你自动 compaction 是不是关掉了？
如果有大量的写数据，没有做 compaction 的话，会导致磁盘占用增加；
重启 storaged 的时候，会触发 compaction。compaction 完以后磁盘占用率就降下来了。
如果超级节点的话，应该怎么去优化或者解决呢
是不是wal文件太大了，可以看下这个的大小和清理时间
可以看下storage配置的wal_ttl ，感觉是类似事务的日志
########## basics ##########
# Whether to run as a daemon process
--daemonize=true
--timezone_name=CST+8
# The file to host the process id
--pid_file=pids/nebula-storaged.pid
# Whether to use the configuration obtained from the configuration file
--local_config=true
########## logging ##########
# The directory to host logging files
--log_dir=logs
# Log level, 0, 1, 2, 3 for INFO, WARNING, ERROR, FATAL respectively
--minloglevel=0
# Verbose log level, 1, 2, 3, 4, the higher of the level, the more verbose of the logging
--v=0
# Maximum seconds to buffer the log messages
--logbufsecs=0
# Whether to redirect stdout and stderr to separate output files
--redirect_stdout=true
# Destination filename of stdout and stderr, which will also reside in log_dir.
--stdout_log_file=storaged-stdout.log
--stderr_log_file=storaged-stderr.log
# Copy log messages at or above this level to stderr in addition to logfiles. The numbers of severity levels INFO, WARNING, ERROR, and FATAL are 0, 1, 2, and 3, respectively.
--stderrthreshold=3
# Wether logging files' name contain time stamp.
--timestamp_in_logfile_name=true
########## networking ##########
# Comma separated Meta server addresses
--meta_server_addrs=10.52.19.75:9559,10.52.19.76:9559,10.52.19.77:9559
# Local IP used to identify the nebula-storaged process.
# Change it to an address other than loopback if the service is distributed or
# will be accessed remotely.
--local_ip=10.252.145.52
# Storage daemon listening port
--port=9779
# HTTP service ip
--ws_ip=0.0.0.0
# HTTP service port
--ws_http_port=19779
# heartbeat with meta service
--heartbeat_interval_secs=10
######### Raft #########
# Raft election timeout
--raft_heartbeat_interval_secs=600
# RPC timeout for raft client (ms)
--raft_rpc_timeout_ms=500
## recycle Raft WAL
--wal_ttl=3600
########## Disk ##########
# Root data path. Split by comma. e.g. --data_path=/disk1/path1/,/disk2/path2/
# One path per Rocksdb instance.
--data_path=/data01/nebula/store,/data02/nebula/store,/data03/nebula/store,/data04/nebula/store,/data05/nebula/store,/data06/nebula/store,/data07/nebula/store,/data08/nebula/store,/data09/nebula/store,/data10/nebula/store,/data11/nebula-/store,/data12/nebula/store
# Minimum reserved bytes of each data path
--minimum_reserved_bytes=268435456
# The default reserved bytes for one batch operation
--rocksdb_batch_size=4096
# The default block cache size used in BlockBasedTable.
# The unit is MB.
#--rocksdb_block_cache=4
--rocksdb_block_cache=4
# The type of storage engine, `rocksdb', `memory', etc.
--engine_type=rocksdb
# Compression algorithm, options: no,snappy,lz4,lz4hc,zlib,bzip2,zstd
# For the sake of binary compatibility, the default value is snappy.
# Recommend to use:
# * lz4 to gain more CPU performance, with the same compression ratio with snappy
# * zstd to occupy less disk space
# * lz4hc for the read-heavy write-light scenario
--rocksdb_compression=lz4
--enable_partitioned_index_filter=true
# Set different compressions for different levels
# For example, if --rocksdb_compression is snappy,
# "no:no:lz4:lz4::zstd" is identical to "no:no:lz4:lz4:snappy:zstd:snappy"
# In order to disable compression for level 0/1, set it to "no:no"
--rocksdb_compression_per_level=
# Whether or not to enable rocksdb's statistics, disabled by default
--enable_rocksdb_statistics=false
# Statslevel used by rocksdb to collection statistics, optional values are
# * kExceptHistogramOrTimers, disable timer stats, and skip histogram stats
# * kExceptTimers, Skip timer stats
# * kExceptDetailedTimers, Collect all stats except time inside mutex lock AND time spent on compression.
# * kExceptTimeForMutex, Collect all stats except the counters requiring to get time inside the mutex lock.
# * kAll, Collect all stats
--rocksdb_stats_level=kExceptHistogramOrTimers
# Whether or not to enable rocksdb's prefix bloom filter, enabled by default.
--enable_rocksdb_prefix_filtering=true
# Whether or not to enable rocksdb's whole key bloom filter, disabled by default.
--enable_rocksdb_whole_key_filtering=false
############## rocksdb Options ##############
# rocksdb DBOptions in json, each name and value of option is a string, given as "option_name":"option_value" separated by comma
--rocksdb_db_options={"max_subcompactions":"4","max_background_jobs":"4","max_open_files":"100000"}
# rocksdb ColumnFamilyOptions in json, each name and value of option is string, given as "option_name":"option_value" separated by comma
--rocksdb_column_family_options={"disable_auto_compactions":"false","write_buffer_size":"67108864","max_write_buffer_number":"4","max_bytes_for_level_base":"268435456"}
# rocksdb BlockBasedTableOptions in json, each name and value of option is string, given as "option_name":"option_value" separated by comma
--rocksdb_block_based_table_options={"block_size":"32768","cache_index_and_filter_blocks":"true"}
############### misc ####################
# Whether turn on query in multiple thread
--query_concurrently=true
# Whether remove outdated space data
--auto_remove_invalid_space=true
# Network IO threads number
--num_io_threads=16
# Max active connections for all networking threads. 0 means no limit.
# Max connections for each networking thread = num_max_connections / num_netio_threads
--num_max_connections=0
# Worker threads number to handle request
--num_worker_threads=32
# Maximum subtasks to run admin jobs concurrently
--max_concurrent_subtasks=10
# The rate limit in bytes when leader synchronizes snapshot data
--snapshot_part_rate_limit=10485760
# The amount of data sent in each batch when leader synchronizes snapshot data
--snapshot_batch_size=1048576
# The rate limit in bytes when leader synchronizes rebuilding index
--rebuild_index_part_rate_limit=4194304
# The amount of data sent in each batch when leader synchronizes rebuilding index
--rebuild_index_batch_size=1048576
########## memory tracker ##########
# trackable memory ratio (trackable_memory / (total_memory - untracked_reserved_memory) )
--memory_tracker_limit_ratio=0.8
# untracked reserved memory in Mib
--memory_tracker_untracked_reserved_memory_mb=50
# enable log memory tracker stats periodically
--memory_tracker_detail_log=false
# log memory tacker stats interval in milliseconds
--memory_tracker_detail_log_interval_ms=60000
# enable memory background purge (if jemalloc is used)
--memory_purge_enabled=true
# memory background purge interval in seconds
--memory_purge_interval_seconds=10
这是我的storage的配置情况，麻烦帮忙分析下，是否可以解决这个问题，或者提高查询效率。所有节点配置除了网络和磁盘外，几乎都一样
我也刚用，查询存在并发不高的问题，想看你这个问题能不能提供些思路呢