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R Orchestrator

Enterprise

Image$DATAOPS_R_RUNNER_IMAGE

The R orchestrator incorporates r-base version 4.2 to execute R scripts in a DataOps pipeline and includes several helpful R libraries, such as:

  • DBI
  • devtools
  • dplyr
  • odbc
  • pracma
  • plyr
  • RJDBC
  • syuzhet
  • tidyvers

Usage​

You can create your own scripts in your repo e.g. /scripts/myscript.r and run this from a job. For example:

pipelines/includes/local_includes/r_jobs/my_r_job.yml
"My R Job":
  extends:
    - .agent_tag
  stage: "My Stage"
  image: $DATAOPS_R_RUNNER_IMAGE
  variables:
  script:
    - R my-script.r
  icon: ${R_ICON}

Supported parameters​

None

Example jobs​

Running a basic script​

pipelines/includes/local_includes/r_jobs/my_r_job.yml
"My R Job":
  extends:
    - .agent_tag
  stage: "Additional Configuration"
  image: $DATAOPS_R_RUNNER_IMAGE
  variables:
    SCRIPT_PATH: $CI_PROJECT_DIR/scripts/my-script.r
  script:
    - R $SCRIPT_PATH
  icon: ${R_ICON}

If you need access to the DataOps vault, include /dataops in your script tag. For example:

script:
  - /dataops
  - R /scripts/myscript.r

And your script will be able to read from and write to the vault.

Using the Snowflake JDBC connector​

In this example, you'll see how to use the Snowflake JDBC connector within the R orchestration framework, specifically with the driver named snowflake-jdbc-3.jar following the new naming convention.

JDBC_example.r
# Load the required libraries
library("RJDBC")
library(pracma)
library(plyr)

# Set Java options for memory allocation
options(java.parameters = "-Xmx4g")
options(scipen = 999)

# Fetch environment variables for Snowflake connection
user_id <- Sys.getenv('USERID')
pass_word <- Sys.getenv('USER_PWD')
account <- Sys.getenv('ACCOUNT')
database <- Sys.getenv('DATABASE')

# Define the Snowflake JDBC driver and classpath
jdbcDriver <- JDBC(driverClass = "net.snowflake.client.jdbc.SnowflakeDriver", classPath = "/JDBC/snowflake-jdbc-3.jar")

# Construct the connection string
connect_string <- sprintf("jdbc:snowflake://%s.snowflakecomputing.com/?db=%s", account, database)

# Establish the JDBC connection to Snowflake
jdbcConnection <- dbConnect(jdbcDriver, connect_string, user_id, pass_word)

# Define the SQL query to retrieve data
sql_command <- "SELECT TOP 50 * FROM SNOWFLAKE_SAMPLE_DATA.TPCH_SF1.CUSTOMER"

# Execute the query and store the results
results.var <- dbGetQuery(jdbcConnection, sql_command)

# Print the retrieved results
print(results.var)

# Close the JDBC connection
dbDisconnect(jdbcConnection)

Here's the job configuration to use R script using DATAOPS_RUN_R_SCRIPT:

pipelines/includes/local_includes/r_jobs/my_r_job.yml
"r-orchestrator Script Execution":
  extends:
    - .agent_tag
  stage: "Version and Setup Check"
  image: $DATAOPS_R_RUNNER_IMAGE
  variables:
    DATAOPS_RUN_R_SCRIPT: $CI_PROJECT_DIR/scripts/JDBC_example.r
    USERID: <SNOWFLAKE_USER>
    USER_PWD: <SNOWFLAKE_PASSWORD>
    ACCOUNT: <SNOWFLAKE_ACCOUNT>
    ROLE: <SNOWFLAKE_ROLE>
    WAREHOUSE: <SNOWFLAKE_WAREHOUSE>
  script:
    - /dataops
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