- 18001 Views
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Resolved! How to convert column type from decimal to date in sparksql
I need to convert column type from decimal to date in sparksql when the format is not yyyy-mm-dd? A table contains column data declared as decimal (38,0) and data is in yyyymmdd format and I am unable to run sql queries on it in databrick notebook. ...
- 18001 Views
- 10 replies
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- 21202 Views
- 5 replies
- 2 kudos
Resolved! How to display SHAP plots?
I am looking to display SHAP plots, here is the code:import xgboost import shap shap.initjs() # load JS visualization code to notebookX,y = shap.datasets.boston() # train XGBoost model model = xgboost.train({"learning_rate": 0.01}, xgboost.DMatri...
- 21202 Views
- 5 replies
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As @Vinh dqvinh87​ noted, the accepted solution only works for force_plot. For other plots, the following trick works for me:import matplotlib.pyplot as plt p = shap.summary_plot(shap_values, test_df, show=False) display(p)
- 2 kudos
- 16252 Views
- 3 replies
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KNN classifier on Spark
Hi Team , Can you please help me in implementing KNN classifer in pyspark using distributed architecture and processing the dataset. Even I want to validate the KNN model with the testing dataset. I tried to use scikit learn but the program is runn...
- 16252 Views
- 3 replies
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Hey, about about using NEC Frovedis (https://github.com/frovedis/frovedis) framework for the same. Refer: https://github.com/frovedis/frovedis/blob/master/src/foreign_if/python/examples/unsupervised_knn_demo.py It works on a distributed framework (...
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- 25578 Views
- 1 replies
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How can I read all the files in a folder on S3 into several pandas dataframes?
import pandas as pd import glob path = "s3://somewhere/" # use your path all_files = glob.glob(path + "/*.csv") print(all_files) li = [] for filename in all_files: dfi = pd.read_csv(filename,names =['acct_id', 'SOR_ID'], dtype={'acct_id':str,...
- 25578 Views
- 1 replies
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Hi @zhaoxuan210, Please go through the below answer,https://stackoverflow.com/questions/52855221/reading-multiple-csv-files-from-s3-bucket-with-boto3
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- 7190 Views
- 6 replies
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- 7190 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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- 45531 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.
- 45531 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
- 25753 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.
- 25753 Views
- 9 replies
- 1 kudos
- 10537 Views
- 1 replies
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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.
- 10537 Views
- 1 replies
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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...
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- 9239 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"...
- 9239 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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- 7021 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...
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- 2 replies
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results.select("ValidationTable", "Results","Description","CreatedBy","ModifiedBy","CreatedDate","ModifiedDate").write.mode('overwrite').save("
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- 7207 Views
- 3 replies
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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 ...
- 7207 Views
- 3 replies
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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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- 5343 Views
- 4 replies
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- 5343 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
- 7021 Views
- 1 replies
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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...
- 7021 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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- 15204 Views
- 1 replies
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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...
- 15204 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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- 38677 Views
- 12 replies
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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 = [(...
- 38677 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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