diff --git a/docs/source/provider/resources/db_instance_pool.md b/docs/source/provider/resources/db_instance_pool.md
index fba4302d3..e2ef91357 100644
--- a/docs/source/provider/resources/db_instance_pool.md
+++ b/docs/source/provider/resources/db_instance_pool.md
@@ -19,10 +19,15 @@ cluster to use. Only clusters attached to a pool can use that pool’s idle inst
 .. code-block:: tf
 
     resource "db_instance_pool" "my-pool" {
-      instance_pool_name = "tushars-pool"
+      instance_pool_name = "demo-terraform-pool"
       min_idle_instances = 0
       max_capacity = 5
       node_type_id = "i3.xlarge"
+      aws_attributes {
+        availability = "ON_DEMAND"
+        zone_id = "us-east-1a"
+        spot_bid_price_percent = "100"
+      }
       idle_instance_autotermination_minutes = 10
       disk_spec = {
         ebs_volume_type = "GENERAL_PURPOSE_SSD"
diff --git a/docs/source/provider/resources/db_job.md b/docs/source/provider/resources/db_job.md
new file mode 100644
index 000000000..a69c98283
--- /dev/null
+++ b/docs/source/provider/resources/db_job.md
@@ -0,0 +1,386 @@
+# Resource: db_job
+
+The db_job resource allows you to create, edit, and delete jobs. 
+
+
+## Example Usage
+
+### Databricks Example (New Job Cluster)
+
+.. code-block:: tf
+
+    resource "db_job" "my_job3" {
+      new_cluster {
+        autoscale {
+          min_workers = 2
+          max_workers = 3
+        }
+        spark_version = "6.4.x-scala2.11"
+        aws_attributes {
+          zone_id = data.db_zones.my_wspace_zones.default_zone
+          spot_bid_price_percent = "100"
+        }
+        node_type_id = "r3.xlarge"
+      }
+      notebook_path = "/Users/jane.doe@databricks.com/my-demo-notebook"
+      name = "my-demo-notebook"
+      timeout_seconds = 3600
+      max_retries = 1
+      max_concurrent_runs = 1
+    }
+
+### Databricks Example (Existing Cluster)
+
+.. code-block:: tf
+
+    resource "db_job" "my_job3" {
+      existing_cluster_id = "<Cluster ID>"
+      notebook_path = "/Users/jane.doe@databricks.com/my-demo-notebook"
+      name = "my-demo-notebook"
+      timeout_seconds = 3600
+      max_retries = 1
+      max_concurrent_runs = 1
+    }
+    
+    
+## Argument Reference
+
+The following arguments are supported:
+
+.. _r_job_existing_cluster_id:
+* :ref:`existing_cluster_id <r_job_existing_cluster_id>` - **(Optional)** If existing_cluster_id, the ID of an existing 
+cluster that will be used for all runs of this job. When running jobs on an existing cluster, you may need to manually 
+restart the cluster if it stops responding. We suggest running jobs on new clusters for greater reliability.
+
+.. _r_job_new_cluster:
+* :ref:`new_cluster <r_job_new_cluster>` - **(Optional)** A description of a cluster that will be created for each run. 
+Please look [below](#cluster-block-reference).
+
+.. _r_job_name:
+* :ref:`name <r_job_name>` - **(Optional)** An optional name for the job. The default value is Untitled.
+
+.. _r_job_library_jar:
+* :ref:`library_jar <r_job_library_jar>` - **(Optional)** URI of the JAR to be installed. 
+DBFS and S3 URIs are supported. For example: "dbfs:/mnt/databricks/library.jar", "s3://my-bucket/library.jar". 
+If S3 is used, make sure the cluster has read access on the library. You may need to launch the cluster with an 
+instance profile to access the S3 URI.
+
+.. _r_job_library_egg:
+* :ref:`existing_cluster_id <r_job_library_egg>` - **(Optional)**  URI of the egg to be installed. 
+DBFS and S3 URIs are supported. For example: "dbfs:/my/egg", "s3://my-bucket/egg" }. 
+If S3 is used, make sure the cluster has read access on the library. You may need to launch the cluster 
+with an instance profile to access the S3 URI.
+
+.. _r_job_library_whl:
+* :ref:`library_whl <r_job_library_whl>` - **(Optional)** If whl, URI of the wheel or zipped wheels to be installed. 
+DBFS and S3 URIs are supported. For example: "dbfs:/my/whl", "s3://my-bucket/whl". If S3 is used, make sure the cluster 
+has read access on the library. You may need to launch the cluster with an instance profile to access the S3 URI. 
+Also the wheel file name needs to use the correct convention. If zipped wheels are to be installed, the file name 
+suffix should be .wheelhouse.zip.
+
+.. _r_job_library_pypi:
+* :ref:`library_pypi <r_job_library_pypi>` - **(Optional)** Specification of a PyPI library to be installed.
+
+    * :ref:`package` - **(Required)**  The name of the PyPI package to install. An optional exact version specification 
+    is also supported. Examples: simplejson and simplejson==3.8.0. This field is required.
+    
+    * :ref:`repo` - **(Optional)** The repository where the package can be found. If not specified, 
+    the default pip index is used.
+
+.. _r_job_library_maven:
+* :ref:`library_maven <r_job_library_maven>` - **(Optional)** Specification of a Maven library to be installed.
+
+    * :ref:`coordinates` - **(Required)** Gradle-style Maven coordinates. For example: org.jsoup:jsoup:1.7.2. 
+    This field is required.
+    
+    * :ref:`repo` - **(Optional)** Maven repo to install the Maven package from. If omitted, both Maven Central 
+    Repository and Spark Packages are searched.
+    
+    * :ref:`exclusions` - **(Optional)** List of dependences to exclude. For example: 
+    ["slf4j:slf4j", "*:hadoop-client"]. 
+    
+.. _r_job_library_cran:
+* :ref:`library_cran <r_job_library_cran>` - **(Optional)** Specification of a CRAN library to be installed.
+
+    * :ref:`package` - **(Required)** The name of the CRAN package to install. This field is required.
+    
+    * :ref:`repo` - **(Optional)** The repository where the package can be found. If not specified, 
+    the default CRAN repo is used.
+
+.. _r_job_notebook_path:
+* :ref:`notebook_path <r_job_notebook_path>` - **(Optional)** The absolute path of the notebook to be run in the 
+Databricks Workspace. This path must begin with a slash. This field is required.
+
+.. _r_job_notebook_base_parameters:
+* :ref:`r_job_notebook_base_parameters <r_job_notebook_base_parameters>` - **(Optional)** Base parameters to be used 
+for each run of this job. If the run is initiated by a call to run-now with parameters specified, the two parameters 
+maps will be merged. If the same key is specified in base_parameters and in run-now, the value from run-now will be used.
+
+.. _r_job_jar_uri:
+* :ref:`jar_uri <r_job_jar_uri>` - **(Optional)** Deprecated since 04/2016. Provide a jar through the libraries 
+field instead.
+
+.. _r_job_jar_main_class_name:
+* :ref:`jar_main_class_name <r_job_jar_main_class_name>` - **(Optional)** The full name of the class containing the 
+main method to be executed. This class must be contained in a JAR provided as a library. The code should use 
+SparkContext.getOrCreate to obtain a Spark context; otherwise, runs of the job will fail.
+
+.. _r_job_jar_parameters:
+* :ref:`library_maven <r_job_jar_parameters>` - **(Optional)** Parameters that will be passed to the main method.
+
+.. _r_job_python_file:
+* :ref:`python_file <r_job_python_file>` - **(Optional)** 	The URI of the Python file to be executed. 
+DBFS and S3 paths are supported. This field is required.
+
+.. _r_job_python_parameters:
+* :ref:`python_parameters <r_job_python_parameters>` - **(Optional)** Command line parameters that will be passed to 
+the Python file.
+
+.. _r_job_spark_submit_parameters:
+* :ref:`spark_submit_parameters <r_job_spark_submit_parameters>` - **(Optional)** Command-line parameters passed 
+to spark submit.
+
+.. _r_job_email_notifications:
+* :ref:`email_notifications <r_job_email_notifications>` - **(Optional)** An optional set of email addresses notified 
+when runs of this job begin and complete and when this job is deleted. The default behavior is to not send any emails.
+
+    * :ref:`on_start` - **(Optional)** A list of email addresses to be notified when a run begins. 
+    If not specified upon job creation or reset, the list will be empty, i.e., no address will be notified.
+    
+    * :ref:`on_success` - **(Optional)** A list of email addresses to be notified when a run successfully completes. 
+    A run is considered to have completed successfully if it ends with a TERMINATED life_cycle_state and a SUCCESSFUL 
+    result_state. If not specified upon job creation or reset, the list will be empty, i.e., no address will be notified.
+    
+    * :ref:`on_failure` - **(Optional)** A list of email addresses to be notified when a run unsuccessfully completes. 
+    A run is considered to have completed unsuccessfully if it ends with an INTERNAL_ERROR life_cycle_state or a 
+    SKIPPED, FAILED, or TIMED_OUT result_state. If not specified upon job creation or reset, the list will be empty, 
+    i.e., no address will be notified.
+    
+    * :ref:`no_alert_for_skipped_runs` - **(Optional)** If true, do not send email to recipients specified in 
+    on_failure if the run is skipped.
+
+.. _r_job_timeout_seconds:
+* :ref:`timeout_seconds <r_job_timeout_seconds>` - **(Optional)** 	An optional timeout applied to each run of this job. 
+The default behavior is to have no timeout.
+
+.. _r_job_max_retries:
+* :ref:`max_retries <r_job_max_retries>` - **(Optional)** An optional maximum number of times to retry an unsuccessful 
+run. A run is considered to be unsuccessful if it completes with a FAILED result_state or INTERNAL_ERROR 
+life_cycle_state. The value -1 means to retry indefinitely and the value 0 means to never retry. The default behavior 
+is to never retry.
+
+.. _r_job_min_retry_interval_millis:
+* :ref:`min_retry_interval_millis <r_job_min_retry_interval_millis>` - **(Optional)** 	An optional minimal interval in 
+milliseconds between the start of the failed run and the subsequent retry run. The default behavior is that 
+unsuccessful runs are immediately retried.
+
+.. _r_job_retry_on_timeout:
+* :ref:`retry_on_timeout <r_job_retry_on_timeout>` - **(Optional)** 	An optional policy to specify whether to retry 
+a job when it times out. The default behavior is to not retry on timeout.
+
+.. _r_job_schedule:
+* :ref:`schedule <r_job_schedule>` - **(Optional)** 	An optional periodic schedule for this job. 
+The default behavior is that the job runs when triggered by clicking Run Now in the Jobs UI or sending an API 
+request to runNow.
+
+    * :ref:`quartz_cron_expression` - **(Optional)** 	A Cron expression using Quartz syntax that describes 
+    the schedule for a job. See [Cron Trigger](http://www.quartz-scheduler.org/documentation/quartz-2.3.0/tutorials/crontrigger.html) 
+    for details. This field is required.
+    
+    * :ref:`timezone_id` - **(Optional)** A Java timezone ID. The schedule for a job will be resolved with respect 
+    to this timezone. See [Java TimeZone](https://docs.oracle.com/javase/7/docs/api/java/util/TimeZone.html) for 
+    details. This field is required.
+
+.. _r_job_max_concurrent_runs:
+* :ref:`max_concurrent_runs <r_job_max_concurrent_runs>` - **(Optional)** An optional maximum allowed number of 
+concurrent runs of the job. Set this value if you want to be able to execute multiple runs of the same job concurrently. 
+This is useful for example if you trigger your job on a frequent schedule and want to allow consecutive runs to overlap
+with each other, or if you want to trigger multiple runs which differ by their input parameters. This setting affects 
+only new runs. For example, suppose the job’s concurrency is 4 and there are 4 concurrent active runs. Then setting 
+the concurrency to 3 won’t kill any of the active runs. However, from then on, new runs are skipped unless there are 
+fewer than 3 active runs. This value cannot exceed 150. Setting this value to 0 causes all new runs to be skipped. 
+The default behavior is to allow only 1 concurrent run.
+
+
+### Cluster Block Reference
+
+
+.. _r_job_num_workers:
+* :ref:`num_workers <r_job_num_workers>` - **(Optional)** Number of worker nodes that this cluster should have. 
+A cluster has one Spark Driver and num_workers Executors for a total of num_workers + 1 Spark node
+
+.. _r_job_autoscale:
+* :ref:`autoscale <r_job_autoscale>` - **(Optional)** Parameters needed in order to automatically scale clusters up 
+and down based on load.
+
+    * :ref:`min_workers` - **(Optional)** The minimum number of workers to which the cluster can scale down when 
+    underutilized. It is also the initial number of workers the cluster will have after creation.
+    
+    * :ref:`max_workers` - **(Optional)** 	The maximum number of workers to which the cluster can scale up when 
+    overloaded. max_workers must be strictly greater than min_workers.
+
+.. _r_job_cluster_name:
+* :ref:`cluster_name <r_job_cluster_name>` - **(Optional)** Cluster name. This doesn’t have to be unique. 
+If not specified at creation, the cluster name will be an empty string.
+
+.. _r_job_spark_version:
+* :ref:`spark_version <r_job_spark_version>` - **(Optional)** 	The Spark version of the cluster. A list of available 
+Spark versions can be retrieved by using the Runtime Versions API call. This field is required.
+
+.. _r_job_spark_conf:
+* :ref:`spark_conf <r_job_spark_conf>` - **(Optional)** An object containing a set of optional, user-specified Spark 
+configuration key-value pairs. You can also pass in a string of extra JVM options to the driver and the executors via 
+spark.driver.extraJavaOptions and spark.executor.extraJavaOptions respectively.
+
+.. _r_job_aws_attributes:
+* :ref:`aws_attributes <r_job_aws_attributes>` - **(Optional)** Attributes related to clusters running on 
+Amazon Web Services. If not specified at cluster creation, a set of default values will be used.
+
+    * :ref:`zone_id` - **(Required)** Identifier for the availability zone/datacenter in which the cluster resides. 
+    This string will be of a form like “us-west-2a”. The provided availability zone must be in the same region as the 
+    Databricks deployment. For example, “us-west-2a” is not a valid zone ID if the Databricks deployment resides in the 
+    “us-east-1” region. 
+    
+    * :ref:`availability` - **(Optional)** 	Availability type used for all subsequent nodes past the first_on_demand 
+    ones. Note: If first_on_demand is zero, this availability type will be used for the entire cluster.
+    
+    * :ref:`spot_bid_price_percent` - **(Optional)** The max price for AWS spot instances, as a percentage of the 
+    corresponding instance type’s on-demand price. For example, if this field is set to 50, and the cluster needs a new 
+    i3.xlarge spot instance, then the max price is half of the price of on-demand i3.xlarge instances. Similarly, if 
+    this field is set to 200, the max price is twice the price of on-demand i3.xlarge instances. If not specified, the 
+    default value is 100. When spot instances are requested for this cluster, only spot instances whose max price 
+    percentage matches this field will be considered. For safety, we enforce this field to be no more than 10000.
+    
+    * :ref:`instance_profile_arn` - **(Optional)** Nodes for this cluster will only be placed on AWS instances with 
+    this instance profile. If omitted, nodes will be placed on instances without an instance profile. The instance 
+    profile must have previously been added to the Databricks environment by an account administrator.
+
+    * :ref:`first_on_demand` - **(Optional)** The first first_on_demand nodes of the cluster will be placed on on-demand 
+    instances. If this value is greater than 0, the cluster driver node will be placed on an on-demand instance. If this 
+    value is greater than or equal to the current cluster size, all nodes will be placed on on-demand instances. If this 
+    value is less than the current cluster size, first_on_demand nodes will be placed on on-demand instances and the 
+    remainder will be placed on availability instances. This value does not affect cluster size and cannot be mutated 
+    over the lifetime of a cluster.
+    
+    * :ref:`ebs_volume_type` - **(Optional)** The type of EBS volumes that will be launched with this cluster. 
+    GENERAL_PURPOSE_SSD or THROUGHPUT_OPTIMIZED_HDD
+    
+    * :ref:`ebs_volume_count` - **(Optional)** The number of volumes launched for each instance. You can choose up to 
+    10 volumes. This feature is only enabled for supported node types. Legacy node types cannot specify custom EBS 
+    volumes. For node types with no instance store, at least one EBS volume needs to be specified; otherwise, cluster 
+    creation will fail. These EBS volumes will be mounted at /ebs0, /ebs1, and etc. Instance store volumes will 
+    be mounted at /local_disk0, /local_disk1, and etc. If EBS volumes are attached, Databricks will configure Spark 
+    to use only the EBS volumes for scratch storage because heterogeneously sized scratch devices can lead to 
+    inefficient disk utilization. If no EBS volumes are attached, Databricks will configure Spark to use instance 
+    store volumes. If EBS volumes are specified, then the Spark configuration spark.local.dir will be overridden.
+    
+    * :ref:`ebs_volume_size` - **(Optional)** The size of each EBS volume (in GiB) launched for each instance. 
+    For general purpose SSD, this value must be within the range 100 - 4096. For throughput optimized HDD, this 
+    value must be within the range 500 - 4096. Custom EBS volumes cannot be specified for the legacy node types
+    (memory-optimized and compute-optimized).
+
+.. _r_job_driver_node_type_id:
+* :ref:`driver_node_type_id <r_job_driver_node_type_id>` - **(Optional)** The node type of the Spark driver. This field 
+is optional; if unset, the driver node type will be set as the same value as node_type_id defined above.
+
+.. _r_job_node_type_id:
+* :ref:`node_type_id <r_job_node_type_id>` - **(Optional)** This field encodes, through a single value, the resources 
+available to each of the Spark nodes in this cluster. For example, the Spark nodes can be provisioned and optimized for 
+memory or compute intensive workloads A list of available node types can be retrieved by using the List Node Types API 
+call. This field is required.
+
+.. _r_job_ssh_public_keys:
+* :ref:`ssh_public_keys <r_job_ssh_public_keys>` - **(Optional)** SSH public key contents that will be added to each 
+Spark node in this cluster. The corresponding private keys can be used to login with the user name ubuntu on port 2200. 
+Up to 10 keys can be specified.
+
+.. _r_job_custom_tags:
+* :ref:`custom_tags <r_job_custom_tags>` - **(Optional)** Additional tags for cluster resources. Databricks will tag all 
+cluster resources (e.g., AWS instances and EBS volumes) with these tags in addition to default_tags.
+
+.. _r_job_cluster_log_conf:
+* :ref:`cluster_log_conf <r_job_cluster_log_conf>` - **(Optional)** The configuration for delivering Spark logs to a 
+long-term storage destination. Only one destination can be specified for one cluster. If the conf is given, the logs 
+will be delivered to the destination every 5 mins. The destination of driver logs is <destination>/<cluster-id>/driver, 
+while the destination of executor logs is <destination>/<cluster-id>/executor.
+
+    * :ref:`dbfs_destination` - **(Optional)** DBFS location of cluster log. destination must be provided. For example, 
+    "dbfs:/home/cluster_log"
+    
+    * :ref:`s3_destination` - **(Optional)** S3 destination, e.g. s3://my-bucket/some-prefix You must configure the 
+    cluster with an instance profile and the instance profile must have write access to the destination. You cannot use 
+    AWS keys.
+    
+    * :ref:`s3_region` - **(Optional)** S3 region, e.g. us-west-2. Either region or endpoint must be set. If both are 
+    set, endpoint is used.
+    
+    * :ref:`s3_endpoint` - **(Optional)** S3 endpoint, e.g. https://s3-us-west-2.amazonaws.com. Either region or endpoint 
+    needs to be set. If both are set, endpoint is used.
+    
+    * :ref:`s3_enable_encryption` - **(Optional)** Enable server side encryption, false by default.
+    
+    * :ref:`s3_encryption_type` - **(Optional)** The encryption type, it could be sse-s3 or sse-kms. 
+    It is used only when encryption is enabled and the default type is sse-s3.
+    
+    * :ref:`s3_kms_key` - **(Optional)** KMS key used if encryption is enabled and encryption type is set to sse-kms.
+    
+    * :ref:`s3_canned_acl` - **(Optional)** Set canned access control list, e.g. bucket-owner-full-control. 
+    If canned_cal is set, the cluster instance profile must have s3:PutObjectAcl permission on the destination bucket 
+    and prefix. The full list of possible canned ACL can be found [here](https://docs.aws.amazon.com/AmazonS3/latest/dev/acl-overview.html#canned-acl). 
+    By default only the object owner gets full control. If you are using cross account role for writing data, you may 
+    want to set bucket-owner-full-control to make bucket owner able to read the logs.
+
+.. _r_job_init_scripts:
+* :ref:`init_scripts <r_job_init_scripts>` - **(Optional)** The configuration for storing init scripts. Any number of 
+scripts can be specified. The scripts are executed sequentially in the order provided. If cluster_log_conf is specified, 
+init script logs are sent to <destination>/<cluster-id>/init_scripts.
+
+    * :ref:`dbfs_destination` - **(Optional)** DBFS location of init script. Destination must be provided. For example, 
+    "dbfs:/home/cluster_log"
+    
+    * :ref:`s3_destination` - **(Optional)** S3 destination, e.g. s3://my-bucket/some-prefix You must configure the 
+    cluster with an instance profile and the instance profile must have write access to the destination. You cannot use 
+    AWS keys.
+    
+    * :ref:`s3_region` - **(Optional)** S3 region, e.g. us-west-2. Either region or endpoint must be set. If both are 
+    set, endpoint is used.
+    
+    * :ref:`s3_endpoint` - **(Optional)** S3 endpoint, e.g. https://s3-us-west-2.amazonaws.com. Either region or endpoint 
+    needs to be set. If both are set, endpoint is used.
+
+.. _r_job_spark_env_vars:
+* :ref:`spark_env_vars <r_job_spark_env_vars>` - **(Optional)** An object containing a set of optional, user-specified 
+environment variable key-value pairs. Key-value pair of the form (X,Y) are exported as is (i.e., export X='Y') while 
+launching the driver and workers. To specify an additional set of SPARK_DAEMON_JAVA_OPTS, we recommend appending them 
+to $SPARK_DAEMON_JAVA_OPTS as shown in the example below. This ensures that all default databricks managed environmental 
+variables are included as well. 
+
+.. _r_job_enable_elastic_disk:
+* :ref:`enable_elastic_disk <r_job_enable_elastic_disk>` - **(Optional)** Autoscaling Local Storage: when enabled, 
+this cluster dynamically acquires additional disk space when its Spark workers are running low on disk space. This 
+feature requires specific AWS permissions to function correctly - refer to Autoscaling local storage for details.
+
+.. _r_job_instance_pool_id:
+* :ref:`instance_pool_id <r_job_instance_pool_id>` - **(Optional)** The optional ID of the instance pool to which the 
+cluster belongs. Refer to Instance Pools API for details.
+
+
+## Attribute Reference
+
+In addition to all arguments above, the following attributes are exported:
+
+.. _r_job_job_id:
+* :ref:`job_id <r_job_job_id>` - 	The canonical identifier for the newly created job.
+
+.. _r_job_creator_user_name:
+* :ref:`creator_user_name <r_job_creator_user_name>` - The creator user name. This field won’t be included in 
+the response if the user has already been deleted.
+
+.. _r_job_created_time:
+* :ref:`created_time <r_job_created_time>` - The time at which this job was created in epoch milliseconds 
+(milliseconds since 1/1/1970 UTC).
+
+
+## Import
+
+.. Note:: Importing this resource is not currently supported.
\ No newline at end of file
diff --git a/docs/source/provider/resources/db_notebook.md b/docs/source/provider/resources/db_notebook.md
new file mode 100644
index 000000000..7e6ecff69
--- /dev/null
+++ b/docs/source/provider/resources/db_notebook.md
@@ -0,0 +1,60 @@
+# Resource: db_notebook
+
+This resource allows you to manage the import, export, and delete notebooks. The maximum allowed size of a 
+request to resource is 10MB. 
+
+
+## Example Usage
+
+.. code-block:: tf
+
+    resource "db_notebook" "my_databricks_notebook" {
+      content = filebase64("${path.module}/demo-terraform.dbc")
+      path = "/workspace/terraform-test-folder/"
+      overwrite = false
+      mkdirs = true
+      format = "DBC"
+    }
+    
+## Argument Reference
+
+The following arguments are supported:
+
+.. _r_notebook_content:
+* :ref:`content <r_notebook_content>` - **(Required)** The base64-encoded content. If the limit (10MB) is exceeded, 
+exception with error code MAX_NOTEBOOK_SIZE_EXCEEDED will be thrown.
+
+.. _r_notebook_path:
+* :ref:`path <r_notebook_path>` - **(Required)** 	The absolute path of the notebook or directory. 
+Exporting a directory is supported only for DBC. This field is **required**.
+
+.. _r_notebook_language:
+* :ref:`language <r_notebook_language>` - **(Required)** The language. If format is set to SOURCE, 
+this field is required; otherwise, it will be ignored. Possible choices are SCALA, PYTHON, SQL, R.
+
+.. _r_notebook_overwrite:
+* :ref:`overwrite <r_notebook_overwrite>` - **(Required)** The flag that specifies whether to overwrite existing object. 
+It is false by default. For DBC format, overwrite is not supported since it may contain a directory.
+
+.. _r_notebook_mkdirs:
+* :ref:`mkdirs <r_notebook_mkdirs>` - **(Required)** Create the given directory and necessary parent directories 
+if they do not exists. If there exists an object (not a directory) at any prefix of the input path, this call 
+returns an error RESOURCE_ALREADY_EXISTS. If this operation fails it may have succeeded in creating some of the necessary parent directories.
+
+.. _r_notebook_format:
+* :ref:`format <r_notebook_format>` - **(Required)** This specifies the format of the file to be imported. 
+By default, this is SOURCE. However it may be one of: SOURCE, HTML, JUPYTER, DBC. The value is case sensitive.
+
+## Attribute Reference
+
+In addition to all arguments above, the following attributes are exported:
+
+.. _r_notebook_object_id:
+* :ref:`object_id <r_notebook_object_id>` - Unique identifier for a NOTEBOOK or DIRECTORY.
+
+.. _r_notebook_object_type:
+* :ref:`object_type <r_notebook_object_type>` - 	The type of the object. It could be NOTEBOOK, DIRECTORY or LIBRARY.
+
+## Import
+
+.. Note:: Importing this resource is not currently supported.
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