我通过Mongoose开发了该应用程序，查询（如下所示）的速度为30s到60s。
Transaction.find({code: '0001', time: {$lte: new Date(2018-01-02), $gt: new Date(2018-01-01)}});
然后我用下面的查询对mongo shell进行了测试（似乎没有帮助）。
db.Transaction.find({code: '0001', time: { $lte: '2018-01-02T00:00:00Z', $gt: '2018-01-01T00:00:00Z'}});`
下面是我的.explains以及收藏集的统计信息。
交易统计
{
"ns" : "TickData.transactions",
"size" : 6779402152,
"count" : 72038705,
"avgObjSize" : 94,
"storageSize" : 2113564672,
"capped" : false,
"wiredTiger" : {
"metadata" : {
"formatVersion" : 1
},
"creationString" : "access_pattern_hint=none,allocation_size=4KB,app_metadata=(formatVersion=1),assert=(commit_timestamp=none,read_timestamp=none),block_allocation=best,block_compressor=snappy,cache_resident=false,checksum=on,colgroups=,collator=,columns=,dictionary=0,encryption=(keyid=,name=),exclusive=false,extractor=,format=btree,huffman_key=,huffman_value=,ignore_in_memory_cache_size=false,immutable=false,internal_item_max=0,internal_key_max=0,internal_key_truncate=true,internal_page_max=4KB,key_format=q,key_gap=10,leaf_item_max=0,leaf_key_max=0,leaf_page_max=32KB,leaf_value_max=64MB,log=(enabled=true),lsm=(auto_throttle=true,bloom=true,bloom_bit_count=16,bloom_config=,bloom_hash_count=8,bloom_oldest=false,chunk_count_limit=0,chunk_max=5GB,chunk_size=10MB,merge_custom=(prefix=,start_generation=0,suffix=),merge_max=15,merge_min=0),memory_page_max=10m,os_cache_dirty_max=0,os_cache_max=0,prefix_compression=false,prefix_compression_min=4,source=,split_deepen_min_child=0,split_deepen_per_child=0,split_pct=90,type=file,value_format=u",
"type" : "file",
"uri" : "statistics:table:collection-12--503685154145610087",
"LSM" : {
"bloom filter false positives" : 0,
"bloom filter hits" : 0,
"bloom filter misses" : 0,
"bloom filter pages evicted from cache" : 0,
"bloom filter pages read into cache" : 0,
"bloom filters in the LSM tree" : 0,
"chunks in the LSM tree" : 0,
"highest merge generation in the LSM tree" : 0,
"queries that could have benefited from a Bloom filter that did not exist" : 0,
"sleep for LSM checkpoint throttle" : 0,
"sleep for LSM merge throttle" : 0,
"total size of bloom filters" : 0
},
"block-manager" : {
"allocations requiring file extension" : 0,
"blocks allocated" : 0,
"blocks freed" : 0,
"checkpoint size" : 2113531904,
"file allocation unit size" : 4096,
"file bytes available for reuse" : 16384,
"file magic number" : 120897,
"file major version number" : 1,
"file size in bytes" : 2113564672,
"minor version number" : 0
},
"btree" : {
"btree checkpoint generation" : 294,
"column-store fixed-size leaf pages" : 0,
"column-store internal pages" : 0,
"column-store variable-size RLE encoded values" : 0,
"column-store variable-size deleted values" : 0,
"column-store variable-size leaf pages" : 0,
"fixed-record size" : 0,
"maximum internal page key size" : 368,
"maximum internal page size" : 4096,
"maximum leaf page key size" : 2867,
"maximum leaf page size" : 32768,
"maximum leaf page value size" : 67108864,
"maximum tree depth" : 5,
"number of key/value pairs" : 0,
"overflow pages" : 0,
"pages rewritten by compaction" : 0,
"row-store internal pages" : 0,
"row-store leaf pages" : 0
},
"cache" : {
"bytes currently in the cache" : 1264186983,
"bytes read into cache" : NumberLong("1641469097316"),
"bytes written from cache" : 0,
"checkpoint blocked page eviction" : 0,
"data source pages selected for eviction unable to be evicted" : 310,
"eviction walk passes of a file" : 1193252,
"eviction walk target pages histogram - 0-9" : 3707,
"eviction walk target pages histogram - 10-31" : 1969,
"eviction walk target pages histogram - 128 and higher" : 0,
"eviction walk target pages histogram - 32-63" : 3261,
"eviction walk target pages histogram - 64-128" : 1184315,
"eviction walks abandoned" : 16565,
"eviction walks gave up because they restarted their walk twice" : 0,
"eviction walks gave up because they saw too many pages and found no candidates" : 1576,
"eviction walks gave up because they saw too many pages and found too few candidates" : 1464,
"eviction walks reached end of tree" : 16287,
"eviction walks started from root of tree" : 19605,
"eviction walks started from saved location in tree" : 1173647,
"hazard pointer blocked page eviction" : 205,
"in-memory page passed criteria to be split" : 0,
"in-memory page splits" : 0,
"internal pages evicted" : 150133,
"internal pages split during eviction" : 0,
"leaf pages split during eviction" : 0,
"modified pages evicted" : 0,
"overflow pages read into cache" : 0,
"page split during eviction deepened the tree" : 0,
"page written requiring lookaside records" : 0,
"pages read into cache" : 57616140,
"pages read into cache requiring lookaside entries" : 0,
"pages requested from the cache" : 442748265,
"pages seen by eviction walk" : 131524175,
"pages written from cache" : 0,
"pages written requiring in-memory restoration" : 0,
"tracked dirty bytes in the cache" : 0,
"unmodified pages evicted" : 57575155
},
"cache_walk" : {
"Average difference between current eviction generation when the page was last considered" : 0,
"Average on-disk page image size seen" : 0,
"Average time in cache for pages that have been visited by the eviction server" : 0,
"Average time in cache for pages that have not been visited by the eviction server" : 0,
"Clean pages currently in cache" : 0,
"Current eviction generation" : 0,
"Dirty pages currently in cache" : 0,
"Entries in the root page" : 0,
"Internal pages currently in cache" : 0,
"Leaf pages currently in cache" : 0,
"Maximum difference between current eviction generation when the page was last considered" : 0,
"Maximum page size seen" : 0,
"Minimum on-disk page image size seen" : 0,
"Number of pages never visited by eviction server" : 0,
"On-disk page image sizes smaller than a single allocation unit" : 0,
"Pages created in memory and never written" : 0,
"Pages currently queued for eviction" : 0,
"Pages that could not be queued for eviction" : 0,
"Refs skipped during cache traversal" : 0,
"Size of the root page" : 0,
"Total number of pages currently in cache" : 0
},
"compression" : {
"compressed pages read" : 57456583,
"compressed pages written" : 0,
"page written failed to compress" : 0,
"page written was too small to compress" : 0,
"raw compression call failed, additional data available" : 0,
"raw compression call failed, no additional data available" : 0,
"raw compression call succeeded" : 0
},
"cursor" : {
"bulk-loaded cursor-insert calls" : 0,
"create calls" : 3,
"cursor-insert key and value bytes inserted" : 0,
"cursor-remove key bytes removed" : 0,
"cursor-update value bytes updated" : 0,
"insert calls" : 0,
"modify calls" : 0,
"next calls" : 16369888007,
"prev calls" : 1,
"remove calls" : 0,
"reserve calls" : 0,
"reset calls" : 127918738,
"restarted searches" : 0,
"search calls" : 0,
"search near calls" : 127899373,
"truncate calls" : 0,
"update calls" : 0
},
"reconciliation" : {
"dictionary matches" : 0,
"fast-path pages deleted" : 0,
"internal page key bytes discarded using suffix compression" : 0,
"internal page multi-block writes" : 0,
"internal-page overflow keys" : 0,
"leaf page key bytes discarded using prefix compression" : 0,
"leaf page multi-block writes" : 0,
"leaf-page overflow keys" : 0,
"maximum blocks required for a page" : 0,
"overflow values written" : 0,
"page checksum matches" : 0,
"page reconciliation calls" : 0,
"page reconciliation calls for eviction" : 0,
"pages deleted" : 0
},
"session" : {
"object compaction" : 0,
"open cursor count" : 3
},
"transaction" : {
"update conflicts" : 0
}
},
"nindexes" : 1,
"totalIndexSize" : 732811264,
"indexSizes" : {
"_id_" : 732811264
},
"ok" : 1
}
交易查询的explain（）
> db.transactions.find({code:'0001',time: {$gte:ISODate("2018-07-03T00:00:00Z"),$lte:ISODate("2018-07-05T00:00:00Z")}}).explain()
{
"queryPlanner" : {
"plannerVersion" : 1,
"namespace" : "TickData.transactions",
"indexFilterSet" : false,
"parsedQuery" : {
"$and" : [
{
"code" : {
"$eq" : "0001"
}
},
{
"time" : {
"$lte" : ISODate("2018-07-05T00:00:00Z")
}
},
{
"time" : {
"$gte" : ISODate("2018-07-03T00:00:00Z")
}
}
]
},
"winningPlan" : {
"stage" : "COLLSCAN",
"filter" : {
"$and" : [
{
"code" : {
"$eq" : "0001"
}
},
{
"time" : {
"$lte" : ISODate("2018-07-05T00:00:00Z")
}
},
{
"time" : {
"$gte" : ISODate("2018-07-03T00:00:00Z")
}
}
]
},
"direction" : "forward"
},
"rejectedPlans" : [ ]
},
"serverInfo" : {
"host" : "ubuntu-s-1vcpu-1gb-sgp1-01",
"port" : 27017,
"version" : "3.6.3",
"gitVersion" : "9586e557d54ef70f9ca4b43c26892cd55257e1a5"
},
"ok" : 1
}
> db.transactions.find({code:'0001',time: {$gte:ISODate("2018-07-03T00:00:00Z"),$lte:ISODate("2018-07-05T00:00:00Z")}}).explain()
{
"queryPlanner" : {
"plannerVersion" : 1,
"namespace" : "TickData.transactions",
"indexFilterSet" : false,
"parsedQuery" : {
"$and" : [
{
"code" : {
"$eq" : "0001"
}
},
{
"time" : {
"$lte" : ISODate("2018-07-05T00:00:00Z")
}
},
{
"time" : {
"$gte" : ISODate("2018-07-03T00:00:00Z")
}
}
]
},
"winningPlan" : {
"stage" : "COLLSCAN",
"filter" : {
"$and" : [
{
"code" : {
"$eq" : "0001"
}
},
{
"time" : {
"$lte" : ISODate("2018-07-05T00:00:00Z")
}
},
{
"time" : {
"$gte" : ISODate("2018-07-03T00:00:00Z")
}
}
]
},
"direction" : "forward"
},
"rejectedPlans" : [ ]
},
"serverInfo" : {
"host" : "ubuntu-s-1vcpu-1gb-sgp1-01",
"port" : 27017,
"version" : "3.6.3",
"gitVersion" : "9586e557d54ef70f9ca4b43c26892cd55257e1a5"
},
"ok" : 1
}
如何提高查询性能？
答案 0 :(得分：0)
您的查询执行一次集合扫描-这意味着它将扫描集合中的所有项目以检索结果。
您可以使用索引来缩短查询时间，在code字段和time字段上都创建索引。
使用以下代码行：
db.Transaction.createIndex( { code: 1, time: 1})
答案 1 :(得分：0)
1）添加要在查询时提高性能的字段的索引可能会有所帮助。 您可以阅读有关mongoDB索引here的更多信息。
2）如果在使用查询输出数据时不需要BSON数据类型优势，则可以lean猫鼬查询。这也将提高性能。像这样：
Transaction.find({
code: "0001",
time: { $lte: new Date("2018-01-02"), $gt: new Date("2018-01-01") }
}).lean();
P.S。 如果您必须以编程方式处理大型数据集-最好分批执行。