PythonUtils | some utils for python | Dataset library
kandi X-RAY | PythonUtils Summary
kandi X-RAY | PythonUtils Summary
some utils for python 一些Python的工具包.
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Top functions reviewed by kandi - BETA
- Decorator to create a coroutine
- Add a coroutine
- Remove a cid from the pool
- Get response
- Generate an image
- Generate a slide image
- Merge two images
- Blurize an image
- Unescape a value
- Return a UTF - 8 encoded string
- Convert an entity identifier
- Build the unicode map
- Escape a value
- Convert a string to a basestring
- Add slashes
- URL escape code
- Schedules source configuration
- Return the SQLite representation of the given engine
- Convert to postgresql
- Generate the SQL statement for a column
- Generate the SQL statement to create a SQLite statement
PythonUtils Key Features
PythonUtils Examples and Code Snippets
Community Discussions
Trending Discussions on PythonUtils
QUESTION
I have a SQLite database I want to import into Spark on DataBricks.
When I run the command below, I get the error below that command.
...ANSWER
Answered 2022-Mar-16 at 10:17For the SQLite tables' definition, use TEXT (instead of the unsupported STRING) -
and you're good :-)
QUESTION
I have been tasked lately, to ingest JSON responses onto Databricks Delta-lake. I have to hit the REST API endpoint URL 6500 times with different parameters and pull the responses.
I have tried two modules, ThreadPool and Pool from the multiprocessing library, to make each execution a little quicker.
ThreadPool:
- How to choose the number of threads for ThreadPool, when the Azure Databricks cluster is set to autoscale from 2 to 13 worker nodes?
Right now, I've set n_pool = multiprocessing.cpu_count(), will it make any difference, if the cluster auto-scales?
Pool
- When I use Pool to use processors instead of threads. I see the following errors randomly on each execution. Well, I understand from the error that Spark Session/Conf is missing and I need to set it from each process. But I am on Databricks with default spark session enabled, then why do I see these errors.
ANSWER
Answered 2022-Feb-28 at 08:56You can try following way to resolve
QUESTION
I have followed this post pyspark error reading bigquery: java.lang.ClassNotFoundException: org.apache.spark.internal.Logging$class
and followed the resolution provided but still getting the same error. Please help.
I am trying to run this using Jupyter lab created using data proc cluster in GCP.
I am using Python 3 kernel (not PySpark) to allow you to configure the SparkSession in the notebook and include the spark-bigquery-connector required to use the BigQuery Storage API.
...ANSWER
Answered 2021-Dec-16 at 17:59Please switch to gs://spark-lib/bigquery/spark-bigquery-latest_2.11.jar. The number after the _ is the Scala binary version.
QUESTION
I want to add a new column to a pyspark dataframe that contains a constant DenseVector.
Following is my attempt but it fails:
...ANSWER
Answered 2021-Dec-20 at 04:21You can try
QUESTION
Problem Statement: On upgrading Databricks runtime version, duplicate column(s) throw error while creating dataframe. In lower runtime, the dataframe was created and since the duplicate column was not required downstream, it was simply excluded in select.
File Location: Json files stored on ADLS Gen2 (Azure). Cluster Mode: Standard
Code: We read it in Azure Databricks as below.
...ANSWER
Answered 2021-Nov-16 at 22:26There is currently no option for this in the spark documentation. There also seem to be differing opinions/standards on the validity of jsons with duplicate key values and how to treat them (SO discussion).
Supplying the schema without the duplicate key field results in a successful load. It takes the value of the last key in the json.
The schema depends on your source file.
test.jsonQUESTION
I've seen a few questions on Databricks to Snowflake but my question is how to get a table from Snowflake into Databricks.
What I've done so far: Created a cluster and attached the cluster to my notebook (I'm using Python)
...ANSWER
Answered 2021-Oct-07 at 20:29Answering for completeness and for future users who might have a similar problem.
As answered in the comments: Snowflake uses a role-based access control system, so it is vitally important that the role being used has the necessary privileges. In this case, there is no USE ROLE shown in the code so whatever role was active when the query was run did not have sufficient privileges.
QUESTION
I am trying to read a file located in Azure Datalake Gen2 from my local spark (version spark-3.0.1-bin-hadoop3.2) using pyspark script.
Script is the following
ANSWER
Answered 2021-Aug-18 at 07:23I found the solution. file route must be
QUESTION
I'm new to databricks so hope my question is not too off. I'm trying to run the following sql pushdown query in databricks notebook to get data from an on-premise sql server using following python code:
...ANSWER
Answered 2021-Feb-05 at 11:54You are getting the error because you are doing the join on the same table and using '*' in the select statement. If you specify the columns explicitly based on the aliases you specify for each queries then you won't see the error that you are getting.
In your case the column Interval_Time seems to be getting duplicated as you are selecting that in the both the queries used in the joins. So specify the columns explicitly and it should work.
QUESTION
I'm trying to connect BigQuery Dataset to Databrick and run Script using Pyspark.
Procedures I've done:
I patched the BigQuery Json API to databrick in dbfs for connection access.
Then I added spark-bigquery-latest.jar in the cluster library and I ran my Script.
When I run this script, I didn't face any error.
...ANSWER
Answered 2020-Dec-15 at 08:56Can you avoid using queries and just use the table option?
QUESTION
I can't read in a csv file from S3 to a pyspark dataframe on EC2 instance on AWS cloud. I have created a spark cluster on AWS using Flintrock. Here is my Flintrock configuration file (on a local machine):
...ANSWER
Answered 2020-Aug-21 at 09:51Probably something with the way I supplied my credentials via hadoopConfiguration().set() in the python code was wrong. But there is another way of configuring flintrock (and more generally EC2 instances) to be able to access S3 without supplying credentials in the code (this is actually a recomded way of doing this when dealing with temporary credentials from AWS). The following helped:
- The flintrock docu, which says "Setup an IAM Role that grants access to S3 as desired. Reference this role when you launch your cluster using the --ec2-instance-profile-name option (or its equivalent in your config.yaml file)."
- This AWS documentation page that explains step-by-step how to do it.
- Another useful AWS docu page.
- Please note: If you create the above role via AWS Console then the respective instance profile with the same name is created automatically, otherwise (if you use awscli or AWS API) you have to create the desired instance profile manually as an extra step.
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Install PythonUtils
You can use PythonUtils like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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