[beam] branch master updated: Revert & improve error message that advises to use unsupported experiment

[ke...@apache.org]

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kenn pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/beam.git


The following commit(s) were added to refs/heads/master by this push:
     new 375aee5  Revert & improve error message that advises to use unsupported experiment
     new c8bceba  Merge pull request #8122: Revert error message that advises to use unsupported experiment
375aee5 is described below

commit 375aee532b64a327b5451a20111e8c82c6249653
Author: Kenneth Knowles <kl...@google.com>
AuthorDate: Fri Mar 22 13:47:30 2019 -0700

    Revert & improve error message that advises to use unsupported experiment
---
 .../main/java/org/apache/beam/runners/dataflow/DataflowRunner.java  | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/runners/google-cloud-dataflow-java/src/main/java/org/apache/beam/runners/dataflow/DataflowRunner.java b/runners/google-cloud-dataflow-java/src/main/java/org/apache/beam/runners/dataflow/DataflowRunner.java
index 2297f4c..d7b231e 100644
--- a/runners/google-cloud-dataflow-java/src/main/java/org/apache/beam/runners/dataflow/DataflowRunner.java
+++ b/runners/google-cloud-dataflow-java/src/main/java/org/apache/beam/runners/dataflow/DataflowRunner.java
@@ -897,9 +897,9 @@ public class DataflowRunner extends PipelineRunner<DataflowPipelineJob> {
         if (Utf8.encodedLength(newJob.toString()) >= CREATE_JOB_REQUEST_LIMIT_BYTES) {
           errorMessages =
               "The size of the serialized JSON representation of the pipeline "
-                  + "exceeds the allowable limit for the API. Use experiment "
-                  + "'upload_graph' (--experiments=upload_graph) to direct the runner to "
-                  + "upload the JSON to your GCS staging bucket instead of embedding in the API request.";
+                  + "exceeds the allowable limit. "
+                  + "For more information, please see the documentation on job submission:\n"
+                  + "https://cloud.google.com/dataflow/docs/guides/deploying-a-pipeline#jobs";
         } else {
           errorMessages = e.getDetails().getMessage();
         }