berkeley db java使用

[hmsuccess]

有没有使用过berkeley db java edition的高手，现有一个问题急需解决，特在此寻求帮助。

问题如下：
现需要向数据库中插入大概5000w条记录，数据项的key为String类型，data为自定义的A类型，处理的过程中发现数据库的日志文件(*.jdb)越来越大，直达50G，直接将我的硬盘撑爆，太恐怖了~~~，有没有解决的方法。

在此，先感谢所有提供意见的朋友！

我的je配置如下：

# If true (default is false) NIO is used for all file I/O.
je.log.useNIO=true

# If non-0 (default is 0) break all IO into chunks of this size.
# This setting is only used if je.log.useNIO=true.
# minimum = 0
# maximum = 67108864
je.log.chunkedNIO=8192

# If true (default is false) direct NIO buffers are used.
# This setting is only used if je.log.useNIO=true.
je.log.directNIO=true

# The maximum size of each individual JE log file, in bytes.
# minimum = 1000000
# maximum = 4294967296
# 100M
je.log.fileMax=104857600

# maximum starting size of a JE log buffer
# 32M
je.log.bufferSize=33554432

# The number of JE log buffers
# minimum = 2
je.log.numBuffers=2

# The total memory taken by log buffers, in bytes. If 0, use
# 7% of je.maxMemory
# minimum = 6144
# 32M * 2
je.log.totalBufferBytes=67108864

# By default, JE sizes the cache as a percentage of the maximum
# memory available to the JVM. For example, if the JVM is
# started with -Xmx128M, the cache size will be
#           (je.maxMemoryPercent * 128M) / 100
# Setting je.maxMemory to an non-zero value will override
# je.maxMemoryPercent
# minimum = 1
# maximum = 90
je.maxMemoryPercent=60

# If true (the default), use an LRU-only policy to select nodes for
# eviction.  If false, select by Btree level first, and then by LRU.
je.evictor.lruOnly=false

# The number of nodes in one evictor scan
# minimum = 1
# maximum = 1000
je.evictor.nodesPerScan=100

# The cleaner will keep the total disk space utilization percentage
# above this value. The default is set to 50 percent.
# minimum = 0
# maximum = 90
je.cleaner.minUtilization=90

[小贝壳666]

能不能把DB的LOG关了

[justwalking]

顶贴，关注，学习。。。。。。。。。。。。。。。。。。。。。。

[hmsuccess]

[Quote=引用 1 楼 gardner2010 的回复:]
能不能把DB的LOG关了
[/Quote]
请教，如果关闭，谢谢！

[hmsuccess]

引用 1 楼 gardner2010 的回复:
能不能把DB的LOG关了

请教，如何关闭，谢谢！
[/Quote]

[hmsuccess]

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