public class SerializerCompressionWrapper implements GroupSerializer
Guide to MapDB Baeldung
WebNov 24, 2024 · mapdb · MapDB provides concurrent Maps, Sets and Queues backed by disk storage or off-heap memory. It is a fast, scalable and easy to use embedded Java database. Nov 24, 2024. 256 usages. 4.4k stars. WebOct 13, 2016 · This isn’t a problem for MapDB or rrd4j since both of these manage that on their own (MapDB because it only saves the most recent value and rrd4j because of its data compression). For other DBs you need to find and use an external tool to delete older values, or periodically completely wipe out the DB entirely and start over. halloween: martin marty center
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HTreeMap has a number of parameters. Most important is name, which identifies Map within DB object and serializerswhich handle data inside Map: It is also possible to skip serializer definition, but MapDB will use slower generic serialization, and this is not recommended: HTreeMap is recommended for handling … See more HashMaphas parameters such as Initial Capacity, Load Factor etc.. MapDB has different set of parameters to control its access time and maximal size. Those are … See more Another parameter is the size counter. By default HTreeMap does not keep track of its size and map.size() performs a linear scan to count all entries. You can … See more HTreeMapoffers optional entry expiration if some conditions are met. Entry can expire if: 1. An entry exists in the map longer time than the expiration period is. The … See more wraps another serializer and (de)compresses its output/input Field Summary Fields inherited from interface org.mapdb. Serializer WebNov 12, 2012 · MapDB can do even better. Lets increase b-tree node size from 32 to 120 entries and enable transparent compression: DB db = DBMaker .newDirectMemoryDB () .transactionDisable () .asyncFlushDelay (100) .compressionEnable () .make (); Map m = db.createTreeMap ("test",120, false, null, null, null); martin maroney