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Maven Central Adds Sigstore Signature Validation
Maven Central now validates Sigstore signatures, making it easier for developers to verify the provenance of Java packages.
Databricks SQL framework, easy to learn, fast to code, ready for production.
$ pip install databricks-sql
from databricks_sql.client import Configuration
CONFIGURATION = Configuration.instance(
access_token="",
command_directory="",
http_path="",
server_hostname="",
)
Databricks SQL usage description:
from databricks_sql.client import Database
with Database() as connection:
(
connection
.delete("catalog.schema.table")
.where("id", "994238a4-8c18-436a-8c06-29ec89c4c056")
.execute()
)
from databricks_sql.client import Database
with Database() as connection:
(
connection
.delete("catalog.schema.table")
.where("description", "%Databricks%", operator="LIKE")
.execute()
)
from databricks_sql.client import Database
with Database() as connection:
(
connection
.execute(
"""
CREATE TABLE IF NOT EXISTS catalog.schema.table (
id STRING NOT NULL,
name STRING NOT NULL,
description STRING,
CONSTRAINT table_primary_key PRIMARY KEY(id)
) USING DELTA
""",
parameters=None,
skip_load=True,
)
)
from databricks_sql.client import Database
with Database() as connection:
(
connection
.insert("catalog.schema.table")
.set("id", "994238a4-8c18-436a-8c06-29ec89c4c056")
.set("name", "Name")
.set("description", "Description")
.execute()
)
from databricks_sql.client import Database
with Database() as connection:
(
connection
.select("catalog.schema.table")
.fields("id", "name", "description")
.where("name", "%Databricks%", operator="LIKE")
.order_by("id")
.paging(0, 10)
)
from databricks_sql.client import Database
with Database() as connection:
(
connection
.select("catalog.schema.table")
.paging(0, 10)
)
from databricks_sql.client import Database
with Database() as connection:
(
connection
.select("catalog.schema.table")
.execute()
.fetch_all()
)
from databricks_sql.client import Database
with Database() as connection:
(
connection
.select("catalog.schema.table")
.execute()
.fetch_many(1)
)
from databricks_sql.client import Database
with Database() as connection:
(
connection
.select("catalog.schema.table")
.execute()
.fetch_one()
)
from databricks_sql.client import Database
with Database() as connection:
(
connection
.execute("command.sql", {"id": "994238a4-8c18-436a-8c06-29ec89c4c056"})
.fetch_one()
)
from databricks_sql.client import Database
with Database() as connection:
(
connection
.execute("SELECT id, name, description FROM catalog.schema.table WHERE id = %(id)s", {"id": "994238a4-8c18-436a-8c06-29ec89c4c056"})
.fetch_one()
)
from databricks_sql.client import Database
with Database() as connection:
(
connection
.update("catalog.schema.table")
.set("name", "New Name")
.set("description", "New Description")
.where("id", "994238a4-8c18-436a-8c06-29ec89c4c056")
.execute()
)
from databricks_sql.client import Database
with Database() as connection:
(
connection
.update("catalog.schema.table")
.set("name", "New Name")
.set("description", "New Description")
.where_all({"id": "994238a4-8c18-436a-8c06-29ec89c4c056", "name": "Name", "description": "Description"})
.execute()
)
select
id,
name,
description
from catalog.schema.table
where 1 = 1
{{#id}}
and id = %(id)s
{{/id}}
{{#name}}
and name like %(name)s
{{/name}}
from databricks_sql.client import Database
with Database() as connection:
(
connection
.execute("command.sql", parameters={"id": "994238a4-8c18-436a-8c06-29ec89c4c056", "name": "Name"})
.fetch_one()
)
This project is licensed under the terms of the Apache License 2.0.
FAQs
Databricks SQL framework, easy to learn, fast to code, ready for production.
We found that databricks-sql demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
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