Create a Schedule

POST /api/v1.2/scheduler/

This API creates a new schedule to run commands automatically at certain frequency in a specified interval.

Required Role

The following users can make this API call:

• Users who belong to the system-admin or system-user group.
• Users who belong to a group associated with a role that allows creating a schedule. See Managing Groups and Managing Roles for more information.

Parameters

Note

Parameters marked in bold below are mandatory. Others are optional and have default values.

Parameter	Description
command_type	A valid command type supported by Qubole. For example, HiveCommand, HadoopCommand, PigCommand.
command	JSON object describing the command. Refer to the command-api for more details. Sub fields can use macros. Refer to the Qubole Scheduler for more details.
start_time	Start datetime for the schedule. In the Cron expression, the scheduler calculates the Next Materialized Time (NMT)/Start time considering the current time as the base time and Cron expression passed. Start time is not honored in the Cron expression.
end_time	End datetime for the schedule
retry	Denotes the number of retries for a job. Valid values of retry are 1, 2, and 3. Caution Configuring retries will just do a blind retry of a Presto query. This may lead to data corruption for non-Insert Overwrite Directory (IOD) queries.
retry_delay	Denotes the time interval between the retries when a job fails.
frequency	Set this option or cron_expression but do not set both options. Specify how often the schedule should run. Input is an integer. For example, frequency of one hour/day/month is represented as {"frequency":"1"}
time_unit	Denotes the time unit for the frequency. Its default value is days. Accepted value is minutes, hours, days, weeks, or months.
cron_expression	Set this option or frequency but do not set both options. The standard cron format is “s, m, h, d, M, D, Y” where s is second, m is minute, M is month, d is date, and D is day of the week. Only year (Y) is optional. Example - "cron_expression":"0 0 12 * * ?". For more information, see Cron Trigger Tutorial.
name	A user-defined name for a schedule. If name is not specified, then a system-generated Schedule ID is set as the name.
label	Specify a cluster label that identifies the cluster on which the schedule API call must be run.
macros	Expressions to evaluate macros. Macros can be used in parameterized commands. Refer to the Macros in Scheduler page for more details.
no_catch_up	Set this parameter to true if you want to skip schedule actions that were supposed to have run in the past and run only the api/v2.0 schedule actions. By default, this parameter is set to false. When a new schedule is created, the scheduler runs schedule actions from start time to the current time. For example, if a daily schedule is created from Jun 1, 2015 on Dec 1, 2015, schedules are run for Jun 1, 2015, Jun 2, 2015, and so on. If you do not want the scheduler to run the missed schedule actions for months earlier to Dec, set no_catch_up to true. The main use of skipping a schedule action is if when you suspend a schedule and resume it later, in which case, there will be more than one schedule action and you might want to skip the earlier schedule actions. For more information, see Understanding the Qubole Scheduler Concepts.
time_zone	Timezone of the start and end time of the schedule. Scheduler will understand ZoneInfo identifiers. For example, Asia/Kolkata. For a list of identifiers, check column 3 in List of TZ in databases. Default value is UTC.
command_timeout	You can set the command timeout configurable in seconds. Its default value is 129600 seconds (36 hours) and any other value that you set must be less than 36 hours. QDS checks the timeout for a command every 60 seconds. If the timeout is set for 80 seconds, the command gets killed in the next minute that is after 120 seconds. By setting this parameter, you can avoid the command from running for 36 hours.
time_out	Unit is minutes. A number that represents a maximum amount of time the schedule should wait for dependencies to be satisfied.
concurrency	Specify how many schedule actions can run at a time. Default value is 1.
dependency_info	Describe dependencies for this schedule. Check the Hive Datasets as Schedule Dependency for more information.
notification	It is an optional parameter that is set to false by default. You can set it to true if you want to be notified through email about instance failure. notification provides more information.

notification

Parameter	Description
is_digest	It is a notification email type that is set to true if a schedule periodicity is in minutes or hours. If it set to false, the email type is immediate by default.
notify_failure	If this option is set to true, you receive schedule failure notifications.
notify_success	If this option is set to true, you receive schedule success notifications.
notification_channels	It is the Notification Channel id. To know more about how to get Notification Channel id, see Creating Notification Channels.

dependency_info

Parameter	Description
files	Use this parameter if there is dependency on S3 files and it has the following sub options. For more information, see Configuring GS Files Data Dependency.
	path	It is the S3 path of the dependent file (with data) based on which the schedule runs.
	window_start	It denotes the start day or time.
	window_end	It denotes the end day or time.
hive_tables	Use this parameter if there is dependency on Hive table data that has partitions. For more information, see Configuring Hive Tables Data Dependency.
	schema	It is the database that contains the partitioned Hive table.
	name	It is the name of the partitioned Hive table.
	window_start	It denotes the start day or time.
	window_end	It denotes the end day or time.
	interval	It denotes the dataset interval and defines how often the data is generated. Hive Datasets as Schedule Dependency provides more information. You must also specify the incremental time that can be in minutes, hours, days, weeks, or months. The usage is "interval":{"days":"1"}. The default interval is 1 day.
	column	It denotes the partitioned column name. You must specify the date-time mask through the_date parameter denotes how to convert from date to string for the partition. The usage is "columns":{"the_date":"<value>"}. The <value> can be a macro or a string.

Response

The response contains a JSON object representing the created schedule.

Note

There is a rerun limit for schedule reruns to be processed concurrently at a given point of time. Understanding the Qubole Scheduler Concepts provides more information.

Example 1

Goal: Create a new schedule to run Hive queries.

Use the following query as shown in the example below:

CREATE EXTERNAL TABLE daily_tick_data (
    date2 string,
    open float,
    close float,
    high float,
    low float,
    volume INT,
    average FLOAT)
PARTITIONED BY (
    stock_exchange STRING,
    stock_symbol STRING,
    year STRING,
    date1 STRING)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY ','
LOCATION 's3n://paid-qubole/default-datasets/stock_ticker';

date1 is the date in the format YYYY-MM-DD

The dataset is available from 2012-07-01.

For this example, let us assume that the dataset is updated everyday at 1AM UTC, and the schedules are scheduled at 2AM UTC, everyday.

The query shown below aggregates the data for every stock symbol, every day.

Command

curl -i -X POST -H "X-AUTH-TOKEN: $AUTH_TOKEN" -H "Accept: application/json" -H "Content-type: application/json" \
-d  '{
      "command_type":"HiveCommand",
      "command": {
                  "query": "select stock_symbol, max(high), min(low), sum(volume) from daily_tick_data where date1='$formatted_date$' group by stock_symbol"
                 },
      "macros": [
                {
                 "formatted_date": "Qubole_nominal_time.format('YYYY-MM-DD')"
                }
                ],
      "notification":{"is_digest": false,
                    "notification_channels" : [728, 400],
                    "notify_failure": true, "notify_success": false},
      "start_time": "2012-07-01T02:00Z",
      "end_time": "2022-07-01T02:00Z",
      "frequency": 1,
      "time_unit": "days",
      "time_out":10,
      "command_timeout":36000,
      "dependency_info": {}
      }' \
      "https://gcp.qubole.com/api/v1.2/scheduler"

Sample Response

{
 "time_out":10,
 "status":"RUNNING",
 "start_time":"2012-07-01 02:00",
 "label":"default",
 "concurrency":1,
 "frequency":1,
 "no_catch_up":false,
 "template":"generic",
 "command":{
            "sample":false,"loader_table_name":null,"md_cmd":null,"script_location":null,"approx_mode":false,"query":"select stock_symbol, max(high), min(low), sum(volume) from daily_tick_data where date1='$formatted_date$' group by stock_symbol","loader_stable":null,"approx_aggregations":false
           },
 "command_timeout":"36000"
 "time_zone":"UTC",
 "time_unit":"days",
 "end_time":"2022-07-01 02:00",
 "user_id":108,
 "macros":[{"formatted_date":"Qubole_nominal_time.format('YYYY-MM-DD')"}],
 "incremental":{},
 "command_type":"HiveCommand",
 "name":"3159",
 "dependency_info":{},
 "id":3159,
 "next_materialized_time":null
 "template": "generic",
 "pool": null,
 "label": "default",
 "is_digest": false,
 "can_notify": false,
 "digest_time_hour": 0,
 "digest_time_minute": 0,
 "email_list": "[email protected]",
 "bitmap": 0
}

Note the schedule ID (in this case 3159), which is used in other examples.

export SCHEDID=3159

Example 2

Here is an API sample request that has notification parameters set.

curl -i -X POST -H "X-AUTH-TOKEN: $AUTH_TOKEN" -H "Accept: application/json" -H "Content-type: application/json" \
-d  '{
      "command_type":"HiveCommand",
      "command": {
                  "query": "select stock_symbol, max(high), min(low), sum(volume) from daily_tick_data where date1='$formatted_date$' group by stock_symbol"
                 },
      "macros": [
                 {
                  "formatted_date": "Qubole_nominal_time.format('YYYY-MM-DD')"
                  }
                ],
      "notification":{"is_digest": true, "digest_time_hour":04, "digest_time_minute":30,
                      "notification_channels" : [728, 400],
                      "notify_failure": true, "notify_success": false}`,
       "start_time": "2012-07-01T02:00Z",
       "end_time": "2022-07-01T02:00Z",
       "frequency": 1,
       "time_unit": "days",
       "time_out":10,
       "dependency_info": {"wait_for_s3_files": [{file1: {start_time:}, {end_time:}, {file2: }]
       }' \
       "https://gcp.qubole.com/api/v1.2/scheduler"

Example 3

Here is an API sample request that has dependency on files on S3.

curl -i -X POST -H "X-AUTH-TOKEN: $AUTH_TOKEN" -H "Accept: application/json" -H "Content-type: application/json" \
-d  '{
      "command_type":"HiveCommand",
      "command": {
                  "query": "select stock_symbol, max(high), min(low), sum(volume) from daily_tick_data where date1='$formatted_date$' group by stock_symbol"
                 },
      "macros": [
                 {
                  "formatted_date": "Qubole_nominal_time.format('YYYY-MM-DD')"
                  }
                ],
      "notification":{"is_digest": true, "digest_time_hour":04, "digest_time_minute":30,
                      "notification_channels" : [728, 400],
                      "notify_failure": true, "notify_success": false}`,
       "start_time": "2012-07-01T02:00Z",
       "end_time": "2022-07-01T02:00Z",
       "frequency": 1,
       "time_unit": "days",
       "time_out":10,
       "dependency_info": {
                      "files": [
                            {
                             "path" : "s3://<your S3 bucket>/data/data1_30days/170614/",
                      "window_start": -29,
                      "window_end": 0
                      }
                     ]
                   }
       }' \
       "https://gcp.qubole.com/api/v1.2/scheduler"

Example 4

Here is an API sample request that has dependency on partitioned columns of a Hive table.

curl -i -X POST -H "X-AUTH-TOKEN: $AUTH_TOKEN" -H "Accept: application/json" -H "Content-type: application/json" \
-d  '{
      "command_type":"HiveCommand",
      "command": {
              "query": "select stock_symbol, max(high), min(low), sum(volume) from daily_tick_data where date1='$formatted_date$' group by stock_symbol"
             },
      "macros": [
             {
              "formatted_date": "Qubole_nominal_time.format('YYYY-MM-DD')"
              }
            ],
      "notification":{"is_digest": true, "digest_time_hour":04, "digest_time_minute":30,
                  "notification_channels" : [728, 400],
                  "notify_failure": true, "notify_success": false}`,
      "start_time": "2018-02-12 00:00",
      "end_time": "2021-02-12 00:00",
      "frequency": 12,
      "time_unit": “months”,
      "time_out":10,
      "dependency_info": {
                  "hive_tables":[
                  {"schema":"daily_tick_data","name":"daily_cluster_nodes","window_start":"-1","window_end":"-1","interval":{"days":"1"},"columns":{"dt":"%Y-%d","source”:[“”]}}]
     }' \
     "https://gcp.qubole.com/api/v1.2/scheduler"

Example 5

Here is an API sample request to schedule a workflow command.

curl -i -X POST -H "X-AUTH-TOKEN: $AUTH_TOKEN" -H "Accept: application/json" -H "Content-type: application/json" \
-d  '{
       "command_type": "CompositeCommand",
       "command": {
                "sub_commands":
                [{
                    "query": "select stock_symbol, max(high), min(low), sum(volume) from daily_tick_data where date1='$formatted_date$' group by stock_symbol",
                    "command_type": "HiveCommand"
                 },
                 {
                     "query": "select stock_symbol, max(high), min(low), sum(volume) from daily_tick_data where date2='$formatted_date$' group by stock_symbol",
                     "command_type": "HiveCommand"
                 }
                ]
       },

       "start_time": "2012-07-01T02:00Z",
       "end_time": "2022-07-01T02:00Z",
       "frequency": 1,
       "time_unit": "days",
       "time_out": 10,
       "dependency_info": {}
       }' \ "https://gcp.qubole.com/api/v1.2/scheduler"