- 5935 Views
- 2 replies
- 2 kudos
Resolved! Invalid catalog and schema for table name error when creating a Feature Store
I've created a dataset that I want to create a feature store table for. I created a database in my dev unity catalog to store the feature tables, but each time I try to create the table I get this error:ValueError: Invalid catalog 'dev' or schema 'fe...
- 5935 Views
- 2 replies
- 2 kudos
- 2 kudos
Hello,The error message suggests that there might be an issue with the catalog or schema name you are using when trying to create the feature store table. Here are a few tips to help you troubleshoot this problem:Verify the catalog and schema names: ...
- 2 kudos
- 4363 Views
- 3 replies
- 1 kudos
Resolved! Online Feature Store MLflow serving problem
When I try to serve a model stored with FeatureStoreClient().log_model using the feature-store-online-example-cosmosdb tutorial Notebook, I get errors suggesting that the primary key schema is not configured properly. However, if I look in the Featur...
- 4363 Views
- 3 replies
- 1 kudos
- 1 kudos
Hello @Thomas Michielsen​ , this error seems to occur when you may have created the table yourself. You must use publish_table() to create the table in the online store. Do not manually create a database or container inside Cosmos DB. publish_table()...
- 1 kudos
- 13095 Views
- 7 replies
- 8 kudos
What are the practical advantage of Feature Store compared to Delta Lake?
Could someone explain the practical advantages of using a feature store vs. Delta Lake. apparently they both work in the same manner and the feature store does not provide additional value. However, based on the documentation on the databricks page, ...
- 13095 Views
- 7 replies
- 8 kudos
- 8 kudos
Hi @Saeid Hedayati​ Thank you for posting your question in our community! We are happy to assist you.To help us provide you with the most accurate information, could you please take a moment to review the responses and select the one that best answer...
- 8 kudos
- 5173 Views
- 5 replies
- 5 kudos
How to change the feature store delta table default path on DBFS?
Hi everyone,Would it be possible to change the default storage path of deature store, during creation and/or after creation? If you could also provide the python script to that I would appreciate. The current default path is:"dbfs/user/hive/warehouse...
- 5173 Views
- 5 replies
- 5 kudos
- 5 kudos
Hi @Saeid Hedayati​ Hope everything is going great.Just wanted to check in if you were able to resolve your issue. If yes, would you be happy to mark an answer as best so that other members can find the solution more quickly? If not, please tell us s...
- 5 kudos
- 3775 Views
- 2 replies
- 1 kudos
Resolved! Logging model to MLflow using Feature Store API. Getting TypeError: join() argument must be str, bytes, or os.PathLike object, not 'dict'
I'm using databricks. Trying to log a model to MLflow using the Feature Store log_model function. but I have this error: TypeError: join() argument must be str, bytes, or os.PathLike object, not 'dict' I'am using the Databricks runtime ml (10.4 LTS M...
- 3775 Views
- 2 replies
- 1 kudos
- 1 kudos
I updated by Databricks Run Time from 10.4 to 12.1 and this solved the issue.
- 1 kudos
- 1107 Views
- 1 replies
- 1 kudos
- 1107 Views
- 1 replies
- 1 kudos
- 1 kudos
Yes You can. With Databricks Runtime 12.2 LTS ML and above, you can use existing feature tables in Feature Store to augment the original input dataset for all of your AutoML problems: classification, regression, and forecasting.This capability requi...
- 1 kudos
- 2136 Views
- 3 replies
- 3 kudos
Is it possible to access online feature store (Cosmos DB) outside databricks?
We are building an machine learning application with feature store enabled. Once the model is built, we are trying to move the model artifacts and deploy it in azure ml as online endpoint. Does it possible to access the online store in azure ml endpo...
- 2136 Views
- 3 replies
- 3 kudos
- 3 kudos
if you want databricks to use the feature store, which is in Cosmos DB, yes, it is possible https://learn.microsoft.com/en-us/azure/databricks/machine-learning/feature-store/online-feature-storessuppose you want to consume a future store in Databrick...
- 3 kudos
- 2488 Views
- 3 replies
- 2 kudos
Cannot write Feature Table because of invalid access token
From a notebook I created a new feature store via:%sql CREATE DATABASE IF NOT EXISTS feature_store_ebp;Within that feature store I fill my table with:feature_store_name = "feature_store_ebp.table_1" try: fs.write_table( name=feature_stor...
- 2488 Views
- 3 replies
- 2 kudos
- 2 kudos
What kind of runtime machine (version) do you use to run this code?
- 2 kudos
- 12484 Views
- 5 replies
- 6 kudos
Resolved! Security exception while using Feature Store. How can I get this whitelisted?
I was following the Databricks Academy "New Capabilities Overview: Feature Store" module. However when I try to run the code in the example notebook I get a security exception as explained below. When I try to run the example notebook "01-Populate a ...
- 12484 Views
- 5 replies
- 6 kudos
- 6 kudos
Hi @Daniel Barrundia​ - please select "No isolation shared" Access mode, it should resolve this problem.
- 6 kudos
- 1431 Views
- 2 replies
- 3 kudos
Streaming Source for Feature Store (and outputMode)
To save computing resource and time, can I use streaming source in a batch mode (similar to Auto Loader) to update my feature store as my source table receives row update or is appended with new rows?
- 1431 Views
- 2 replies
- 3 kudos
- 3 kudos
yes you can schedule the job to process the data with auto loader
- 3 kudos
- 9592 Views
- 10 replies
- 12 kudos
Resolved! Delete feature tables through the Python API
The documentation explains how to delete feature tables through the UI. Is it possible to do the same using the Python FeatureStoreClient? I cannot find anything in the docs: https://docs.databricks.com/_static/documents/feature-store-python-api-refe...
- 9592 Views
- 10 replies
- 12 kudos
- 12 kudos
from databricks import feature_store fs = feature_store.FeatureStoreClient() fs.drop_table(FEATURE_TABLE_NAME)As of Databricks Runtime 10.5 for ML. Docs
- 12 kudos
- 2119 Views
- 1 replies
- 4 kudos
Databricks MLOps Best Practices
Where to find the best practices on MLOps on DatabricksWe recommend checking out the Big Book of MLOps for detailed guidance on MLOps best practices on Databricks including reference architectures.For a deep dive on the Databricks Feature store, we r...
- 2119 Views
- 1 replies
- 4 kudos
- 4 kudos
you can check here https://docs.databricks.com/machine-learning/mlops/mlops-workflow.html
- 4 kudos
- 4886 Views
- 7 replies
- 15 kudos
What programming frameworks and languages can be used with Databricks Feature Store
To leverage Databricks feature store, can only Python be utilized? If otherwise, what other language frameworks are supported. Below is my question in 2 partsPart 1) What languages can be utilized to write data frames as feature tables in the Feature...
- 4886 Views
- 7 replies
- 15 kudos
- 15 kudos
you can use any of these languages Python, SQL, Scala and R
- 15 kudos
- 2569 Views
- 1 replies
- 2 kudos
Resolved! Unable to create feature table using databricks API .FeatureStoreClient()
I am following example steps from databricks documentation https://docs.databricks.com/_static/notebooks/machine-learning/feature-store-taxi-example.htmlI am using Feature Store client v0.3.6 and above.However on trying to create feature table with f...
- 2569 Views
- 1 replies
- 2 kudos
- 2 kudos
After much digging, observed i was using standard runtime. Once i switched to ML runtime of databricks, issue was resolved. To use Feature Store capability, ensure that you select a Databricks Runtime ML version from the Databricks Runtime Version dr...
- 2 kudos
- 3190 Views
- 2 replies
- 4 kudos
Feature Store - Feature Lookup Engine with join on partial key and Filter
Hello ,I am working with lookupEngine functions. However, we have some feature tables with granularity level most detailled of dataframe input.Please find an example :table A with unique keys on two features : numero_p, numero_s So while performing F...
- 3190 Views
- 2 replies
- 4 kudos
- 4 kudos
Hi @SERET Nathalie​ , I can check internally on the ask here. In the meantime please let us know if this helps: https://docs.databricks.com/machine-learning/feature-store/feature-tables.htmlhttps://docs.databricks.com/machine-learning/feature-store/i...
- 4 kudos
-
Academy
1 -
Access
4 -
Access control
3 -
Access Data
2 -
AccessKeyVault
1 -
Account
4 -
ADB
2 -
Adf
1 -
ADLS
2 -
AI Summit
4 -
Airflow
1 -
Amazon
2 -
Apache
1 -
Apache spark
3 -
API
5 -
APILimit
1 -
Artifacts
1 -
Audit
1 -
Autoloader
6 -
Autologging
2 -
Automation
2 -
Automl
28 -
AWS
7 -
Aws databricks
1 -
Aws s3
2 -
AWSSagemaker
1 -
Azure
32 -
Azure active directory
1 -
Azure blob storage
2 -
Azure data factory
1 -
Azure data lake
1 -
Azure Data Lake Storage
3 -
Azure data lake store
1 -
Azure databricks
32 -
Azure DevOps
2 -
Azure event hub
1 -
Azure key vault
1 -
Azure sql database
1 -
Azure Storage
2 -
Azure synapse
1 -
Azure Unity Catalog
1 -
Azure vm
1 -
AzureML
2 -
Bar
1 -
Best practice
6 -
Best Practices
8 -
Best Way
1 -
Beta
1 -
Better Way
1 -
Bi
1 -
BI Integrations
1 -
BI Tool
1 -
Billing and Cost Management
1 -
Blob
1 -
Blog
1 -
Blog Post
1 -
Broadcast variable
1 -
Bug
2 -
Bug Report
2 -
Business Intelligence
1 -
Catalog
3 -
CatalogDDL
1 -
CatalogPricing
1 -
Centralized Model Registry
1 -
Certification
2 -
Certification Badge
1 -
Change
1 -
Change Logs
1 -
Chatgpt
2 -
Check
2 -
CHUNK
1 -
CICD
3 -
Classification Model
1 -
Cli
1 -
Clone
1 -
Cloud Storage
1 -
Cluster
10 -
Cluster Configuration
2 -
Cluster management
5 -
Cluster policy
1 -
Cluster Start
1 -
Cluster Tags
1 -
Cluster Termination
2 -
Clustering
1 -
ClusterMemory
1 -
Clusters
5 -
ClusterSpecification
1 -
CNN HOF
1 -
Code
3 -
Column names
1 -
Community
4 -
Community Account
1 -
Community Edition
1 -
Community Edition Password
1 -
Community Members
1 -
Company Email
1 -
Concat Ws
1 -
Conda
1 -
Condition
1 -
Config
1 -
Configure
3 -
Confluent Cloud
1 -
Connect
1 -
Container
2 -
ContainerServices
1 -
Control Plane
1 -
ControlPlane
1 -
Copy
1 -
Copy into
2 -
CosmosDB
1 -
Cost
1 -
Courses
2 -
CSV
6 -
Csv files
1 -
DAIS2023
1 -
Dashboards
1 -
Data
8 -
Data Engineer Associate
1 -
Data Engineer Certification
1 -
Data Explorer
1 -
Data Ingestion
2 -
Data Ingestion & connectivity
11 -
Data Quality
1 -
Data Quality Checks
1 -
Data Science
11 -
Data Science & Engineering
2 -
databricks
5 -
Databricks Academy
3 -
Databricks Account
1 -
Databricks AutoML
9 -
Databricks Cluster
3 -
Databricks Community
5 -
Databricks community edition
4 -
Databricks connect
1 -
Databricks dbfs
1 -
Databricks Environment
1 -
Databricks Feature Store
1 -
Databricks JDBC
1 -
Databricks Job
1 -
Databricks jobs
1 -
Databricks Lakehouse
1 -
Databricks Lakehouse Platform Accreditation
1 -
Databricks Mlflow
4 -
Databricks Model
2 -
Databricks notebook
10 -
Databricks ODBC
1 -
Databricks Platform
1 -
Databricks Pyspark
1 -
Databricks Python Notebook
1 -
Databricks Repos
2 -
Databricks Repos Api
1 -
Databricks Runtime
9 -
Databricks SQL
8 -
Databricks SQL Permission Problems
1 -
Databricks Terraform
1 -
Databricks Training
2 -
Databricks Unity Catalog
1 -
Databricks V2
1 -
Databricks version
1 -
Databricks Workflow
2 -
Databricks Workflows
1 -
Databricks workspace
2 -
Databricks-connect
1 -
DatabricksContainer
1 -
DatabricksJobs
2 -
DatabricksML
6 -
Dataframe
3 -
Datalake
1 -
DataLakeGen1
1 -
DataSharing
1 -
Datatype
1 -
DataVersioning
1 -
Date
1 -
Date Column
1 -
Dateadd
1 -
DB Notebook
1 -
DB Runtime
1 -
DBFS
5 -
DBFS Rest Api
1 -
Dbt
1 -
Dbu
1 -
Dbutils
2 -
Dbx
2 -
DDL
1 -
DDP
1 -
Dear Community
1 -
DecisionTree
1 -
DecisionTreeClasifier
1 -
Deep learning
4 -
Default Location
1 -
Delete
1 -
Delt Lake
4 -
Delta
24 -
Delta lake table
1 -
Delta Live
1 -
Delta Live Tables
6 -
Delta log
1 -
Delta Sharing
3 -
Delta table
9 -
Delta-lake
1 -
Deploy
1 -
DESC
1 -
Details
1 -
Dev
1 -
Devops
1 -
Df
1 -
Difference
2 -
Different Notebook
1 -
Different Parameters
1 -
DimensionTables
1 -
Directory
3 -
Disable
1 -
Display
1 -
Distribution
1 -
DLT
6 -
DLT Pipeline
3 -
Docker
1 -
Docker image
3 -
Documentation
4 -
Dolly
5 -
Dolly Demo
2 -
Download
2 -
EC2
1 -
Emr
2 -
Endpoint
2 -
Ensemble Models
1 -
Environment Variable
1 -
Epoch
1 -
Error
18 -
Error Code
2 -
Error handling
1 -
Error log
2 -
Error Message
4 -
ETL
2 -
Eventhub
1 -
Exam
1 -
Example
1 -
Excel
2 -
Exception
3 -
Experiments
4 -
External Sources
1 -
Extract
1 -
Fact Tables
1 -
Failure
2 -
Feature
9 -
Feature Lookup
2 -
Feature Store
51 -
Feature Store API
2 -
Feature Store Table
1 -
Feature Table
6 -
Feature Tables
4 -
Features
2 -
FeatureStore
2 -
File
4 -
File Path
2 -
File Size
1 -
Files
2 -
Fine Tune Spark Jobs
1 -
Forecasting
2 -
Forgot Password
2 -
Garbage Collection
1 -
Garbage Collection Optimization
1 -
GCP
4 -
Gdal
1 -
Git
3 -
Github
2 -
Github actions
2 -
Github Repo
2 -
Gitlab
1 -
GKE
1 -
Global Init Script
1 -
Global init scripts
4 -
Google
1 -
Governance
1 -
Gpu
5 -
Graphviz
1 -
Help
5 -
Hi
1 -
Horovod
1 -
Html
1 -
Hyperopt
4 -
Hyperparameter Tuning
2 -
Iam
1 -
Image
3 -
Image Data
1 -
Import
2 -
Industry Experts
1 -
Inference Setup Error
1 -
INFORMATION
1 -
Init script
3 -
Input
1 -
Insert
1 -
Instance Profile
1 -
Int
2 -
Interactive cluster
1 -
Internal error
1 -
INVALID STATE
1 -
Invalid Type Code
1 -
IP
1 -
Ipython
1 -
Ipywidgets
1 -
Jar
1 -
Java
2 -
JDBC Connections
1 -
Jdbc driver
1 -
Jira
1 -
Job
4 -
Job Cluster
1 -
Job Parameters
1 -
Job Runs
1 -
JOBS
5 -
Jobs & Workflows
6 -
Join
1 -
Jsonfile
1 -
Jupyternotebook
2 -
K-means
1 -
K8s
1 -
Kafka consumer
1 -
Kedro
1 -
Key Management
1 -
Kinesis
1 -
Lakehouse
1 -
Large Datasets
1 -
Latest Version
1 -
Learning
1 -
Libraries
2 -
Library
3 -
LightGMB
1 -
Limit
3 -
Linear regression
1 -
LLM
3 -
LLMs
19 -
Local computer
1 -
Local Machine
1 -
Log Model
2 -
Logging
1 -
Login
1 -
Logistic regression
1 -
LogPyfunc
1 -
LogRuns
1 -
Logs
1 -
Long Time
2 -
Low Latency APIs
2 -
LTS
3 -
LTS ML
3 -
Machine
3 -
Machine Learning
24 -
Machine Learning Associate
1 -
Managed Table
1 -
Maven
1 -
Max Retries
1 -
Maximum Number
1 -
Medallion Architecture
1 -
Memory
3 -
Merge
3 -
Merge Into
1 -
Metadata
1 -
Metrics
3 -
Microsoft
1 -
Microsoft azure
1 -
ML
17 -
ML Lifecycle
4 -
ML Model
4 -
ML Pipeline
2 -
ML Practioner
3 -
ML Runtime
1 -
MLEndPoint
1 -
MlFlow
75 -
MLflow API
5 -
MLflow Artifacts
2 -
MLflow Experiment
6 -
MLflow Experiments
3 -
Mlflow Model
10 -
Mlflow project
4 -
Mlflow registry
3 -
Mlflow Run
1 -
Mlflow Server
5 -
MLFlow Tracking Server
3 -
MLModel
1 -
MLModelRealtime
1 -
MLModels
2 -
Mlops
6 -
Model
32 -
Model Deployment
4 -
Model Lifecycle
6 -
Model Loading
2 -
Model Monitoring
1 -
Model registry
5 -
Model Serving
44 -
Model Serving Cluster
2 -
Model Serving REST API
6 -
Model Size
2 -
Model Training
2 -
Model Tuning
1 -
Model Version
1 -
Models
8 -
Module
3 -
Modulenotfounderror
1 -
MongoDB
1 -
Monitoring and Visibility
1 -
Mount Point
1 -
Mounts
1 -
Multi
1 -
Multiline
1 -
Multiple users
1 -
Nested
1 -
New
2 -
New Cluster
1 -
New Feature
1 -
New Features
1 -
New Workspace
1 -
Nlp
3 -
Note
1 -
Notebook
6 -
Notebook Context
1 -
Notebooks
5 -
Notification
2 -
Object
3 -
Object Type
1 -
Odbc
1 -
Onboarding
1 -
Online Feature Store Table
1 -
OOM Error
1 -
Open source
2 -
Open Source MLflow
4 -
Optimization
2 -
Optimize
1 -
Optimize Command
1 -
OSS
3 -
Overwatch
1 -
Overwrite
2 -
Packages
2 -
Pandas
3 -
Pandas dataframe
1 -
Pandas udf
4 -
Pandas_udf
1 -
Parallel
1 -
Parallel processing
1 -
Parallel Runs
1 -
Parallelism
1 -
Parameter
2 -
PARAMETER VALUE
2 -
Partition
1 -
Partner Academy
1 -
Password
1 -
Path
1 -
Pending State
2 -
Performance
2 -
Performance Tuning
1 -
Permission
1 -
Personal access token
2 -
Photon
2 -
Photon Engine
1 -
Pickle
1 -
Pickle Files
2 -
Pip
2 -
Pipeline Model
1 -
Points
1 -
Possible
1 -
Postgres
1 -
Presentation
1 -
Pricing
2 -
Primary Key
1 -
Primary Key Constraint
1 -
PROBLEM
2 -
Production
2 -
Progress bar
2 -
Proven Practice
4 -
Proven Practices
2 -
Public
2 -
Pycharm IDE
1 -
Pyfunc Model
2 -
Pymc
1 -
Pymc3
1 -
Pymc3 Models
2 -
PyPI
1 -
Pyspark
6 -
Pyspark Dataframe
1 -
Python
21 -
Python API
1 -
Python Code
1 -
Python Error
1 -
Python Function
3 -
Python Libraries
1 -
Python notebook
2 -
Python Packages
1 -
Python Project
1 -
Python script
1 -
Python Task
1 -
Pytorch
3 -
Query
2 -
Question
2 -
R
6 -
R Shiny
1 -
Randomforest
2 -
Rate Limits
1 -
Reading-excel
2 -
Redis
2 -
Region
1 -
Remote RPC Client
1 -
Repos
1 -
Rest
1 -
Rest API
14 -
REST Endpoint
2 -
RESTAPI
1 -
Result
1 -
Rgeos Packages
1 -
Run
3 -
Runtime
2 -
Runtime 10.4 LST ML
1 -
Runtime update
1 -
S3
1 -
S3bucket
2 -
Sagemaker
1 -
Salesforce
1 -
SAP
1 -
Scalability
1 -
Scalable Machine
2 -
Schema
4 -
Schema evolution
1 -
Score Batch Support
1 -
Script
1 -
SDLC
1 -
Search
1 -
Search Runs
1 -
Secret scope
1 -
Secure Cluster Connectiv
1 -
Security
2 -
Security Exception
1 -
Self Service Notebooks
1 -
Server
1 -
Serverless
1 -
Serverless Inference
1 -
Serverless Real
1 -
Service Application
1 -
Service principal
1 -
Serving
1 -
Serving Status Failed
1 -
Set
1 -
Sf Username
1 -
Shap
2 -
Similar Issue
1 -
Similar Support
1 -
Simple Spark ML Model
1 -
Sin Cosine
1 -
Size
1 -
Sklearn
1 -
SKLEARN VERSION
1 -
Slow
1 -
Small Scale Experimentation
1 -
Source Table
1 -
Spark
13 -
Spark config
1 -
Spark connector
1 -
Spark Daatricks
1 -
Spark Error
1 -
Spark Means
1 -
Spark ML's CrossValidator
1 -
Spark MLlib
2 -
Spark MLlib Models
1 -
Spark Model
1 -
Spark Optimization
1 -
Spark Pandas Api
1 -
Spark Pipeline Model
1 -
Spark streaming
1 -
Spark ui
1 -
Spark Version
2 -
Spark-submit
1 -
Sparkml
1 -
SparkML Models
2 -
Sparknlp
3 -
SparkNLP Model
1 -
Sparktrials
1 -
Split Data
1 -
Spot
1 -
SQL
19 -
SQL Editor
1 -
SQL Queries
1 -
Sql query
1 -
SQL Visualisations
1 -
SQL Visualizations
1 -
Stage failure
2 -
Standard
2 -
StanModel
1 -
Storage
3 -
Storage account
1 -
Storage Space
1 -
Store Import Error
1 -
Store MLflow
1 -
Store Secret
1 -
Stream
2 -
Stream Data
1 -
Streaming
1 -
String
3 -
Stringindexer
1 -
Structtype
1 -
Structured streaming
2 -
Study Material
1 -
Substantial Performance Issues
1 -
Successful Runs
1 -
Summit22
3 -
Summit23
2 -
Support
1 -
Support Team
1 -
Synapse
1 -
Synapse ML
1 -
Table
4 -
Table access control
1 -
Tableau
1 -
Tables
3 -
Tabular Models
1 -
Task
1 -
Temporary View
1 -
Tensor flow
1 -
Tensorboard
1 -
Tensorflow Distributor
1 -
TensorFlow Model
2 -
Terraform
1 -
Test
1 -
Test Dataframe
1 -
Text Column
1 -
TF Model
1 -
TF SummaryWriter
1 -
TF SummaryWriter Flush
1 -
Threading Lock
1 -
TID
4 -
Time
1 -
Time-Series
1 -
Timeseries
1 -
Timestamps
1 -
TODAY
1 -
Tracking Server
1 -
Training
6 -
Transaction Log
1 -
Trying
1 -
Tuning
2 -
Type
1 -
Type Changes
1 -
UAT
1 -
UC
1 -
Udf
6 -
Ui
1 -
Unexpected Error
1 -
Unity Catalog
12 -
Unrecognized Arguments
1 -
Urgent Question
1 -
Use
5 -
Use Case
2 -
Use cases
1 -
User and Group Administration
1 -
Using MLflow
1 -
UTC
2 -
Utils.environment
1 -
Uuid
1 -
Val File Path
1 -
Validate ML Model
2 -
Values
1 -
Variable
1 -
Variable Explanations
1 -
Vector
1 -
Version
1 -
Version Information
1 -
Versioncontrol
1 -
Versioning
1 -
View
1 -
Visualization
2 -
WARNING
1 -
Web App Azure Databricks
1 -
Web ui
1 -
Weekly Release Notes
2 -
weeklyreleasenotesrecap
2 -
Whl
1 -
Wildcard
1 -
Worker Nodes
1 -
Workflow
2 -
Workflow Jobs
1 -
Workspace
2 -
Workspace Region
1 -
Write
1 -
Writing
1 -
XGBModel
2 -
Xgboost
2 -
Xgboost Model
2 -
Yesterday Afternoon
1 -
Z-ordering
1 -
Zorder
1
- « Previous
- Next »