- 17126 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...
- 17126 Views
- 6 replies
- 0 kudos
- 0 kudos
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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- 15872 Views
- 1 replies
- 0 kudos
How can I add jars ("spark.jars") to pyspark notebook?
I want to add a few custom jars to the spark conf. Typically they would be submitted along with the spark-submit command but in Databricks notebook, the spark session is already initialized. So, I want to set the jars in "spark.jars" property in the...
- 15872 Views
- 1 replies
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Hi @dbansal, Install the libraries/jars while initialising the cluster.Please go through the documentation on the same below,https://docs.databricks.com/libraries.html#upload-a-jar-python-egg-or-python-wheel
- 0 kudos
- 9826 Views
- 1 replies
- 0 kudos
List all files in a Blob Container
I am trying to find a way to list all files, and related file sizes, in all folders and all sub folders. I guess these are called blobs, in the Databricks world. Anyway, I can easily list all files, and related file sizes, in one single folder, but ...
- 9826 Views
- 1 replies
- 0 kudos
- 0 kudos
from azure.storage.blob import BlockBlobService block_blob_service = BlockBlobService(account_name='your_acct_name', account_key='your_acct_key') mylist = [] generator = block_blob_service.list_blobs('rawdata') for blob in generator: mylist.append(...
- 0 kudos
- 82515 Views
- 11 replies
- 6 kudos
Resolved! How do I get the current cluster id?
I am adding Application Insights telemetry to my Databricks jobs and would like to include the cluster ID of the job run. How can I access the cluster id at run time? The requirement is that my job can programmatically retrieve the cluster id to in...
- 82515 Views
- 11 replies
- 6 kudos
- 6893 Views
- 1 replies
- 0 kudos
Sort within a groupBy with dataframe
Using Spark DataFrame, eg. myDf .filter(col("timestamp").gt(15000)) .groupBy("groupingKey") .agg(collect_list("aDoubleValue")) I want the collect_list to return the result, but ordered according to "timestamp". i.a. I want the GroupBy results...
- 6893 Views
- 1 replies
- 0 kudos
- 0 kudos
Hi @Laurent Thiebaud,Please use the below format to sort within a groupby, import org.apache.spark.sql.functions._ df.groupBy("columnA").agg(sort_array(collect_list("columnB")))
- 0 kudos
- 19142 Views
- 1 replies
- 0 kudos
Resolved! Length Value of a column in pyspark
Hello, i am using pyspark 2.12 After Creating Dataframe can we measure the length value for each row. For Example: I am measuring length of a value in column 2 Input file |TYCO|1303| |EMC |120989| |VOLVO|102329| |BMW|130157| |FORD|004| Output ...
- 19142 Views
- 1 replies
- 0 kudos
- 0 kudos
You can use the length function for this from pyspark.sql.functions import length mock_data = [('TYCO', '1303'),('EMC', '120989'), ('VOLVO', '102329'),('BMW', '130157'),('FORD', '004')] df = spark.createDataFrame(mock_data, ['col1', 'col2']) df2 = d...
- 0 kudos
- 24411 Views
- 4 replies
- 0 kudos
Removing non-ascii and special character in pyspark
i am running spark 2.4.4 with python 2.7 and IDE is pycharm. The Input file (.csv) contain encoded value in some column like given below. File data looks COL1,COL2,COL3,COL4 CM, 503004, (d$όνυ$F|'.h*Λ!ψμ=(.ξ; ,.ʽ|!3-2-704 The output i am trying ...
- 24411 Views
- 4 replies
- 0 kudos
- 0 kudos
Hi @Rohini Mathur, use below code on column containing non-ascii and special characters.df['column_name'].str.encode('ascii', 'ignore').str.decode('ascii')
- 0 kudos
- 9526 Views
- 5 replies
- 0 kudos
How to create a dataframe with the files from S3 bucket
I have connected my S3 bucket from databricks. Using the following command : import urllib import urllib.parse ACCESS_KEY = "Test" SECRET_KEY = "Test" ENCODED_SECRET_KEY = urllib.parse.quote(SECRET_KEY, "") AWS_BUCKET_NAME = "Test" MOUNT_NAME = "...
- 9526 Views
- 5 replies
- 0 kudos
- 0 kudos
Hi @akj2784,Please go through Databricks documentation on working with files in S3,https://docs.databricks.com/spark/latest/data-sources/aws/amazon-s3.html#mount-s3-buckets-with-dbfs
- 0 kudos
- 8397 Views
- 6 replies
- 0 kudos
Convert String to Timestamp
I have a dataset with one column of string type ('2014/12/31 18:00:36'). How can I convert it to timastamp type with PySpark?
- 8397 Views
- 6 replies
- 0 kudos
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hope you dont mind if i ask you to elaborate further for a shaper understanding? see my basketball court layout at https://www.recreationtipsy.com/basketball-court/
- 0 kudos
- 16152 Views
- 1 replies
- 0 kudos
ConnectException error
I'm using PySpark on Databricks and trying to pivot a 27753444 X 3 matrix. If I do it in Spark DataFrame: df = df.groupBy("A").pivot("B").avg("C") it takes forever (after 2 hours and I canceled it). If I convert it to pandas dataframe and then pivo...
- 16152 Views
- 1 replies
- 0 kudos
- 0 kudos
Hi @Raymond_Hu,This means that the driver crashed because of an OOM (Out of memory) exception and after that, it's not able to establish a new connection with the driver. Please try below optionsTry increasing driver-side memory and then retry.You ca...
- 0 kudos
- 14133 Views
- 10 replies
- 1 kudos
Spark Running Really slow - help required
My company urgently needs help, we are having severe performance problems with spark and are having to switch to a different solution if we don't get to the bottom of it. We are on 1.3.1, using spark SQL, ORC Files with partitions and caching in me...
- 14133 Views
- 10 replies
- 1 kudos
- 1 kudos
In my project, following solutions were launched one-by-one to improve performance To store middle-level result, use memory cache instead of HDFS (like: Ignite Cache) Only use spark for complicated data aggregation, to simple result, just do it on d...
- 1 kudos
- 15657 Views
- 15 replies
- 0 kudos
Resolved! Can we pass Databricks output to Azure function body?
Hi, Can anyone help me with Databricks and Azure function. I'm trying to pass databricks json output to azure function body in ADF job, is it possible? If yes, How? If No, what other alternative to do the same?
- 15657 Views
- 15 replies
- 0 kudos
- 0 kudos
You can now pass values back to ADF from a notebook.@@Yogi​ Though there is a size limit, so if you are passing dataset of larger than 2MB then rather write it on storage, and consume it directly with Azure Functions. You can pass the file path/ refe...
- 0 kudos
- 10024 Views
- 3 replies
- 0 kudos
How can I write Pandas dataframe into avro
I am trying to write Pandas core dataframe into avro format as below. But I get the following error: AttributeError: 'DataFrame' object has no attribute 'write' I have tried several options as below: df_2018_pd.write.format("com.databricks.spark.avr...
- 10024 Views
- 3 replies
- 0 kudos
- 0 kudos
Very complicated question. I think you can get your answer on online sites. There are many online providers like managements writing solutions whose experts provide online help for every type of research paper. I got a lot of assistance from them. No...
- 0 kudos
- 6192 Views
- 2 replies
- 0 kudos
How to maintain Primary Key Column in Databricks Delta Multi Cluster environment
I am trying to replicate the SQL DB like feature of maintaining the Primary Keys in Databrciks Delta approach where the data is being written to Blob Storage such as ADLS2 oe AWS S3. I want a Auto Incremented Primary key feature using Databricks Del...
- 6192 Views
- 2 replies
- 0 kudos
- 0 kudos
Hi @Aditya Deshpande​ There is no locking mechanism of PK in Delta. You can use row_number() function on the df and save using delta and do a distinct() before the write.
- 0 kudos
- 8067 Views
- 6 replies
- 0 kudos
Parquet file merging or other optimisation tips
Hi, I need some guide lines for a performance issue with Parquet files : I am loading a set of parquet files using : df = sqlContext.parquetFile( folder_path ) My parquet folder has 6 sub division keys It was initially ok with a first sample of data...
- 8067 Views
- 6 replies
- 0 kudos
- 0 kudos
Having a large # of small files or folders can significantly deteriorate the performance of loading the data. The best way is to keep the folders/files merged so that each file is around 64MB size. There are different ways to achieve this: your writ...
- 0 kudos
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