azure-databricks

问题 I read here that storage limit on AWS Databricks is 5TB for individual file and we can store as many files as we want So does the same limit apply to Azure Databricks? or, is there some other limit applied on Azure Databricks? Update: @CHEEKATLAPRADEEP Thanks for the explanation but, can someone please share the reason behind: "we recommend that you store data in mounted object storage rather than in the DBFS root" I need to use DirectQuery (because of huge data size) in Power BI and ADLS

问题 Apparently dbutils cannot be used in cmd-line spark-submits, you must use Jar Jobs for that, but I MUST use spark-submit style jobs due to other requirements, yet still have a need to list and iterate over file keys in dbfs to make some decisions about which files to use as input to a process... Using scala, what lib in spark or hadoop can I use to retrieve a list of dbfs:/filekeys of a particular pattern? import org.apache.hadoop.fs.Path import org.apache.spark.sql.SparkSession def ls

问题 Apparently dbutils cannot be used in cmd-line spark-submits, you must use Jar Jobs for that, but I MUST use spark-submit style jobs due to other requirements, yet still have a need to list and iterate over file keys in dbfs to make some decisions about which files to use as input to a process... Using scala, what lib in spark or hadoop can I use to retrieve a list of dbfs:/filekeys of a particular pattern? import org.apache.hadoop.fs.Path import org.apache.spark.sql.SparkSession def ls

问题 I am in a scenario where my columns name is Município with accent on the letter í . My selectExpr command is failing because of it. Is there a way to fix it? Basically I have something like the following expression: .selectExpr("...CAST (Município as string) as Município...") What I really want is to be able to leave the column with the same name that it came, so in the future, I won't have this kind of problem on different tables/files. How can I make spark dataframe accept accents or other

问题 I can see logs using %sh command on databricks driver node. How can I copy them on my windows machine for analysis? %sh cd eventlogs/4246832951093966440 gunzip eventlog-2019-07-22--14-00.gz ls -l head -1 eventlog-2019-07-22--14-00 Version":"2.4.0","Timestamp":1563801898572,"Rollover Number":0,"SparkContext Id":4246832951093966440} Thanks 回答1: There are different ways to copy driver logs to your local machine. Option1: Cluster Driver Logs: Go to Azure Databricks Workspace => Select the cluster

问题 I can see logs using %sh command on databricks driver node. How can I copy them on my windows machine for analysis? %sh cd eventlogs/4246832951093966440 gunzip eventlog-2019-07-22--14-00.gz ls -l head -1 eventlog-2019-07-22--14-00 Version":"2.4.0","Timestamp":1563801898572,"Rollover Number":0,"SparkContext Id":4246832951093966440} Thanks 回答1: There are different ways to copy driver logs to your local machine. Option1: Cluster Driver Logs: Go to Azure Databricks Workspace => Select the cluster

问题 I can see logs using %sh command on databricks driver node. How can I copy them on my windows machine for analysis? %sh cd eventlogs/4246832951093966440 gunzip eventlog-2019-07-22--14-00.gz ls -l head -1 eventlog-2019-07-22--14-00 Version":"2.4.0","Timestamp":1563801898572,"Rollover Number":0,"SparkContext Id":4246832951093966440} Thanks 回答1: There are different ways to copy driver logs to your local machine. Option1: Cluster Driver Logs: Go to Azure Databricks Workspace => Select the cluster

问题 I am trying to get the last modification time of each file present in azure data lake. files = dbutils.fs.ls('/mnt/blob') for fi in files: print(fi) Output:-FileInfo(path='dbfs:/mnt/blob/rule_sheet_recon.xlsx', name='rule_sheet_recon.xlsx', size=10843) Here i am unable to get the last modification time of the files. Is there any way to get that property. I tries this below shell command to see the properties,but unable to store it in python object. %sh ls -ls /dbfs/mnt/blob/ output:- total 0

问题 Actaully i want to install a library on my Azure databricks cluster but i cannot use the UI method. it is because everytime my cluster would change and in transition i cannot add library to it using UI. Is there any databricks utility command for doing this? 回答1: There are different methods to install packages in Azure Databricks: GUI Method Method1: Using libraries To make third-party or locally-built code available to notebooks and jobs running on your clusters, you can install a library.

问题 Actaully i want to install a library on my Azure databricks cluster but i cannot use the UI method. it is because everytime my cluster would change and in transition i cannot add library to it using UI. Is there any databricks utility command for doing this? 回答1: There are different methods to install packages in Azure Databricks: GUI Method Method1: Using libraries To make third-party or locally-built code available to notebooks and jobs running on your clusters, you can install a library.