Runs a batch SQL statement over an array of data.
You can run bulk update and insert operations for multiple records using a DML statement with different parameter sets. Bulk operations can provide a significant performance improvement over individual insert and update operations.
Warning
If a call isn’t part of a transaction because it doesn’t include the transactionID
parameter, changes that result from the call are committed automatically.
There isn’t a fixed upper limit on the number of parameter sets. However, the maximum size of the HTTP request submitted through the Data API is 4 MiB. If the request exceeds this limit, the Data API returns an error and doesn’t process the request. This 4-MiB limit includes the size of the HTTP headers and the JSON notation in the request. Thus, the number of parameter sets that you can include depends on a combination of factors, such as the size of the SQL statement and the size of each parameter set.
The response size limit is 1 MiB. If the call returns more than 1 MiB of response data, the call is terminated.
See also: AWS API Documentation
See ‘aws help’ for descriptions of global parameters.
batch-execute-statement
[--database <value>]
[--parameter-sets <value>]
--resource-arn <value>
[--schema <value>]
--secret-arn <value>
--sql <value>
[--transaction-id <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
--database
(string)
The name of the database.
--parameter-sets
(list)
The parameter set for the batch operation.
The SQL statement is executed as many times as the number of parameter sets provided. To execute a SQL statement with no parameters, use one of the following options:
Specify one or more empty parameter sets.
Use the
ExecuteStatement
operation instead of theBatchExecuteStatement
operation.Note
Array parameters are not supported.
(list)
(structure)
A parameter used in a SQL statement.
name -> (string)
The name of the parameter.
typeHint -> (string)
A hint that specifies the correct object type for data type mapping. Possible values are as follows:
DATE
- The correspondingString
parameter value is sent as an object ofDATE
type to the database. The accepted format isYYYY-MM-DD
.
DECIMAL
- The correspondingString
parameter value is sent as an object ofDECIMAL
type to the database.
JSON
- The correspondingString
parameter value is sent as an object ofJSON
type to the database.
TIME
- The correspondingString
parameter value is sent as an object ofTIME
type to the database. The accepted format isHH:MM:SS[.FFF]
.
TIMESTAMP
- The correspondingString
parameter value is sent as an object ofTIMESTAMP
type to the database. The accepted format isYYYY-MM-DD HH:MM:SS[.FFF]
.
UUID
- The correspondingString
parameter value is sent as an object ofUUID
type to the database.value -> (structure)
The value of the parameter.
arrayValue -> (structure)
An array of values.
arrayValues -> (list)
An array of arrays.
(structure)
Contains an array.
arrayValues -> (list)
An array of arrays.
( … recursive … )
booleanValues -> (list)
An array of Boolean values.
(boolean)
doubleValues -> (list)
An array of floating-point numbers.
(double)
longValues -> (list)
An array of integers.
(long)
stringValues -> (list)
An array of strings.
(string)
booleanValues -> (list)
An array of Boolean values.
(boolean)
doubleValues -> (list)
An array of floating-point numbers.
(double)
longValues -> (list)
An array of integers.
(long)
stringValues -> (list)
An array of strings.
(string)
blobValue -> (blob)
A value of BLOB data type.
booleanValue -> (boolean)
A value of Boolean data type.
doubleValue -> (double)
A value of double data type.
isNull -> (boolean)
A NULL value.
longValue -> (long)
A value of long data type.
stringValue -> (string)
A value of string data type.
JSON Syntax:
[
[
{
"name": "string",
"typeHint": "JSON"|"UUID"|"TIMESTAMP"|"DATE"|"TIME"|"DECIMAL",
"value": {
"arrayValue": {
"arrayValues": [
{
"arrayValues": [
{ ... recursive ... }
...
],
"booleanValues": [true|false, ...],
"doubleValues": [double, ...],
"longValues": [long, ...],
"stringValues": ["string", ...]
}
...
],
"booleanValues": [true|false, ...],
"doubleValues": [double, ...],
"longValues": [long, ...],
"stringValues": ["string", ...]
},
"blobValue": blob,
"booleanValue": true|false,
"doubleValue": double,
"isNull": true|false,
"longValue": long,
"stringValue": "string"
}
}
...
]
...
]
--resource-arn
(string)
The Amazon Resource Name (ARN) of the Aurora Serverless DB cluster.
--schema
(string)
The name of the database schema.
--secret-arn
(string)
The ARN of the secret that enables access to the DB cluster. Enter the database user name and password for the credentials in the secret.
For information about creating the secret, see Create a database secret .
--sql
(string)
The SQL statement to run. Don’t include a semicolon (;) at the end of the SQL statement.
--transaction-id
(string)
The identifier of a transaction that was started by using the
BeginTransaction
operation. Specify the transaction ID of the transaction that you want to include the SQL statement in.If the SQL statement is not part of a transaction, don’t set this parameter.
--cli-input-json
| --cli-input-yaml
(string)
Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton
. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml
.
--generate-cli-skeleton
(string)
Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input
, prints a sample input JSON that can be used as an argument for --cli-input-json
. Similarly, if provided yaml-input
it will print a sample input YAML that can be used with --cli-input-yaml
. If provided with the value output
, it validates the command inputs and returns a sample output JSON for that command.
See ‘aws help’ for descriptions of global parameters.
To execute a batch SQL statement
The following batch-execute-statement
example executes a batch SQL statement over an array of data with a parameter set.
aws rds-data batch-execute-statement \
--resource-arn "arn:aws:rds:us-west-2:123456789012:cluster:mydbcluster" \
--database "mydb" \
--secret-arn "arn:aws:secretsmanager:us-west-2:123456789012:secret:mysecret" \
--sql "insert into mytable values (:id, :val)" \
--parameter-sets "[[{\"name\": \"id\", \"value\": {\"longValue\": 1}},{\"name\": \"val\", \"value\": {\"stringValue\": \"ValueOne\"}}],
[{\"name\": \"id\", \"value\": {\"longValue\": 2}},{\"name\": \"val\", \"value\": {\"stringValue\": \"ValueTwo\"}}],
[{\"name\": \"id\", \"value\": {\"longValue\": 3}},{\"name\": \"val\", \"value\": {\"stringValue\": \"ValueThree\"}}]]"
This command produces no output.
For more information, see Using the Data API for Aurora Serverless in the Amazon RDS User Guide.
updateResults -> (list)
The execution results of each batch entry.
(structure)
The response elements represent the results of an update.
generatedFields -> (list)
Values for fields generated during the request.
(structure)
Contains a value.
arrayValue -> (structure)
An array of values.
arrayValues -> (list)
An array of arrays.
(structure)
Contains an array.
arrayValues -> (list)
An array of arrays.
( … recursive … )
booleanValues -> (list)
An array of Boolean values.
(boolean)
doubleValues -> (list)
An array of floating-point numbers.
(double)
longValues -> (list)
An array of integers.
(long)
stringValues -> (list)
An array of strings.
(string)
booleanValues -> (list)
An array of Boolean values.
(boolean)
doubleValues -> (list)
An array of floating-point numbers.
(double)
longValues -> (list)
An array of integers.
(long)
stringValues -> (list)
An array of strings.
(string)
blobValue -> (blob)
A value of BLOB data type.
booleanValue -> (boolean)
A value of Boolean data type.
doubleValue -> (double)
A value of double data type.
isNull -> (boolean)
A NULL value.
longValue -> (long)
A value of long data type.
stringValue -> (string)
A value of string data type.