databricks

问题 I'm creating a Databricks application and the database schema is getting to be non-trivial. Is there a way I can generate a schema diagram for a Databricks database (something similar to the schema diagrams that can be generated from mysql)? 回答1: There are 2 variants possible: using Spark SQL with show databases , show tables in <database> , describe table ... using spark.catalog.listDatabases , spark.catalog.listTables , spark.catagog.listColumns . 2nd variant isn't very performant when you

问题 I'm creating a Databricks application and the database schema is getting to be non-trivial. Is there a way I can generate a schema diagram for a Databricks database (something similar to the schema diagrams that can be generated from mysql)? 回答1: There are 2 variants possible: using Spark SQL with show databases , show tables in <database> , describe table ... using spark.catalog.listDatabases , spark.catalog.listTables , spark.catagog.listColumns . 2nd variant isn't very performant when you

问题 I am trying to use Stanford NLP library in Spark2 using Zeppelin (HDP 2.6). Apparently there is wrapper built by Databricks for the Stanford NLP library for Spark. Link: https://github.com/databricks/spark-corenlp I have downloaded the jar for the above wrapper from here and also downloaded Stanford NLP jars from here. Then I have added both sets of jars as dependencies in Spark2 interpreter settings of Zeppelin and restarted the interpreter. Still the below sample program gives the error

问题 I am running Pycharm on my MacBook. Client settings: Python Interpreter -> Python 3.7 (dtabricks-connect-6.4) Cluster settings: Databricks Runtime Version -> 6.4 (includes Apache Spark 2.4.5, Scala 2.11) It worked well for months but suddenly, without any updates made, I cant run my python script from Pycharm against databricks cluster anymore. The Error is ... Caused by: `java.lang.IllegalArgumentException: The cluster is running server version `dbr-6.4` but this client only supports Set(dbr

问题 I am doing this in Scala and Spark. I have and Dataset of Tuple2 as Dataset[(String, Map[String, String])] . Below is and example of the values in the Dataset . (A, {1->100, 2->200, 3->100}) (B, {1->400, 4->300, 5->900}) (C, {6->100, 4->200, 5->100}) (B, {1->500, 9->300, 11->900}) (C, {7->100, 8->200, 5->800}) If you notice, the key or first element of the Tuple can be repeated. Also, the corresponding map of the same Tuples' key can have duplicate keys in the map (second part of Tuple2). I

问题 What is the cluster manager used in Databricks? How do I change the number of executors in Databricks clusters ? 回答1: What is the cluster manager used in Databricks? Azure Databricks builds on the capabilities of Spark by providing a zero-management cloud platform that includes: Fully managed Spark clusters An interactive workspace for exploration and visualization A platform for powering your favorite Spark-based applications The Databricks Runtime is built on top of Apache Spark and is

问题 Spark has a Permissive mode for reading CSV files which stores the corroupt records into a separate column named _corroupt_record . permissive - Sets all fields to null when it encounters a corrupted record and places all corrupted records in a string column called _corrupt_record However, when I am trying following example, I don't see any column named _corroupt_record . the reocords which doesn't match with schema appears to be null data.csv data 10.00 11.00 $12.00 $13 gaurang code import

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 How to pass a python variables from %python cmd to shell script %sh,in azure databricks notebook..? 回答1: Per my experience, there are two workaround ways to pass a Python variable to Bash script for your current scenario. Here is my sample codes using Python3 in notebook. To pass little data via environment variable in the same shell session of Azure Databricks Notebook, as below. %python import os l = ['A', 'B', 'C', 'D'] os.environ['LIST'] = ' '.join(l) print(os.getenv('LIST')) %%bash for i

问题 I have Airflow is running in Kubernetes using the CeleryExecutor. Airflow submits and monitors Spark jobs using the DatabricksOperator. My streaming Spark jobs have a very long runtime (they run forever unless they fail or are cancelled). When pods for Airflow worker are killed while a streaming job is running, the following happens: Associated task becomes a zombie (running state, but no process with heartbeat) Task is marked as failed when Airflow reaps zombies Spark streaming job continues