232 lines
7.9 KiB
Python
232 lines
7.9 KiB
Python
import boto3
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import sure # noqa # pylint: disable=unused-import
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import pytest
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from moto import mock_dynamodb
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from botocore.exceptions import ClientError
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def _create_user_table():
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client = boto3.client("dynamodb", region_name="us-east-1")
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client.create_table(
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TableName="users",
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KeySchema=[{"AttributeName": "username", "KeyType": "HASH"}],
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AttributeDefinitions=[{"AttributeName": "username", "AttributeType": "S"}],
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ProvisionedThroughput={"ReadCapacityUnits": 5, "WriteCapacityUnits": 5},
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)
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client.put_item(
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TableName="users", Item={"username": {"S": "user1"}, "foo": {"S": "bar"}}
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)
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client.put_item(
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TableName="users", Item={"username": {"S": "user2"}, "foo": {"S": "bar"}}
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)
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client.put_item(
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TableName="users", Item={"username": {"S": "user3"}, "foo": {"S": "bar"}}
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)
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return client
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@mock_dynamodb
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def test_batch_items_returns_all():
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dynamodb = _create_user_table()
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returned_items = dynamodb.batch_get_item(
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RequestItems={
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"users": {
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"Keys": [
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{"username": {"S": "user0"}},
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{"username": {"S": "user1"}},
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{"username": {"S": "user2"}},
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{"username": {"S": "user3"}},
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],
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"ConsistentRead": True,
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}
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}
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)["Responses"]["users"]
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assert len(returned_items) == 3
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assert [item["username"]["S"] for item in returned_items] == [
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"user1",
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"user2",
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"user3",
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]
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@mock_dynamodb
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def test_batch_items_throws_exception_when_requesting_100_items_for_single_table():
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dynamodb = _create_user_table()
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with pytest.raises(ClientError) as ex:
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dynamodb.batch_get_item(
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RequestItems={
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"users": {
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"Keys": [
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{"username": {"S": "user" + str(i)}} for i in range(0, 104)
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],
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"ConsistentRead": True,
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}
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}
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)
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ex.value.response["Error"]["Code"].should.equal("ValidationException")
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msg = ex.value.response["Error"]["Message"]
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msg.should.contain("1 validation error detected: Value")
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msg.should.contain(
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"at 'requestItems.users.member.keys' failed to satisfy constraint: Member must have length less than or equal to 100"
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)
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@mock_dynamodb
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def test_batch_items_throws_exception_when_requesting_100_items_across_all_tables():
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dynamodb = _create_user_table()
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with pytest.raises(ClientError) as ex:
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dynamodb.batch_get_item(
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RequestItems={
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"users": {
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"Keys": [
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{"username": {"S": "user" + str(i)}} for i in range(0, 75)
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],
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"ConsistentRead": True,
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},
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"users2": {
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"Keys": [
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{"username": {"S": "user" + str(i)}} for i in range(0, 75)
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],
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"ConsistentRead": True,
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},
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}
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)
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ex.value.response["Error"]["Code"].should.equal("ValidationException")
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ex.value.response["Error"]["Message"].should.equal(
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"Too many items requested for the BatchGetItem call"
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)
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@mock_dynamodb
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def test_batch_items_with_basic_projection_expression():
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dynamodb = _create_user_table()
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returned_items = dynamodb.batch_get_item(
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RequestItems={
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"users": {
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"Keys": [
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{"username": {"S": "user0"}},
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{"username": {"S": "user1"}},
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{"username": {"S": "user2"}},
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{"username": {"S": "user3"}},
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],
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"ConsistentRead": True,
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"ProjectionExpression": "username",
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}
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}
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)["Responses"]["users"]
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returned_items.should.have.length_of(3)
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[item["username"]["S"] for item in returned_items].should.be.equal(
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["user1", "user2", "user3"]
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)
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[item.get("foo") for item in returned_items].should.be.equal([None, None, None])
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# The projection expression should not remove data from storage
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returned_items = dynamodb.batch_get_item(
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RequestItems={
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"users": {
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"Keys": [
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{"username": {"S": "user0"}},
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{"username": {"S": "user1"}},
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{"username": {"S": "user2"}},
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{"username": {"S": "user3"}},
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],
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"ConsistentRead": True,
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}
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}
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)["Responses"]["users"]
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[item["username"]["S"] for item in returned_items].should.be.equal(
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["user1", "user2", "user3"]
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)
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[item["foo"]["S"] for item in returned_items].should.be.equal(["bar", "bar", "bar"])
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@mock_dynamodb
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def test_batch_items_with_basic_projection_expression_and_attr_expression_names():
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dynamodb = _create_user_table()
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returned_items = dynamodb.batch_get_item(
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RequestItems={
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"users": {
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"Keys": [
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{"username": {"S": "user0"}},
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{"username": {"S": "user1"}},
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{"username": {"S": "user2"}},
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{"username": {"S": "user3"}},
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],
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"ConsistentRead": True,
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"ProjectionExpression": "#rl",
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"ExpressionAttributeNames": {"#rl": "username"},
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}
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}
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)["Responses"]["users"]
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returned_items.should.have.length_of(3)
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[item["username"]["S"] for item in returned_items].should.be.equal(
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["user1", "user2", "user3"]
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)
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[item.get("foo") for item in returned_items].should.be.equal([None, None, None])
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@mock_dynamodb
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def test_batch_items_should_throw_exception_for_duplicate_request():
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client = _create_user_table()
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with pytest.raises(ClientError) as ex:
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client.batch_get_item(
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RequestItems={
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"users": {
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"Keys": [
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{"username": {"S": "user0"}},
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{"username": {"S": "user0"}},
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],
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"ConsistentRead": True,
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}
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}
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)
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ex.value.response["Error"]["Code"].should.equal("ValidationException")
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ex.value.response["Error"]["Message"].should.equal(
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"Provided list of item keys contains duplicates"
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)
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@mock_dynamodb
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def test_batch_items_should_return_16mb_max():
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"""
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A single operation can retrieve up to 16 MB of data [...]. BatchGetItem returns a partial result if the response size limit is exceeded [..].
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For example, if you ask to retrieve 100 items, but each individual item is 300 KB in size,
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the system returns 52 items (so as not to exceed the 16 MB limit).
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It also returns an appropriate UnprocessedKeys value so you can get the next page of results.
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If desired, your application can include its own logic to assemble the pages of results into one dataset.
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"""
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client = _create_user_table()
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# Fill table with all the data
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for i in range(100):
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client.put_item(
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TableName="users",
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Item={"username": {"S": f"largedata{i}"}, "foo": {"S": "x" * 300000}},
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)
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resp = client.batch_get_item(
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RequestItems={
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"users": {
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"Keys": [{"username": {"S": f"largedata{i}"}} for i in range(75)],
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"ConsistentRead": True,
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}
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}
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)
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resp["Responses"]["users"].should.have.length_of(55)
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unprocessed_keys = resp["UnprocessedKeys"]["users"]["Keys"]
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# 75 requested, 55 returned --> 20 unprocessed
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unprocessed_keys.should.have.length_of(20)
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# Keys 55-75 are unprocessed
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unprocessed_keys.should.contain({"username": {"S": "largedata55"}})
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unprocessed_keys.should.contain({"username": {"S": "largedata65"}})
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# Keys 0-55 are processed in the regular response, so they shouldn't show up here
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unprocessed_keys.shouldnt.contain({"username": {"S": "largedata45"}})
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