Machine Learning Orchestration

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for dbnd-dev from gravatar.com dbnd-dev

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Project description

DBND Snowflake

The plugin

dbnd-snowflake Log preview, schema, size and system resource usage for Snowflake tables.

What does it do?

It uses system Snowflake tables and views to fetch meta data.

Installation

pip install dbnd-snowflake

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for dbnd-dev from gravatar.com dbnd-dev

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Release history Release notifications | RSS feed

1.0.27.2

1.0.26.2

1.0.26.1

1.0.25.2

1.0.24.1

1.0.23.2

1.0.23.1

1.0.23.0

1.0.22.9

1.0.22.8

1.0.22.7

1.0.22.4

1.0.21.5

1.0.21.4

1.0.21.3

1.0.21.2

1.0.21.1

1.0.20.4

1.0.20.3

1.0.20.2

1.0.20.1

1.0.19.1

1.0.18.1

1.0.16.2

1.0.16.1

1.0.15.1

1.0.14.3

1.0.14.1

1.0.13.1 yanked

1.0.12.18

1.0.12.13

1.0.12.12

1.0.12.11

1.0.12.10

1.0.12.9

1.0.12.8

1.0.12.5

1.0.12.3

1.0.12.2

1.0.12.1

1.0.11.1

1.0.9.1

1.0.8.1

1.0.7.4

1.0.7.3

1.0.7.2

1.0.6.15

1.0.6.14

1.0.6.13

1.0.6.12

1.0.6.9

1.0.6.8

1.0.6.6

1.0.6.5

1.0.6.4

1.0.6.3

This version

1.0.6.2

1.0.6.1

1.0.5.8

1.0.5.7

1.0.5.6

1.0.5.5

1.0.5.4

1.0.5.2

1.0.5.1

1.0.4.22

1.0.4.21

1.0.4.19

1.0.4.18

1.0.4.17

1.0.4.16

1.0.4.15

1.0.4.14

1.0.4.13

1.0.4.10

1.0.4.9

1.0.4.8

1.0.4.7

1.0.4.6

1.0.4.4

1.0.4.3

1.0.4.2

1.0.4.1

1.0.3.10

1.0.3.8

1.0.3.7

1.0.3.6

1.0.3.5

1.0.3.4

1.0.3.3

1.0.3.2

1.0.3.1

1.0.2.5

1.0.2.4

1.0.2.2

1.0.2.1

1.0.1.10

1.0.1.8

1.0.1.7

1.0.1.6

1.0.1.5

1.0.1.4

1.0.1.2

1.0.1.1

1.0.0.0

0.90.10

0.90.9

0.90.8

0.90.7

0.90.6

0.90.2

0.90.1

0.89.11

0.89.9

0.89.8

0.89.7

0.89.6

0.89.5

0.89.4

0.89.3

0.89.2

0.88.5

0.88.4

0.88.3

0.88.2

0.88.1

0.87.4

0.87.3

0.87.2

0.87.1

0.86.3

0.85.9

0.85.8

0.85.6

0.85.4

0.85.2

0.84.5

0.84.4

0.84.3

0.84.2

0.84.1

0.83.5

0.83.4

0.83.3

0.83.2

0.83.1

0.82.9

0.82.8

0.82.5

0.82.4

0.82.3

0.82.2

0.82.1

0.81.4

0.81.2

0.81.1

0.80.12

0.80.11

0.80.10

0.80.9

0.80.7

0.80.6

0.80.5

0.80.4

0.80.3

0.80.1

0.79.17

0.79.16

0.79.15

0.79.13

0.79.11

0.79.10

0.79.9

0.79.8

0.79.7

0.79.6

0.79.4

0.79.3

0.79.2

0.79.1

0.78.10

0.78.9

0.78.8

0.78.7

0.78.6

0.78.5

0.78.4

0.78.3

0.78.2

0.78.1

0.76.9

0.76.7

0.76.6

0.76.5

0.76.4

0.76.2

0.76.1

0.75.15

0.75.14

0.75.13

0.75.12

0.75.11

0.75.10

0.75.9

0.75.8

0.75.7

0.75.6

0.75.5

0.75.4

0.75.3

0.75.2

0.74.18

0.74.17

0.74.16

0.74.15

0.74.14

0.74.13

0.74.12

0.74.11

0.74.10

0.74.9

0.74.8

0.74.7

0.74.6

0.74.5

0.74.4

0.74.3

0.74.2

0.74.1

0.73.11

0.73.10

0.73.9

0.73.8

0.73.7

0.73.6

0.73.5

0.73.4

0.73.3

0.73.2

0.73.1

0.71.9

0.71.8

0.71.7

0.71.6

0.71.5

0.71.4

0.71.3

0.71.2

0.71.1

0.70.9

0.70.8

0.70.7

0.70.6

0.70.5

0.70.4

0.70.3

0.70.2

0.70.1

0.69.6

0.69.5

0.69.4

0.69.3

0.69.2

0.69.1

0.68.1

0.67.4

0.67.3

0.67.2

0.67.1

0.66.11

0.66.10

0.66.9

0.66.8

0.66.7

0.66.6

0.66.5

0.66.4

0.66.3

0.66.2

0.66.1

0.65.8

0.65.7

0.65.6

0.65.5

0.65.4

0.65.3

0.65.2

0.65.1

0.64.2

0.64.1

0.63.6

0.63.5

0.63.4

0.63.3

0.63.2

0.63.1

0.62.16

0.62.15

0.62.14

0.62.13

0.62.12

0.62.11

0.62.10

0.62.9

0.62.8

0.62.7

0.62.6

0.62.5

0.62.4

0.62.3

0.62.2

0.62.1

0.61.3

0.61.2

0.61.1

0.60.3

0.60.2

0.60.1

0.59.3

0.58.6

0.58.5

0.58.4

0.58.3

0.58.2

0.58.1

0.57.5

0.57.4

0.57.3

0.57.2

0.57.1

0.56.7

0.56.6

0.56.5

0.56.4

0.56.3

0.56.2

0.56.1

0.55.4

0.55.3

0.55.2

0.55.1

0.54.2

0.54.1

0.53.8

0.53.7

0.53.6

0.53.5

0.53.4

0.53.3

0.52.2

0.52.1

0.52.0

0.51.5

0.51.4

0.51.3

0.51.2

0.51.1

0.51.0

0.50.6

0.50.5

0.50.4

0.50.3

0.50.2

0.50.1

0.49.6

0.49.4

0.49.3

0.49.2

0.49.0

0.48.7

0.48.6

0.48.5

0.48.3

0.48.2

0.48.1

0.48.0

0.47.4

0.47.3

0.47.2

0.47.1

0.47.0

0.46.5

0.46.4

0.46.3

0.46.2

0.46.1

0.46.0

0.45.9

0.45.8

0.45.7

0.45.6

0.45.5

0.45.4

0.45.3

0.45.2

0.45.1

0.45.0

0.44.7

0.44.6

0.44.5

0.44.4

0.44.3

0.44.2

0.44.1

0.44.0

0.43.5

0.43.4

0.43.3

0.43.2

0.43.1

0.42.5

0.42.4

0.42.3

0.42.2

0.42.1

0.41.6

0.41.5

0.41.4

0.41.3

0.41.2

0.41.1

0.41.0

0.40.3

0.40.2

0.40.1

0.40.0

0.39.3

0.39.2

0.39.1

0.39.0

0.38.7

0.38.6

0.38.5

0.38.4

0.38.3

0.38.2

0.38.1

0.38.0

0.37.5

0.37.4

0.37.3

0.37.2

0.37.1

0.37.0

0.36.5

0.36.4

0.36.3

0.36.2

0.36.1

0.36.0

0.35.2

0.35.1

0.34.7

0.34.6

0.34.5

0.34.4

0.34.3

0.34.2

0.34.1

0.34.0

0.33.4

0.33.1

0.33.0

0.32.13

0.32.12

0.32.11

0.32.10

0.32.9

0.32.8

0.32.7

0.32.6

0.32.5

0.32.4

0.32.3

0.32.2

0.32.1

0.32.0

0.31.2

0.31.1

0.31.0

0.30.8

0.30.6

0.30.5

0.30.4

0.30.3

0.30.2

0.30.1

0.30.0

0.29.10

0.29.9

0.29.8

0.29.7

0.29.6

0.29.5

0.29.3

0.29.2

0.29.1

0.29.0

0.28.28

0.28.27

0.28.26

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dbnd-snowflake-1.0.6.2.tar.gz (9.8 kB view details)

Uploaded Source

Built Distribution

dbnd_snowflake-1.0.6.2-py2.py3-none-any.whl (9.4 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file dbnd-snowflake-1.0.6.2.tar.gz.

File metadata

  • Download URL: dbnd-snowflake-1.0.6.2.tar.gz
  • Upload date:
  • Size: 9.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for dbnd-snowflake-1.0.6.2.tar.gz
Algorithm Hash digest
SHA256 4b75094395773152423e401e00b500d9377abc57c81d3c3d1b2c15fc4057bdde
MD5 815c56c300ea650c6760cb2072c02cbe
BLAKE2b-256 0c298caddedf4c671a188896701a15c9472b8013f84e1a6a0b583777fd82253c

See more details on using hashes here.

Provenance

File details

Details for the file dbnd_snowflake-1.0.6.2-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for dbnd_snowflake-1.0.6.2-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 ac03104af02890e956707d7150e1f82bdc628a66baa978c99f323bc221755a8c
MD5 092b47dd19f212e55edc5235bc6283e9
BLAKE2b-256 11034742c136ffc86ad2dd41df22e285cec756441c9d39cbe5eb1aafeaaa60dc

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page