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https://issues.apache.org/jira/browse/DRILL-5716?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16194363#comment-16194363
 ] 

ASF GitHub Bot commented on DRILL-5716:
---------------------------------------

Github user arina-ielchiieva commented on a diff in the pull request:

    https://github.com/apache/drill/pull/928#discussion_r143149580
  
    --- Diff: 
exec/java-exec/src/main/java/org/apache/drill/exec/work/foreman/rm/AbstractResourceManager.java
 ---
    @@ -0,0 +1,68 @@
    +/*
    + * Licensed to the Apache Software Foundation (ASF) under one
    + * or more contributor license agreements.  See the NOTICE file
    + * distributed with this work for additional information
    + * regarding copyright ownership.  The ASF licenses this file
    + * to you under the Apache License, Version 2.0 (the
    + * "License"); you may not use this file except in compliance
    + * with the License.  You may obtain a copy of the License at
    + *
    + * http://www.apache.org/licenses/LICENSE-2.0
    + *
    + * Unless required by applicable law or agreed to in writing, software
    + * distributed under the License is distributed on an "AS IS" BASIS,
    + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    + * See the License for the specific language governing permissions and
    + * limitations under the License.
    + */
    +package org.apache.drill.exec.work.foreman.rm;
    +
    +import org.apache.drill.common.config.DrillConfig;
    +import org.apache.drill.exec.ExecConstants;
    +import org.apache.drill.exec.server.DrillbitContext;
    +
    +/**
    + * Abstract base class for a resource manager. Handles tasks common to all
    + * resource managers: learning the resources available on this Drillbit.
    + * In the current version, Drillbits must be symmetrical, so that knowing
    + * the resources on one node is sufficient to know resources available on
    + * all nodes.
    + */
    +
    +public abstract class AbstractResourceManager implements ResourceManager {
    +
    +  protected final DrillbitContext context;
    +  private final long memoryPerNode;
    +  private final int cpusPerNode;
    +
    +  public AbstractResourceManager(final DrillbitContext context) {
    +    this.context = context;
    +    DrillConfig config = context.getConfig();
    +
    +    // Normally we use the actual direct memory configured on the JVM 
command
    +    // line. However, if the config param is set, we use that instead (if 
it is
    +    // lower than actual memory). Primarily for testing.
    +
    +    long memLimit = DrillConfig.getMaxDirectMemory();
    +    long configMemoryPerNode = 
config.getBytes(ExecConstants.MAX_MEMORY_PER_NODE);
    --- End diff --
    
    Nice, thanks for explanation.


> Queue-based memory assignment for buffering operators
> -----------------------------------------------------
>
>                 Key: DRILL-5716
>                 URL: https://issues.apache.org/jira/browse/DRILL-5716
>             Project: Apache Drill
>          Issue Type: Improvement
>    Affects Versions: 1.11.0
>            Reporter: Paul Rogers
>            Assignee: Paul Rogers
>              Labels: doc-impacting
>             Fix For: 1.12.0
>
>
> Apache Drill already has a queueing feature based on ZK semaphores. We did a 
> bit of testing to  show that the feature does, in fact work. We propose to 
> enhance the feature with some light revisions to make work with the "managed" 
> external sort and the newly-added spilling feature for the hash agg operator. 
> The key requirement is to build on what we have for now; we may want to 
> tackle a larger project to create a more complete solution later.
> Existing functionality:
> * Two ZK-based queues called the “small” and “large” query queues.
> * A threshold, call it T, given as a query cost, to determine the queue into 
> which a query will go.
> * Admit levels for the two queues: call them Qs and Ql.
> Basically, when a query comes in:
> * Plan the query as usual.
> * Obtain the final query cost from the planner, call this C.
> * If C<T, the query goes into the small queue, else it goes into the large 
> queue.
> * Suppose the small queue. Ask ZK if the query can run.
> * ZK checks if Qs queries are already running. If so, the query waits, else 
> the query runs.
> The proposed changes include:
> * Refactor the code to provide a queueing API that supports a variety of 
> queuing mechanisms.
> * Provide three: the null queue (default), an in-process queue (for testing) 
> and the ZK queues.
> * Modify the query profile web UI to show two new bits of information about 
> queues:
> - The queue to which the query was sent.
> - The total planning cost.
> * Modify the query profile web UI to show two memory assignment numbers:
> - Total memory allocated to the query
> - Memory per sort or hash-add operator
> Then, add to the queue mechanism the ability to do memory assignment:
> * Provide a weight, W: every small query gets 1 unit, every large query gets 
> W units.
> * Use the queue admit levels to determine total units: U = Qs + W * Ql.
> * Obtain total direct memory from the system. M.
> * Subtract a reserve percent R for overhead.
> * Do the math to get the memory per query for each query:
> * For the small queue: (M - R) / U
> * For the large queue: (M - R) / U * W
> * Use this memory amount as the “memory per query” number in the existing 
> sort/hash-agg memory assignment (instead of the fixed 2 GB.)
> The result will be a nice incremental addition to what we already have, and 
> should make it a bit easier people to actually use the feature (because they 
> can see the planning numbers and see the queues used, allowing them to 
> effectively tune the system.)
> The API used for the above features also allow third parties to add on a more 
> robust admission control feature as needed, perhaps tying into an existing 
> queueing mechanism of their choice.



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