I'm writing a nodejs 5.7.1 application with aws-sdk for DynamoDB.
I have a table of events that I created with the following code:
var statsTableName='bingodrive_statistics';
var eventNameColumn = 'event_name';
var eventTimeColumn = 'event_time';
var eventDataColumn = 'event_data';
var params = {
TableName: statsTableName,
KeySchema: [ // The type of of schema. Must start with a HASH type, with an optional second RANGE.
{ // Required HASH type attribute
AttributeName: eventNameColumn,
KeyType: 'HASH',
},
{ // Optional RANGE key type for HASH + RANGE tables
AttributeName: eventTimeColumn,
KeyType: 'RANGE',
}
],
AttributeDefinitions: [ // The names and types of all primary and index key attributes only
{
AttributeName: eventNameColumn,
AttributeType: 'S', // (S | N | B) for string, number, binary
},
{
AttributeName: eventTimeColumn,
AttributeType: 'N'
}
],
ProvisionedThroughput: { // required provisioned throughput for the table
ReadCapacityUnits: 1,
WriteCapacityUnits: 1,
}
};
dynamodbClient.createTable(params, callback);
as you can see, I have a Hash + Range index. the range is on event_time.
now I want to scan or query for all the items between two specific dates.
so i'm sending the following params to the query function of dynamoDb:
{
"TableName": "bingodrive_statistics",
"KeyConditionExpression": "event_time BETWEEN :from_time and :to_time",
"ExpressionAttributeValues": {
":from_time": 1457275538691,
":to_time": 1457279138691
}
and i'm getting this error:
{
"message": "Query condition missed key schema element",
"code": "ValidationException",
"time": "2016-03-06T15:46:06.862Z",
"requestId": "5a672003-850c-47c7-b9df-7cd57e7bc7fc",
"statusCode": 400,
"retryable": false,
"retryDelay": 0
}
I'm new to dynamoDb. I don't know what's the best method, Scan or Query in my case. any information regarding the issue would be greatly appreciated.
You should use query. You can't use only range key if you want to query for values between two range keys, you need to use hash key as well since range key. It's because hash key (partition key) is used to select a physical partition where the data is stored, sorted by range key (sort key). From DynamoDB developer guide:
If the table has a composite primary key (partition key and sort key), DynamoDB calculates the hash value of the partition key in the same way as described in Data Distribution: Partition Key—but it stores all of the items with the same partition key value physically close together, ordered by sort key value.
Also, you should choose partition key that distributes well your data. If evenName has small total number of values, it might not be the best option (See Guidelines For Tables]
That said, if you already have eventName as your hash key and eventTime as your range Key, you should query (sorry for pseudo code, I use DynamoDBMapper normally):
hashKey = name_of_your_event
conditions = BETWEEN
attribute_values (eventTime1, eventTime2)
You don't need additional Local Secondary Index or Global Secondary Index for that. Note that GSI let's you query for columns that are not indexed with the table hash and range key, but to query data between the timestamps, you will still need a range key or will need to do a Scan otherwise.
Use this query
function getConversationByDate(req , cb) {
var payload = req.all; //05/09/2017
var params = {
TableName: "message",
IndexName: "thread_id-timestamp-index",
KeyConditionExpression: "#mid = :mid AND #time BETWEEN :sdate AND :edate",
ExpressionAttributeNames: {
"#mid": "thread_id",
"#time": "timestamp"
},
ExpressionAttributeValues: {
":mid": payload.thread_id,
":sdate": payload.startdate,
":edate": payload.enddate
}
};
req.dynamo.query(params, function (err, data) {
cb(err, data);
});
}
Related
I have a NodeJS function that scan a table in DynamoDB (without primary sort key) and return the number of elements of the column sync that are null.
My table:
var params = {
AttributeDefinitions: [
{
AttributeName: "barname",
AttributeType: "S"
},
{
AttributeName: "timestamp",
AttributeType: "S"
}
],
KeySchema: [
{
AttributeName: "barname",
KeyType: "HASH"
},
{
AttributeName: "timestamp",
KeyType: "RANGE"
}
],
ProvisionedThroughput: {
ReadCapacityUnits: 1,
WriteCapacityUnits: 1
},
TableName: tableName
};
The function that count when sync==false
var dynamodb = new AWS.DynamoDB({apiVersion: '2012-08-10'});
async function getCountNoSync(type){
console.log(type)
var params = {
TableName: tableName,
FilterExpression: 'sync = :sync and billing = :billing',
ExpressionAttributeValues: {
':billing' : {S: type},
':sync' : {BOOL: false}
},
};
var count = 0;
await dynamodb.scan(params).promise()
.then(function(data){
count = data.Count;
})
.catch(function(err) {
count = 0;
console.log(err);
});
return count;
}
The function works fine If a have few elements in my table (eg. less than 150). If the number of elements are higher, the count variable is always 0. It loooks like the scan do not find all elements.
Any ideia?
Best regards
The reason that you do not find all the items where attribute sync == null is that the scan operation is only reading part of your table.
As the documentation states:
If the total number of scanned items exceeds the maximum dataset size limit of 1 MB, the scan stops and results are returned to the user as a LastEvaluatedKey value to continue the scan in a subsequent operation.
So if your table is several hundred of megabytes big, you need to call scan() multiple times and provide the LastEvaluatedKey to read the next "page" of your table. This process is also called "pagination".
But this will take a lot of time and the time this needs will just increase with your table size. The proper way of doing this would be to create an index of the sync field and then do a query() on that index.
You can read more about that in the AWS documentation:
Querying and Scanning a DynamoDB Table
Reference documentation for scan()
Paginating the Results
I am using the node aws-sdk, I have implemented a method to create or update an item in DynamoDb.
It works well based of off the Key (Id), and will either created or update the item.
My params are as follows:
let params = {
TableName: TableName,
Key: {
key: args.key
},
UpdateExpression: `set
userKey = :userKey,
content = :content`,
ExpressionAttributeValues: {
':userKey': args.userKey,
':content': args.content
},
ExpressionAttributeNames: {
}
};
I have since realised I need to conditionally check a secondary key on the update to ensure the userKey matches.
So I added:
ConditionExpression: 'userKey = :userKey',
Now the create doesn't work as it fails the condition, what is the correct way to do the create and conditional update in one statement?
My table definitionas are as follows:
AttributeDefinitions:
- AttributeName: key
AttributeType: S
- AttributeName: userKey
AttributeType: S
- AttributeName: timestamp
AttributeType: N
KeySchema:
- AttributeName: key
KeyType: HASH
You've got two options-
If you userKey is actually the sort key (https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/HowItWorks.CoreComponents.html) of the table, then you can change your params as such:
Key: {
key: args.key
userKey: args.userKey
}
However if userKey is just another attribute, then you can extend the condition expression as such:
ConditionExpression: 'userKey = :userKey OR attribute_not_exists(userKey)'
Which will require either that userKey matches what you were expecting, or that it hasn't been set at all (which would be the case on an upsert).
Note- this would allow you to update an item with a key that did not also have a userKey. If you're concerned about that then you can extend the condition to:
ConditionExpression: 'userKey = :userKey OR(attribute_not_exists(key) AND attribute_not_exists(userKey))'
I am trying to query a dynamo table with latitude and longitude for various locations. I want to get the values between certain coordinates as a user pans on the map.
The primary key for the table is city and the sort key is id. I created a global secondary index with lat as the partition key and lon as the sort key (to query for locations between two points in latitude and longitude).
I am trying to use this query:
let doc = require('dynamodb-doc');
let dynamo = new doc.DynamoDB();
...
var params = {
TableName : "locations-dev",
IndexName: "lat-lon-index",
KeyConditionExpression: "lon between :lon2 and :lon1 AND lat between :lat1 and :lat2",
ExpressionAttributeValues: {
":lat1": JSON.stringify(event.bodyJSON.east),
":lat2": JSON.stringify(event.bodyJSON.west),
":lon1": JSON.stringify(event.bodyJSON.north),
":lon2": JSON.stringify(event.bodyJSON.south)
}
};
dynamo.query(params, function (err, data) {
if (err) {
console.error('Error with ', err);
context.fail(err);
} else {
context.succeed(data);
}
});
But I am getting this error:
{
"errorMessage": "Query key condition not supported",
"errorType": "ValidationException",
"stackTrace": [
...
]
}
Here is an example item in Dynamo:
{
"id": "18",
"lat": "39.923070",
"lon": "-86.036178",
"name": "Home Depot",
"phone": "(317)915-8534",
"website": "https://corporate.homedepot.com/newsroom/battery-recycling-one-million-pounds"
}
Primary keys (even in secondary indices) in DynamoDB can only be queried with equals criteria. This constraint is derived from its internal representation since it is stored as hashed value to identify its item partition. Those hashed values cannot be queried by range.
Choosing the Right DynamoDB Partition Key
Except for scan, DynamoDB API operations require an equal operator
(EQ) on the partition key for tables and GSIs. As a result, the
partition key must be something that is easily queried by your
application with a simple lookup (for example, using key=value, which
returns either a unique item or fewer items).
I have this table:
DomainId string HashKey
EmailId string RangeKey
I was wondering if it's possible query this table with HashKey only, like this:
var AWS = require("aws-sdk");
var client = new AWS.DynamoDB.DocumentClient();
var dm = 'infodinamica.cl';
//Set params
var params = {
TableName : 'table-name',
KeyConditionExpression: "DomainId = :dm",
ExpressionAttributeValues: {
":dm": dm
},
Select: 'COUNT'
};
client.query(params, (err, data) => {
if(err)
console.log(JSON.stringify(err, null, 2));
else
console.log(JSON.stringify(data, null, 2));
}
ps: note that this table has HashKey and RangeKey.
Yes, it is possible to query the data using Hash Key only using query API.
Use the KeyConditionExpression parameter to provide a specific value
for the partition key. The Query operation will return all of the
items from the table or index with that partition key value. You can
optionally narrow the scope of the Query operation by specifying a
sort key value and a comparison operator in KeyConditionExpression.
You can use the ScanIndexForward parameter to get results in forward
or reverse order, by sort key.
I am trying to do a put item on a Dynamo Table using the nodejs sdk. I tried using the same document and a few other variations but nothing seems to work. Everytime I receive the same error:
"message":"Invalid attribute value type"
"code":"ValidationException"
"time":"2016-10-11T06:32:26.361Z"
"statusCode":400
"retryable":false
The following is the relevant code snippet:
var params = {
TableName: "MY_Table_Name",
Item: {
"stringAtt": "stringValue",
"boolAtt": true,
"numAtt": 123,
},
};
docClient.put(params, function(err, data) {
if (err) ppJson(err); // an error occurred
else ppJson(data); // successful response
});
My table's indexes are as follows:
Primary: Partition Key: stringAtt, Sort Key: boolAtt
GSI: Partition Key: boolAtt, Sort Key: numAtt
I am not sure if it's my query or the index structure that is wrong.
The BOOL data type can't be a key attribute (i.e. Partition or Sort key). The Partition or Sort key data type can be of three types (listed below). If you have created the table with Sort key of type 'B', it means that sort key is of type Binary (i.e. not Bool).
EDIT: You can't use a BOOL attribute as the partition or sort key in a GSI as well.
AttributeType: 'S | N | B'
S - the attribute is of type String
N - the attribute is of type Number
B - the attribute is of type Binary
When the table is created with key of type BOOL, the API would throw the below exception.
Unable to create table. Error JSON: {
"message": "Member must satisfy enum value set: [B, N, S]",
"code": "ValidationException",