Error message from console:
Uncaught com.google.gwt.event.shared.UmbrellaException:
Exception caught:
Exception caught:
Unknown editor com.redspr.redquerybuilder.core.shared.meta.Editor$TextEditor#37
38F3C4025EC78286963A0AE9DF90B56C.cache.html:912
(anonymous function)
If I change it back to "ONE" it works normally, however, I would need the parens to replace the enclosing quotes for IN to work properly.
Here is what my config looks like:
types : [{
"name" : "STRING",
"editor" : "TEXT",
"operators" : [
{
"name" : "=",
"label" : "Equals",
"cardinality" : "ONE"
},
{
"name" : "<>",
"label" : "Not Equal To",
"cardinality" : "ONE"
},
{
"name" : "<",
"label" : "Less Than",
"cardinality" : "ONE"
},
{
"name" : ">",
"label" : "Greater Than",
"cardinality" : "ONE"
},
{
"name" : "IN",
"label" : "IN = comma-delimited list. ex: Tyson,Holyfield",
"cardinality" : "MULTI"
}
]
}]
This is a great tool btw! If I can allow the use of IN for the Where clause, it will fulfill all requirements for my implementation.
I'm afraid this isn't supported (text editor that splits out commas)... Only SelectEditor (need better name) supports MULTI.
This seems a reasonable feature though.
Worth creating a feature request on https://github.com/salk31/RedQueryBuilder ?
and maybe a bug report about poor error message?
Cheers
Sam
Related
I am trying to generate a test AVRO file from a collection of objects represented by generated classes (TestAggregate.java, TestTuple.java). I used avro-tools-1.10.2.jar to generate those classes from this AVRO schema (dataset.avsc):
{
"type" : "record",
"name" : "TestAggregate",
"namespace" : "com....",
"fields" : [ {
"name" : "uuid",
"type" : "string"
}, {
"name" : "bag",
"type" : {
"type" : "array",
"items" : {
"type" : "record",
"name" : "TestTuple",
"fields" : [ {
"name" : "s",
"type" : "int"
}, {
"name" : "n",
"type" : "int"
}, {
"name" : "c",
"type" : "int"
}, {
"name" : "f",
"type" : "int"
} ]
}
},
"aliases" : [ "bag" ]
} ]
}
When I try to create an Encoder using
Encoder<TestAggregate> datasetEncoder = Encoders.bean(TestAggregate.class); , it throws an Exception:
Exception in thread "main" java.lang.UnsupportedOperationException: Cannot have circular references in bean class, but got the circular reference of class class org.apache.avro.Schema...
There is no circular reference in those generated files (or schema) as far as I can tell.
I am using Spark release 3.2.1.
Any ideas on how to resolve it?
I'm not sure you need an encoder (or the compiled class)
Take the AVSC text itself, and you can get a Schema like so
SchemaConverters.toSqlType(new Schema.Parser().parse(avroSchema))
Then this can be given to the spark-sql from_avro function.
I am new to MongoDB and NodeJS,
When i try to create the JsonSchema with data types, string, integer, date and bool, it is created but always throwing an error as document validation error while inserting the data, So i changed the bsonType of one data type to number, then it started creating collection records, but the observation is it is storing as Double datatype, I read somewhere in the stackoverflow, that it stores like that only, but my question is why is this behavior? WHY THE ERROR IS NOT BEING THROWN AT THE TIME OF CREATION OF THE JSONSCHEMA but it is throwing at the time of data insertion?
Also, if we have nested objects let us say, Customer object with Address as nested object, the main object's int/number values are stored as Double where as inside the address object's pincode storing as Int32. This is also very confusing. what is the difference between these objects but the structure of the schema is same.
What are the other ways to implement and having proper validated schema for MongoDB.
>
db.getCollectionInfos({name:"companysInt1s1"})
[
{
"name" : "companysInt1s1",
"type" : "collection",
"options" : {
"validator" : {
"$jsonSchema" : {
"bsonType" : "object",
"required" : [
"tin"
],
"properties" : {
"tin" : {
"bsonType" : "int",
"minLength" : 2,
"maxLength" : 11,
"description" : "must be a string and is not required, should be 11 characters length"
}
}
}
}
},
"info" : {
"readOnly" : false,
"uuid" : UUID("27cba650-7bd3-4930-8d3e-7e6cbbf517db")
},
"idIndex" : {
"v" : 2,
"key" : {
"_id" : 1
},
"name" : "_id_",
"ns" : "invoice.companysInt1s1"
}
}
]
> db.companysInt1s1.insertOne({tin:22222})
2019-02-14T15:04:28.712+0530 E QUERY [js] WriteError: Document failed validation :
WriteError({
"index" : 0,
"code" : 121,
"errmsg" : "Document failed validation",
"op" : {
"_id" : ObjectId("5c653624e382c2ec16c16893"),
"tin" : 22222
}
})
WriteError#src/mongo/shell/bulk_api.js:461:48
Bulk/mergeBatchResults#src/mongo/shell/bulk_api.js:841:49
Bulk/executeBatch#src/mongo/shell/bulk_api.js:906:13
Bulk/this.execute#src/mongo/shell/bulk_api.js:1150:21
DBCollection.prototype.insertOne#src/mongo/shell/crud_api.js:252:9
#(shell):1:1
Am i missing something or any other documentation should i be following? Appreciate your guidance...
You need to insert as NumberInt.
when you run this
db.companysInt1s1.insertOne({tin:22222})
you are actually inserting tin as float.
so the correct way to do it is
db.companysInt1s1.insertOne({tin: NumberInt(22222) })
I am trying to solve a problem that occurs when inserting related nodes in Neo4j. Nodes are inserted by several threads using the standard save method of org.springframework.data.neo4j.repository.GraphRepository.
Sometimes the insertion fails when fetching a related node in order to define a relationship. The exception messages are like this: org.neo4j.graphdb.NotFoundException: '__type__' on http://neo4j:7474/db/data/relationship/105550.
Calling this URL from curl returns a JSON object which appears to have __type__ correctly defined, which suggests that the exception is caused by a race between inserting threads.
The method that originates the calls to the repository is annotated #Neo4jTransactional. What atomicity and transaction isolation does #Neo4jTransactional guarantee? And how should I use it for multi-threaded insertions?
Update:
I have now been able to see this happening in the debugger. The code is trying to fetch the node at one end of this relationship, together with all its relationships. It throws an exception because the type attribute is missing. This is the JSON initially returned.
{
"extensions" : { },
"start" : "http://localhost:7474/db/data/node/617",
"property" : "http://localhost:7474/db/data/relationship/533/properties/{key}",
"self" : "http://localhost:7474/db/data/relationship/533",
"properties" : "http://localhost:7474/db/data/relationship/533/properties",
"type" : "CONTAINS",
"end" : "http://localhost:7474/db/data/node/650",
"metadata" : {
"id" : 533,
"type" : "CONTAINS"
},
"data" : { }
}
A few seconds later, the same REST call returns this JSON:
{
"extensions" : { },
"start" : "http://localhost:7474/db/data/node/617",
"property" : "http://localhost:7474/db/data/relationship/533/properties/{key}",
"self" : "http://localhost:7474/db/data/relationship/533",
"properties" : "http://localhost:7474/db/data/relationship/533/properties",
"type" : "CONTAINS",
"end" : "http://localhost:7474/db/data/node/650",
"metadata" : {
"id" : 533,
"type" : "CONTAINS"
},
"data" : {
"__type__" : "ProductRelationship"
}
}
I can't understand why there is such a long delay between inserting the relationship and specifying the type. Why doesn't it all happen at once?
So I have this document within the course collection
{
"_id" : ObjectId("53580ff62e868947708073a9"),
"startDate" : ISODate("2014-04-23T19:08:32.401Z"),
"scoreId" : ObjectId("531f28fd495c533e5eaeb00b"),
"rewardId" : null,
"type" : "certificationCourse",
"description" : "This is a description",
"name" : "testingAutoSteps1",
"authorId" : ObjectId("532a121e518cf5402d5dc276"),
"steps" : [
{
"name" : "This is a step",
"description" : "This is a description",
"action" : "submitCategory",
"value" : "532368bc2ab8b9182716f339",
"statusId" : ObjectId("5357e26be86f746b68482c8a"),
"_id" : ObjectId("53580ff62e868947708073ac"),
"required" : true,
"quantity" : 1,
"userId" : [
ObjectId("53554b56e3a1e1dc17db903f")
]
},...
And I want to do is create a query that returns all courses that have a specific userId in the userId array that is in the steps array for a specific userId. I've tried using $elemMatch like so
Course.find({
"steps": {
"$elemMatch": {
"userId": {
"$elemMatch": "53554b56e3a1e1dc17db903f"
}
}
}
},
But It seems to be returning a empty document.
I think this will work for you, you have the syntax off a bit plus you need to use ObjectId():
db.Course.find({ steps : { $elemMatch: { userId:ObjectId("53554b56e3a1e1dc17db903f")} } })
The $elemMatch usage is not necessary unless you actually have compound sub-documents in that nested array element. And also is not necessary unless the value being referenced could possibly duplicate in another compound document.
Since this is an ObjectId we are talking about, then it's going to be unique, at least within this array. So just use the "dot-notation" form:
Course.find({
"steps.userId": ObjectId("53554b56e3a1e1dc17db903f")
},
Go back and look at the $elemMatch documentation. In this case, the direct "dot-notation" form is all you need
Scenario: I have a collection 'People' with following documents
{
"_id" : ObjectId("512bc95fe835e68f199c8686"),
"name": "David",
"age" : 78
},
{ "_id" : ObjectId("512bc962e835e68f199c8687"),
"name" : "Dave",
"age" : 35
}
When I query using following code from Node.js
db.articles.aggregate(
{ $match : { author : "Dave" } }
);
The output will be like:
{ "_id" : ObjectId("512bc962e835e68f199c8687"),
"name" : "Dave",
"age" : 35
}
Issues: The above is just a sample of the actual scenario, I want the 'age' filed value to be embedded in double quotes i.e for above quoted example it should be like "age": "35".
That is full resultant document should be like following:
{ "_id" : ObjectId("512bc962e835e68f199c8687"),
"name" : "Dave",
"age" : "35"
}
Consider I have huge number of documents how efficiently I can achieve the same to get the desired output?
Question: Can someone help out with bright and efficient way to achieve the same?