ss-collect | 免费ss节点收集以及对节点进行Ping测试

So the best thing to do is to remove create-react-app globally using npm uninstall create-react-app -g or yarn global remove create-react-app because that is likely the reason you're seeing this error message:

This is likely because you're using an outdated version of create-react-app. Please note that global installs of create-react-app are no longer supported.

Once you've removed it, please note you don't need to install create-react-app globally to initialize a new project, its recommended you use the npx package runner tool that comes with at least node 5.2 and above. So npx will basically allow you to run a package without installing it, so on your case create-react-app.

So to create a new project, just type in : npx create-react-app myapp and that will initialize your react app.

values is actually of type ScriptDocValues (an abstract subclass of AbstractList). For a field typed with long, the actual concrete implementation is ScriptDocValues.Longs.

So to answer your question, under the hood, the .contains() method will simply delegate to AbstractCollection.contains() which calls .equals() under the hood. This is why doc['sth'].values.contains(1) fails while doc['sth'].values.contains(1L) succeeds.

As you can see, the values are internally stored in a long array (primitive type). However, the get() method returns a Long (boxed type) in order to satisfy the AbstractList contract and the getValue() returns a primitive long unboxed from the call to get(). This is why both doc['sth'].values[0] == 1 and doc['sth'].values[0] == 1L succeed.

If you call get() and there's no doc value, you'll get an IllegalStateException stating that you should...

use doc[].size()==0 to check if a document is missing a field!

Replace the part following

//Please Help...

with the following:

This should get you going:

Firstly make sure that you exactly follow the instructions on Move a team project collection.

Base on the thread you mentioned and your description, the problem should be that the default process templates in tfs_configuration of the new install had IDs that didn't match the projects in the new collection.

So, you can try to backup the DBs first.

Then try to update the corresponding CurrentProcessTemplateId for the moved team project to match the ID retrieved from tfs_configuration, that means update the table: [Tfs_DefaultCollection].[dbo].[tbl_project_properties]. As update the tfs_configuration may cause problems for other three collections.

e.g.:

Things started getting interesting when I started playing around with MaxDegreeOfParellelism and MaxBufferedItemCount. The TentantID collection query times were generally unaffected because the query wasn't cross-collection, however the GUID collection sped up considerably, reaching values as fast as 450 ms (MaxDegreeOfParellelism = 2000, MaxBufferedItemCount = 2000).

MaxDegreeOfParallelism could set the maximum number of concurrent tasks enabled by ParallelOptions instance. As I known, this is a client side parallelism and it would cost your CPU / Memory resources that you have on your site.

Given these observations, why would you not want to make the PartitionKey as broad a value as possible?

For write operations, we could scale across partition keys, in order to use the throughout that you have provisioned. While for read operations, we need to minimize cross-partition lookups for a lower latency.

Also, as this official document mentioned:

The choice of the partition key is an important decision that you have to make at design time. You must pick a property name that has a wide range of values and has even access patterns.

It is a best practice to have a partition key with many distinct values (100s-1000s at a minimum).

To achieve the full throughput of the container, you must choose a partition key that allows you to evenly distribute requests among some distinct partition key values.

For more details, you could refer to How to partition and scale in Azure Cosmos DB and this channel 9 tutorial about Azure DocumentDB Elastic Scale - Partitioning.