Hello community,First let me introduce my use case, i daily receive a 500 million rows like so :ID | Categories 1 | cat1, cat2, cat3, ..., catn 2 | cat1, catx, caty, ..., anothercategory Input data: 50 compressed csv files each file is 250 MB ...
So you are basically creating an inverted index ?
scala Spark App: I have a dataset of 130x14000. I read from a parquet file with SparkSession. Then used for Spark ML Random Forest model (using pipeline). It takes 7 hours to complete! for reading the parquet file takes about 1 minute. If I implemen...
I've already answered a similar question on StackOverflow so I'll repeat what a I said there. The following may not solve your problem completely but it should give you some pointer to start. The first problem that you are facing is the disproportio...
I have a pyspark dataframe df containing 4 columns. How can I write this dataframe to s3 bucket? I'm using pycharm to execute the code. and what are the packages required to be installed?
You shouldn't need any packages. You can mount S3 bucket to Databricks cluster. https://docs.databricks.com/spark/latest/data-sources/aws/amazon-s3.html#mount-aws-s3 or this http://www.sparktutorials.net/Reading+and+Writing+S3+Data+with+Apache+Spark...
How can we compare two data frames using pyspark I need to validate my output with another dataset
I think the best bet in such a case is to take inner join (equivalent to intersection) by putting a condition on those columns which necessarily need to have same value in both dataframes. For example, let df1 and df2 are two dataframes. df1 has co...
I have a sql dataframe with a column that has a json string in it (e.g. {"key":"value"}). When I use spark-csv to save the dataframe it changes the field values to be "{""key"":""valule""}". Is there a way to turn that off?
Do quote or escape options only work with "Write" instead of "read"? Our source files contain doube quotes. We'd like to add backsplash (escape) in front each double quote before converting the values from out dataframes to json outputs.
I am facing file not found exception when i am trying to move the file with * in DBFS. Here both source and destination directories are in DBFS. I have the source file named "test_sample.csv" available in dbfs directory and i am using the command li...
@bkr, you can reference the file name using dbutils and then pass this to the move command. Here's an example for this in Scala: val fileNm = dbutils.fs.ls("/usr/krishna/sample").map(_.name).filter(r => r.startsWith("test"))(0) val fileLoc = "dbfs:/...
A cartesian product is a common operation to get the cross product of two tables. For example, say you have a list of customers and a list of your product catalog and want to get the cross product of all customer - product combinations. Cartesian pr...
Hi buddies, it is great written piece entirely defined, continue the good work constantly.
does databricks community edition provides with databricks ML visualization for pyspark, just the same as provided in this link for scala. https://docs.azuredatabricks.net/_static/notebooks/decision-trees.html also please help me to convert this lin...
Yes, CE supports it. It isn't supported in python yet.
I was trying out hbase-spark connector. To start with, I am trying out this code. My pom dependencies are: <dependencies> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-core_2.11</artifactId> <version...
The alpha of hbase-spark you're using depends on Spark 1.6 -- see hbase-spark/pom.xml:L33 -- so you'll probably have to stick with 1.6 if you want to use that published jar. For reasons I don't understand hbase-spark was removed in the last couple o...
I imported a large csv file into databricks as a table. I am able to run sql queries on it in a databricks notebook. In my table, I have a column that contains date information in the mm/dd/yyyy format : 12/29/2015 12/30/2015 etc... Databricks impo...
@josephpconley would it be safe to cast a column that contains null values?
I am using Databricks Notebook Community Edition (2.36) and want to upload a local file into DBFS. Is there any simple Hadoop commands like "hadoop fs -put ..."? Any help would be appreciated.
Python 2.7:import urllib.request urllib.urlretrieve("https://github.com/sushrutt12/DataSets/blob/master/final_chris.zip","/tmp/chris_data.zip") dbutils.fs.mv("file:/tmp/chris_data.zip", "dbfs:/data/chris_data.zip")Python 3.x: import urllib.requesturl...
I see that https://github.com/apache/spark/pull/18581 will enable defining custom Line Separators for many sources, including CSV. Apart from waiting on this PR to make it into the main Databricks runtime, is there any other alternative to support d...
You can use newAPIHadoopFile SCALA import org.apache.hadoop.io.LongWritable import org.apache.hadoop.io.Text import org.apache.hadoop.conf.Configuration import org.apache.hadoop.mapreduce.lib.input.TextInputFormat val conf = new Configuration conf.s...
I've got a table I want to add some data to and it's partitoned. I want to use dynamic partitioning but I get this error org.apache.spark.SparkException: Dynamic partition strict mode requires at least one static partition column. To turn this off ...
I got it working. This was exactly what I needed. Thank you @Peyman Mohajerian​
DF Q Date(yyyy-mm-dd) q1 2017-10-01 q2 2017-10-03 q1 2017-10-09 q3 2017-10-06 q2 2017-10-01 q1 2017-10-13 Q1 2017-10-02 Q3 2017-10-21 Q4 2017-10-17 Q5 2017-10-20 Q4 2017-10-31 Q2 2017-10-27 Q5 2017-10-01 Dataframe: ...
It should just be a matter of applying the correct set of transformations:You can start by adding the week-of-year to each record with the command pyspark.sql.functions.weekofyear(..) and name it something like weekOfYear. See https://spark.apache.or...
Hi! I am facing an issue when reading and parsing a CSV file. Some records have a newline symbol, "escaped" by a \, and that record not being quoted. The file might look like this: Line1field1;Line1field2.1 \ Line1field2.2;Line1field3; Line2FIeld1;...
Solution is "sparkContext.wholeTextFiles"
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