs://contain...
- 21229 Views
- 2 replies
- 0 kudos
- 0 kudos
@rba76​ Make sure helloworld.txt file exists in the container1 folderI'm able to view the text file using the same commands as follows:Mount Blob Storage:dbutils.fs.mount( source = "wasbs://sampledata@azure.blob.core.windows.net/Azure", mount_po...
- 0 kudos
- 17153 Views
- 6 replies
- 0 kudos
Cannot Convert Column to Bool Error - When Converting dataframe column which is in string to date type in python
Hi All, I am trying to convert a dataframe column which is in the format of string to date type format yyyy-MM-DD? I have written a sql query and stored it in dataframe. df3 = sqlContext.sql(sqlString2) df3.withColumn(df3['CalDay'],pd.to_datetime(df...
- 17153 Views
- 6 replies
- 0 kudos
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Registered to post this so forgive the formatting nightmare This is a python databricks script function that allows you to convert from string to datetime or date and utilising coalescefrom pyspark.sql.functions import coalesce, to_date def to_dat...
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