Spark, by default, uses gzip to store parquet files. I would like to change the compression algorithm from gzip to snappy or lz4.
spark.sql("set spark.sql.parquet.compression.codec=gzip");
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.
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...
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"...
Hi @Mithu Wagh you can use backticks to enclose the column name.df.select("`col0.1`")
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...
results.select("ValidationTable", "Results","Description","CreatedBy","ModifiedBy","CreatedDate","ModifiedDate").write.mode('overwrite').save("
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 ...
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
@cfregly​ : For DataFrames, you can use the following code for using groupBy without aggregations.Df.groupBy(Df["column_name"]).agg({})
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...
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
We are using the databricks 3 node cluster with 32 GB memory. It is working fine but some times it automatically throwing the error: Remote RPC client disassociated. Likely due to containers exceeding thresholds, or network issues.
If your job fails follow this:According to https://docs.databricks.com/jobs.html#jar-job-tips: "Job output, such as log output emitted to stdout, is subject to a 20MB size limit. If the total output has a larger size, the run will be canceled and ma...
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...
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
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 = [(...
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...
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...
Looping is not always necessary, I always use this foreach method, something like the following: aps.collect().foreach(row => <do something>)
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...
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...
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 ...
It is well documented here : http://spark.apache.org/docs/latest/programming-guide.html#rdd-persistence
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...
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 ...
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...
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")
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