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ExecuteSqlRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)
The request for ExecuteSql][google.spanner.v1.Spanner.ExecuteSql]
and
ExecuteStreamingSql][google.spanner.v1.Spanner.ExecuteStreamingSql]
.
Attributes | |
---|---|
Name | Description |
session |
str
Required. The session in which the SQL query should be performed. |
transaction |
The transaction to use. For queries, if none is provided, the default is a temporary read-only transaction with strong concurrency. Standard DML statements require a read-write transaction. To protect against replays, single- use transactions are not supported. The caller must either supply an existing transaction ID or begin a new transaction. Partitioned DML requires an existing Partitioned DML transaction ID. |
sql |
str
Required. The SQL string. |
params |
Parameter names and values that bind to placeholders in the SQL string. A parameter placeholder consists of the @ character
followed by the parameter name (for example,
@firstName ). Parameter names can contain letters,
numbers, and underscores.
Parameters can appear anywhere that a literal value is
expected. The same parameter name can be used more than
once, for example:
"WHERE id > @msg_id AND id < @msg_id="" +="">
It is an error to execute a SQL statement with unbound
parameters.
|
param_types |
Sequence[
It is not always possible for Cloud Spanner to infer the right SQL type from a JSON value. For example, values of type BYTES and values of type STRING both appear in
params][google.spanner.v1.ExecuteSqlRequest.params] as JSON
strings.
In these cases, param_types can be used to specify the
exact SQL type for some or all of the SQL statement
parameters. See the definition of
Type][google.spanner.v1.Type] for more information about
SQL types.
|
resume_token |
bytes
If this request is resuming a previously interrupted SQL statement execution, resume_token should be copied from
the last
PartialResultSet][google.spanner.v1.PartialResultSet]
yielded before the interruption. Doing this enables the new
SQL statement execution to resume where the last one left
off. The rest of the request parameters must exactly match
the request that yielded this token.
|
query_mode |
Used to control the amount of debugging information returned in ResultSetStats][google.spanner.v1.ResultSetStats] . If
partition_token][google.spanner.v1.ExecuteSqlRequest.partition_token]
is set,
query_mode][google.spanner.v1.ExecuteSqlRequest.query_mode]
can only be set to
QueryMode.NORMAL][google.spanner.v1.ExecuteSqlRequest.QueryMode.NORMAL] .
|
partition_token |
bytes
If present, results will be restricted to the specified partition previously created using PartitionQuery(). There must be an exact match for the values of fields common to this message and the PartitionQueryRequest message used to create this partition_token. |
seqno |
int
A per-transaction sequence number used to identify this request. This field makes each request idempotent such that if the request is received multiple times, at most one will succeed. The sequence number must be monotonically increasing within the transaction. If a request arrives for the first time with an out-of-order sequence number, the transaction may be aborted. Replays of previously handled requests will yield the same response as the first execution. Required for DML statements. Ignored for queries. |
query_options |
Query optimizer configuration to use for the given query. |
Classes
ParamTypesEntry
ParamTypesEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)
The abstract base class for a message.
Parameters | |
---|---|
Name | Description |
kwargs |
dict
Keys and values corresponding to the fields of the message. |
mapping |
Union[dict,
A dictionary or message to be used to determine the values for this message. |
ignore_unknown_fields |
Optional(bool)
If True, do not raise errors for unknown fields. Only applied if |
QueryMode
QueryMode(value)
Mode in which the statement must be processed.
QueryOptions
QueryOptions(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Query optimizer configuration.