rockset-sqlcli 0.6.35b20200302

Rockset SQL REPL for `rock sql`

This package includes an interactive SQL REPL that can be invoked by running rock sql without any arguments:

• Depends on the main rockset module to be already installed.

• rock-sql command line utility to interact, manage and operate Rockset from a shell command line.

• Once installed rock-sql can also be invoked by simply running rock sql.

Rockset documentation is available at: http://docs.rockset.com

Attribution

The rock sql REPL is heavily derived from the https://github.com/dbcli/pgcli project. Our sincere gratitude and admiration to the authors and contributors of that project.

Release Notes

• 0.6.35-beta.20200303

  • add additional support for Query Lambdas and update client models

• 0.6.33-beta.20200131

  • add basic support for Query Lambdas

• 0.6.32-beta.20200116

  • fix query builder to support workspaces correctly

• 0.6.24-beta.20191202

  • map Rockset DATE, TIME, DATETIME, TIMESTAMP and MICROSECOND INTERVAL data types to Python’s corresponding datetime types.

  • add patch_docs() API to collections to update any documents in a collection atomically without having to reingest the entire document.

  • improved SQLAlchemy support

  • improved support for Apache Superset

• 0.6.17-beta.20191026

  • fix bug: do not automatically check for updates in rockset.version()

• 0.6.16-beta.20191013

  • moved rock sql interactive REPL to a new Python package rockset_sqlcli

• 0.6.0-beta.20190617

  • move from cloud-level integrations to service-level integrations: DynamoDB, GCS, Kinesis, Redshift, S3

• 0.5.33-beta.20190530

  • fixed Windows environment issue

• 0.5.30-beta.20190517

  • add support for AWS Redshift

  • rock upload supports uploading multiple files

• 0.5.23-beta.20190225

  • rock ls shows creation time and size of collection

  • Better error handling

  • Add support for Workspaces

• 0.5.15-beta.20190124

  • Update User-Agent value passed in API request header

• 0.5.14-beta.20190121

  • Add support for Google Cloud Storage

• 0.5.13-beta.20190117

  • SQLAlchemy enhancements to support Apache Superset

• 0.5.10-beta.20190114

  • Added support for AWS External ID as a new type of integration.

  • Added support for prefix and pattern as parameters under rs.Source.s3()

  • Deprecated rs.Source.s3(…prefixes=[…]). This is still supported but it’s recommended that you move to using prefix as soon as possible.

  • Fixed bug in rock upload to use current working directory.

• 0.5.9-beta.20190104

  • Add support for Amazon DynamoDB data source

  • Replace rock add with rock upload

• 0.5.6-beta.20181210

  • Support for creating collections from XML data files

• 0.5.0-beta.20181107

  • First beta release

  • Add support for kinesis data source

  • Better error messages when an account reaches resource limit

  • REST API over swagger_client instead of bravado

• 0.4.3-alpha.20181003-3eaa5c7cc7

  • Support for field masks.

  • Support for slow rollout of leaves based on healthz checks

• 0.4.3-alpha.20180916+57afbae46a

  • Support for creating collections from csv data files

• 0.4.2-alpha.20180910+cf9c623a49

  • Support for creating collections using integrations

  • Improved help text for rock create workflows

• 0.4.1-alpha.20180822+e806a29bab

  • Support for event time data and data retention during collection creation.

  • Changes to rock create collection … commandline to improve readability

  • rock drop … is now rock drop collection …

  • rock describe … is now rock describe collection …

• 0.4.0-alpha.20180515+ecbe2a0

  • Moved to new /org/{org} REST API

  • Add SQL support that is accessible from rock sql

  • Field _id defines the unique identified for a document (:id deprecated)

  • Field _meta captures all other system generated fields in documents (:collection etc deprecated)

• 0.3.0-alpha.20180314+410b55e

  • Add py query builder support for <, <=, > and >= operators for string values

• v0.3.0-alpha.20180206+168be7d

  • Add F.collect() support to accumulate entire parent documents as part of a bucket aggregation

• v0.3.0-alpha.20171206+7debcb7

  • Add collect aggregate function to support bucket aggregations

  • Add support for F.count() to do equivalent of count(*)

• v0.3.0-alpha.20171121+d8c7961

  • Sensitive fields can now be masked or anonymized, when collections are created from AWS S3. See rock help create collection for more details.

  • AWS S3 bucket path prefixes can be provided to create a collection from only a subset of data in an AWS S3 bucket.

  • Support Parquet file format for loading data into collections.

• v0.3.0-alpha.20170919+49e62f5

  • Simpler REST API 0.3

  • Add fence API and write APIs returning commit markers

  • Add View creation progress indicator to describe view API

  • More user-friendly error messages and Python exception strings

  • Enforce and document various system-wide limits

• v0.2.2-alpha.20170824+dff8385

  • Support for next version of api_key and got rid of api_secrets

  • Added support for adding multiple documents in single API call

  • Added rockset.source to better support managing S3 sources while creating collections and collection sources while creating views.

  • Better client support for views with multiple analyzer mappings

  • py/client supports async_requests to have multiple concurrent queries pending

  • Support for sampling queries and queries on nested documents

  • Backend: better query optimization support

• v0.2.1-alpha.20170707+88ab952

  • Added support for views

• v0.2.1-alpha.20170629+4492c9a

  • py/client now respects HTTP_PROXY and HTTPS_PROXY ENV variables

• v0.2.1-alpha.20170629+7b050f5

  • Fix bug that made limit queries not composable

• v0.2.1-alpha.20170628+303f256

  • Added cursors with automatic pagination support

  • Added support for limit & skip queries

• v0.2.1-alpha.20170624+e6aee25

  • Added support for lookup operator for JOINs

  • Auth token auto refresh will support long lived Client() objects

• v0.2.1-alpha.20170615+f3df06e

  • Parallel aggregations for faster performance

  • Aggregation support for nested fields

  • Aggregation support over large data sets

  • Rewrote backend service discovery to make it elastic

  • User friendly messages for all py/client exceptions

• v0.1.1-alpha

  • First alpha release