• Redshift 2.6.18
• Redshift 2.6.10
• Redshift 2.6.19

Version 2.0.0 note:

Redshift 7 Premium is your comprehensive guide to the heavens. A huge panorama of the MilkyWay, photo realistic horizons and a 3 D flight out of our galaxy are only a few ways in which Redshift turns astronomy into a breathtaking and inspiring experience. Name Email Dev Id Roles Organization; Xiangrui Meng: meng: Josh Rosen: JoshRosen: Michael Armbrust: marmbrus. Under ODBC and JDBC Drivers, select the ODBC driver download for your environment (Hive or Impala). Select Windows for the Operating System and 64 bit for the version. Download and install the drivers. Note: Don't use Cloudera Impala ODBC driver v2.5.28. It's not compatible with Tableau. Tableau Prep Help. Jan 31, 2018  a Final composite redshift, incorporating all evidence from SN and host. B All phot-z and spec-z redshifts are principally constrained by the host galaxy, except where a SN spec-z is noted. C Classification probability from the SN light curve, including host redshift priors, using STARDUST. Additional configuration options Configuring the maximum size of string columns. When creating Redshift tables, this library's default behavior is to create TEXT columns for string columns. Redshift stores TEXT columns as VARCHAR(256), so these columns have a maximum size of 256 characters. To support larger columns, you can use the maxlength column metadata field to specify the maximum.

Version 2.0.0 introduces a change which may not be compatible with users current workflows/piplines.Previous to 2.0.0 the default when writing a DataFrame to redshift was to write all data types as VARCHAR.In the current version the redshift data types will be inferred from the DataFrame dtypes.

pandas_redshift

This package is designed to make it easier to get data from redshift into a pandas DataFrame and vice versa.The pandas_redshift package only supports python3.

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Installation

Example

Connect to redshift. If port is not supplied it will be set to amazon default 5439.

As of release 1.1.2 you can exclude the password if you are using a .pgpass file.

Query redshift and return a pandas DataFrame.

Write a pandas DataFrame to redshift. Requires access to an S3 bucket and previously running pr.connect_to_redshift.

If the table currently exists IT WILL BE DROPPED and then the pandas DataFrame will be put in it's place.

If you set append = True the table will be appended to (if it exists).

Other options:

Redshift 2.6.18

As of v1.1.2 you can specify the region (necessary if the S3 bucket is in a different location than Redshift).

Redshift data types: http://docs.aws.amazon.com/redshift/latest/dg/c_Supported_data_types.html

Redshift 2.6.10

Finally close the cursor, commit and close the database connection, and remove variables from the environment.

As this package is largely a layer over psycopg2 a convenience function has been added to execute and commit sql queries that don't have anything to do with your local machine (for example creating a new table).

If you encounter the error:psycopg2.InternalError: current transaction is aborted, commands ignored until end of transaction block

Redshift 2.6.19

you can access the pyscopg2 internals with the following: