- 7929 Views
- 6 replies
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- 7929 Views
- 6 replies
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Hello, What is most efficient between RDD and DataFrame ? (I mean better to cache, consume less memory) Thanks you,
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- 47278 Views
- 5 replies
- 3 kudos
What's the difference between Interactive Clusters and Job Cluster?
I am new to databricks. I would like to know what is the difference between Interactive Clusters and Job Cluster? There are no official document now.
- 47278 Views
- 5 replies
- 3 kudos
- 3 kudos
Sports news Football news International football news Football news Thai football news, Thai football Follow news, know sports news at Siamsportnews
- 3 kudos
- 26822 Views
- 9 replies
- 1 kudos
How can I change the parquet compression algorithm from gzip to something else?
Spark, by default, uses gzip to store parquet files. I would like to change the compression algorithm from gzip to snappy or lz4.
- 26822 Views
- 9 replies
- 1 kudos
- 10899 Views
- 1 replies
- 0 kudos
convert string dataframe column MM/dd/yyyy hh:mm:ss AM/PM to timestamp MM-dd-yyyy hh:mm:ss
How to convert string 6/3/2019 5:06:00 AM to timestamp in 24 hour format MM-dd-yyyy hh:mm:ss in python spark.
- 10899 Views
- 1 replies
- 0 kudos
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You would use a combination of the functions: pyspark.sql.functions.from_unixtime(timestamp, format='yyyy-MM-dd HH:mm:ss') (documentation) and pyspark.sql.functions.unix_timestamp(timestamp=None, format='yyyy-MM-dd HH:mm:ss') (documentation)from pysp...
- 0 kudos
- 9803 Views
- 1 replies
- 0 kudos
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"...
- 9803 Views
- 1 replies
- 0 kudos
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Hi @Mithu Wagh you can use backticks to enclose the column name.df.select("`col0.1`")
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- 7257 Views
- 2 replies
- 0 kudos
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...
- 7257 Views
- 2 replies
- 0 kudos
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results.select("ValidationTable", "Results","Description","CreatedBy","ModifiedBy","CreatedDate","ModifiedDate").write.mode('overwrite').save("
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- 7576 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 ...
- 7576 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
- 0 kudos
- 5699 Views
- 4 replies
- 0 kudos
- 5699 Views
- 4 replies
- 0 kudos
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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
- 7280 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...
- 7280 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
- 0 kudos
- 15401 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...
- 15401 Views
- 1 replies
- 0 kudos
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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
- 0 kudos
- 40419 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 = [(...
- 40419 Views
- 12 replies
- 0 kudos
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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...
- 0 kudos
- 16869 Views
- 2 replies
- 0 kudos
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...
- 16869 Views
- 2 replies
- 0 kudos
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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>)
- 0 kudos
- 10525 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...
- 10525 Views
- 2 replies
- 0 kudos
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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...
- 0 kudos
- 11334 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 ...
- 11334 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
- 7985 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...
- 7985 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
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