Commit Graph

9 Commits

Author SHA1 Message Date
1182d76205 replace the FolderStorage with DiskStorage
- The DiskStorage uses only one file instead of millions.
  Also the block size is only 512 byte instead of 4kb, which
  helps to reduce the memory usage for short sequences.
- Update primitiveCollections to get the new LongList.range
  and LongList.rangeClosed methods.
- BSFile now stores Time&Value sequences and knows how to
  encode the time values with delta encoding.
- Doc had to do some magic tricks to save memory. The path
  was initialized lazy and stored as byte array. This is no
  longer necessary. The patch was replaced by the
  rootBlockNumber of the BSFile.
- Had to temporarily disable the 'in' queries.
- The stored values are now processed as stream of LongLists
  instead of Entry. The overhead for creating Entries is
  gone, so is the memory overhead, because Entry was an
  object and had a reference to the tags, which is
  unnecessary.
2018-09-12 09:35:07 +02:00
bda2de672e improvements
- split the 'sortby' select field into two fields
- sort by average
- legend shows plotted and total values in the date range
- removed InlineDataSeries, because it was not used anymore
2018-05-01 17:32:25 +02:00
5343c0d427 reduce memory usage
Reduce memory usage by storing the filename as string instead of
individual tags.
2018-03-19 19:21:57 +01:00
ahr
5a9aae70af handle corrupt json
Entries must be separated by a newline. This allows
us to handle corrupt json entries, because we know
that entries only start at a line beginning.
2018-03-03 09:58:50 +01:00
ac1ee20046 replace ludb with data-store
LuDB has a few disadvantages. 
  1. Most notably disk space. H2 wastes a lot of valuable disk space.
     For my test data set with 44 million entries it is 14 MB 
     (sometimes a lot more; depends on H2 internal cleanup). With 
     data-store it is 15 KB.
     Overall I could reduce the disk space from 231 MB to 200 MB (13.4 %
     in this example). That is an average of 4.6 bytes per entry.
  2. Speed:
     a) Liquibase is slow. The first time it takes approx. three seconds
     b) Query and insertion. with data-store we can insert entries 
        up to 1.6 times faster.

Data-store uses a few tricks to save disk space:
  1. We encode the tags into the file names.
  2. To keep them short we translate the key/value of the tag into 
     shorter numbers. For example "foo" -> 12 and "bar" to 47. So the
     tag "foo"/"bar" would be 12/47. 
     We then translate this number into a numeral system of base 62
     (a-zA-Z0-9), so it can be used for file names and it is shorter.
     That way we only have to store the mapping of string to int.
  3. We do that in a simple tab separated file.
2017-04-16 09:07:28 +02:00
72436e9c8c extract utility method
a method to send json over tcp can be used by several tests
2017-04-08 08:21:50 +02:00
ed17d84da4 remove obsolete and disabled test 2017-04-08 08:18:17 +02:00
aadc9cbd21 move TcpIngestor to pdb-ui
and start it in the web application.
Also use the spring way of handling property files.
2017-03-19 08:00:18 +01:00
d1e39513f3 create web application 2016-12-21 17:48:36 +01:00