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

This version

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

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-1.0.7.2.tar.gz (9.8 kB view details)

Uploaded Source

Built Distribution

dbnd_snowflake-1.0.7.2-py2.py3-none-any.whl (9.4 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file dbnd-snowflake-1.0.7.2.tar.gz.

File metadata

  • Download URL: dbnd-snowflake-1.0.7.2.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-1.0.7.2.tar.gz
Algorithm Hash digest
SHA256 4180cc744efbf41b3b5d01f64f9e8a1a96fa7e0eba1a98086087cca6c3839138
MD5 b2504a8b6fc5ada2200d34d3b0609b3c
BLAKE2b-256 2f9ec88776098794edab7892fc74df4cdcbc5998add0328017c9f2a03a9909a1

See more details on using hashes here.

Provenance

File details

Details for the file dbnd_snowflake-1.0.7.2-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for dbnd_snowflake-1.0.7.2-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 c7ac770ad6c9909fecef0a04bdb8cd19218788a0156c2c83e4092122c2df99ab
MD5 dde14db84c0f23f3286bb43916b44512
BLAKE2b-256 c575c5f5d53a2a23adac0b4d3911420821a77f322c3f8218de33a237d7377a01

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