/// <summary>
/// Create a post trigger that updates metadata: for each inserted doc it will look at doc.size
/// and update aggregate properties: { minSize, maxSize, totalSize } in the metadata doc.
/// In the end print to show the aggregate values of min, max, total for all docs.
/// </summary>
private static async Task RunPostTrigger(string collectionLink)
{
Random rnd = new Random();
// 1. Create a trigger.
string triggerPath = @"js\UpdateMetadata.js";
string triggerId = Path.GetFileNameWithoutExtension(triggerPath);
string triggerBody = File.ReadAllText(triggerPath);
Trigger trigger = new Trigger
{
Id = Path.GetFileName(triggerId),
Body = triggerBody,
TriggerOperation = TriggerOperation.Create,
TriggerType = TriggerType.Post
};
await TryDeleteTrigger(collectionLink, trigger.Id);
await client.CreateTriggerAsync(collectionLink, trigger);
// 2. Create the metadata document.
var aggregateEntry = new LoggingAggregateEntry
{
Id = "Device001_metadata",
IsMetadata = true,
MinSize = 0,
MaxSize = 0,
TotalSize = 0,
DeviceId = "Device001"
};
await client.CreateDocumentAsync(collectionLink, aggregateEntry);
// 3. Import a number of docs with trigger. Use client API this time, we already have sample fot using script.
var requestOptions = new RequestOptions {
PostTriggerInclude = new List <string> {
triggerId
}
};
for (int i = 0; i < 4; i++)
{
await client.CreateDocumentAsync(
collectionLink,
new LoggingEntry { DeviceId = "Device001", Size = rnd.Next(1000) },
requestOptions);
}
// 4. Print aggregate info from the metadata document.
aggregateEntry = client.CreateDocumentQuery <dynamic>(
collectionLink,
"SELECT * FROM root r WHERE r.isMetadata = true",
new FeedOptions {
PartitionKey = new PartitionKey("Device001")
}).AsEnumerable().First();
Console.WriteLine("Document statistics: min size: {0}, max size: {1}, total size: {2}",
aggregateEntry.MinSize,
aggregateEntry.MaxSize,
aggregateEntry.TotalSize);
}
/// <summary>
/// Create a post trigger that updates metadata: for each inserted doc it will look at doc.size
/// and update aggregate properties: { minSize, maxSize, totalSize } in the metadata doc.
/// In the end print to show the aggregate values of min, max, total for all docs.
/// </summary>
private static async Task RunPostTrigger(string collectionLink)
{
Random rnd = new Random();
// 1. Create a trigger.
string triggerPath = @"js\UpdateMetadata.js";
string triggerId = Path.GetFileNameWithoutExtension(triggerPath);
string triggerBody = File.ReadAllText(triggerPath);
Trigger trigger = new Trigger
{
Id = Path.GetFileName(triggerId),
Body = triggerBody,
TriggerOperation = TriggerOperation.Create,
TriggerType = TriggerType.Post
};
await TryDeleteTrigger(collectionLink, trigger.Id);
await client.CreateTriggerAsync(collectionLink, trigger);
// 2. Create the metadata document.
var aggregateEntry = new LoggingAggregateEntry
{
Id = "Device001_metadata",
IsMetadata = true,
MinSize = 0,
MaxSize = 0,
TotalSize = 0,
DeviceId = "Device001"
};
await client.CreateDocumentAsync(collectionLink, aggregateEntry);
// 3. Import a number of docs with trigger. Use client API this time, we already have sample fot using script.
var requestOptions = new RequestOptions { PostTriggerInclude = new List<string> { triggerId } };
for (int i=0; i < 4; i++)
{
await client.CreateDocumentAsync(
collectionLink,
new LoggingEntry { DeviceId = "Device001", Size = rnd.Next(1000) },
requestOptions);
}
// 4. Print aggregate info from the metadata document.
aggregateEntry = client.CreateDocumentQuery<dynamic>(
collectionLink,
"SELECT * FROM root r WHERE r.isMetadata = true",
new FeedOptions { PartitionKey = new PartitionKey("Device001") }).AsEnumerable().First();
Console.WriteLine("Document statistics: min size: {0}, max size: {1}, total size: {2}",
aggregateEntry.MinSize,
aggregateEntry.MaxSize,
aggregateEntry.TotalSize);
}
