I use the common line :
rippled submit_multisigned '{"TransactionType":"Payment","Account":"rBFiSRP7asY6CajpRpSdqmoRbN3FAebpNv","Destination":"raNrt34FdELxDGfBCR46euASUdcoNEaf9K","DestinationTag":"025465","Amount":"1000000","Sequence":1,"SigningPubKey":"","Fee":"30000","Flags":262144,"Signers":[{"Signer":{"Account":"rhTqqVzJojgTuPAQ9oti3SRcFcsNRcqqgM","SigningPubKey":"024EDC40BC022FE0324F5244939C66E24988DE141BE738DAC25F6A51FD6D0EED5D","TxnSignature":"**"}},{"Signer":{"Account":"rD9KVojocpjsZcisDMTaKiTm2Kg2HevLqF","SigningPubKey":"035A908008D533C2E25CF9823144A026DA7FBE094588EB312862D14CEECF7F60BA","TxnSignature":"**"}}],"hash":"2D9852A4F44F1E979B40EEEF401932C1D8CF852A9F8EDC3C079E211DE6C244B3"}'
And got the result like that
{
"result" : {
"engine_result" : "temBAD_SEND_XRP_LIMIT",
"engine_result_code" : -289,
"engine_result_message" : "Malformed: Limit quality is not allowed for XRP to XRP.",
"status" : "success",
"tx_blob" : "****",
"tx_json" : {
"Account" : "rBFiSRP7asY6CajpRpSdqmoRbN3FAebpNv",
"Amount" : "1000000",
"Destination" : "raNrt34FdELxDGfBCR46euASUdcoNEaf9K",
"DestinationTag" : 25465,
"Fee" : "30000",
"Flags" : 262144,
"Sequence" : 1,
"Signers" : [
{
"Signer" : {
"Account" : "rhTqqVzJojgTuPAQ9oti3SRcFcsNRcqqgM",
"SigningPubKey" : "024EDC40BC022FE0324F5244939C66E24988DE141BE738DAC25F6A51FD6D0EED5D",
"TxnSignature" : "****"
}
},
{
"Signer" : {
"Account" : "rD9KVojocpjsZcisDMTaKiTm2Kg2HevLqF",
"SigningPubKey" : "035A908008D533C2E25CF9823144A026DA7FBE094588EB312862D14CEECF7F60BA",
"TxnSignature" : "***"
}
}
],
"SigningPubKey" : "",
"TransactionType" : "Payment",
"hash" : "2CEB1FFF2CDF723D80BEA4357E3445223FDBBD9245901240E4BF05CE42688DD1"
}
}
}
The error is :Malformed: Limit quality is not allowed for XRP to XRP.
In the official website api has been found and did not find how to solve。
How can I fix this problem?
Related
I'm running a MongoDB on my VPS. Two instances of the same python bot are constantly reading and writing documents. Essentially, they continously repeat the following steps infinitely:
Get a document using find_and_modify() (no i cannot use find() here)
process data fetched in step 1 (takes 10-60 seconds)
update document using find_and_modify() (no i cannot use update() here)
This worked flawlessly until I deployed a REST API web server to view the results in the browser etc. Now whenever the bot instances and the web server are running at the same time, the bots slow down by minutes and a request to my web server takes 2 minutes. When either the bots or the web server are/is running, they both query the database within milliseconds.
Before I think about upgrading my VPS' RAM and CPU, I would like to understand what exactly causes this. I assume the problem lies in the database being overwhelmed with the amount of requests from the 3 clients (2 bot instances, 1 web server).
I found the command currentOp(), but I'm having issues understanding its return.
> db.currentOp({"secs_running": {"$gte": 5}})
{
"inprog" : [
{
"type" : "op",
"host" : "localhost:27017",
"desc" : "conn1555",
"connectionId" : 1555,
"client" : "127.0.0.1:37750",
"clientMetadata" : {
"driver" : {
"name" : "PyMongo",
"version" : "3.11.3"
},
"os" : {
"type" : "Linux",
"name" : "Linux",
"architecture" : "x86_64",
"version" : "5.4.0-71-generic"
},
"platform" : "CPython 3.8.5.final.0"
},
"active" : true,
"currentOpTime" : "2021-04-27T13:37:56.261+00:00",
"opid" : 3151480,
"lsid" : {
"id" : UUID("71d36512-c5a3-4fe9-b3f9-31fd23e86413"),
"uid" : BinData(0,"47DEQpj8HBSa+/TImW+5JCeuQeRkm5NMpJWZG3hSuFU=")
},
"secs_running" : NumberLong(123),
"microsecs_running" : NumberLong(123430156),
"op" : "command",
"ns" : "nxmain.websites",
"command" : {
"aggregate" : "websites",
"pipeline" : [
{
"$match" : {
}
},
{
"$group" : {
"_id" : 1,
"n" : {
"$sum" : 1
}
}
}
],
"cursor" : {
},
"lsid" : {
"id" : UUID("71d36512-c5a3-4fe9-b3f9-31fd23e86413")
},
"$db" : "nxmain",
"$readPreference" : {
"mode" : "primaryPreferred"
}
},
"planSummary" : "COLLSCAN",
"numYields" : 934,
"locks" : {
"ReplicationStateTransition" : "w",
"Global" : "r",
"Database" : "r",
"Collection" : "r"
},
"waitingForLock" : false,
"lockStats" : {
"ReplicationStateTransition" : {
"acquireCount" : {
"w" : NumberLong(936)
}
},
"Global" : {
"acquireCount" : {
"r" : NumberLong(936)
}
},
"Database" : {
"acquireCount" : {
"r" : NumberLong(936)
}
},
"Collection" : {
"acquireCount" : {
"r" : NumberLong(936)
}
},
"Mutex" : {
"acquireCount" : {
"r" : NumberLong(2)
}
}
},
"waitingForFlowControl" : false,
"flowControlStats" : {
}
},
{
"type" : "op",
"host" : "localhost:27017",
"desc" : "conn1535",
"connectionId" : 1535,
"client" : "127.0.0.1:36886",
"clientMetadata" : {
"driver" : {
"name" : "PyMongo",
"version" : "3.11.3"
},
"os" : {
"type" : "Linux",
"name" : "Linux",
"architecture" : "x86_64",
"version" : "5.4.0-71-generic"
},
"platform" : "CPython 3.8.5.final.0"
},
"active" : true,
"currentOpTime" : "2021-04-27T13:37:56.261+00:00",
"opid" : 3152992,
"secs_running" : NumberLong(7),
"microsecs_running" : NumberLong(7503765),
"op" : "command",
"ns" : "admin.$cmd",
"command" : {
"ismaster" : 1,
"topologyVersion" : {
"processId" : ObjectId("60845741af792cc59a636f20"),
"counter" : NumberLong(0)
},
"maxAwaitTimeMS" : 10000,
"$db" : "admin",
"$readPreference" : {
"mode" : "primary"
}
},
"numYields" : 0,
"waitingForLatch" : {
"timestamp" : ISODate("2021-04-27T13:37:48.858Z"),
"captureName" : "AnonymousLatch"
},
"locks" : {
},
"waitingForLock" : false,
"lockStats" : {
},
"waitingForFlowControl" : false,
"flowControlStats" : {
}
}
],
"ok" : 1
}
As you can see there are two operations in the pipeline. The one with secs_running: 123 is the web server, the other one is one of the bot instances, which takes about 10-20 seconds when the web server is running in parallel.
What could be the cause for my problem and how can I solve it? Thank you in advance.
i have this cart data in mydb, cart contains array of products :
{
"_id" : ObjectId("5f3a609dfb64f953c45bc97a"),
"user_id" : ObjectId("5f3a609dfb64f953c45bc979"),
"products" : [
{
"product_id" : ObjectId("5f3a609dfb64f953c45bc97f"),
"product_name" : "Cangkir",
"product_price" : NumberLong(10000),
"productavatar" : [
"default-product.jpg"
],
"merchant_id" : ObjectId("5f3a609dfb64f953c45bc97d"),
"merchant_name" : "Merchant Test 1",
"quantity" : NumberLong(1),
"buyer_note" : "Mohon dipacking dengan rapi",
"updated" : false,
"message" : ""
}
],
"created_at" : ISODate("2020-08-17T10:49:01.692Z"),
"updated_at" : Timestamp(1597661341, 19)
}
i want pull product in cart, and just return the product is pulled.
this is my query :
//first
db.getCollection('carts').findOneAndUpdate({"_id" : ObjectId("5f3a609dfb64f953c45bc97a"), "products.product_id" :ObjectId("5f3a609dfb64f953c45bc97f")},{"$pull" : {"products" : { "product_id" : ObjectId("5f3a609dfb64f953c45bc97f")}}},{"projection" : { "products.$" : 1}})
//second
db.getCollection('carts').findOneAndUpdate({"_id" : ObjectId("5f3a609dfb64f953c45bc97a")},{"$pull" : {"products" : { "product_id" : ObjectId("5f3a609dfb64f953c45bc97f")}}},{"projection" : {"products" : {"$elemMatch" : {"product_id" : ObjectId("5f3a609dfb64f953c45bc97f")}}}})
Result
{
"_id" : ObjectId("5f3a609dfb64f953c45bc97a"),
"products" : [
{
"product_id" : ObjectId("5f3a609dfb64f953c45bc97f"),
"product_name" : "Cangkir",
"product_price" : NumberLong(10000),
"productavatar" : [
"default-product.jpg"
],
"merchant_id" : ObjectId("5f3a609dfb64f953c45bc97d"),
"merchant_name" : "Merchant Test 1",
"quantity" : NumberLong(1),
"buyer_note" : "Mohon dipacking dengan rapi",
"updated" : false,
"message" : ""
}
]
}
this query is work to pull the product but the return value is not single pulled product.
This is what i expected return :
{
"product_id" : ObjectId("5f3a609dfb64f953c45bc97f"),
"product_name" : "Cangkir",
"product_price" : NumberLong(10000),
"productavatar" : [
"default-product.jpg"
],
"merchant_id" : ObjectId("5f3a609dfb64f953c45bc97d"),
"merchant_name" : "Merchant Test 1",
"quantity" : NumberLong(1),
"buyer_note" : "Mohon dipacking dengan rapi",
"updated" : false,
"message" : ""
}
is my approach cannot be works? or i must change another approach, i have read about aggregate but i bit more confused to me
Thanks
i've passed a mysql database to mongoDB for a project. My db is about a pharmacy. I have a collection of factures, where which has the list of medicines sold. I'm trying to find the medicine which was sold the most.
{
"_id" : ObjectId("5c3c71f2760c4f47c701fe13"),
"cliente" : {
"tlmv" : "910987654",
"nome" : "Josefina Vivida da Paz",
"nif" : "122133144",
"pontos" : NumberLong(0),
"id" : NumberLong(2),
"pass" : "1eab06cab995dfeb32b6b7c709b8a6c62cabacfe",
"email" : "josefina#hotmail.pt"
},
"data_f" : ISODate("2018-06-03T00:00:01Z"),
"data_s" : ISODate("2018-06-02T23:55:59Z"),
"desconto" : 0,
"funcionario" : {
"tlmv" : "934567123",
"nome" : "Pedro Jorge Rito Lima",
"ordenado" : 800.32,
"iban" : "PT 50 2751 3262 76598707612",
"pass" : "3cfa1c281281ffe4f5db2ccfbe7a17f8a9479808",
"niss" : "14385639201",
"id" : NumberLong(2),
"cedula" : "54321"
},
"id" : NumberLong(15),
"id_c" : NumberLong(2),
"id_func" : NumberLong(2),
"medicamentos" : [
{
"categoria" : "Analg�sico",
"receita" : "N",
"des" : "Ben-U-Ron 500",
"qt" : 20,
"formato" : "granulado",
"qt_v" : NumberLong(1),
"pos" : "A12",
"lab" : "Laborat�rio do Rio Ave",
"preco_l" : 2.51,
"un" : "un",
"preco" : 2.51,
"preco_v" : 2.51,
"id" : NumberLong(1),
"stock" : NumberLong(21)
},
{
"categoria" : "Estatina",
"receita" : "S",
"des" : "Sinvastatina",
"qt" : 30,
"formato" : "comprimido",
"qt_v" : NumberLong(1),
"pos" : "K23",
"lab" : "Mylan",
"preco_l" : 16.45,
"un" : "un",
"preco" : 16.45,
"preco_v" : 16.45,
"id" : NumberLong(6),
"stock" : NumberLong(25)
}
],
"pontos_r" : NumberLong(10),
"pontos_u" : NumberLong(0),
"total" : 18.96
}
So my objective is to count every medicine -"medicamento"- sorted by different descriptions-"des". Similiar to Count on mysql. Any ideas how? The code above is abount 1 facture.
You need $unwind to get a medicine per document and then $group with $sum to get count per medicine, try:
db.collection.aggregate([
{
$unwind: "$medicamentos"
},
{
$group: {
_id: "$medicamentos.des",
count: { $sum: 1 }
}
}
])
I have a Pageable request which query for about 1.6 millions documents and each request limit the response to 1000 documents. The query use an index... Well at least it should... I'm using db.currentOp() to look for the request that takes a while to process. When I launched the query (yesterday at 01:00PM) it used the index for each portion of 1000. But it seems that at some point he decided not to use it anymore... And I can't figure out why...
I also have a command operation for the same query and it is using the index.
{
"desc" : "conn7758",
"threadId" : "1012",
"connectionId" : 7758,
"client" : "10.10.10.3:64670",
"clientMetadata" : {
"driver" : {
"name" : "mongo-java-driver",
"version" : "unknown"
},
"os" : {
"type" : "Windows",
"name" : "Windows Server 2008 R2",
"architecture" : "x86",
"version" : "6.1"
},
"platform" : "Java/Oracle Corporation/1.8.0_73-b02"
},
"active" : true,
"opid" : 119588895,
"secs_running" : 1299,
"microsecs_running" : NumberLong(1299666014),
"op" : "command",
"ns" : "thingsplay.data",
"query" : {
"count" : "data",
"query" : {
"device" : "S000110",
"topic" : "INPUTS/COIL1000",
"date" : {
"$gt" : ISODate("2015-08-08T06:00:00Z"),
"$lt" : ISODate("2018-06-14T11:28:08.369Z")
}
}
},
"planSummary" : "IXSCAN { device: 1, topic: 1, vhost: 1}",
"numYields" : 81449,
"locks" : {
"Global" : "r",
"Database" : "r",
"Collection" : "r"
},
"waitingForLock" : false,
"lockStats" : {
"Global" : {
"acquireCount" : {
"r" : NumberLong(162900)
}
},
"Database" : {
"acquireCount" : {
"r" : NumberLong(81450)
}
},
"Collection" : {
"acquireCount" : {
"r" : NumberLong(81450)
}
}
}
}
The request is still running... and I think it will be for a couple of hours.
Here is the last operations that is running :
{
"desc" : "conn7758",
"threadId" : "1012",
"connectionId" : 7758,
"client" : "10.10.10.3:64670",
"clientMetadata" : {
"driver" : {
"name" : "mongo-java-driver",
"version" : "unknown"
},
"os" : {
"type" : "Windows",
"name" : "Windows Server 2008 R2",
"architecture" : "x86",
"version" : "6.1"
},
"platform" : "Java/Oracle Corporation/1.8.0_73-b02"
},
"active" : true,
"opid" : 120813021,
"secs_running" : 134,
"microsecs_running" : NumberLong(134586683),
"op" : "query",
"ns" : "thingsplay.data",
"query" : {
"find" : "data",
"filter" : {
"device" : "S000110",
"topic" : "INPUTS/COIL1000",
"date" : {
"$gt" : ISODate("2015-08-08T06:00:00Z"),
"$lt" : ISODate("2018-06-14T11:28:08.369Z")
}
},
"projection" : {
},
"skip" : 1124000,
"limit" : 1000
},
"numYields" : 8445,
"locks" : {
"Global" : "r",
"Database" : "r",
"Collection" : "r"
},
"waitingForLock" : false,
"lockStats" : {
"Global" : {
"acquireCount" : {
"r" : NumberLong(16892)
}
},
"Database" : {
"acquireCount" : {
"r" : NumberLong(8446)
}
},
"Collection" : {
"acquireCount" : {
"r" : NumberLong(8446)
}
}
}
}
Unfortunately I don't have the operation of the first operations that went well but you can see here that it doesn't use the index.
[
{
"v" : 2,
"key" : {
"_id" : 1
},
"name" : "_id_",
"ns" : "thingsplay.data"
},
{
"v" : 2,
"key" : {
"device" : 1,
"topic" : 1,
"date" : 1
},
"name" : "device_1_topic_1_date_1",
"ns" : "thingsplay.data",
"background" : true
},
{
"v" : 2,
"key" : {
"device" : 1,
"topic" : 1,
"vhost" : 1
},
"name" : "device_1_topic_1_vhost_1",
"ns" : "thingsplay.data",
"background" : true
}
]
{
"_id" : "WR10005",
"_class" : "com.bioraid.mes.model.WorkOrders",
"rountingNumber" : "R006",
"orderId" : "MR-1017",
"consumables" : "Chip",
"workOrderStatus" : "pending",
"deliveryStatus" : "on time",
"lastCompletedStage" : "testProces",
"dateAssigned" : ISODate("2017-02-17T05:38:57.631Z"),
"dateCompleted" : ISODate("2017-02-17T07:53:32.680Z"),
"opretorProcessStatus" : [
{
"opretorid" : "USER114",
"process" : "testProces",
"status" : "Done",
"workCenterId" : "WC1",
"startDate" : ISODate("2017-02-17T06:30:16.813Z"),
"endDate" : ISODate("2017-02-17T06:42:23.237Z"),
"qualityManagerReview" : {
"qaId" : "",
"status" : "Done",
"note" : ""
}
},
{
"opretorid" : "USER116",
"process" : "testProces",
"status" : "Done",
"workCenterId" : "WC1",
"startDate" : ISODate("2017-02-17T06:30:16.813Z"),
"endDate" : ISODate("2017-02-17T06:42:23.237Z")
}
],
"workOrdersRouting" : {
"testProces" : [
{
"routingStep" : "R006*010",
"operationName" : "Operation1",
"operationStatus" : "Completed",
"operationResult" : "Pass",
"operationNote" : "test"
},
{
"routingStep" : "R006*020",
"operationName" : "adalks",
"operationStatus" : "Completed",
"operationResult" : "Pass",
"operationNote" : "sddsdfsf"
}
],
"Embossing" : [
{
"routingStep" : "R006*030",
"operationName" : "Water Cleaning",
"operationStatus" : "",
"operationResult" : "",
"operationNote" : ""
}
],
"Turbidity" : [
{
"routingStep" : "R006*040",
"operationName" : "Embossing Assembly",
"operationStatus" : "",
"operationResult" : "",
"operationNote" : ""
}
]
}
}
I want to get {'opretorProcessStatus.qualityManagerReview.status' : {$ne : null}} but this is not giving proper result can any one help me to write this.
and other one is db.getCollection('workOrders').find({'opretorProcessStatus.qualityManagerReview.status' : "Done"}).
You can use $elemMatch to get the Document which you need.
To find documents with opretorProcessStatus.qualityManagerReview.status = Done, use this query:
db.getCollection("workOrders").find({"opretorProcessStatus":{"$elemMatch":{""qualityManagerReview.status":"Done"}}})
To find the documents which don't have status as null:
db.getCollection("workOrders").find({"opretorProcessStatus":{"$elemMatch":{""qualityManagerReview.status":{"$ne":null}}}})