Github user jodersky commented on a diff in the pull request:

    https://github.com/apache/spark/pull/12557#discussion_r60626992
  
    --- Diff: repl/src/main/scala/org/apache/spark/repl/Signaling.scala ---
    @@ -0,0 +1,42 @@
    +/*
    + * 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
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    + * 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.spark.repl
    +
    +import org.apache.spark.SparkContext
    +import org.apache.spark.internal.Logging
    +import org.apache.spark.util.{Signaling => USignaling}
    +
    +private[repl] object Signaling extends Logging {
    +
    +  /**
    +   * Register a SIGINT handler, that terminates all active spark jobs or 
terminates
    +   * when no jobs are currently running.
    +   * This makes it possible to interrupt a running shell job by pressing 
Ctrl+C.
    +   */
    +  def cancelOnInterrupt(ctx: SparkContext): Unit = 
USignaling.register("INT") {
    +    if (!ctx.statusTracker.getActiveJobIds().isEmpty) {
    +      logWarning("Cancelling all active jobs, this can take a while. " +
    +        "Press Ctrl+C again to exit now.")
    --- End diff --
    
    Oh, I think I missunderstood your comment, are you proposing of dropping
    the in-job condition and always catch a C-c?
    In that case I'm not sure that I agree, since the main purpose of a sigint
    is to interrupt a process. Killing jobs first and catching the signal is a
    compromise for convenience. Imagine a spark shell that is stuck in some
    arbitrary user code (not running a spark job), in that case C-c should imo
    still exit the process.
    On Apr 21, 2016 10:51 AM, "Jakob Odersky" <ja...@odersky.com> wrote:
    
    > C-d is slightly different in that it just emits an end-of-transmission
    > (eot) character to the active terminal.
    > When the shell is running a job, it cannot listen to input and hence C-d
    > has no effect.
    >
    > C-c on the other hand, sends an asynchronous signal by the host operating
    > system, which will be executed by the signal handler in a separate thread
    > and thus be able to stop running jobs.
    > On Apr 21, 2016 10:13 AM, "Davies Liu" <notificati...@github.com> wrote:
    >
    > In repl/src/main/scala/org/apache/spark/repl/Signaling.scala
    > <https://github.com/apache/spark/pull/12557#discussion_r60619566>:
    >
    > > +
    > > +import org.apache.spark.SparkContext
    > > +import org.apache.spark.internal.Logging
    > > +import org.apache.spark.util.{Signaling => USignaling}
    > > +
    > > +private[repl] object Signaling extends Logging {
    > > +
    > > +  /**
    > > +   * Register a SIGINT handler, that terminates all active spark jobs 
or terminates
    > > +   * when no jobs are currently running.
    > > +   * This makes it possible to interrupt a running shell job by 
pressing Ctrl+C.
    > > +   */
    > > +  def cancelOnInterrupt(ctx: SparkContext): Unit = 
USignaling.register("INT") {
    > > +    if (!ctx.statusTracker.
    > getActiveJobIds().isEmpty) {
    > > +      logWarning("Cancelling all active jobs, this can take a while. " 
+
    > > +        "Press Ctrl+C again to exit now.")
    >
    > We can type Ctrl+D to quit the shell, should we always use Ctrl+C to
    > cancel the running job and clear the current line input?
    >
    > —
    > You are receiving this because you were mentioned.
    > Reply to this email directly or view it on GitHub
    > 
<https://github.com/apache/spark/pull/12557/files/4f9bf695344a5c4c54372eaa6bf54af0d2da1f74#r60619566>
    >
    >



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