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POInsert operation became very slow for MongoDB
 

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  1. POInsert operation became very slow for MongoDB
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    <p>The client is pymongo. </p> <p>The program has been running for one week. It's indeed very fast to insert data before: about 10 million / 30 minutes. </p> <p>But today i found the insert operation became very very slow.</p> <p>There are about 120 million records in the goods collection now.</p> <pre><code>&gt; db.goods.count() 123535156 </code></pre> <p>And the indexs for goods collection is as following:</p> <blockquote> <p>db.goods.getIndexes();</p> </blockquote> <pre><code>[ { "v" : 1, "key" : { "_id" : 1 }, "ns" : "shop.goods", "name" : "_id_" }, { "v" : 1, "key" : { "item_id" : 1, "updated_at" : -1 }, "unique" : true, "ns" : "shop.goods", "name" : "item_id_1_updated_at_-1" }, { "v" : 1, "key" : { "updated_at" : 1 }, "ns" : "shop.goods", "name" : "updated_at_1" }, { "v" : 1, "key" : { "item_id" : 1 }, "ns" : "shop.goods", "name" : "item_id_1" } ] </code></pre> <p>And there is enough RAM and CPU.</p> <p>Someone told me because there are too many records. But didn't tell me how to solve this problem. I was a bit disappointed with the MongoDB. </p> <p>There will be more data needs to be stored in future(about 50 million new records per day). Is there any solution?</p> <p>Met same situation on another sever(Less data this time, total about 40 million), the current insert speed is about 5 records per second.</p> <pre><code>&gt; db.products.stats() { "ns" : "c2c.products", "count" : 42389635, "size" : 554721283200, "avgObjSize" : 13086.248164203349, "storageSize" : 560415723712, "numExtents" : 283, "nindexes" : 3, "lastExtentSize" : 2146426864, "paddingFactor" : 1.0000000000132128, "systemFlags" : 1, "userFlags" : 0, "totalIndexSize" : 4257185968, "indexSizes" : { "_id_" : 1375325840, "product_id_1" : 1687460992, "created_at_1" : 1194399136 }, "ok" : 1 } </code></pre>
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    1. COThere isn't enough information to have an idea on where your performance issue is; you really need to collect some statistics and ideally would have some monitoring history via a tool like [MongoDB Management service (MMS)](https://mms.mongodb.com). Based on your stats in the description, your products database is currently about 520Gb (and growing). We have no idea about your working set size or server configuration. You should look at indicators such as page faults, memory usage, and I/O usage to see if you have exceeded available resources or find more specific pain points.
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