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PONeed to match for a certain day using a timestamp in MongoDB
 

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  1. PONeed to match for a certain day using a timestamp in MongoDB
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    <p>Using example doc</p> <pre><code>{ "_id": { "$oid": "527339384bb8d32905f000853" }, "format": "flat1", "aggregation": "raw", "vm_id": "10101010", "hostname": "foo.example.com", "fooid": "100822", "ts": { "$date": "2013-11-01T05:00:23.000Z" }, "cpu_nanoseconds": 1410576880000000, "disk_usage": 20069460, "interface_public_rx_packets": 35771474, "interface_public_rx_bytes": 6023191691, "interface_public_rx_errors": 0, "interface_public_rx_drop": 0, "interface_public_tx_packets": 26004483, "interface_public_tx_bytes": 37293536055, "interface_public_tx_errors": 0, "interface_public_tx_drop": 0, "interface_private_rx_packets": 846833, "interface_private_rx_bytes": 63898435, "interface_private_rx_errors": 0, "interface_private_rx_drop": 0, "interface_private_tx_packets": 39, "interface_private_tx_bytes": 1638, "interface_private_tx_errors": 0, "interface_private_tx_drop": 0, "disk_primary_read_requests": 3280869, "disk_primary_read_bytes": 39818978304, "disk_primary_write_requests": 40331710, "disk_primary_write_bytes": 685420728320, "disk_swap_read_requests": 32, "disk_swap_read_bytes": 823808, "disk_swap_write_requests": 16, "disk_swap_write_bytes": 253952, "vcpu_nanoseconds_0": 470437920000000, "vcpu_nanoseconds_1": 344849460000000, "vcpu_nanoseconds_2": 342793890000000, "max_vcpus": 3} </code></pre> <p>I have the following query that groups information by day:</p> <pre><code>[ { "$match" : { "vm_id" : "1111223"}}, { "$group" : { "_id" : { "$dayOfMonth" : "$ts"}, "month" : { "$first" : { "$month" : "$ts"}}, "year" : { "$first" : { "$year" : "$ts"}}, "vm_id" : { "$first" : "$vm_id"}, "max_public_tx" : { "$max" : "$interface_public_tx_bytes"}, "public_tx_total" : { "$sum" : "$interface_public_tx_bytes"}, "public_rx_total" : { "$sum" : "$interface_public_rx_bytes"}, "private_tx_total" : { "$sum" : "$interface_private_tx_bytes"}, "private_rx_total" : { "$sum" : "$interface_private_rx_bytes"}, "count" : { "$sum" : 1}} }, { "$sort" : { "_id" : 1}} ] </code></pre> <p>So now I want to reduce it to hours for a particular day. I thought all I needed was to change the _id and add another item to $match such as {{"$dayOfMonth" : "$ts"} :1} for the first day of the month but MongoDb hated that some much it hung my IDE. What would be the proper $match query?</p> <p>The query I'm working on currently:</p> <pre><code>[ { "$match" : { "vm_id" : "1111223",{ "$dayOfMonth" : "$ts"}: 1 }}, { "$group" : { "_id" : { "$hour" : "$ts"}, "day" : {"$first" : {"$dayOfMonth" : "$ts"}}, "month" : { "$first" : { "$month" : "$ts"}}, "year" : { "$first" : { "$year" : "$ts"}}, "vm_id" : { "$first" : "$vm_id"}, "max_public_tx" : { "$max" : "$interface_public_tx_bytes"}, "public_tx_total" : { "$sum" : "$interface_public_tx_bytes"}, "public_rx_total" : { "$sum" : "$interface_public_rx_bytes"}, "private_tx_total" : { "$sum" : "$interface_private_tx_bytes"}, "private_rx_total" : { "$sum" : "$interface_private_rx_bytes"}, "count" : { "$sum" : 1}} }, { "$sort" : { "_id" : 1}} ] </code></pre>
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    1. USClutch
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    1. COIt would help if you could edit your question to include the query that's actually causing the problem and a sample doc from the collection.
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      1. USJohnnyHK
    2. COCan you add a sample doc from your collection to your post?
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      1. USJohnnyHK
    3. COWhy do you want to group by hour across multiple days? that seems a bit strange - in fact your day aggregation groups by day of month across different months (and then ignores the month). These are not actually correct (except for some small subset of data you may be testing with which will seem to show the correct results).
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      1. PONeed to match for a certain day using a timestamp in MongoDB
      1. USAsya Kamsky
 

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