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# Copyright (C) 2021 The Software Heritage developers
# See the AUTHORS file at the top-level directory of this distribution
# License: GNU General Public License version 3, or any later version
# See top-level LICENSE file for more information
"""
This module implements the "athena" subcommands for the CLI. It can install and
query a remote AWS Athena database.
"""
import datetime
import logging
import os
import sys
import textwrap
import time
import boto3
import botocore.exceptions
from swh.dataset.relational import TABLES
def create_database(database_name):
return "CREATE DATABASE IF NOT EXISTS {};".format(database_name)
def drop_table(database_name, table):
return "DROP TABLE IF EXISTS {}.{};".format(database_name, table)
def create_table(database_name, table, location_prefix):
req = textwrap.dedent(
"""\
CREATE EXTERNAL TABLE IF NOT EXISTS {db}.{table} (
{fields}
)
STORED AS ORC
LOCATION '{location}/'
TBLPROPERTIES ("orc.compress"="ZSTD");
"""
).format(
db=database_name,
table=table,
fields=",\n".join(
[
" `{}` {}".format(col_name, col_type)
for col_name, col_type in TABLES[table]
]
),
location=os.path.join(location_prefix, "orc", table),
)
return req
def repair_table(database_name, table):
return "MSCK REPAIR TABLE {}.{};".format(database_name, table)
def query(client, query_string, *, desc="Querying", delay_secs=0.5, silent=False):
def log(*args, **kwargs):
if not silent:
print(*args, **kwargs, flush=True, file=sys.stderr)
log(desc, end="...")
query_options = {
"QueryString": query_string,
"ResultConfiguration": {},
"QueryExecutionContext": {},
}
if client.output_location:
query_options["ResultConfiguration"]["OutputLocation"] = client.output_location
if client.database_name:
query_options["QueryExecutionContext"]["Database"] = client.database_name
try:
res = client.start_query_execution(**query_options)
except botocore.exceptions.ClientError as e:
raise RuntimeError(
str(e) + "\n\nQuery:\n" + textwrap.indent(query_string, " " * 2)
)
qid = res["QueryExecutionId"]
while True:
time.sleep(delay_secs)
log(".", end="")
execution = client.get_query_execution(QueryExecutionId=qid)
status = execution["QueryExecution"]["Status"]
if status["State"] in ("SUCCEEDED", "FAILED", "CANCELLED"):
break
log(" {}.".format(status["State"]))
if status["State"] != "SUCCEEDED":
raise RuntimeError(
status["StateChangeReason"]
+ "\n\nQuery:\n"
+ textwrap.indent(query_string, " " * 2)
)
return execution["QueryExecution"]
def create_tables(database_name, dataset_location, output_location=None, replace=False):
"""
Create the Software Heritage Dataset tables on AWS Athena.
Athena works on external columnar data stored in S3, but requires a schema
for each table to run queries. This creates all the necessary tables
remotely by using the relational schemas in swh.dataset.relational.
"""
client = boto3.client("athena")
client.output_location = output_location
client.database_name = database_name
query(
client,
create_database(database_name),
desc="Creating {} database".format(database_name),
)
if replace:
for table in TABLES:
query(
client,
drop_table(database_name, table),
desc="Dropping table {}".format(table),
)
for table in TABLES:
query(
client,
create_table(database_name, table, dataset_location),
desc="Creating table {}".format(table),
)
for table in TABLES:
query(
client,
repair_table(database_name, table),
desc="Refreshing table metadata for {}".format(table),
)
def human_size(n, units=["bytes", "KiB", "MiB", "GiB", "TiB", "PiB", "EiB"]):
""" Returns a human readable string representation of bytes """
return f"{n} " + units[0] if n < 1024 else human_size(n >> 10, units[1:])
def _s3_url_to_bucket_path(s3_url):
loc = s3_url.removeprefix("s3://")
bucket, path = loc.split("/", 1)
return bucket, path
def run_query_get_results(
database_name, query_string, output_location=None,
):
"""
Run a query on AWS Athena and return the resulting data in CSV format.
"""
athena = boto3.client("athena")
athena.output_location = output_location
athena.database_name = database_name
s3 = boto3.client("s3")
result = query(athena, query_string, silent=True)
logging.info(
"Scanned %s in %s",
human_size(result["Statistics"]["DataScannedInBytes"]),
datetime.timedelta(
milliseconds=result["Statistics"]["TotalExecutionTimeInMillis"]
),
)
bucket, path = _s3_url_to_bucket_path(
result["ResultConfiguration"]["OutputLocation"]
)
return s3.get_object(Bucket=bucket, Key=path)["Body"].read().decode()
def generate_subdataset(
dataset_db, subdataset_db, subdataset_s3_path, swhids_file, output_location=None,
):
# Upload list of all the swhids included in the dataset
subdataset_bucket, subdataset_path = _s3_url_to_bucket_path(subdataset_s3_path)
s3_client = boto3.client("s3")
print(f"Uploading {swhids_file} to S3...")
s3_client.upload_file(
swhids_file,
subdataset_bucket,
os.path.join(subdataset_path, "swhids", "swhids.csv"),
)
athena_client = boto3.client("athena")
athena_client.output_location = output_location
athena_client.database_name = subdataset_db
# Create subdataset database
query(
athena_client,
create_database(subdataset_db),
desc="Creating {} database".format(subdataset_db),
)
# Create SWHID temporary table
create_swhid_table_query = textwrap.dedent(
"""\
CREATE EXTERNAL TABLE IF NOT EXISTS {newdb}.swhids (
swhprefix string,
version int,
type string,
hash string
)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY ':'
STORED AS TEXTFILE
LOCATION '{location}/swhids/'
"""
).format(newdb=subdataset_db, location=subdataset_s3_path)
query(
athena_client,
create_swhid_table_query,
desc="Creating SWHIDs table of subdataset",
)
query(
athena_client,
repair_table(subdataset_db, "swhids"),
desc="Refreshing table metadata for swhids table",
)
# Create join tables
query_tpl = textwrap.dedent(
"""\
CREATE TABLE IF NOT EXISTS {newdb}.{table}
WITH (
format = 'ORC',
write_compression = 'ZSTD',
external_location = '{location}/{table}/'
)
AS SELECT * FROM {basedb}.{table}
WHERE {field} IN (select hash from swhids)
"""
)
tables_join_field = [
("origin", "lower(to_hex(sha1(to_utf8(url))))"),
("origin_visit", "lower(to_hex(sha1(to_utf8(origin))))"),
("origin_visit_status", "lower(to_hex(sha1(to_utf8(origin))))"),
("snapshot", "id"),
("snapshot_branch", "snapshot_id"),
("release", "id"),
("revision", "id"),
("revision_history", "id"),
("directory", "id"),
("directory_entry", "directory_id"),
("content", "sha1_git"),
("skipped_content", "sha1_git"),
]
for table, join_field in tables_join_field:
ctas_query = query_tpl.format(
newdb=subdataset_db,
basedb=dataset_db,
location=subdataset_s3_path,
table=table,
field=join_field,
)
# Temporary fix: Athena no longer supports >32MB rows, but some of
# the objects were added to the dataset before this restriction was
# in place.
if table == "revision":
ctas_query += " AND length(message) < 100000"
query(
athena_client, ctas_query, desc="Creating join table {}".format(table),
)

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