Removing deprecated batches
Source:vignettes/articles/deprecated-batches.Rmd
deprecated-batches.RmdAs work progresses and data are fine-tuned, batches of data may be re-run on the Motus servers, and as a result, be assigned new batch numbers (see the section on Reprocessing Data in the Understanding Motus Data article).
This results is a disconnect between the user’s local data and the data on the server. When the user updates their data, they’ll have the new batches, but will also have the older, deprecated batches.
Users can see which batches have been deprecated in the
deprecated table:
tbl(sql_motus, "deprecated")## # Source: table<`deprecated`> [6 x 3]
## # Database: sqlite 3.45.2 [/home/runner/work/motus/motus/vignettes/articles/data/project-176.motus]
## batchID batchFilter removed
## <int> <int> <int>
## 1 6000 4 0
## 2 6001 4 0
## 3 6002 4 0
## 4 6003 4 0
## 5 6004 4 0
## 6 6005 4 0Each batchID listed represented a deprecated batch. The
column removed indicates whether this batch has been
removed from your data (1) or not (0).
This table is updated every time you update your data with a call to
tagme(). If you want to update it again (without removing
anything), you can use
sql_motus <- deprecateBatches(sql_motus, fetchOnly = TRUE)
## Fetching deprecated batches
## Total deprecated batches: 6
## New deprecated batches: 0To see where these batches are in your data, you can filter for the IDs in a specific table
## # Source: SQL [?? x 62]
## # Database: sqlite 3.45.2 [/home/runner/work/motus/motus/vignettes/articles/data/project-176.motus]
## hitID runID batchID ts tsCorrected sig sigsd noise freq freqsd slop
## <int> <int> <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 23271881 1822216 6000 1487894945. 1487894945. -68.2 10.9 -76.3 2.07 0.127 0.0034
## 2 23271882 1822216 6000 1487894995. 1487894995. -67.9 18.9 -75.7 1.98 0.185 0.0019
## 3 23284651 1828340 6000 1487916706. 1487916706. -68.7 34.9 -76.4 2.00 0.11 0.0045
## 4 23284652 1828340 6000 1487916736. 1487916736. -68.9 15.3 -76.7 1.90 0.0315 0.0047
## 5 23306136 1838711 6000 1487954561. 1487954561. -68.1 8.84 -76.9 1.92 0.0351 0.0047
## 6 23306137 1838711 6000 1487954612. 1487954612. -69.3 14.8 -76.4 1.91 0.0675 0.0013
## 7 23306412 1838841 6000 1487954709. 1487954709. -69.7 22.9 -76.8 1.88 0.0356 0.0047
## 8 23306413 1838841 6000 1487954759. 1487954759. -69.3 17.8 -76.4 1.88 0.0716 0.0022
## 9 23322817 1846692 6000 1488002715. 1488002715. -67.3 15.0 -75.3 1.91 0.116 0.0046
## 10 23322818 1846692 6000 1488002746. 1488002746. -67.9 21.5 -76.0 2.00 0.166 0.0048
## # ℹ more rows
## # ℹ 51 more variables: burstSlop <dbl>, done <int>, motusTagID <int>, ambigID <int>,
## # port <chr>, nodeNum <chr>, runLen <int>, motusFilter <dbl>, bootnum <int>,
## # tagProjID <int>, mfgID <chr>, tagType <chr>, codeSet <chr>, mfg <chr>,
## # tagModel <chr>, tagLifespan <int>, nomFreq <dbl>, tagBI <dbl>, pulseLen <dbl>,
## # tagDeployID <int>, speciesID <int>, markerNumber <chr>, markerType <chr>,
## # tagDeployStart <dbl>, tagDeployEnd <dbl>, tagDepLat <dbl>, tagDepLon <dbl>, …Deprecated batches can also be removed with the
deprecateBatches() function, which, by default, fetches the
update-to-date record of deprecated batches and then removes them.
However, once removed, deprecated batches are gone for good. It is advisable to backup your dataset before proceeding (see below).
Just in case, deprecateBatches() will ask you if you are
sure you want to remove the batches before proceeding.
sql_motus <- deprecateBatches(sql_motus)You are about to permanently delete up to 6 deprecated batches from project-176.motus
Continue?
1: Yes
2: No
Selection: 1## Fetching deprecated batches
## Total deprecated batches: 6
## New deprecated batches: 0
## 232 deprecated rows deleted from runs
## 473 deprecated rows deleted from hits
## 780 deprecated rows deleted from activity
## 232 deprecated rows deleted from batchRuns
## 6 deprecated rows deleted from projBatch
## 6 deprecated rows deleted from batches
## Repacking data base to save space...
## Total deprecated batches removed: 6After removal, you can see that the batches have been removed from the data
## # Source: SQL [0 x 62]
## # Database: sqlite 3.45.2 [/home/runner/work/motus/motus/vignettes/articles/data/project-176.motus]
## # ℹ 62 variables: hitID <int>, runID <int>, batchID <int>, ts <dbl>, tsCorrected <lgl>,
## # sig <dbl>, sigsd <dbl>, noise <dbl>, freq <dbl>, freqsd <dbl>, slop <dbl>,
## # burstSlop <dbl>, done <int>, motusTagID <lgl>, ambigID <int>, port <chr>,
## # nodeNum <chr>, runLen <int>, motusFilter <dbl>, bootnum <int>, tagProjID <int>,
## # mfgID <chr>, tagType <chr>, codeSet <chr>, mfg <chr>, tagModel <chr>,
## # tagLifespan <int>, nomFreq <dbl>, tagBI <dbl>, pulseLen <dbl>, tagDeployID <int>,
## # speciesID <int>, markerNumber <chr>, markerType <chr>, tagDeployStart <dbl>, …Also that the deprecated table now lists
removed as 1.
tbl(sql_motus, "deprecated")## # Source: table<`deprecated`> [6 x 3]
## # Database: sqlite 3.45.2 [/home/runner/work/motus/motus/vignettes/articles/data/project-176.motus]
## batchID batchFilter removed
## <int> <int> <int>
## 1 6000 4 1
## 2 6001 4 1
## 3 6002 4 1
## 4 6003 4 1
## 5 6004 4 1
## 6 6005 4 1Why not remove deprecated batches?
In active projects it is a good idea to remove deprecated batches routinely, to ensure your data is update to date and as accurate as possible.
However, once removed, deprecated batches are gone for good. If you have an analysis or publication based on older data versions, this analysis is no longer repeatable as you no longer have the original batches.
It is therefore advisable to keep a copy of the database (i.e. the
XXXX.motus file) you need for a specific analysis backed up
and static (i.e. no updates and no removal of deprecated batches).
What Next? Explore all articles