Package org.apache.cassandra.dht

Examples of org.apache.cassandra.dht.LongToken

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        int rowOverhead;
        MemtableAllocator allocator = MEMORY_POOL.newAllocator();
        ConcurrentNavigableMap<RowPosition, Object> rows = new ConcurrentSkipListMap<>();
        final Object val = new Object();
        for (int i = 0 ; i < count ; i++)
            rows.put(allocator.clone(new BufferDecoratedKey(new LongToken((long) i), ByteBufferUtil.EMPTY_BYTE_BUFFER), group), val);
        double avgSize = ObjectSizes.measureDeep(rows) / (double) count;
        rowOverhead = (int) ((avgSize - Math.floor(avgSize)) < 0.05 ? Math.floor(avgSize) : Math.ceil(avgSize));
        rowOverhead -= ObjectSizes.measureDeep(new LongToken((long) 0));
        rowOverhead += AtomicBTreeColumns.EMPTY_SIZE;
        allocator.setDiscarding();
        allocator.setDiscarded();
        return rowOverhead;
    }
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        StorageService.instance.setPartitionerUnsafe(new Murmur3Partitioner());

        TokenMetadata metadata = StorageService.instance.getTokenMetadata();
        metadata.clearUnsafe();

        metadata.updateNormalToken(new LongToken(1000L), InetAddress.getByName("127.0.0.1"));
        metadata.updateNormalToken(new LongToken(2000L), InetAddress.getByName("127.0.0.2"));
        metadata.updateNormalToken(new LongToken(3000L), InetAddress.getByName("127.0.0.3"));
        metadata.updateNormalToken(new LongToken(4000L), InetAddress.getByName("127.0.0.4"));

        Map<String, String> configOptions = new HashMap<String, String>();
        configOptions.put("replication_factor", "3");
        Collection<Range<Token>> repairRangeFrom = StorageService.instance.createRepairRangeFrom("1500", "3700");
        assert repairRangeFrom.size() == 3;
        assert repairRangeFrom.contains(new Range<Token>(new LongToken(1500L), new LongToken(2000L)));
        assert repairRangeFrom.contains(new Range<Token>(new LongToken(2000L), new LongToken(3000L)));
        assert repairRangeFrom.contains(new Range<Token>(new LongToken(3000L), new LongToken(3700L)));

        repairRangeFrom = StorageService.instance.createRepairRangeFrom("500", "700");
        assert repairRangeFrom.size() == 1;
        assert repairRangeFrom.contains(new Range<Token>(new LongToken(500L), new LongToken(700L)));

        repairRangeFrom = StorageService.instance.createRepairRangeFrom("500", "1700");
        assert repairRangeFrom.size() == 2;
        assert repairRangeFrom.contains(new Range<Token>(new LongToken(500L), new LongToken(1000L)));
        assert repairRangeFrom.contains(new Range<Token>(new LongToken(1000L), new LongToken(1700L)));

        repairRangeFrom = StorageService.instance.createRepairRangeFrom("2500", "2300");
        assert repairRangeFrom.size() == 5;
        assert repairRangeFrom.contains(new Range<Token>(new LongToken(2500L), new LongToken(3000L)));
        assert repairRangeFrom.contains(new Range<Token>(new LongToken(3000L), new LongToken(4000L)));
        assert repairRangeFrom.contains(new Range<Token>(new LongToken(4000L), new LongToken(1000L)));
        assert repairRangeFrom.contains(new Range<Token>(new LongToken(1000L), new LongToken(2000L)));
        assert repairRangeFrom.contains(new Range<Token>(new LongToken(2000L), new LongToken(2300L)));

        repairRangeFrom = StorageService.instance.createRepairRangeFrom("2000", "3000");
        assert repairRangeFrom.size() == 1;
        assert repairRangeFrom.contains(new Range<Token>(new LongToken(2000L), new LongToken(3000L)));

        repairRangeFrom = StorageService.instance.createRepairRangeFrom("2000", "2000");
        assert repairRangeFrom.size() == 0;
    }
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        int rowOverhead;
        MemtableAllocator allocator = MEMORY_POOL.newAllocator();
        ConcurrentNavigableMap<RowPosition, Object> rows = new ConcurrentSkipListMap<>();
        final Object val = new Object();
        for (int i = 0 ; i < count ; i++)
            rows.put(allocator.clone(new BufferDecoratedKey(new LongToken((long) i), ByteBufferUtil.EMPTY_BYTE_BUFFER), group), val);
        double avgSize = ObjectSizes.measureDeep(rows) / (double) count;
        rowOverhead = (int) ((avgSize - Math.floor(avgSize)) < 0.05 ? Math.floor(avgSize) : Math.ceil(avgSize));
        rowOverhead -= ObjectSizes.measureDeep(new LongToken((long) 0));
        rowOverhead += AtomicBTreeColumns.EMPTY_SIZE;
        allocator.setDiscarding();
        allocator.setDiscarded();
        return rowOverhead;
    }
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Related Classes of org.apache.cassandra.dht.LongToken

  • org.apache.cassandra.db.Memtable
  • org.apache.cassandra.service.StorageServiceServerTest
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