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test_after_columns_statements.py
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test_after_columns_statements.py
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from simple_ddl_parser import DDLParser
def test_partitioned_by_hql():
ddl = """
CREATE EXTERNAL TABLE IF NOT EXISTS database.table_name
(
day_long_nm string,
calendar_dt date,
source_batch_id string,
field_qty decimal(10, 0),
field_bool boolean,
field_float float,
create_tmst timestamp,
field_double double,
field_long bigint
) PARTITIONED BY (batch_id int)
"""
result = DDLParser(ddl).run()
expected = [
{
"if_not_exists": True,
"columns": [
{
"name": "day_long_nm",
"type": "string",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "calendar_dt",
"type": "date",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "source_batch_id",
"type": "string",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "field_qty",
"type": "decimal",
"size": (10, 0),
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "field_bool",
"type": "boolean",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "field_float",
"type": "float",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "create_tmst",
"type": "timestamp",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "field_double",
"type": "double",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "field_long",
"type": "bigint",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
],
"primary_key": [],
"alter": {},
"checks": [],
"index": [],
"schema": "database",
"table_name": "table_name",
"tablespace": None,
"partitioned_by": [{"name": "batch_id", "type": "int", "size": None}],
"table_properties": {"external": True},
}
]
assert expected == result
def test_partitioned_by_postgresql():
ddl = """
CREATE TABLE measurement (
city_id int not null,
logdate date not null,
peaktemp int,
unitsales int
) PARTITION BY RANGE (logdate);
"""
result = DDLParser(ddl).run(group_by_type=True)
expected = {
"domains": [],
"ddl_properties": [],
"schemas": [],
"sequences": [],
"tables": [
{
"alter": {},
"checks": [],
"columns": [
{
"check": None,
"default": None,
"name": "city_id",
"nullable": False,
"references": None,
"size": None,
"type": "int",
"unique": False,
},
{
"check": None,
"default": None,
"name": "logdate",
"nullable": False,
"references": None,
"size": None,
"type": "date",
"unique": False,
},
{
"check": None,
"default": None,
"name": "peaktemp",
"nullable": True,
"references": None,
"size": None,
"type": "int",
"unique": False,
},
{
"check": None,
"default": None,
"name": "unitsales",
"nullable": True,
"references": None,
"size": None,
"type": "int",
"unique": False,
},
],
"index": [],
"partition_by": {"columns": ["logdate"], "type": "RANGE"},
"partitioned_by": [],
"primary_key": [],
"schema": None,
"table_name": "measurement",
"tablespace": None,
}
],
"types": [],
}
assert expected == result
def test_stored_as_parsed_but_not_showed():
ddl = """
CREATE EXTERNAL TABLE IF NOT EXISTS database.table_name
(
day_long_nm string,
calendar_dt date,
source_batch_id string,
field_qty decimal(10, 0),
field_bool boolean,
field_float float,
create_tmst timestamp,
field_double double,
field_long bigint
) PARTITIONED BY (batch_id int) STORED AS PARQUET
"""
result = DDLParser(ddl).run()
expected = [
{
"if_not_exists": True,
"columns": [
{
"name": "day_long_nm",
"type": "string",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "calendar_dt",
"type": "date",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "source_batch_id",
"type": "string",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "field_qty",
"type": "decimal",
"size": (10, 0),
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "field_bool",
"type": "boolean",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "field_float",
"type": "float",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "create_tmst",
"type": "timestamp",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "field_double",
"type": "double",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "field_long",
"type": "bigint",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
],
"primary_key": [],
"alter": {},
"checks": [],
"index": [],
"partitioned_by": [{"name": "batch_id", "type": "int", "size": None}],
"schema": "database",
"table_name": "table_name",
"tablespace": None,
"table_properties": {"external": True, "stored_as": "PARQUET"},
}
]
assert expected == result
def partitioned_by_multiple_tables_hql():
ddl = """
CREATE EXTERNAL TABLE IF NOT EXISTS database.table_name
(
day_long_nm string,
calendar_dt date,
source_batch_id string,
field_qty decimal(10, 0),
field_bool boolean,
field_float float,
batch_id timestamp,
batch_id2 double,
batch_32 bigint
) PARTITIONED BY (batch_id, batch_id2, batch_32) STORED AS PARQUET LOCATION 's3:https://datalake/table_name/v1'
"""
result = DDLParser(ddl).run(output_mode="hql")
expected = [
{
"columns": [
{
"name": "day_long_nm",
"type": "string",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "calendar_dt",
"type": "date",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "source_batch_id",
"type": "string",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "field_qty",
"type": "decimal",
"size": (10, 0),
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "field_bool",
"type": "boolean",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "field_float",
"type": "float",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "create_tmst",
"type": "timestamp",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "field_double",
"type": "double",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "field_long",
"type": "bigint",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
],
"primary_key": [],
"alter": {},
"checks": [],
"index": [],
"partitioned_by": ["batch_id", "batch_id2", "batch_32"],
"stored_as": "PARQUET",
"location": "s3:https://datalake/table_name/v1'",
"external": True,
"schema": "database",
"table_name": "table_name",
"tablespace": None,
}
]
assert expected == result
def test_row_format_is_not_showed():
ddl = """
CREATE TABLE IF NOT EXISTS default.salesorderdetail(
SalesOrderID int,
ProductID int,
OrderQty int,
LineTotal decimal
)
ROW FORMAT DELIMITED
STORED AS TEXTFILE
"""
result = DDLParser(ddl).run()
expected = [
{
"if_not_exists": True,
"columns": [
{
"name": "SalesOrderID",
"type": "int",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "ProductID",
"type": "int",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "OrderQty",
"type": "int",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "LineTotal",
"type": "decimal",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
],
"primary_key": [],
"alter": {},
"checks": [],
"index": [],
"partitioned_by": [],
"schema": "default",
"table_name": "salesorderdetail",
"tablespace": None,
"table_properties": {"row_format": "DELIMITED", "stored_as": "TEXTFILE"},
}
]
assert expected == result
def test_fields_terminated_by_not_showed():
ddl = """
CREATE TABLE IF NOT EXISTS default.salesorderdetail(
SalesOrderID int,
ProductID int,
OrderQty int,
LineTotal decimal
)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY ','
STORED AS TEXTFILE
"""
result = DDLParser(ddl).run()
expected = [
{
"if_not_exists": True,
"columns": [
{
"name": "SalesOrderID",
"type": "int",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "ProductID",
"type": "int",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "OrderQty",
"type": "int",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "LineTotal",
"type": "decimal",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
],
"primary_key": [],
"alter": {},
"checks": [],
"index": [],
"partitioned_by": [],
"schema": "default",
"table_name": "salesorderdetail",
"tablespace": None,
"table_properties": {
"fields_terminated_by": "','",
"row_format": "DELIMITED",
"stored_as": "TEXTFILE",
},
}
]
assert expected == result
def test_collection_items_terminated_by_not_showed():
ddl = """
CREATE TABLE IF NOT EXISTS default.salesorderdetail(
SalesOrderID int,
ProductID int,
OrderQty int,
LineTotal decimal
)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY '\002'
COLLECTION ITEMS TERMINATED BY '\002'
STORED AS TEXTFILE
"""
result = DDLParser(ddl).run()
expected = [
{
"if_not_exists": True,
"columns": [
{
"name": "SalesOrderID",
"type": "int",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "ProductID",
"type": "int",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "OrderQty",
"type": "int",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "LineTotal",
"type": "decimal",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
],
"primary_key": [],
"alter": {},
"checks": [],
"index": [],
"partitioned_by": [],
"schema": "default",
"table_name": "salesorderdetail",
"tablespace": None,
"table_properties": {
"collection_items_terminated_by": "'\\002'",
"fields_terminated_by": "'\\002'",
"row_format": "DELIMITED",
"stored_as": "TEXTFILE",
},
}
]
assert expected == result
def test_map_keys_terminated_not_showed():
ddl = """
CREATE TABLE IF NOT EXISTS default.salesorderdetail(
SalesOrderID int,
ProductID int,
OrderQty int,
LineTotal decimal
)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY ','
COLLECTION ITEMS TERMINATED BY '\002'
MAP KEYS TERMINATED BY '\003'
STORED AS TEXTFILE
"""
result = DDLParser(ddl).run()
expected = [
{
"if_not_exists": True,
"table_properties": {
"collection_items_terminated_by": "'\\002'",
"fields_terminated_by": "','",
"map_keys_terminated_by": "'\\003'",
"row_format": "DELIMITED",
"stored_as": "TEXTFILE",
},
"columns": [
{
"name": "SalesOrderID",
"type": "int",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "ProductID",
"type": "int",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "OrderQty",
"type": "int",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "LineTotal",
"type": "decimal",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
],
"primary_key": [],
"alter": {},
"checks": [],
"index": [],
"partitioned_by": [],
"schema": "default",
"table_name": "salesorderdetail",
"tablespace": None,
}
]
assert expected == result
def test_tablespace_statement():
ddl = """
Create Table emp_table (
empno Number,
ename Varchar2(100),
sal Number,
photo Blob
)
Tablespace my_table_space
"""
result = DDLParser(ddl).run(group_by_type=True)
expected = {
"sequences": [],
"ddl_properties": [],
"domains": [],
"schemas": [],
"tables": [
{
"alter": {},
"checks": [],
"columns": [
{
"check": None,
"default": None,
"name": "empno",
"nullable": True,
"references": None,
"size": None,
"type": "Number",
"unique": False,
},
{
"check": None,
"default": None,
"name": "ename",
"nullable": True,
"references": None,
"size": 100,
"type": "Varchar2",
"unique": False,
},
{
"check": None,
"default": None,
"name": "sal",
"nullable": True,
"references": None,
"size": None,
"type": "Number",
"unique": False,
},
{
"check": None,
"default": None,
"name": "photo",
"nullable": True,
"references": None,
"size": None,
"type": "Blob",
"unique": False,
},
],
"index": [],
"partitioned_by": [],
"primary_key": [],
"schema": None,
"table_name": "emp_table",
"tablespace": {
"tablespace_name": "my_table_space",
"properties": None,
"type": None,
"temporary": False,
},
}
],
"types": [],
}
assert expected == result
def test_tablespace_with_properties():
expected = {
"tables": [
{
"columns": [
{
"name": "empno",
"type": "Number",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "ename",
"type": "Varchar2",
"size": 100,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "sal",
"type": "Number",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
{
"name": "photo",
"type": "Blob",
"size": None,
"references": None,
"unique": False,
"nullable": True,
"default": None,
"check": None,
},
],
"primary_key": [],
"alter": {},
"checks": [],
"index": [],
"partitioned_by": [],
"tablespace": {
"tablespace_name": "user_data",
"properties": {
"ENABLE": "STORAGE",
"IN": "ROW",
"CHUNK": "8K",
"RETENTION": "CACHE",
},
"temporary": False,
"type": None,
},
"schema": None,
"table_name": "emp_table",
}
],
"types": [],
"ddl_properties": [],
"sequences": [],
"domains": [],
"schemas": [],
}
ddl = """
Create Table emp_table (
empno Number,
ename Varchar2(100),
sal Number,
photo Blob
)
TABLESPACE user_data ENABLE STORAGE IN ROW CHUNK 8K RETENTION CACHE
"""
result = DDLParser(ddl).run(group_by_type=True)
assert expected == result
def test_partition_by_without_parths():
expected = {
"domains": [],
"ddl_properties": [],
"schemas": [],
"sequences": [],
"tables": [
{
"alter": {},
"checks": [],
"columns": [
{
"check": None,
"default": None,
"name": "table_id",
"nullable": True,
"references": None,
"size": None,
"type": "INT64",
"unique": False,
},
{
"check": None,
"default": None,
"name": "a_column",
"nullable": True,
"references": None,
"size": None,
"type": "STRING",
"unique": False,
},
{
"check": None,
"default": None,
"name": "another_column",
"nullable": True,
"references": None,
"size": None,
"type": "BOOLEAN",
"unique": False,
},
{
"check": None,
"default": None,
"name": "a_partion_column",
"nullable": True,
"references": None,
"size": None,
"type": "DATE",
"unique": False,
},
],
"index": [],
"partition_by": {"columns": ["a_partion_column"], "type": None},
"partitioned_by": [],