Mainframe Connector command-line reference

This document describes the syntax, commands, flags, and arguments for the Mainframe Connector command-line tool.

Commands

`bq export`

Export a table from BigQuery.

Synopsis

bq export [options]

Flags and arguments

To run this command you must provide an SQL query (see flags --sql and query_dsn) and a copybook (see flag cobDsn). You can run this command in local, remote, and standalone mode. For remote mode, see the flags --bucket, --remoteHost, --remotePort, and --remoteUrl. The bq export command uses the following flags and arguments:

--project_id=ID

Specify the project to use to execute this command.

--allow_large_results

(Optional) Use large destination table sizes for legacy SQL queries.

--batch

(Optional) Run the query in batch mode.

--bucket=BUCKET

(Optional) Specify a location within Cloud Storage to write the command's output. If the run_mode is gcsoutput, then this parameter should be set to a Cloud Storage URI in the format gs://example-bucket/example-prefix/example-filename.orc. Otherwise, the output files are written to the destination path gs://BUCKET/EXPORT/. This argument is required for remote mode.

--cobDsn=DSN

(Optional) Specify the copybook DSN that you want to use. If you don't provide a value, Mainframe Connector reads from DD COPYBOOK.

--dataset_id=ID

(Optional) Specify the default dataset to use with the command. You can set the value to [PROJECT_ID]:[DATASET] or [DATASET]. If [PROJECT_ID] is missing, the default project is used.

--destination_table=TABLE

(Optional) Specify the destination table that you want to write the query results to.

--dry_run

(Optional) Validate the query without running it.

--encoding=ENCODING

(Optional) Specify the character set to use for encoding and decoding character fields. When provided, this value overrides the default set by the ENCODING environment variable.

--exporter_thread_count=COUNT

(Optional) Set the number of exporter threads. The default value is 4.

--help or -h

Display this helper text.

--keepAliveTimeInSeconds=SECONDS

(Optional) Specify the keep alive timeout in seconds for an HTTP channel. The default value 480 seconds.

--location=LOCATION

(Optional) Specify a region or multi-region location to execute the command. The default value is US.

--max_read_queue=NUMBER

(Optional) Set the maximum size of the Avro records queue. The default value is twice the number of threads.

--max_read_streams=NUMBER

(Optional) Set the maximum number of read streams threads. the default value is 4.

--maximum_bytes_billed=BYTES

(Optional) Limit the bytes billed for the query.

--order_response

(Optional) Keep the response ordered as returned from BigQuery.

--outDD=OUTPUT

(Optional) Write the output records to the specified dataset in z/OS. The default value is DD OUTFILE.

--parser_type=TYPE

(Optional) Set the configuration parser to legacy, copybook, or auto. The default value is auto.

--query_dsn=DSN

(Optional) Read a query from the specified dataset in z/OS. Use the format HLQ.MEMBER or HLQ.PDS(MEMBER). If you don't provide a value, Mainframe Connector reads from DD QUERY.

--remoteHost=HOST

(Optional) Specify the IP address of the remote host. To run Mainframe Connector in remote mode, set the --bucket flag.

--remotePort=PORT

(Optional) Specify the remote port. The default value is 51770. To run Mainframe Connector in remote mode, set the --bucket flag.

--remoteUrl=URL

(Optional) Specify the remote URL. To run Mainframe Connector in remote mode, set the --bucket flag.

--run_mode=MODE

(Optional) Select the export implementation. You can use one of the following options:

directstorage: the binary file is saved locally (default)
gcsoutput: the binary file is saved in Cloud Storage

--sql=SQL

(Optional) Specify the BigQuery SQL query to execute.

--stats_table=TABLE

(Optional) Specify the table to insert statistics into.

--timeOutMinutes=MINUTES

(Optional) Set the timeout in minutes for the remote grpc call. The default value is 90 minutes.

--transcoding_buffer=BUFFER

(Optional) Sets the size of the transcoding buffer per thread, in MB. The default value is 20.

--use_cache={true|false}

(Optional) To cache the query results, set to true.

--use_legacy_sql

(Optional) Use legacy SQL instead of standard SQL.

`bq load`

Load data into a BigQuery table.

Synopsis

bq load [options] tablespec path

Flags and arguments

The bq load command uses the following flags and arguments:

path

Specify a comma-separated list of source file URIs. Supported format is gs://bucket/path. Example: gs://my-bucket/data.orc,gs://my-bucket/more-data.orc.

tablespec

Specify the destination table for the data. The supported format is [PROJECT]:[DATASET].[TABLE]

--project_id=ID

Specify the project to use to execute this command.

--allow_jagged_rows

(Optional) Allow missing trailing optional columns in CSV data.

--allow_quoted_newlines

(Optional) Allow quoted newlines within CSV data.

--append_table

(Optional) Append the loaded data to the existing data in the destination table.

--autodetect

(Optional) Enable automatic schema detection for CSV and JSON data.

--clustering_fields=FIELDS

(Optional) If specified, a comma-separated list of columns is used to cluster the destination table in a query. This flag must be used with the time partitioning flags to create either an ingestion-time partitioned table or a table partitioned on a DATE or TIMESTAMP column. When specified, the table is first partitioned, and then it is clustered using the supplied columns.

--dataset_id=ID

(Optional) Specify the default dataset to use with the command. You can set the value to [PROJECT_ID]:[DATASET] or [DATASET]. If [PROJECT_ID] is missing, the default project is used.

--debug_mode={true|false}

(Optional) Set logging level to debug.

--destination_kms_key=KEY

(Optional) The Cloud KMS key for encryption of the destination table data.

--encoding or -E=ENCODING

(Optional) Specify the character set to use for encoding and decoding character fields. When specified, this value overrides the default set by the ENCODING environment variable.

--field_delimiter or -F=FIELD

(Optional) Specify the column delimiter in the CSV data. Use \t or tab for tab delimiters.

--help or -h

Display this helper text.

--ignore_unknown_values=VALUES

(Optional) Ignore extra unrecognized values in CSV or JSON data.

--location=LOCATION

(Optional) Specify a region or multi-region location to execute the command. The default value is US.

--max_bad_records=RECORDS

(Optional) Set the maximum number of invalid records allowed before the job fails. A maximum of five errors of any type are returned regardless of the --max_bad_records value. This flag applies for loading CSV, JSON, and Google Sheets data only. The default value is 0.

--max_polling_interval_ms=MILLISECONDS

(Optional) The maximum wait time for a BigQuery job.

--null_marker=MARKER

(Optional) Specify a custom string that represents a NULL value in CSV data.

--projection_fields=FIELDS

(Optional) If you set --source_format to DATASTORE_BACKUP then this flag indicates the entity properties to load from a datastore export. Specify the property names in a comma-separated list. Property names are case sensitive and must refer to top-level properties. You can also use this flag with Firestore exports.

--quote=QUOTE

(Optional) Specify a quote character to surround fields in the CSV data. You can specify any one-byte character as the argument. The default value is a double quote ("). To specify that there is no quote characters, use an empty string.

--replace

(Optional) Replace existing data in the destination table with the loaded data.

--require_partition_filter={true|false}

(Optional) To have a partition filter for queries over the supplied table, set to true. This argument applies only to partitioned tables, and if the --time_partitioning_field flag is set to true. The default value is false.

--schema=SCHEMA

(Optional) Define the schema of the destination table. Specify the value as a comma-separated list of column definitions in the form [FIELD]:[DATA_TYPE]. Example: name:STRING,age:INTEGER,city:STRING

--schema_update_option=OPTION

(Optional) When appending data to a table (in a load job or a query job), or when overwriting a table partition, specify how to update the schema of the destination table. Use one of the following values:

ALLOW_FIELD_ADDITION: Allow new fields to be added
ALLOW_FIELD_RELAXATION: Allow relaxing REQUIRED fields to NULLABLE

Repeat this flag to specify multiple schema update options.

--skip_leading_rows=NUMBER

(Optional) Specify the number of rows to skip at the beginning of the source file. The default value is 0.

--source_format=FORMAT

(Optional) Specify the format of the source data. You can use one of the following values: CSV, NEWLINE_DELIMITED_JSON, AVRO, DATASTORE_BACKUP (use this value for Filestore), PARQUET, ORC. The default value is ORC.

--stats_table=TABLE

(Optional) Specify the table to insert statistics into.

--time_partitioning_expiration=SECONDS

(Optional) Specify when a time-based partition should be deleted, in seconds. The expiration time evaluates to the partition's UTC date plus the specified value. If you provide a negative number, the time-based partition never expires.

--time_partitioning_field=FIELD

(Optional) Specify the field used to determine how to create a time-based partition. If time-based partitioning is enabled without this value, then the table is partitioned based on the load time.

--time_partitioning_type=TYPE

(Optional) Enable time-based partitioning on a table and set the partition type using the following value: DAY.

--use_avro_logical_types={true|false}

(Optional) If --source_format is set to AVRO, then set this flag to true to convert logical types into their corresponding types (such as TIMESTAMP) instead of only using their raw types (such as INTEGER). The default value is false.

`bq mk`

Create a BigQuery resources such as built-in tables or external tables that need partitioning and and clustering to be set up. You can also use the bq mk command to generate a BigQuery table directly from parsing COBOL copybooks using the --schema_from_copybook flag.

Synopsis

bq mk [options]

Flags and arguments

The bq mk command uses the following flags and arguments:

--project_id=ID: Specify the project to use to execute this command.
--tablespec=TABLE: Specify the destination table for the data. The supported format is [PROJECT]:[DATASET].[TABLE].
--clustering_fields=FIELDS: (Optional) Specify a comma-separated list of up to four column names that specify the fields to use for table clustering.
--dataset_id=ID: (Optional) Specify the default dataset to use with the command. You can set the value to [PROJECT_ID]:[DATASET] or [DATASET]. If [PROJECT_ID] is missing, the default project is used.
--description=DESCRIPTION: (Optional) Provide a description for the dataset or table.
--dry_run: (Optional) Print the table's Data Definition Language (DDL) statement.
--encoding=ENCODING: (Optional) Specify the character set to use for encoding and decoding character fields. When specified, this value overrides the default set by the ENCODING environment variable.
--expiration=EXPIRATION: (Optional) Specify the lifetime for the table. If you don't specify a value, BigQuery creates the table with the dataset's default table lifetime, or the table doesn't expire.
--external_table_definition or -e=TABLE: (Optional) Specify a name and schema definition to create an external table. Example: ORC=gs://bucket/table_part1.orc/,gs://bucket/table_part2.orc/.
--help or -h: Display this helper text.
--location=LOCATION: (Optional) Specify a region or multi-region location to execute the command. The default value is US.
--parser_type=TYPE: (Optional) Set the configuration parser to legacy, copybook, or auto. The default value is auto.
--require_partition_filter={true|false}: (Optional) To have a partition filter for queries over the supplied table, set to true. This argument applies only to partitioned tables, and if the --time_partitioning_field flag is set to true. The default value is true.
--schema=SCHEMA: (Optional) Specify either the path to a local JSON schema file or a comma-separated list of column definitions in the format FIELD:DATA_TYPE, FIELD:DATA_TYPE and so on.
--schema_from_copybook=SCHEMA: (Optional) Generate the schema from a copybook.
--table or -t=TABLE: (Optional) Create a table.
--time_partitioning_expiration=SECONDS: (Optional) Specify when a time-based partition should be deleted, in seconds. The expiration time evaluates to the partition's UTC date plus the specified value. If you provide a negative number, the time-based partition never expires.
--time_partitioning_field=FIELD: (Optional) Specify the field used to determine how to create a time-based partition. If time-based partitioning is enabled without this value, then the table is partitioned based on the load time.
--view: (Optional) Create a view.

`bq query`

Execute a BigQuery query.

Synopsis

bq query [options]

Flags and arguments

You can run this command in the local and remote modes. For the remote mode, see the flags --remoteHost, --remotePort, and --remoteUrl, and the environment variable BQ_QUERY_REMOTE_EXECUTION. The bq query command uses the following flags and arguments:

--project_id=ID

Specify the project to use to execute this command.

--allow_large_results

(Optional) Use large destination table sizes for legacy SQL queries.

--append_table

(Optional) Append the loaded data to the existing data in the destination table.

--batch

(Optional) Run the query in batch mode.

--clustering_fields=FIELDS

(Optional) Specify a comma-separated list of up to four column names that specify the fields to use for table clustering. If you specify this value with partitioning, then the table is first partitioned, and then each partition is clustered using the supplied columns.

--create_if_needed

(Optional) Create destination table if it doesn't exist.

--dataset_id=ID

(Optional) Specify the default dataset to use with the command. You can set the value to [PROJECT_ID]:[DATASET] or [DATASET]. If [PROJECT_ID] is missing, the default project is used.

--destination_table=TABLE

(Optional) Specify the destination table that you want to write the query results to.

--dry_run

(Optional) Validate the query without running it.

--follow={true|false}

(Optional) To track individual query steps or the script as a whole, set to true. The default value is false.

--help or -h

Display this helper text.

--location=LOCATION

(Optional) Specify a region or multi-region location to execute the command. The default value is US.

--maximum_bytes_billed=BYTES

(Optional) Specify the limit of the bytes billed for the query.

--parameters=PARAMETERS

(Optional) Specify comma-separated query parameters in the format [NAME]:[TYPE]:[VALUE]. An empty name creates a positional parameter. You can omit [TYPE] to assume a STRING value in the format name::value or ::value. NULL produces a null value.

--query_dsn=DSN

(Optional) Specify the DSN to read the query from, in the format HLQ.MEMBER or HLQ.PDS(MEMBER). If query_dsn is not provided, QUERY DD is used.

--remoteHost=HOST

(Optional) Specify the IP address of the remote host. To run the query in remote mode, set the BQ_QUERY_REMOTE_EXECUTION environment variable.

--remotePort=PORT

(Optional) Specify the remote port. The default value is 51770. To run the query in remote mode, set the BQ_QUERY_REMOTE_EXECUTION environment variable.

--remoteUrl=URL

(Optional) Specify the remote URL. To run the query in remote mode, set the BQ_QUERY_REMOTE_EXECUTION environment variable.

--replace

(Optional) Overwrite the destination table with the query results.

--report_row_limit=LIMIT

(Optional) Specify the maximum rows to print in the audit report. The default value is 30.

--require_partition_filter={true|false}

(Optional) To have a partition filter for queries over the supplied table, set to true. The default value is true.

--schema_update_option=OPTION

(Optional) Update the schema of the destination table when appending data. Use the following values:

ALLOW_FIELD_ADDITION: Allows new fields to be added.
ALLOW_FIELD_RELAXATION: Allows relaxing REQUIRED fields to NULLABLE.

--split_sql={true|false}

(Optional) To split input SQL script into individual queries, set to true. The default value is true.

--stats_table=TABLE

(Optional) Specify the table to insert statistics into.

--sync={true|false}

(Optional) Run the command in synchronous mode.

--synchronous_mode={true|false}

(Optional) An alternative to --sync.

--timeOutMinutes=MINUTES

(Optional) Specify the timeout in minutes for a BigQuery job response. The default value is 240 minutes.

--time_partitioning_expiration=SECONDS

--time_partitioning_field=FIELD

(Optional) Specify the field used to determine how to create a time-based partition. If time-based partitioning is enabled without this value, then the table is partitioned based on the load time.

--time_partitioning_type=TYPE

(Optional) Enable time-based partitioning on a table and set the partition type using one of the following values: DAY, HOUR, MONTH, YEAR.

--use_cache={true|false}

(Optional) To cache the query results, set to true. The default value is true.

--use_legacy_sql

(Optional) Use legacy SQL instead of standard SQL.

`cloud run job cancel`

Cancel a specific job execution.

Synopsis

cloud run job cancel [-h] --project=PROJECT
                            --region=REGION EXECUTION

Flags and arguments

The cloud run job cancel command uses the following flags and arguments:

EXECUTION: Specify the name of the Cloud Run job execution id.
--help or -h: (Optional) Display this help message.
--project=PROJECT: Specify the project ID.
--region=REGION: Specify the region in which the resource can be found.

`cloud run job execute`

Execute a specific job.

Synopsis

cloud run job execute [-h] [--async] [--tail-logs] [--wait]
                             [--dump-execution-id=EXECUTION-ID]
                             [--polling-interval=POLLINGINTERVAL]
                             --project=PROJECT
                             --region=REGION
                             [--task-timeout=TIMEOUT]
                             [--args=ARGS]...
                             [--update-env-vars=ENVVARS]...
                             JOB

Flags and arguments

The cloud run job execute command uses the following flags and arguments:

JOB: Specify the name of the Cloud Run job to execute.
--args=ARGS: (Optional) Comma-separated arguments passed to the command run by the container image. If provided, an execution will be created with the input values.
--async: (Optional) Specify this flag if you want to return immediately, without waiting for the operation in progress to complete.
--dump-execution-id=EXECUTION-ID : DataPath: (Optional) Specify the file to write the execution ID to.
--help or -h: (Optional) Display this help message.
--polling-interval=POLLINGINTERVAL: (Optional) Sets the polling interval for displaying logs when --tail_logs is enabled. The default value is 60s.
--project=PROJECT: Specify the project ID.
--region=REGION: Specify the region in which the resource can be found.
--tail-logs: (Optional) If you run the command in the synchronous mode by specifying the --tail_logs flag, Mainframe Connector displays the progress logs on the screen. If you specify both the --tail_logs and --async flags, an error message is displayed. As Cloud Logging does not support real-time logging, the command only displays logs that have already been recorded in the logs. As a result, some logs may be missing when you use the --tail_logs flag. To view the complete job logs, use the cloud run job log command after the job has finished.
--task-timeout=TIMEOUT: (Optional) Displays the existing maximum time (deadline) a job task attempt can run for. If not specified will use job default.
--update-env-vars=ENVVARS: (Optional) List of key-value pairs to set as environment variables overrides for an execution of a job.
--wait: (Optional) Specify this flag if you want the command to wait until the execution has completed running before exiting.

`cloud run job log`

Display cloud run logs

Synopsis

cloud run job log [-h] [--tail] [--log-filter=FILTER]
                         [--polling-interval=POLLINGINTERVAL]
                         --project=PROJECT
                         --region=REGION
                         [--timeout=TIMEOUT] EXECUTION-ID

Flags and arguments

The cloud run job log command uses the following flags and arguments:

EXECUTION-ID: The name of the Cloud Run job execution id.
--help or -h: (Optional) Display this help message.
--log-filter=FILTER: (Optional) Filter expression that specifies the log entries to return.
--polling-interval=POLLINGINTERVAL: (Optional) Sets the polling interval for displaying logs when --tail_logs is enabled. The default value is 60s.
--project=PROJECT: Specify the project ID.
--region=REGION: Specify the region in which the resource can be found.
--tail: (Optional) Displays only new logs starting from now when set. If not set, all job logs will be shown.
--timeout=TIMEOUT: (Optional) Timeout, after the command will exit. If not set the command will time out when the execution exits.

`copy binary`

Copy a binary dataset from a source path to a destination path.

Synopsis

copy binary [-h] [--compress] [--buffer-size=BUFFERSIZE]
                   INPUT OUTPUT

Flags and arguments

The copy binary command uses the following flags and arguments:

INPUT : DataPath: Specify the data path of the input file you want to copy.
OUTPUT : DataPath: Specify data path of the output file you want to copy to.
--buffer-size=BUFFERSIZE : DataSize: (Optional) Indicate the memory read size for each chunk of data. The default value is 64 MiB.
--compress: (Optional) If true, the output file will be compressed using GZIP.
--help or -h: (Optional) Display this help message.

`copy text`

Copy text dataset.

Synopsis

copy text [-h] [--buffer-size=BUFFERSIZE] INPUT
                 OUTPUT

Flags and arguments

The copy text command uses the following flags and arguments:

INPUT : DataPath: Specify the data path of the input file you want to copy.
OUTPUT : DataPath: Specify data path of the output file you want to copy and encode to.
--buffer-size=BUFFERSIZE : DataSize: (Optional) Indicate the memory read size for each chunk of data. The default value is 64 MiB.
--help or -h: (Optional) Display this help message.

`gsutil cp`

Transcode data from your Mainframe to a Cloud Storage bucket.

Synopsis

gsutil cp [options] gcsUri [dest]

Flags and arguments

You can use this command for the following different purposes:

Copy and transcode a file from a Mainframe or a linux environment to Cloud Storage.

Source: --inDSN. If not provided, is specified by DD INFILE.
Destination: gcsUri

Copy and transcode a file within Cloud Storage

Source: gcsUri
Destination: --destPath

Copy a file from Cloud Storage to a Mainframe.

Source: gcsUri
Destination: --destDSN
Relevant flags: --lrecl, --blksize, --recfm, --noseek.

Copy a file from Cloud Storage to a linux environment.

Source: gcsUri
Destination: --destPath

This command can run in local, remote, and standalone modes. For remote mode, see the flags --remote, --remoteHost, --remotePort, and --remoteUrl. The gsutil cp command uses the following flags and arguments:

dest: (Optional) The local path or data source name (DSN). Example formats: /path/to/file, DATASET.MEMBER
gcsUri: The Cloud Storage URI in the format gs://bucket/path. Can represent both the source and destination location, depending on usage.
--batchSize=SIZE: (Optional) Specify the blocks to be used per batch. The default value is 1000.
--blksize=SIZE: (Optional) Specify the block size of file to copy to the Mainframe. If blksize=0 and the recfm is not U, the mainframe system determines the optimal block size for the file.
--cobDsn=DSN: (Optional) Specify the copybook DSN that you want to use. If you don't provide a value, Mainframe Connector reads from DD COPYBOOK.
--connections=NUMBER: (Optional) Specify the number of connections that can made to the remote receiver. The default value is 10.
--dataset_id=ID: (Optional) Specify the default dataset to use with the command. You can set the value to [PROJECT_ID]:[DATASET] or [DATASET]. If [PROJECT_ID] is missing, the default project is used.
--destDSN=OUTPUT: (Optional) Specify the destination DSN.
--destPath=OUTPUT: (Optional) Specify the destination path.
--dry_run: (Optional) Test copybook parsing and decoding of the QSAM file.
--encoding=ENCODING: (Optional) Specify the character set to use for encoding and decoding character fields. When specified, this value overrides the default set by the ENCODING environment variable.
--help or -h: Display this helper text.
--inDsn=DSN: (Optional) Specify the infile DSN that you want to use. If you don't provide a value, Mainframe Connector reads from DD INFILE.
--keepAliveTimeInSeconds=SECONDS: (Optional) Specify the keep alive timeout in seconds for an HTTP channel. The default value 480 seconds.
--location=LOCATION: (Optional) Specify a region or multi-region location to execute the command. The default value is US.
--lowerCaseColumnNames: (Optional) Create lowercase column names for copybook fields.
--lrecl=LRECL: (Optional) Specify the logical record length (lrecl) of the file that you want to copy to the Mainframe.
--maxChunkSize=SIZE: (Optional) Specify the maximum chunk size per batch. You should use K, KiB, KB, M, MiB, MB, G, GiB, GB, T, TiB, or TB to describe the size. The default value is 128MiB.
--max_error_pct=PCT: (Optional) Specify the job failure threshold for row decoding errors. Valid values are within the range [0.0, 1.0]. The default value is 0.
--noseek: (Optional) Improve download performance from Cloud Storage to the Mainframe.
--parallel or -m: (Optional) Set the number of concurrent writers to 4.
--parallelism or -p=NUMBER: (Optional) Specify the number of concurrent writers. The default value is 4.
--parser_type=TYPE: (Optional) Set the configuration parser to legacy, copybook, or auto. The default value is auto.
--preload_chunk_count=NUMBER: (Optional) Specify the number of chunks to preload from disks while all workers are occupied. The default value is 2.
--project_id=ID: (Optional) Specify the project to use to execute this command.
--recfm=REFCM: (Optional) Specify the recfm of the file that you want to copy to the Mainframe. You can use one of the following values: F, FB, V, VB, U. The default value is FB.
--remote: (Optional) Use a remote decoder.
--remoteHost=HOST: (Optional) Specify the IP address of the remote host. To run Mainframe Connector in remote mode, set the --remote flag.
--remotePort=PORT: (Optional) Specify the remote port to be used. The default value is 51770. To run Mainframe Connector in remote mode, set the --remote flag.
--remoteUrl=URL: (Optional) Specify the remote URL. To run Mainframe Connector in remote mode, set the --remote flag.
--replace: (Optional) Delete the destination recursively before uploading.
--stats_table=TABLE: (Optional) Specify the table to insert statistics into.
--tfDSN=DSN: (Optional) Specify the transformations from a DSN, DATASET.MEMBER, or PDS(MBR).
--tfGCS=GCS: (Optional) Specify the transformations file from Cloud Storage.
--timeOutMinutes=MINUTES: (Optional) Specify the timeout in minutes for a remote grpc call. The default value is 90 minutes for Cloud Storage and 50 minutes for a Mainframe.

`gsutil rm`

Remove Cloud Storage objects.

Synopsis

gsutil rm [-hR] URL...

Flags and arguments

The gsutil rm command uses the following flags and arguments:

URL: Specify the Cloud Storage location in the format gs://bucket/prefix.
--help or -h: (Optional) Display this help message.
-R or -r: (Optional) Recursively delete the contents of directories or objects that match the path expression. Does not throw an error if the directory or object does not exist.

`pubsub topics publish`

Publish a message to a Pub/Sub topic.

This command lets you send message data either directly using the --data flag or through a file using the --data-path flag. You can also include attributes, an ordering key, and apply message properties. Additionally, you can apply dynamic string substitutions to the message content.

Synopsis

pubsub topics publish [-h] [--data=DATA]
                             [--data-path=DATAPATH]
                             [--ordering-key=ORDERING-KEY]
                             [--attributes=NAME=VALUE[,
                             NAME=VALUE...]]...
                             [--message-property=KEY=VALUE]...
                             [--substitution=KEY=VALUE]...
                             TOPIC

Flags and arguments

The pubsub topics publish command uses the following flags and arguments:

TOPIC: Specify the name of the topic in the format projects/{project}/topics/{topic}.
--attributes=NAME=VALUE: (Optional) Specify a comma-separated list of attributes. Each ATTRIBUTE has the form name=value. You can specify up to 100 attributes. For a full list of attribute guidelines, see Use attributes to publish a message.
--data-path=DATAPATH : DataPath: (Optional) Specify the path to the file containing the data of the message. You must set one of the flags --data or --data-path, but not both. For more information on message formatting and size limits, see Publish messages to topics.
--data=DATA: (Optional) Specify the body of the message that you want to publish to the given topic name. You must set one of the flags --data or --data-path, but not both. For more information on message formatting and size limits, see Publish messages to topics.
--help or -h: (Optional) Display this help message.
--message-property=KEY=VALUE: (Optional) Specify properties to apply to the message. A valid property key is encoding. This property key specifies the character encoding to use for the message string. The message string is converted into bytes using this encoding before being sent to the Pub/Sub topic. For a list of supported encoding values, see supported encodings. The default is UTF-8.
--ordering-key=ORDERING-KEY: (Optional) Specify the key for the ordered delivery of messages to subscribers. All messages with the same ordering key are sent to subscribers in the order that Pub/Sub receives them.
--substitution=KEY=VALUE: (Optional) Using either --data or --data-path, specify the key-value pairs to be used for the dynamic substitution to be applied on the Pub/Sub message data. Mainframe Connector scans the message data for placeholders and replaces them with their corresponding values. Define the placeholders in the data using the syntax ${KEY}, for example ${NAME}. Specify each substitution as a key-value pair using the format KEY=VALUE. You can specify multiple substitutions by repeating the option: --substitution key1=value1 --substitution key2=value2.; For example, if the input data is: Hello, ${username}! and you use --substitution username=World, then the message sent to Pub/Sub will be: Hello, World!.; Note: Substitutions are performed as raw string replacements. If your message string is intended to be a JSON payload, special JSON characters (double quotes, backslashes, or newlines) in your substitution values aren't automatically escaped. You must ensure that your substitution values are properly JSON-escaped if you intend for the final message to remain valid JSON.

`qsam decode`

Decode QSAM data.

This command decodes records from a QSAM file to the format you specify using the --output-format argument. The original QSAM file is split into chunks based on the value you specify with the --max-chunk-size argument. The transcoded output is saved in the target path as lexicographically sorted files.

Synopsis

qsam decode [-h] [--replace] [--chunk-size=CHUNK-SIZE]
                   --copybook=COPYBOOK
                   [--max-error-percent=MAX_ERROR_PERCENT]
                   [--output-format=FORMAT]
                   [--parallelism=COUNT]
                   [--preload-chunk-count=PRELOAD_CHUNK_COUNT]
                   [--transcode-configuration=CONFIG]
                   [--input-parameter=KEY=VALUE]... INPUT
                   OUTPUT

Flags and arguments

The qsam decode command uses the following flags and arguments:

INPUT : DataPath

Specify the data path of the QSAM file you want to decode.

OUTPUT : DataPath

Specify the data path of the output prefix. All output is stored under this prefix.

--chunk-size=CHUNK-SIZE : DataSize

(Optional) Specify the amount of input data to include in each output file. The output file may be larger or smaller. Chunk size is rounded down to closes multiple of the logical record length. The default value is 128MiB.

--copybook=COPYBOOK : DataPath

Specify the data path of the file containing the copybook.

--help or -h

(Optional) Display this help message.

--input-parameter=KEY=VALUE

(Optional) Specify parameters to configure the input. Each parameter is defined as KEY=VALUE. The supported input parameter keys are as follows:

csv-dialect: Configures CSV parsing. The value is a DataPath pointing to a CSV configuration file.
json-dialect: Configures JSON parsing. The value is a DataPath pointing to JSON configuration file.
pubsub-publish-configuration: Configures the messages that get sent to Pub/Sub. The value is a DataPath pointing to a Pub/Sub configuration file.
output-prefix: Add prefix to the output files.

--max-error-percent=MAX_ERROR_PERCENT

(Optional) Specify the percentage of the processed records that are allowed to have errors before the transcoding process fails. The value can range between 0.0 (fail if there are any transcoding errors) and 1.0 (do not fail if there are transcoding errors). The default value is 0.

--output-format=FORMAT : TranscodeFormat

(Optional) Specify the format of the output file. If you provide a the DataPath of a Pub/Sub topic as the value to OUTPUT, then the default output format is JSONL. For all other DataPaths, the default output format is ORC.

--parallelism=COUNT

(Optional) Specify the number of processing threads. The value should be equal or less than the number of cores available. The default value is 1.

--preload-chunk-count=PRELOAD_CHUNK_COUNT

(Optional) Specify the number of data chunks to preload when all threads are processing. The default value is 1.

--replace

(Optional) If specified, deletes the output path recursively before writing the decoding results.

--transcode-configuration=CONFIG : DataPath

(Optional) Specify the file containing the transcoding configuration. For more information on the transcoder configuration format, see Transcoder configuration.

`qsam encode`

Encode QSAM data.

This command takes data from an external source and converts it to a QSAM file. The input is defined by the value you specify using the --input-format argument.

Synopsis

qsam encode [-h] --copybook=COPYBOOK
                   --input-format=FORMAT
                   [--input-stream-count=COUNT]
                   [--max-error-percent=MAX_ERROR_PERCENT]
                   [--parallelism=COUNT]
                   [--spillover=SPILLOVER]
                   [--transcode-configuration=CONFIG]
                   [--input-parameter=KEY=VALUE]... INPUT
                   OUTPUT

Flags and arguments

The qsam encode command uses the following flags and arguments:

INPUT : DataPath

Specify the data path of the input file you want to encode into a QSAM file.

OUTPUT : DataPath

Specify data path of the QSAM file you want to encode to.

--copybook=COPYBOOK : DataPath

Specify the data path of the file containing the copybook.

--help or -h

(Optional) Display this help message.

--input-format=FORMAT : TranscodeInputFormat

Specify the format of the input.

--input-parameter=KEY=VALUE

(Optional) Specify parameters to configure the input. Each parameter is defined as KEY=VALUE. The supported input parameter keys are as follows:

csv-dialect: Configures CSV parsing. The value is a DataPath pointing to a CSV configuration file.
json-dialect: Configures JSON parsing. The value is a DataPath pointing to JSON configuration file.
project-id: Cloud Storage project ID in case of ORC.

--input-stream-count=COUNT

(Optional) Specify the number of input streams. This is a maximum value, in reality fewer streams may be used. The default value is 1.

--max-error-percent=MAX_ERROR_PERCENT

--parallelism=COUNT

(Optional) Specify the number of processing threads. The value should be equal to or less than the number of available cores. The default value is 1.

--spillover=SPILLOVER : DataPath

(Optional) Specify a data path for the spillover dataset. If you don't specify this information, error details will be discarded.

--transcode-configuration=CONFIG : DataPath

(Optional) Specify the file containing the transcoding configuration. For more information on the transcoder configuration format, see Transcoder configuration.

`scp`

Copy files to Cloud Storage.

Synopsis

scp [options] [input] [output]

Flags and arguments

To use this command, you must ensure the following:

Set one unique input value through input, --inDD, or --inDsn.
Set one unique output value through output or --gcsOutUri.

The scp command uses the following flags and arguments:

input: (Optional) Specify the DD or DSN to be copied. You can use --inDD or --inDsn instead.
output: (Optional) Specify the URI of the output using the format gs://[BUCKET]/[PREFIX]. You can use --gcsOutUri instead.
--compress: (Optional) Compress output with gzip.
--count or -n=RECORDS: (Optional) Specify the number of records to copy. The default is unlimited.
--encoding=ENCODING: (Optional) Specify the input character encoding. The default value is CP037.
--gcsOutUri=URI: (Optional) Specify the destination Cloud Storage URI of the file copy.
--help or -h: Display this helper text.
--inDD=INPUT: (Optional) Specify the DD file to be copied. The default value is DD INFILE.
--inDsn=INPUT: (Optional) Specify the DSN to be copied.
--noConvert: (Optional) Disable conversion of character input to ASCII. Character conversion is enabled by default.

`systemreport`

Provide system report.

Synopsis

systemreport [-h] [--available-security-providers] [--supported-ciphers]

Flags and arguments

The systemreport command uses the following flags and arguments:

--available-security-providers: (Optional) Print supported security providers.
--help or -h: (Optional) Display this help message.
--supported-ciphers: (Optional) Print supported ciphers.

`vsam decode`

Decode VSAM data.

This command decodes records from a VSAM file to the format you specify using the --output-format argument. The original VSAM file is split into chunks based on the value you specify with the --max-chunk-size argument. The transcoded output is saved in the target path as lexicographically sorted files.

Synopsis

vsam decode [-h] [--replace] [--chunk-size=CHUNK-SIZE]
                   --copybook=COPYBOOK
                   [--max-error-percent=MAX_ERROR_PERCENT]
                   [--output-format=FORMAT]
                   [--parallelism=COUNT]
                   [--preload-chunk-count=PRELOAD_CHUNK_COUNT]
                   [--transcode-configuration=CONFIG]
                   [--input-parameter=KEY=VALUE]... INPUT
                   OUTPUT

Flags and arguments

The vsam decode command uses the following flags and arguments:

INPUT : DataPath

Specify the data path of the VSAM file you want to decode.

OUTPUT : DataPath

Specify the data path of the output prefix. All output is stored under this prefix.

--chunk-size=CHUNK-SIZE : DataSize

--copybook=COPYBOOK : DataPath

Specify the data path of the file containing the copybook.

--help or -h

(Optional) Display this help message.

--input-parameter=KEY=VALUE

(Optional) Specify parameters to configure the input. Each parameter is defined as KEY=VALUE. The supported input parameter keys are as follows:

csv-dialect: Configures CSV parsing. The value is a DataPath pointing to a CSV configuration file.
json-dialect: Configures JSON parsing. The value is a DataPath pointing to JSON configuration file.
pubsub-publish-configuration: Configures the messages that get sent to Pub/Sub. The value is a DataPath pointing to a Pub/Sub configuration file.
output-prefix: Add prefix to the output files.

--max-error-percent=MAX_ERROR_PERCENT

--output-format=FORMAT : TranscodeFormat

--parallelism=COUNT

(Optional) Specify the number of processing threads. The value should be equal or less than the number of cores available. The default value is 1.

--preload-chunk-count=PRELOAD_CHUNK_COUNT

(Optional) Specify the number of data chunks to preload when all threads are processing. The default value is 1.

--replace

(Optional) If specified, deletes the output path recursively before writing the decoding results.

--transcode-configuration=CONFIG : DataPath

(Optional) Specify the file containing the transcoding configuration. For more information on the transcoder configuration format, see Transcoder configuration.

Parameter Types

These common types used in Mainframe Connector commands.

`DataPath`

DataPath is a string representing an input or an output. Each DataPath type has its own prefix and arguments as follows:

DD: - Data paths with this prefix point to a data definition statement (DD) when running in a Job Control Language (JCL) job. You can change the DD encoding by adding encoding= to the DD. For example, DD:DDNAME or DD:DDNAME?encoding=UTF-8. The default DD encoding is the default OS encoding.
DSN: - Data paths with this prefix point to a data source name (DSN) when running on a mainframe. You can change the DSN encoding by adding encoding= to the DSN. For example, DSN:HQ.FOO.BAR or DSN:HQ.FOO.BAR?encoding=cp037.
file: - Data paths with this prefix point to a Unix file. You can specify the following in the Unix file:
- The logical record length (LRECL) by adding #lrecl before the :.
- The record format (RECFM) by adding &recfm before the :. The default RECFM is F.
- The encoding by adding &encoding before the :. The default encoding is UTF-8.
For example, file:/path/to/file, file?80:/path/to/file, file?80&recfm=FB:/path/to/file, or file?80&recfm=FB&encoding=cp037:/path/to/file.
gs:// - Data paths with this prefix point to a file in Cloud Storage. You can specify the following in the file:
- The LRECL by adding ?lrecl=lrecl after the bucket prefix.
- The RECFM by adding ?recfm=recfm after the bucket prefix. The default RECFM is F.
- The encoding by adding ?encoding= after the bucket prefix. The default encoding is UTF-8.
For example, gs://my_bucket/my/file.txt,gs://my_bucket/my/file.txt?encoding=cp037,gs://my_bucket/my/file.txt?recfm=fb&encoding=cp037, or gs://my_bucket/my/file.txt?lrecl=80&recfm=fb&encoding=cp037.
pubsub: - Data paths with this prefix point to a Pub/Sub resource. For example, pubsub:projects/projectId/topics/topicId.

For Cloud Storage or Unix files, if the RECFM is set to V, Mainframe Connector reads and writes the files in the LLzz format as follows:

The first two bytes represent the data size + 4 bytes.
The subsequent two bytes are always 0x0000.
The remaining bytes constitute the actual record data.

For Cloud Storage or Unix files, if the RECFM is set to VC, Mainframe Connector reads and writes the files in the zzLL format as follows:

The first two bytes are always 0x0000.
The subsequent two bytes represent the data size.
The remaining bytes constitute the actual record data.

`DataSize`

DataSize represents a size in the form of an amount and a unit of measurement, for example 5 MiB. You can use whitespace between the amount and magnitude. Data size parsing is case-insensitive, so you can specify units of measurement in both upper and lower cases.

You can specify the value in the following formats:

Java format: b/k/m/g/t, for byte, kibibyte, mebibyte, gibibyte, and tebibyte respectively.
International format: KiB/MiB/GiB/TiB, for kibibyte, mebibyte, gibibyte, and tebibyte respectively.
Metric format: b/kb/mb/gb/tb, for kilobyte, megabyte, gigabyte, and terabyte respectively.

`TranscodeFormat`

TranscodeFormat represents the format to be used during the transcoding process.

Valid values are:

ORC - ORC is a self-describing type-aware columnar file format.
CSV - CSV is a plain text format that stores tabular data with each line representing a row. You can specify the CSV parameters using the csv-dialect input parameter. You can define it as --input-parameter csv-dialect=DataPath where DataPath points to the location of these parameters.
JSONL - JSONL is a plain text format that stores tabular data with each line representing a row. You can specify the JSON parameters using the json-dialect input parameter. You can define it as --input-parameter json-dialect=DataPath where DataPath points to the location of these parameters.

`TranscodeInputFormat`

The format to be used during transcode.

Valid values are:

BIGQUERY - Pulls data directly from big-query. INPUT must be a path to a query file.

Available input parameters are:
- keep-order - Use if the exact order of records is important. Note that this will limit the input stream.
- project-id - Project ID to use when executing the job.
- location - Location to use when executing the job.
CSV - CSV is a plain text format that stores tabular data with each line representing a row. You can specify the CSV parameters using the csv-dialect input parameter. You can define it as --input-parameter csv-dialect=DataPath where DataPath points to the location of these parameters.
JSONL - JSONL is a plain text format that stores tabular data with each line representing a row. You can specify the JSON parameters using the json-dialect input parameter. You can define it as --input-parameter json-dialect=DataPath where DataPath points to the location of these parameters.
ORC - ORC is a self-describing type-aware columnar file format. To transcode ORC files from Cloud Storage, set the value of project-id to the project ID in which the Cloud Storage is present.

Mainframe Connector command-line reference Stay organized with collections Save and categorize content based on your preferences.

Commands

bq export

Synopsis

Flags and arguments

bq load

Synopsis

Flags and arguments

bq mk

Synopsis

Flags and arguments

bq query

Synopsis

Flags and arguments

cloud run job cancel

Synopsis

Flags and arguments

cloud run job execute

Synopsis

Flags and arguments

cloud run job log

Synopsis

Flags and arguments

copy binary

Synopsis

Flags and arguments

copy text

Synopsis

Flags and arguments

gsutil cp

Synopsis

Flags and arguments

gsutil rm

Synopsis

Flags and arguments

pubsub topics publish

Synopsis

Flags and arguments

qsam decode

Synopsis

Flags and arguments

qsam encode

Synopsis

Flags and arguments

scp

Synopsis

Flags and arguments

systemreport

Synopsis

Flags and arguments

vsam decode

Synopsis

Flags and arguments

Parameter Types

DataPath

DataSize

TranscodeFormat

TranscodeInputFormat

Mainframe Connector command-line reference

`bq export`

`bq load`

`bq mk`

`bq query`

`cloud run job cancel`

`cloud run job execute`

`cloud run job log`

`copy binary`

`copy text`

`gsutil cp`

`gsutil rm`

`pubsub topics publish`

`qsam decode`

`qsam encode`

`scp`

`systemreport`

`vsam decode`

`DataPath`

`DataSize`

`TranscodeFormat`

`TranscodeInputFormat`