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Rockset SQL REPL for `rock sql`

Project description

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

  • 0.6.33-beta.20200131

    • add support for saved queries
  • 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

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