Web3. It's really hard to find a non-biased benchmark, let alone the benchmark that your objectively reflect your projected workload. Here is one, by makers of Cassandra (obviously, here Cassandra wins): Cassandra vs. MongoDB vs. Couchbase vs. HBase. few thousand operations/second as a starting point and it only goes up as the cluster size grows. WebOct 30, 2013 · It is iterating the mongodb cursor, which may take a long time if there are million records that matched the query. How can I use pagination if the whole result set must be returned using only one API call? – alexishacks Oct 31, 2013 at 9:37 seems like nobody encountered this use case before. :) – alexishacks Nov 12, 2013 at 5:24 Add a …
How to update 63 million records in MongoDB 50% faster?
WebMar 14, 2014 · When cloning the database, MongoDB is going to use as much network capacity as it can to transfer the data over as quickly as possible before the oplog rolls over. If you’re doing 50-60Mbps of normal network traffic, there isn’t much spare capacity on a 100Mbps connection so that resync is going to be held up by hitting the throughput limits. WebOct 13, 2024 · Which you possibly should - once you hit hundreds of billions of rows. It really is partitioning, but only if your insert/delete scenarios make it efficient. Otherwise the answer really is hardware, particularly because 100 millions are not a lot. And partitioning is the pretty much only solution that works nicely with ORM's. highest magnesium food sources
How to process a DataFrame with millions of rows in seconds
WebJul 3, 2012 · Mongo can easily handle billions of documents and can have billions of documents in the one collection but remember that the maximum document size is 16mb. There are many folk with billions of documents in MongoDB and there's lots of … WebAug 29, 2024 · We test both Mongo and Cassandra in our server and we can not handle 1 million per second write... for Cassandra we test SSTableLoader and we can handle 300-400k write per second (using multi thread java driver). for Mongo we can write 150k per second (using multi thread c++ driver) – HoseinEY Aug 29, 2024 at 14:11 then use a non … WebIf you hit one million records you will get performance problems if the indices are not set right (for example no indices for fields in "WHERE statements" or "ON conditions" in joins). If you hit 10 million records, you will start to get performance problems even if you have all your indices right. highest magnitude earthquake in bhutan