Created
July 23, 2020 21:49
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Generate Random Data for Google Cloud Spanner Import
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# Copyright 2020 Google LLC | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# https://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, | |
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
# See the License for the specific language governing permissions and | |
# limitations under the License. | |
import datetime | |
import random | |
import fastavro | |
import fastavro.write | |
TOTAL_FILES = 5 | |
NULL_PROBABILITY = 0.01 | |
ROWS = 10000 | |
ALPHABET = "abcdefghijklmnopqrstuvwxyz" | |
MAX_STRING_LENGTH = 1000 | |
MIN_FLOAT = -1e12 | |
MAX_FLOAT = 1e12 | |
CHARACTER_RANGES = [ | |
(0x20, 0x7F), | |
(0xA0, 0xFF), | |
(0x100, 0x17F), | |
(0x180, 0x24F), | |
(0x3040, 0x309F), | |
(0x30A0, 0x30FF), | |
] | |
def nullable(func): | |
if random.random() < NULL_PROBABILITY: | |
return None | |
return func() | |
def generate_group_key(): | |
return random.choice(ALPHABET) + random.choice(ALPHABET) + random.choice(ALPHABET) | |
def generate_string(): | |
output = [] | |
string_length = random.randint(0, MAX_STRING_LENGTH) | |
for _ in range(string_length): | |
charrange = random.choice(CHARACTER_RANGES) | |
charvalue = random.randint(*charrange) | |
output.append(chr(charvalue)) | |
return "".join(output) | |
def generate_bytes(): | |
output = [] | |
string_length = random.randint(0, MAX_STRING_LENGTH) | |
for _ in range(string_length): | |
output.append(random.randint(0, 255)) | |
return bytes(output) | |
def generate_date(): | |
if random.random() < NULL_PROBABILITY: | |
return None | |
return datetime.date( | |
random.randint(1970, 2070), random.randint(1, 12), random.randint(1, 28), | |
).isoformat() | |
def generate_timestamp(): | |
return datetime.datetime( | |
random.randint(1970, 2070), | |
random.randint(1, 12), | |
random.randint(1, 28), | |
random.randint(0, 23), | |
random.randint(0, 59), | |
random.randint(0, 59), | |
random.randint(0, 999999), | |
tzinfo=datetime.timezone.utc, | |
).isoformat("T") | |
def generate_row(): | |
return { | |
"group_key": generate_group_key(), | |
"bool_col": nullable(lambda: random.choice((True, False))), | |
"bytes_col": nullable(generate_bytes), | |
"date_col": nullable(generate_date), | |
"float_col": nullable(lambda: random.uniform(MIN_FLOAT, MAX_FLOAT)), | |
"int_col": nullable(lambda: random.randint(-(2 ** 63), 2 ** 63 - 1)), | |
"string_col": nullable(generate_string), | |
"timestamp_col": nullable(generate_timestamp), | |
} | |
json_schema = { | |
"type": "record", | |
"name": "randomized_data", | |
"namespace": "spannerexport", | |
"fields": [ | |
{"name": "group_key", "type": ["null", "string"], "sqlType": "STRING(MAX)"}, | |
{"name": "bool_col", "type": ["null", "boolean"], "sqlType": "BOOL"}, | |
{"name": "bytes_col", "type": ["null", "bytes"], "sqlType": "BYTES(MAX)"}, | |
{"name": "date_col", "type": ["null", "string"], "sqlType": "DATE"}, | |
{"name": "float_col", "type": ["null", "double"], "sqlType": "FLOAT64"}, | |
{"name": "int_col", "type": ["null", "long"], "sqlType": "INT64"}, | |
{"name": "string_col", "type": ["null", "string"], "sqlType": "STRING(MAX)"}, | |
{"name": "timestamp_col", "type": ["null", "string"], "sqlType": "TIMESTAMP"}, | |
], | |
"googleStorage": "CloudSpanner", | |
"spannerPrimaryKey": "`int_col` ASC", | |
"spannerPrimaryKey_0": "`int_col` ASC", | |
"googleFormatVersion": "1.0.0", | |
} | |
parsed_schema = fastavro.parse_schema(json_schema) | |
for filenum in range(TOTAL_FILES): | |
rows = [generate_row() for _ in range(ROWS)] | |
with open(f"randomized_data.avro-{filenum:05}-of-{TOTAL_FILES:05}", "wb") as out: | |
fastavro.write.writer(out, parsed_schema, rows) |
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# Copyright 2020 Google LLC | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# https://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, | |
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
# See the License for the specific language governing permissions and | |
# limitations under the License. | |
import base64 | |
import json | |
import pathlib | |
import hashlib | |
files = [] | |
for filepath in pathlib.Path(__file__).parent.glob("randomized_data.avro-*"): | |
md5 = hashlib.md5() | |
with open(filepath, "rb") as f: | |
md5.update(f.read()) | |
files.append( | |
{ | |
"name": filepath.name, | |
"md5": base64.b64encode(md5.digest()).decode("utf-8"), | |
} | |
) | |
with open("randomized_data-manifest.json", "w") as f: | |
json.dump({"files": files}, f, indent=2) |
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{ | |
"tables": [{ | |
"name": "randomized_data", | |
"manifestFile": "randomized_data-manifest.json" | |
}] | |
} |
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