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driver_test.cc
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driver_test.cc
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// Copyright 2020 The TensorStore Authors
//
// 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
//
// http://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.
/// End-to-end tests of the zarr driver.
#include <stdint.h>
#include <iostream>
#include <string>
#include <string_view>
#include <tuple>
#include <utility>
#include <vector>
#include <gmock/gmock.h>
#include <gtest/gtest.h>
#include "absl/base/optimization.h"
#include "absl/status/status.h"
#include "absl/strings/cord.h"
#include "absl/time/clock.h"
#include "absl/time/time.h"
#include <nlohmann/json_fwd.hpp>
#include "tensorstore/array.h"
#include "tensorstore/box.h"
#include "tensorstore/chunk_layout.h"
#include "tensorstore/context.h"
#include "tensorstore/contiguous_layout.h"
#include "tensorstore/data_type.h"
#include "tensorstore/driver/driver_testutil.h"
#include "tensorstore/driver/zarr/dtype.h"
#include "tensorstore/index.h"
#include "tensorstore/index_space/dim_expression.h"
#include "tensorstore/index_space/index_domain.h"
#include "tensorstore/index_space/index_domain_builder.h"
#include "tensorstore/index_space/index_transform.h"
#include "tensorstore/index_space/index_transform_builder.h"
#include "tensorstore/internal/compression/blosc.h"
#include "tensorstore/internal/decoded_matches.h"
#include "tensorstore/internal/global_initializer.h"
#include "tensorstore/internal/json/json.h"
#include "tensorstore/internal/json_binding/gtest.h"
#include "tensorstore/internal/json_gtest.h"
#include "tensorstore/internal/parse_json_matches.h"
#include "tensorstore/json_serialization_options_base.h"
#include "tensorstore/kvstore/kvstore.h"
#include "tensorstore/kvstore/memory/memory_key_value_store.h"
#include "tensorstore/kvstore/mock_kvstore.h"
#include "tensorstore/kvstore/operations.h"
#include "tensorstore/kvstore/spec.h"
#include "tensorstore/kvstore/test_matchers.h"
#include "tensorstore/kvstore/test_util.h"
#include "tensorstore/open.h"
#include "tensorstore/open_mode.h"
#include "tensorstore/rank.h"
#include "tensorstore/resize_options.h"
#include "tensorstore/schema.h"
#include "tensorstore/spec.h"
#include "tensorstore/staleness_bound.h"
#include "tensorstore/strided_layout.h"
#include "tensorstore/tensorstore.h"
#include "tensorstore/transaction.h"
#include "tensorstore/util/dimension_set.h"
#include "tensorstore/util/result.h"
#include "tensorstore/util/span.h"
#include "tensorstore/util/status_testutil.h"
#include "tensorstore/util/str_cat.h"
namespace {
namespace kvstore = tensorstore::kvstore;
using ::tensorstore::ChunkLayout;
using ::tensorstore::Context;
using ::tensorstore::DimensionIndex;
using ::tensorstore::DimensionSet;
using ::tensorstore::dtype_v;
using ::tensorstore::Index;
using ::tensorstore::kImplicit;
using ::tensorstore::MatchesJson;
using ::tensorstore::MatchesStatus;
using ::tensorstore::Schema;
using ::tensorstore::span;
using ::tensorstore::StrCat;
using ::tensorstore::dtypes::complex64_t;
using ::tensorstore::internal::DecodedMatches;
using ::tensorstore::internal::GetMap;
using ::tensorstore::internal::MatchesListEntry;
using ::tensorstore::internal::ParseJsonMatches;
using ::tensorstore::internal::TestSpecSchema;
using ::tensorstore::internal::TestTensorStoreCreateCheckSchema;
using ::tensorstore::internal::TestTensorStoreCreateWithSchema;
using ::testing::ElementsAreArray;
using ::testing::Pair;
using ::testing::UnorderedElementsAreArray;
std::string Bytes(std::vector<unsigned char> values) {
return std::string(reinterpret_cast<const char*>(values.data()),
values.size());
}
::nlohmann::json GetJsonSpec() {
return {
{"driver", "zarr"},
{"kvstore", {{"driver", "memory"}, {"path", "prefix/"}}},
{"metadata",
{
{"compressor", {{"id", "blosc"}}},
{"dtype", "<i2"},
{"shape", {100, 100}},
{"chunks", {3, 2}},
}},
};
}
TEST(OpenTest, DeleteExistingWithoutCreate) {
EXPECT_THAT(
tensorstore::Open(
GetJsonSpec(),
tensorstore::OpenMode::delete_existing | tensorstore::OpenMode::open,
tensorstore::ReadWriteMode::read_write)
.result(),
MatchesStatus(
absl::StatusCode::kInvalidArgument,
"Error opening \"zarr\" driver: "
"Cannot specify an open mode of `delete_existing` without `create`"));
}
TEST(OpenTest, DeleteExistingWithOpen) {
EXPECT_THAT(
tensorstore::Open(GetJsonSpec(),
tensorstore::OpenMode::delete_existing |
tensorstore::OpenMode::open |
tensorstore::OpenMode::create,
tensorstore::ReadWriteMode::read_write)
.result(),
MatchesStatus(
absl::StatusCode::kInvalidArgument,
"Error opening \"zarr\" driver: "
"Cannot specify an open mode of `delete_existing` with `open`"));
}
TEST(OpenTest, CreateWithoutWrite) {
EXPECT_THAT(
tensorstore::Open(GetJsonSpec(), tensorstore::OpenMode::create,
tensorstore::ReadWriteMode::read)
.result(),
MatchesStatus(absl::StatusCode::kInvalidArgument,
"Error opening \"zarr\" driver: "
"Cannot specify an open mode of `create` without `write`"));
}
TEST(OpenTest, AssumeExistingWithoutOpen) {
EXPECT_THAT(tensorstore::Open(GetJsonSpec(),
tensorstore::OpenMode::create |
tensorstore::OpenMode::assume_metadata,
tensorstore::ReadWriteMode::read_write)
.result(),
MatchesStatus(absl::StatusCode::kInvalidArgument,
"Error opening \"zarr\" driver: "
"Cannot specify an open mode of `assume_metadata` "
"without `open`"));
}
TEST(ZarrDriverTest, OpenNonExisting) {
EXPECT_THAT(tensorstore::Open(GetJsonSpec(), tensorstore::OpenMode::open,
tensorstore::ReadWriteMode::read_write)
.result(),
MatchesStatus(absl::StatusCode::kNotFound,
"Error opening \"zarr\" driver: "
"Metadata at \"prefix/\\.zarray\" does not exist"));
}
TEST(ZarrDriverTest, OpenOrCreate) {
TENSORSTORE_EXPECT_OK(tensorstore::Open(
GetJsonSpec(),
tensorstore::OpenMode::open | tensorstore::OpenMode::create,
tensorstore::ReadWriteMode::read_write));
}
TEST(ZarrDriverTest, OpenInvalidRank) {
auto spec = GetJsonSpec();
spec["rank"] = 3;
EXPECT_THAT(
tensorstore::Open(
spec, tensorstore::OpenMode::open | tensorstore::OpenMode::create,
tensorstore::ReadWriteMode::read_write)
.result(),
MatchesStatus(absl::StatusCode::kInvalidArgument, ".*Rank.*"));
}
TEST(ZarrDriverTest, Create) {
::nlohmann::json json_spec = GetJsonSpec();
auto context = Context::Default();
// Create the store.
{
TENSORSTORE_ASSERT_OK_AND_ASSIGN(
auto store,
tensorstore::Open(json_spec, context, tensorstore::OpenMode::create,
tensorstore::ReadWriteMode::read_write)
.result());
EXPECT_THAT(store.domain().origin(), ::testing::ElementsAre(0, 0));
EXPECT_THAT(store.domain().shape(), ::testing::ElementsAre(100, 100));
EXPECT_THAT(store.domain().labels(), ::testing::ElementsAre("", ""));
EXPECT_THAT(store.domain().implicit_lower_bounds(),
DimensionSet::FromBools({0, 0}));
EXPECT_THAT(store.domain().implicit_upper_bounds(),
DimensionSet::FromBools({1, 1}));
// Test ResolveBounds.
auto resolved = ResolveBounds(store).value();
EXPECT_EQ(store.domain(), resolved.domain());
// Test ResolveBounds with a transform that swaps upper and lower bounds.
TENSORSTORE_ASSERT_OK_AND_ASSIGN(
auto reversed_dim0,
store | tensorstore::Dims(0).ClosedInterval(kImplicit, kImplicit, -1));
auto resolved_reversed_dim0 = ResolveBounds(reversed_dim0).value();
EXPECT_EQ(reversed_dim0.domain(), resolved_reversed_dim0.domain());
// Issue a read to be filled with the fill value.
EXPECT_THAT(tensorstore::Read<tensorstore::zero_origin>(
store | tensorstore::AllDims().TranslateSizedInterval(
{9, 7}, {1, 1}))
.result(),
::testing::Optional(tensorstore::MakeArray<int16_t>({{0}})));
// Issue an out-of-bounds read.
EXPECT_THAT(tensorstore::Read<tensorstore::zero_origin>(
store | tensorstore::AllDims().TranslateSizedInterval(
{100, 7}, {1, 1}))
.result(),
MatchesStatus(absl::StatusCode::kOutOfRange));
// Issue a valid write.
TENSORSTORE_EXPECT_OK(tensorstore::Write(
tensorstore::MakeArray<int16_t>({{1, 2, 3}, {4, 5, 6}}),
store | tensorstore::AllDims().TranslateSizedInterval({9, 8}, {2, 3})));
// Issue an out-of-bounds write.
EXPECT_THAT(tensorstore::Write(
tensorstore::MakeArray<int16_t>({{1, 2, 3}, {4, 5, 6}}),
store | tensorstore::AllDims().TranslateSizedInterval(
{100, 8}, {2, 3}))
.result(),
MatchesStatus(absl::StatusCode::kOutOfRange));
// Re-read and validate result.
EXPECT_THAT(tensorstore::Read<tensorstore::zero_origin>(
store | tensorstore::AllDims().TranslateSizedInterval(
{9, 7}, {3, 5}))
.result(),
::testing::Optional(tensorstore::MakeArray<int16_t>(
{{0, 1, 2, 3, 0}, {0, 4, 5, 6, 0}, {0, 0, 0, 0, 0}})));
}
// Check that key value store has expected contents.
EXPECT_THAT(
GetMap(kvstore::Open({{"driver", "memory"}}, context).value()).value(),
UnorderedElementsAreArray({
Pair("prefix/.zarray", //
::testing::MatcherCast<absl::Cord>(ParseJsonMatches({
{"zarr_format", 2},
{"order", "C"},
{"filters", nullptr},
{"fill_value", nullptr},
{"compressor",
{{"id", "blosc"},
{"blocksize", 0},
{"clevel", 5},
{"cname", "lz4"},
{"shuffle", -1}}},
{"dtype", "<i2"},
{"shape", {100, 100}},
{"chunks", {3, 2}},
{"dimension_separator", "."},
}))),
Pair("prefix/3.4", //
DecodedMatches( //
Bytes({1, 0, 2, 0, 4, 0, 5, 0, 0, 0, 0, 0}),
tensorstore::blosc::Decode)),
Pair("prefix/3.5", //
DecodedMatches( //
Bytes({3, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0}),
tensorstore::blosc::Decode)),
}));
// Check that attempting to create the store again fails.
EXPECT_THAT(
tensorstore::Open(json_spec, context, tensorstore::OpenMode::create,
tensorstore::ReadWriteMode::read_write)
.result(),
MatchesStatus(absl::StatusCode::kAlreadyExists,
"Error opening \"zarr\" driver: "
"Error writing \"prefix/\\.zarray\""));
// Check that create or open succeeds.
TENSORSTORE_EXPECT_OK(tensorstore::Open(
json_spec, context,
tensorstore::OpenMode::create | tensorstore::OpenMode::open,
tensorstore::ReadWriteMode::read_write));
// Check that open succeeds.
{
TENSORSTORE_ASSERT_OK_AND_ASSIGN(
auto store,
tensorstore::Open(json_spec, context, tensorstore::OpenMode::open,
tensorstore::ReadWriteMode::read_write)
.result());
EXPECT_THAT(tensorstore::Read<tensorstore::zero_origin>(
store | tensorstore::AllDims().TranslateSizedInterval(
{9, 7}, {3, 5}))
.result(),
::testing::Optional(tensorstore::MakeArray<int16_t>(
{{0, 1, 2, 3, 0}, {0, 4, 5, 6, 0}, {0, 0, 0, 0, 0}})));
}
// Check that delete_existing works.
for (auto transaction_mode :
{tensorstore::TransactionMode::no_transaction_mode,
tensorstore::TransactionMode::isolated,
tensorstore::TransactionMode::atomic_isolated}) {
tensorstore::Transaction transaction(transaction_mode);
TENSORSTORE_ASSERT_OK_AND_ASSIGN(
auto store,
tensorstore::Open(json_spec, context, transaction,
tensorstore::OpenMode::create |
tensorstore::OpenMode::delete_existing,
tensorstore::ReadWriteMode::read_write)
.result());
EXPECT_THAT(tensorstore::Read<tensorstore::zero_origin>(
store | tensorstore::AllDims().TranslateSizedInterval(
{9, 7}, {3, 5}))
.result(),
::testing::Optional(tensorstore::MakeArray<int16_t>(
{{0, 0, 0, 0, 0}, {0, 0, 0, 0, 0}, {0, 0, 0, 0, 0}})));
TENSORSTORE_ASSERT_OK(transaction.CommitAsync());
TENSORSTORE_ASSERT_OK_AND_ASSIGN(
auto kvs, kvstore::Open({{"driver", "memory"}}, context).result());
EXPECT_THAT(
ListFuture(kvs).value(),
::testing::UnorderedElementsAre(MatchesListEntry("prefix/.zarray")));
}
}
// Tests that a non-default `metadata_key` value in the spec works.
TEST(ZarrDriverTest, CreateWithMetadataKey) {
::nlohmann::json json_spec = GetJsonSpec();
json_spec["metadata_key"] = "zarray";
auto context = Context::Default();
// Create the store.
{
TENSORSTORE_ASSERT_OK_AND_ASSIGN(
auto store,
tensorstore::Open(json_spec, context, tensorstore::OpenMode::create,
tensorstore::ReadWriteMode::read_write)
.result());
// Issue a valid write.
TENSORSTORE_EXPECT_OK(tensorstore::Write(
tensorstore::MakeArray<int16_t>({{1, 2, 3}, {4, 5, 6}}),
store | tensorstore::AllDims().TranslateSizedInterval({9, 8}, {2, 3})));
TENSORSTORE_ASSERT_OK_AND_ASSIGN(
auto spec, store.spec(tensorstore::MinimalSpec{true}));
EXPECT_THAT(spec.ToJson(),
::testing::Optional(MatchesJson(
{{"driver", "zarr"},
{"kvstore", {{"driver", "memory"}, {"path", "prefix/"}}},
{"dtype", "int16"},
{"transform",
{{"input_inclusive_min", {0, 0}},
{"input_exclusive_max", {{100}, {100}}}}},
{"metadata_key", "zarray"}})));
}
// Check that key value store has expected contents.
EXPECT_THAT(
GetMap(kvstore::Open({{"driver", "memory"}}, context).value()).value(),
UnorderedElementsAreArray({
Pair("prefix/zarray", //
::testing::MatcherCast<absl::Cord>(ParseJsonMatches({
{"zarr_format", 2},
{"order", "C"},
{"filters", nullptr},
{"fill_value", nullptr},
{"compressor",
{{"id", "blosc"},
{"blocksize", 0},
{"clevel", 5},
{"cname", "lz4"},
{"shuffle", -1}}},
{"dtype", "<i2"},
{"shape", {100, 100}},
{"chunks", {3, 2}},
{"dimension_separator", "."},
}))),
Pair("prefix/3.4", //
DecodedMatches( //
Bytes({1, 0, 2, 0, 4, 0, 5, 0, 0, 0, 0, 0}),
tensorstore::blosc::Decode)),
Pair("prefix/3.5", //
DecodedMatches( //
Bytes({3, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0}),
tensorstore::blosc::Decode)),
}));
// Check that attempting to create the store again fails.
EXPECT_THAT(
tensorstore::Open(json_spec, context, tensorstore::OpenMode::create,
tensorstore::ReadWriteMode::read_write)
.result(),
MatchesStatus(absl::StatusCode::kAlreadyExists,
"Error opening \"zarr\" driver: "
"Error writing \"prefix/zarray\""));
// Check that create or open succeeds.
TENSORSTORE_EXPECT_OK(tensorstore::Open(
json_spec, context,
tensorstore::OpenMode::create | tensorstore::OpenMode::open,
tensorstore::ReadWriteMode::read_write));
// Check that open succeeds.
{
TENSORSTORE_ASSERT_OK_AND_ASSIGN(
auto store,
tensorstore::Open(json_spec, context, tensorstore::OpenMode::open,
tensorstore::ReadWriteMode::read_write)
.result());
EXPECT_THAT(tensorstore::Read<tensorstore::zero_origin>(
store | tensorstore::AllDims().TranslateSizedInterval(
{9, 7}, {3, 5}))
.result(),
::testing::Optional(tensorstore::MakeArray<int16_t>(
{{0, 1, 2, 3, 0}, {0, 4, 5, 6, 0}, {0, 0, 0, 0, 0}})));
}
}
TEST(ZarrDriverTest, OpenMode) {
TENSORSTORE_ASSERT_OK_AND_ASSIGN(auto spec,
tensorstore::Spec::FromJson(GetJsonSpec()));
// Initially defaults to "open".
EXPECT_EQ(tensorstore::OpenMode::open, spec.open_mode());
TENSORSTORE_ASSERT_OK(spec.Set(tensorstore::OpenMode::create));
EXPECT_EQ(tensorstore::OpenMode::create, spec.open_mode());
}
// Tests that the metadata cache avoids repeated requests.
TEST(ZarrDriverTest, MetadataCache) {
Context context = Context::Default();
TENSORSTORE_ASSERT_OK_AND_ASSIGN(
auto mock_key_value_store_resource,
context.GetResource<tensorstore::internal::MockKeyValueStoreResource>());
auto mock_key_value_store = *mock_key_value_store_resource;
auto memory_store = tensorstore::GetMemoryKeyValueStore();
::nlohmann::json json_spec{
{"driver", "zarr"},
{"kvstore",
{
{"driver", "mock_key_value_store"},
{"path", "prefix/"},
}},
{"metadata",
{
{"compressor", {{"id", "blosc"}}},
{"dtype", "<i2"},
{"shape", {100, 100}},
{"chunks", {3, 2}},
}},
{"recheck_cached_metadata", false},
{"create", true},
{"open", true},
};
auto store_future = tensorstore::Open(json_spec, context);
store_future.Force();
mock_key_value_store->read_requests.pop()(memory_store);
mock_key_value_store->write_requests.pop()(memory_store);
TENSORSTORE_EXPECT_OK(store_future);
// Reopening should not result in any requests.
TENSORSTORE_EXPECT_OK(tensorstore::Open(json_spec, context));
}
class MockKeyValueStoreTest : public ::testing::Test {
protected:
Context context = Context::Default();
tensorstore::internal::MockKeyValueStore::MockPtr mock_key_value_store =
*context.GetResource<tensorstore::internal::MockKeyValueStoreResource>()
.value();
tensorstore::kvstore::DriverPtr memory_store =
tensorstore::GetMemoryKeyValueStore();
};
// Tests that an error when creating the metadata is handled correctly.
TEST_F(MockKeyValueStoreTest, CreateMetadataError) {
auto store_future = tensorstore::Open(
{
{"driver", "zarr"},
{"kvstore",
{
{"driver", "mock_key_value_store"},
{"path", "prefix/"},
}},
{"metadata",
{
{"compressor", {{"id", "blosc"}}},
{"dtype", "<i2"},
{"shape", {100, 100}},
{"chunks", {3, 2}},
}},
{"create", true},
{"open", true},
},
context);
store_future.Force();
mock_key_value_store->read_requests.pop()(memory_store);
mock_key_value_store->write_requests.pop().promise.SetResult(
absl::UnknownError("create error"));
EXPECT_THAT(store_future.result(),
MatchesStatus(absl::StatusCode::kUnknown,
"Error opening \"zarr\" driver: "
"Error writing \"prefix/\\.zarray\": "
"create error"));
}
// Tests concurrently creating a zarr array with `create=true` and `open=false`,
// using independent cache pools.
TEST_F(MockKeyValueStoreTest,
CreateMetadataConcurrentErrorIndependentCachePools) {
::nlohmann::json json_spec{
{"driver", "zarr"},
{"kvstore",
{
{"driver", "mock_key_value_store"},
{"path", "prefix/"},
}},
{"metadata",
{
{"compressor", {{"id", "blosc"}}},
{"dtype", "<i2"},
{"shape", {100, 100}},
{"chunks", {3, 2}},
}},
{"create", true},
// Ensure independent cache pools are used.
{"cache_pool", {{"total_bytes_limit", 0}}},
};
auto store_future1 = tensorstore::Open(json_spec, context);
auto store_future2 = tensorstore::Open(json_spec, context);
store_future1.Force();
store_future2.Force();
// Handling both read requests before the write requests ensures the create
// attempts happen concurrently.
mock_key_value_store->read_requests.pop()(memory_store);
mock_key_value_store->read_requests.pop()(memory_store);
mock_key_value_store->write_requests.pop()(memory_store);
mock_key_value_store->write_requests.pop()(memory_store);
mock_key_value_store->read_requests.pop()(memory_store);
// Exactly one of the create requests succeeds.
EXPECT_THAT(
std::vector({store_future1.status(), store_future2.status()}),
::testing::UnorderedElementsAre(
absl::OkStatus(), MatchesStatus(absl::StatusCode::kAlreadyExists,
"Error opening \"zarr\" driver: "
"Error writing \"prefix/.zarray\"")));
}
// Tests concurrently creating a zarr array with `create=true` and `open=false`,
// using a shared cache pool.
TEST(ZarrDriverTest, CreateMetadataConcurrentErrorSharedCachePool) {
auto context = Context::Default();
::nlohmann::json json_spec{
{"driver", "zarr"},
{"kvstore",
{
{"driver", "memory"},
{"path", "prefix/"},
}},
{"metadata",
{
{"compressor", {{"id", "blosc"}}},
{"dtype", "<i2"},
{"shape", {100, 100}},
{"chunks", {3, 2}},
}},
{"create", true},
};
auto store_future1 = tensorstore::Open(json_spec, context);
auto store_future2 = tensorstore::Open(json_spec, context);
store_future1.Force();
store_future2.Force();
// Exactly one of the create requests succeeds.
EXPECT_THAT(
std::vector({store_future1.status(), store_future2.status()}),
::testing::UnorderedElementsAre(
absl::OkStatus(), MatchesStatus(absl::StatusCode::kAlreadyExists,
"Error opening \"zarr\" driver: "
"Error writing \"prefix/.zarray\"")));
}
// Tests concurrently creating a zarr array with `create=true` and `open=true`,
// using independent cache pools.
TEST_F(MockKeyValueStoreTest,
CreateMetadataConcurrentSuccessIndependentCachePools) {
::nlohmann::json json_spec{
{"driver", "zarr"},
{"kvstore",
{
{"driver", "mock_key_value_store"},
{"path", "prefix/"},
}},
{"metadata",
{
{"compressor", {{"id", "blosc"}}},
{"dtype", "<i2"},
{"shape", {100, 100}},
{"chunks", {3, 2}},
}},
{"create", true},
{"open", true},
{"cache_pool", {{"total_bytes_limit", 0}}},
};
auto store_future1 = tensorstore::Open(json_spec, context);
auto store_future2 = tensorstore::Open(json_spec, context);
store_future1.Force();
store_future2.Force();
// Handling both read requests before the write requests ensures the create
// attempts happen concurrently.
mock_key_value_store->read_requests.pop()(memory_store);
mock_key_value_store->read_requests.pop()(memory_store);
mock_key_value_store->write_requests.pop()(memory_store);
mock_key_value_store->write_requests.pop()(memory_store);
mock_key_value_store->read_requests.pop()(memory_store);
TENSORSTORE_EXPECT_OK(store_future1.result());
TENSORSTORE_EXPECT_OK(store_future2.result());
}
// Tests concurrently creating a zarr array with `create=true` and `open=true`,
// using a shared cache pool.
TEST(ZarrDriverTest, CreateMetadataConcurrentSuccessSharedCachePool) {
auto context = Context::Default();
::nlohmann::json json_spec{
{"driver", "zarr"},
{"kvstore",
{
{"driver", "memory"},
{"path", "prefix/"},
}},
{"metadata",
{
{"compressor", {{"id", "blosc"}}},
{"dtype", "<i2"},
{"shape", {100, 100}},
{"chunks", {3, 2}},
}},
{"create", true},
{"open", true},
};
auto store_future1 = tensorstore::Open(json_spec, context);
auto store_future2 = tensorstore::Open(json_spec, context);
TENSORSTORE_EXPECT_OK(store_future1.result());
TENSORSTORE_EXPECT_OK(store_future2.result());
}
TEST_F(MockKeyValueStoreTest, CreateWithTransactionWriteError) {
::nlohmann::json json_spec{
{"driver", "zarr"},
{"kvstore",
{
{"driver", "mock_key_value_store"},
{"path", "prefix/"},
}},
{"metadata",
{
{"compressor", {{"id", "blosc"}}},
{"dtype", "<i2"},
{"shape", {100, 100}},
{"chunks", {3, 2}},
}},
{"create", true},
};
auto transaction = tensorstore::Transaction(tensorstore::isolated);
auto store_future = tensorstore::Open(json_spec, context, transaction);
mock_key_value_store->read_requests.pop()(memory_store);
TENSORSTORE_EXPECT_OK(store_future.result());
transaction.CommitAsync().IgnoreFuture();
mock_key_value_store->write_requests.pop().promise.SetResult(
absl::UnknownError("write error"));
EXPECT_THAT(transaction.future().result(),
MatchesStatus(absl::StatusCode::kUnknown,
"Error writing \"prefix/.zarray\": "
"write error"));
}
TEST_F(MockKeyValueStoreTest, CreateWithTransactionAlreadyExists) {
::nlohmann::json json_spec{
{"driver", "zarr"},
{"kvstore",
{
{"driver", "mock_key_value_store"},
{"path", "prefix/"},
}},
{"metadata",
{
{"compressor", {{"id", "blosc"}}},
{"dtype", "<i2"},
{"shape", {100, 100}},
{"chunks", {3, 2}},
}},
{"create", true},
// Ensure independent caches are used.
{"cache_pool", {{"total_bytes_limit", 0}}},
};
auto transaction = tensorstore::Transaction(tensorstore::isolated);
auto store_future = tensorstore::Open(json_spec, context, transaction);
mock_key_value_store->read_requests.pop()(memory_store);
TENSORSTORE_EXPECT_OK(store_future.result());
EXPECT_TRUE(mock_key_value_store->read_requests.empty());
EXPECT_TRUE(mock_key_value_store->write_requests.empty());
// Create the array before the transaction commit completes.
auto store2_future = tensorstore::Open(json_spec, context);
store2_future.Force();
mock_key_value_store->read_requests.pop()(memory_store);
mock_key_value_store->write_requests.pop()(memory_store);
TENSORSTORE_EXPECT_OK(store2_future.result());
transaction.CommitAsync().IgnoreFuture();
mock_key_value_store->write_requests.pop()(memory_store);
mock_key_value_store->read_requests.pop()(memory_store);
EXPECT_THAT(transaction.future().result(),
MatchesStatus(absl::StatusCode::kAlreadyExists,
"Error writing \"prefix/.zarray\""));
}
void TestCreateWriteRead(Context context, ::nlohmann::json json_spec) {
// Create the store.
{
TENSORSTORE_ASSERT_OK_AND_ASSIGN(
auto store,
tensorstore::Open(json_spec, context, tensorstore::OpenMode::create,
tensorstore::ReadWriteMode::read_write)
.result());
TENSORSTORE_EXPECT_OK(tensorstore::Write(
tensorstore::MakeArray<int16_t>({{1, 2, 3}, {4, 5, 6}}),
store | tensorstore::AllDims().TranslateSizedInterval({9, 8}, {2, 3})));
}
// Reopen the store.
{
TENSORSTORE_ASSERT_OK_AND_ASSIGN(
auto store,
tensorstore::Open(json_spec, context, tensorstore::OpenMode::open,
tensorstore::ReadWriteMode::read)
.result());
EXPECT_EQ(tensorstore::MakeArray<int16_t>(
{{0, 1, 2, 3, 0}, {0, 4, 5, 6, 0}, {0, 0, 0, 0, 0}}),
tensorstore::Read<tensorstore::zero_origin>(
store |
tensorstore::AllDims().TranslateSizedInterval({9, 7}, {3, 5}))
.value());
}
}
TEST(ZarrDriverTest, CreateBigEndian) {
::nlohmann::json json_spec{
{"driver", "zarr"},
{"kvstore",
{
{"driver", "memory"},
{"path", "prefix/"},
}},
{"metadata",
{
{"compressor", {{"id", "blosc"}}},
{"dtype", ">i2"},
{"shape", {100, 100}},
{"chunks", {3, 2}},
}},
};
auto context = Context::Default();
TestCreateWriteRead(context, json_spec);
// Check that key value store has expected contents.
EXPECT_THAT(
GetMap(kvstore::Open({{"driver", "memory"}}, context).value()).value(),
UnorderedElementsAreArray({
Pair("prefix/.zarray", //
::testing::MatcherCast<absl::Cord>(ParseJsonMatches({
{"zarr_format", 2},
{"order", "C"},
{"filters", nullptr},
{"fill_value", nullptr},
{"compressor",
{{"id", "blosc"},
{"blocksize", 0},
{"clevel", 5},
{"cname", "lz4"},
{"shuffle", -1}}},
{"dtype", ">i2"},
{"shape", {100, 100}},
{"chunks", {3, 2}},
{"dimension_separator", "."},
}))),
Pair("prefix/3.4", //
DecodedMatches( //
Bytes({0, 1, 0, 2, 0, 4, 0, 5, 0, 0, 0, 0}),
tensorstore::blosc::Decode)),
Pair("prefix/3.5", //
DecodedMatches( //
Bytes({0, 3, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0}),
tensorstore::blosc::Decode)),
}));
}
TEST(ZarrDriverTest, CreateRank0) {
::nlohmann::json json_spec{
{"driver", "zarr"},
{"kvstore",
{
{"driver", "memory"},
{"path", "prefix/"},
}},
{"metadata",
{
{"compressor", nullptr},
{"dtype", "<i2"},
{"shape", ::nlohmann::json::array_t()},
{"chunks", ::nlohmann::json::array_t()},
}},
{"create", true},
};
auto context = Context::Default();
TENSORSTORE_ASSERT_OK_AND_ASSIGN(
auto ts, tensorstore::Open(json_spec, context).result());
TENSORSTORE_ASSERT_OK(
tensorstore::Write(tensorstore::MakeScalarArray<int16_t>(42), ts));
// Check that key value store has expected contents.
EXPECT_THAT(
GetMap(kvstore::Open({{"driver", "memory"}}, context).value()).value(),
UnorderedElementsAreArray({
Pair("prefix/.zarray", //
::testing::MatcherCast<absl::Cord>(ParseJsonMatches({
{"zarr_format", 2},
{"order", "C"},
{"filters", nullptr},
{"fill_value", nullptr},
{"compressor", nullptr},
{"dtype", "<i2"},
{"shape", ::nlohmann::json::array_t()},
{"chunks", ::nlohmann::json::array_t()},
{"dimension_separator", "."},
}))),
Pair("prefix/0", //
::testing::MatcherCast<absl::Cord>(Bytes({42, 0}))),
}));
}
template <typename InternalFloat>
class InternalFloat8Test : public ::testing::Test {};
using InternalFloat8Types =
::testing::Types<::tensorstore::dtypes::float8_e4m3fn_t,
::tensorstore::dtypes::float8_e4m3fnuz_t,
::tensorstore::dtypes::float8_e4m3b11fnuz_t,
::tensorstore::dtypes::float8_e5m2_t,
::tensorstore::dtypes::float8_e5m2fnuz_t>;
TYPED_TEST_SUITE(InternalFloat8Test, InternalFloat8Types);
TYPED_TEST(InternalFloat8Test, ZarrDriverTest_Create) {
using FloatType = TypeParam;
TENSORSTORE_ASSERT_OK_AND_ASSIGN(
auto base_zarr_dtype,
::tensorstore::internal_zarr::ChooseBaseDType(dtype_v<FloatType>));
std::string dtype_str = base_zarr_dtype.encoded_dtype;
::nlohmann::json json_spec{
{"driver", "zarr"},
{"kvstore",
{
{"driver", "memory"},
{"path", "prefix/"},
}},
{"dtype", dtype_str},
{"metadata",
{
{"compressor", nullptr},
{"dtype", dtype_str},
{"shape", {100, 100}},
{"chunks", {3, 2}},
}},
{"create", true},
};
auto context = Context::Default();
TENSORSTORE_ASSERT_OK_AND_ASSIGN(
auto store, tensorstore::Open(json_spec, context).result());
TENSORSTORE_ASSERT_OK(tensorstore::Write(
tensorstore::MakeArray<FloatType>({
{FloatType(1), FloatType(2)},
{FloatType(3), FloatType(4)},
{FloatType(5), FloatType(6)},
}),
store | tensorstore::Dims(0, 1).SizedInterval({3, 2}, {3, 2})));
// Check that key value store has expected contents.
auto map =
GetMap(kvstore::Open({{"driver", "memory"}}, context).value()).value();
auto v = map.at("prefix/1.1");
// validate the stored data
EXPECT_EQ(v.size(), 6);
for (uint8_t i = 0; i < 6; ++i) {
EXPECT_EQ(FloatType::FromRep(static_cast<uint8_t>(v[i])), FloatType(i + 1));
}
}
TEST(ZarrDriverTest, CreateBfloat16) {
using ::tensorstore::dtypes::bfloat16_t;
::nlohmann::json json_spec{
{"driver", "zarr"},
{"kvstore",
{
{"driver", "memory"},
{"path", "prefix/"},
}},
{"dtype", "bfloat16"},
{"metadata",
{
{"compressor", nullptr},
{"dtype", "bfloat16"},
{"shape", {100, 100}},
{"chunks", {3, 2}},
}},
{"create", true},
};
auto context = Context::Default();
TENSORSTORE_ASSERT_OK_AND_ASSIGN(
auto store, tensorstore::Open(json_spec, context).result());
TENSORSTORE_ASSERT_OK(tensorstore::Write(
tensorstore::MakeArray<bfloat16_t>({
{bfloat16_t(1), bfloat16_t(2)},
{bfloat16_t(3), bfloat16_t(4)},
{bfloat16_t(5), bfloat16_t(6)},
}),
store | tensorstore::Dims(0, 1).SizedInterval({3, 2}, {3, 2})));
// Check that key value store has expected contents.
auto map =
GetMap(kvstore::Open({{"driver", "memory"}}, context).value()).value();
auto v = map.at("prefix/1.1");
std::cout << "Value = {";
for (auto x : std::string(v)) {
std::cout << std::hex << static_cast<int>(x) << ", ";
}
std::cout << "}" << std::endl;
EXPECT_THAT(
GetMap(kvstore::Open({{"driver", "memory"}}, context).value()).value(),
UnorderedElementsAreArray({
Pair("prefix/.zarray", //
::testing::MatcherCast<absl::Cord>(ParseJsonMatches({
{"zarr_format", 2},
{"order", "C"},
{"filters", nullptr},
{"fill_value", nullptr},
{"compressor", nullptr},
{"dtype", "bfloat16"},
{"shape", {100, 100}},
{"chunks", {3, 2}},
{"dimension_separator", "."},
}))),
Pair("prefix/1.1", //
::testing::MatcherCast<absl::Cord>(
::testing::Matcher<std::string>(ElementsAreArray({
0x80, 0x3f, //
0x00, 0x40, //
0x40, 0x40, //
0x80, 0x40, //
0xa0, 0x40, //
0xc0, 0x40, //
})))),
}));
}
TEST(ZarrDriverTest, CreateBigEndianUnaligned) {
::nlohmann::json json_spec{
{"driver", "zarr"},
{"kvstore",
{