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Add Datatypes examples to Spanner sample. #2251

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Add Datatypes examples to Spanner sample. #2251

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Add Datatypes examples to Spanner sample.
jsimonweb Jun 28, 2019
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Lint.
jsimonweb Jun 28, 2019
f2ceaba
Lint.
jsimonweb Jun 28, 2019
11c8f40
Fix test.
jsimonweb Jun 28, 2019
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121 changes: 119 additions & 2 deletions spanner/cloud-client/README.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -78,7 +78,30 @@ To run this sample:

usage: snippets.py [-h] [--database-id DATABASE_ID]
instance_id
{create_database,insert_data,query_data,read_data,read_stale_data,add_column,update_data,query_data_with_new_column,read_write_transaction,read_only_transaction,add_index,query_data_with_index,read_data_with_index,add_storing_index,read_data_with_storing_index,create_table_with_timestamp,insert_data_with_timestamp,add_timestamp_column,update_data_with_timestamp,query_data_with_timestamp}
{create_database,insert_data,query_data,read_data,
read_stale_data,add_column,update_data,
query_data_with_new_column,read_write_transaction,
read_only_transaction,add_index,query_data_with_index,
read_data_with_index,add_storing_index,
read_data_with_storing_index,
create_table_with_timestamp,insert_data_with_timestamp,
add_timestamp_column,update_data_with_timestamp,
query_data_with_timestamp,write_struct_data,
query_with_struct,query_with_array_of_struct,
query_struct_field,query_nested_struct_field,
insert_data_with_dml,update_data_with_dml,
delete_data_with_dml,update_data_with_dml_timestamp,
dml_write_read_transaction,update_data_with_dml_struct,
insert_with_dml,query_data_with_parameter,
write_with_dml_transaction,
update_data_with_partitioned_dml,
delete_data_with_partitioned_dml,update_with_batch_dml,
create_table_with_datatypes,insert_datatypes_data,
query_data_with_array,query_data_with_bool,
query_data_with_bytes,query_data_with_date,
query_data_with_float,query_data_with_int,
query_data_with_string,
query_data_with_timestamp_parameter}
...

This application demonstrates how to do basic operations using Cloud
Expand All @@ -88,11 +111,32 @@ To run this sample:

positional arguments:
instance_id Your Cloud Spanner instance ID.
{create_database,insert_data,query_data,read_data,read_stale_data,add_column,update_data,query_data_with_new_column,read_write_transaction,read_only_transaction,add_index,query_data_with_index,read_data_with_index,add_storing_index,read_data_with_storing_index,create_table_with_timestamp,insert_data_with_timestamp,add_timestamp_column,update_data_with_timestamp,query_data_with_timestamp}
{create_database, insert_data, delete_data, query_data, read_data,
read_stale_data, add_column, update_data, query_data_with_new_column,
read_write_transaction, read_only_transaction, add_index,
query_data_with_index, read_data_with_index, add_storing_index,
read_data_with_storing_index, create_table_with_timestamp,
insert_data_with_timestamp, add_timestamp_column,
update_data_with_timestamp, query_data_with_timestamp,
write_struct_data, query_with_struct, query_with_array_of_struct,
query_struct_field, query_nested_struct_field, insert_data_with_dml,
update_data_with_dml, delete_data_with_dml,
update_data_with_dml_timestamp, dml_write_read_transaction,
update_data_with_dml_struct, insert_with_dml, query_data_with_parameter,
write_with_dml_transaction, update_data_with_partitioned_dml,
delete_data_with_partitioned_dml, update_with_batch_dml,
create_table_with_datatypes, insert_datatypes_data,
query_data_with_array, query_data_with_bool, query_data_with_bytes,
query_data_with_date, query_data_with_float, query_data_with_int,
query_data_with_string, query_data_with_timestamp_parameter}
create_database Creates a database and tables for sample data.
insert_data Inserts sample data into the given database. The
database and table must already exist and can be
created using `create_database`.
delete_data Deletes sample data from the given database. The
database, table, and data must already exist and
can be created using `create_database` and
`insert_data`.
query_data Queries sample data from the database using SQL.
read_data Reads sample data from the database.
read_stale_data Reads sample data from the database. The data is
Expand Down Expand Up @@ -173,6 +217,79 @@ To run this sample:
by running this DDL statement against your database:
ALTER TABLE Performances ADD COLUMN LastUpdateTime
TIMESTAMP OPTIONS (allow_commit_timestamp=true)
write_struct_data Inserts sample data that can be used to test STRUCT
parameters in queries.
query_with_struct Query a table using STRUCT parameters.
query_with_array_of_struct
Query a table using an array of STRUCT parameters.
query_struct_field Query a table using field access on a STRUCT
parameter.
query_nested_struct_field
Query a table using nested field access on a STRUCT
parameter.
insert_data_with_dml
Inserts sample data into the given database using a
DML statement.
update_data_with_dml
Updates sample data from the database using a DML
statement.
delete_data_with_dml
Deletes sample data from the database using a DML
statement.
update_data_with_dml_timestamp
Updates data with Timestamp from the database using
a DML statement.
dml_write_read_transaction
First inserts data then reads it from within a
transaction using DML.
update_data_with_dml_struct
Updates data with a DML statement and STRUCT
parameters.
insert_with_dml Inserts data with a DML statement into the
database.
query_data_with_parameter
Queries sample data from the database using SQL
with a parameter.
write_with_dml_transaction
Transfers part of a marketing budget from one
album to another.
update_data_with_partitioned_dml
Update sample data with a partitioned DML
statement.
delete_data_with_partitioned_dml
Delete sample data with a partitioned DML
statement.
update_with_batch_dml
Updates sample data in the database using Batch
DML.
create_table_with_datatypes
Creates a table with supported dataypes.
insert_datatypes_data
Inserts data with supported datatypes into a table.
query_data_with_array
Queries sample data using SQL with an ARRAY
parameter.
query_data_with_bool
Queries sample data using SQL with a BOOL
parameter.
query_data_with_bytes
Queries sample data using SQL with a BYTES
parameter.
query_data_with_date
Queries sample data using SQL with a DATE
parameter.
query_data_with_float
Queries sample data using SQL with a FLOAT64
parameter.
query_data_with_int
Queries sample data using SQL with a INT64
parameter.
query_data_with_string
Queries sample data using SQL with a STRING
parameter.
query_data_with_timestamp_parameter
Queries sample data using SQL with a TIMESTAMP
parameter.

optional arguments:
-h, --help show this help message and exit
Expand Down
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