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timeseriesdb v1.0.0
Substantial improvements and new functionality.
- R Postgres interface switched from RPostgreSQL to the DBI compliant
RPostgres
- time series represented as JSON instead of hstore for better
performance and consistency (ensuring order).
- store version of every time series to track revisions
- true release date feature
- meta data on vintage (time series version) level
timeseriesdb
v0.3.5.3 (Release date: 2017-10-20)
- getting ready for next CRAN release
- bulk wise operations using copy
timeseriesdb v0.21
(Release date: 2015-04-01)
- updated readme
- fixed bug in the shiny based GUI that prevented starting it up
properly
- moved sql code to a single setup file
timeseriesdb v0.2
(Release date: 2015-03-25)
- ~ quarterly release cycle planned
- added convenience function to plot a list of time series
(plot.tslist)
- major speed up of write process by avoiding multiple selects (~2
times)
- major speed up of read process by avoiding multiple selects (~ 3.5
times)
- added a table to store sets of time series similar to shopping carts
in web stores (basic)
- basic export to .csv format to support wide and long format
.csv
- dependency to RJSONIO added as it used for speed up
- added a shiny based data explorer GUI (use function
exploredb(con))
- changed upsert behavior to not affect unlocalized meta information
on insert of new series
- improved NULL handling
- added SQL transaction utils
- quiet execution of Meta Information Storage
- fixed issues with quotes
- added hstore lookup function
- changed from deprecated hstore operator to new hstore function (see
PostgreSQL release notes)
- function to concatenate overlapping series
- function to set attributes to each element of a list
- improved read process for bulk reading to use single query instead
of looping
- improve store process
- exported print method
- added function to check whether db connection is valid
- added quickHandle operator and a closure to create further quick
Handle operators
timeseriesdb v0.1
(Release date: 2014-11-26)
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.