Tree:
6e876e0582
add_fasthttp_client
add_remote_storage
avoid_releasing_temp_file_on_write
collect-public-metrics
create-table-snapshot-api-design
data_query_pushdown
dependabot/go_modules/github.com/parquet-go/parquet-go-0.25.0
dependabot/go_modules/go.etcd.io/etcd/client/v3-3.5.21
dependabot/maven/other/java/client/com.google.protobuf-protobuf-java-3.25.5
dependabot/maven/other/java/examples/org.apache.hadoop-hadoop-common-3.4.0
fasthttp
filer1_maintenance_branch
ftp
gh-pages
logrus
master
message_send
more-efficient-copy-object
mount2
mq-subscribe
mq2
original_weed_mount
random_access_file
remote_overlay
revert-5134-patch-1
revert-5819-patch-1
revert-6434-bugfix-missing-s3-audit
s3-select
sub
tcp_read
test-reverting-lock-table
test_udp
testing
tikv
track-mount-e2e
volume_buffered_writes
0.72
0.72.release
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dev
helm-3.65.1
v0.69
v0.70beta
v3.33
${ noResults }
3 Commits (6e876e058256938427b44847aa90f98c324bf3e4)
| Author | SHA1 | Message | Date |
|---|---|---|---|
Stuart P. Bentley
|
f0c2a2dcb3 |
Change all chrislusf/weed-fs links to point to chrislu/seaweedfs
|
10 years ago |
chrislusf
|
1b6ab2f6af |
Add boltdb for volume needle map
boltdb is fairly slow to write, about 6 minutes for recreating index for 1553934 files. Boltdb loads 1,553,934 x 16 = 24,862,944bytes from disk, and generate the boltdb as large as 134,217,728 bytes in 6 minutes. To compare, for leveldb, it recreates index in leveldb as large as 27,188,148 bytes in 8 seconds. For in memory version, it loads the index in To test the memory consumption, the leveldb or boltdb index are created. And the server is restarted. Using the benchmark tool to read lots of files. There are 7 volumes in benchmark collection, each with about 1553K files. For leveldb, the memory starts at 142,884KB, and stays at 179,340KB. For boltdb, the memory starts at 73,756KB, and stays at 144,564KB. For in-memory, the memory starts at 368,152KB, and stays at 448,032KB. |
10 years ago |
|
chrislusf
|
020ba6c9a8 |
add leveldb support for needle map
This supposedly should reduce memory consumption. However, for tests with millions of, this shows consuming more memories. Need to see whether this will work out. If not, later boltdb will be tested. |
10 years ago |