Skip to content

[MINOR] Fixing spark long running yaml for non-partitioned #5607

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
nsivabalan merged 1 commit into from
May 17, 2022
Merged

[MINOR] Fixing spark long running yaml for non-partitioned #5607

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
11 changes: 5 additions & 6 deletions docker/demo/config/test-suite/spark-long-running-non-partitioned.yaml
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -14,24 +14,24 @@
# See the License for the specific language governing permissions and
# limitations under the License.
dag_name: cow-spark-deltastreamer-long-running-multi-partitions.yaml
dag_rounds: 6
dag_intermittent_delay_mins: 0
dag_rounds: 10
dag_intermittent_delay_mins: 1
dag_content:
first_insert:
config:
record_size: 200
num_partitions_insert: 1
repeat_count: 1
num_records_insert: 10000
num_records_insert: 1000
type: SparkInsertNode
deps: none
first_upsert:
config:
record_size: 200
num_partitions_insert: 1
num_records_insert: 300
num_records_insert: 1000
repeat_count: 1
num_records_upsert: 3000
num_records_upsert: 1000
num_partitions_upsert: 1
type: SparkUpsertNode
deps: first_insert
Expand All @@ -43,7 +43,6 @@ dag_content:
deps: first_upsert
second_validate:
config:
validate_once_every_itr : 3
validate_hive: false
delete_input_data: true
type: ValidateDatasetNode
Expand Down