sharding

问题 Does RabbitMQ call the callback function for a consumer when it has some message for it, or does the consumer have to poll the RabbitMQ client? So on the consumer side, if there is a PHP script, can RabbitMQ call it and pass the message/parameters to it. e.g. if rating is submitted on shard 1 and the aggregateRating table is on shard 2, then would RabbitMQ consumer on shard 2 trigger the script say aggRating.php and pass the parameters that were inserted in shard 1? 回答1: What you want is

问题 I have an ES cluster with 4 nodes: number_of_replicas: 1 search01 - master: false, data: false search02 - master: true, data: true search03 - master: false, data: true search04 - master: false, data: true I had to restart search03, and when it came back, it rejoined the cluster no problem, but left 7 unassigned shards laying about. { "cluster_name" : "tweedle", "status" : "yellow", "timed_out" : false, "number_of_nodes" : 4, "number_of_data_nodes" : 3, "active_primary_shards" : 15, "active

问题 Using the following query when I create the collection I set two shards for the collection10 . /solr/admin/collections?action=CREATE&name=collection10&numShards=2&replicationFactor=2 But what is my requirement is, I have to add 3rd shard dynamically after 10000 documents has been indexed in first two shards. Is it possible to add shards dynamically once we started the collection and indexing at existing shards? If it possible means how to add shards dynamically once after we started the

问题 In the CosmosDB documentation, Microsoft hints at a throughput limit on a single partition, but does not specify the limit. We is the limit?. Here is the relevant documentation: https://docs.microsoft.com/en-us/azure/cosmos-db/partition-data And the relevant quote: Behind the scenes, Azure Cosmos DB provisions partitions needed to serve T requests/s. If T is higher than the maximum throughput per partition t, then Azure Cosmos DB provisions N = T/t partitions. 回答1: Doesn't explicitly answer

问题 I'm trying to learn some MongoDB and want to mount a two sharded DB for distributing my data between these two "nodes" and take advantage of its efficiency and robustness. I'm also working over Docker. So in docker I created 4 VMs with their respective IPs: mongo1(172.17.0.6): first db to use as shard mongo2(172.17.0.5): second db to use as shard mongocfg(172.17.0.4): a config image for the whole system mongorouter(172.17.0.3): the router to access both other shards; the whole db If you're

问题 I have an Amazon Kinesis stream, consisting of multiple shards. The number of shards, and therefore the number of consumers, is not a constant. There is an infrequent type of event that I want broadcasted to every consumer on the stream. Is there a way for a producer to broadcast a record, i.e. to discover the shards and put the record on each one? 回答1: You can do this! Kind of... The trick it to use the parameter "ExplicitHashKey". This lets you set the hash key used for the record, and

问题 I need to get a list of chunks after sharding inside my Java code. My code is simple and looks like this: Mongo m = new Mongo( "localhost" , 27017 ); DB db = m.getDB( "admin" ); Object cr = db.eval("db.printShardingStatus()", 1); A call of eval() returns an error: Exception in thread "main" com.mongodb.CommandResult$CommandFailure: command failed [$eval]: { "serverUsed" : "localhost/127.0.0.1:27017" , "errno" : -3.0 , "errmsg" : "invoke failed: JS Error: ReferenceError: printShardingStatus is

问题 I'm trying to understand MongoDB and the concept of sharding. If we start with 2 nodes and partition say, customer data, based on last name where A thru M data is stored on node 1 and N thru Z data is stored on node 2. What happens when we want to scale out and add more nodes? I just don't see how that will work. 回答1: If you have 2 nodes it doesn't mean that data is partitioned into 2 chunks. It can by partitioned to let's say 10 chunks and 6 of them are on server 1 ane rest is on server 2.

问题 I am using Postgresql with citus extension for sharding and unable to shard tables like below. Below table has a primary key and 2 unique keys. I am trying to shard against column with primary key i.e pid . Note : I am not allowed to change the table structure. These tables are created by tool. CREATE TABLE person ( pid bigint NOT NULL, name character varying(100), address_pid bigint NOT NULL, address_type character varying(100), CONSTRAINT id_pkey PRIMARY KEY (pid), CONSTRAINT addr_id UNIQUE

问题 I'm using Google App Engine's datastore and looking for a design solution for "like" functionality for user's status (similair to Facebook "likes") I've gone through the Sharding Counters concepts (https://developers.google.com/appengine/articles/sharding_counters) and found its good and suitable for counting number of likes where you can increment or decrement the count. But I want to store the userId who liked the status. So I tried the same sharding concepts to store userIds but facing the