def test_delete(test_ds):
# given
index = SpatialIndexBuilder().set_name("idx1").create_index()
index2 = SpatialIndexBuilder().set_name("idx2").create_index()
adapter = POINT_TYPE_ADAPTER
test_ds.add_type(adapter, index)
test_ds.add_type(adapter, index2)
write_test_data(test_ds, index, index2)
# when
qbldr = VectorQueryBuilder()
constraints_factory = qbldr.constraints_factory()
# filter encompasses 10 features (1, 1) - (10, 10)
constraints = constraints_factory.cql_constraints(
"BBOX(the_geom, 0.5, 0.5, 10.5, 10.5)")
qbldr.constraints(constraints)
test_ds.delete(qbldr.build())
query = VectorQueryBuilder().build()
res = results_as_list(test_ds.query(query))
# then
assert len(test_ds.get_indices()) == 2
assert len(test_ds.get_types()) == 1
assert len(res) == (len(TEST_DATA) - 10)
def test_stat_recalc_statistics(test_ds):
# given
adapter = POINT_TYPE_ADAPTER
index = SpatialIndexBuilder().set_name('idx').create_index()
test_ds.add_type(adapter, index)
write_test_data(test_ds, index)
duplicate_entry_count_stat = DuplicateEntryCountStatistic('idx')
duplicate_entry_count_stat.set_tag('test')
count_stat = CountStatistic(POINT_TYPE_NAME)
count_stat.set_tag('test')
numeric_range_statistic = NumericRangeStatistic(POINT_TYPE_NAME, POINT_NUMBER_FIELD)
numeric_range_statistic.set_tag('test')
test_ds.add_empty_statistic(duplicate_entry_count_stat, count_stat, numeric_range_statistic)
assert test_ds.get_statistic_value(duplicate_entry_count_stat) == 0
assert test_ds.get_statistic_value(count_stat) == 0
numeric_range = test_ds.get_statistic_value(numeric_range_statistic)
assert numeric_range.get_minimum() == 0
assert numeric_range.get_maximum() == 0
# when
test_ds.recalc_statistic(duplicate_entry_count_stat, count_stat, numeric_range_statistic)
# then
assert test_ds.get_statistic_value(duplicate_entry_count_stat) == 0
assert test_ds.get_statistic_value(count_stat) == 360
numeric_range = test_ds.get_statistic_value(numeric_range_statistic)
assert numeric_range.get_minimum() == -180
assert numeric_range.get_maximum() == 179
def test_copy(test_ds):
# given
options = RocksDBOptions()
options.set_geowave_namespace("geowave.tests")
options.set_directory(os.path.join(TEST_DIR, "datastore2"))
ds2 = DataStoreFactory.create_data_store(options)
adapter = POINT_TYPE_ADAPTER
index = SpatialIndexBuilder().create_index()
test_ds.add_type(adapter, index)
write_test_data(test_ds, index)
# when
test_ds.copy_to(ds2)
indices = ds2.get_indices()
types = ds2.get_types()
query = VectorQueryBuilder().build()
res = results_as_list(ds2.query(query))
# then
assert len(test_ds.get_indices()) == 1
assert len(indices) == 1
assert indices[0].get_name() == index.get_name()
assert indices[0].get_index_strategy() == index.get_index_strategy()
assert indices[0].get_index_model() == index.get_index_model()
assert len(types) == 1
assert types[0].get_type_name() == adapter.get_type_name()
assert len(res) == len(TEST_DATA)
ds2.delete_all()
def test_remove_index(test_ds):
# given
index = SpatialIndexBuilder().set_name("idx1").create_index()
index2 = SpatialIndexBuilder().set_name("idx2").create_index()
adapter = POINT_TYPE_ADAPTER
test_ds.add_type(adapter, index)
test_ds.add_type(adapter, index2)
# when
test_ds.remove_index(adapter.get_type_name(), index.get_name())
indices = test_ds.get_indices()
# then
assert len(indices) == 1
assert indices[0].get_name() == index2.get_name()
assert indices[0].get_index_strategy() == index2.get_index_strategy()
assert indices[0].get_index_model() == index2.get_index_model()
def test_delete_all(test_ds):
# given
index = SpatialIndexBuilder().set_name("idx1").create_index()
index2 = SpatialIndexBuilder().set_name("idx2").create_index()
adapter = POINT_TYPE_ADAPTER
test_ds.add_type(adapter, index)
test_ds.add_type(adapter, index2)
write_test_data(test_ds, index, index2)
# when
test_ds.delete_all()
query = VectorQueryBuilder().build()
res = results_as_list(test_ds.query(query))
# then
assert len(test_ds.get_indices()) == 0
assert len(test_ds.get_types()) == 0
assert len(res) == 0
def test_remove_index_non_exist(test_ds):
# given
index = SpatialIndexBuilder().create_index()
adapter = POINT_TYPE_ADAPTER
test_ds.add_type(adapter, index)
# when
test_ds.remove_index("Corgi")
# then
assert len(test_ds.get_indices()) == 1
def test_create_writer(test_ds):
# given
adapter = POINT_TYPE_ADAPTER
index = SpatialIndexBuilder().create_index()
test_ds.add_type(adapter, index)
# when
writer = test_ds.create_writer(adapter.get_type_name())
# then
assert writer is not None
def test_remove_index_last(test_ds):
with pytest.raises(Exception) as exec:
# given
index = SpatialIndexBuilder().create_index()
adapter = POINT_TYPE_ADAPTER
test_ds.add_type(adapter, index)
# when
test_ds.remove_index(index.get_name())
# then
assert 'Adapters require at least one index' in str(exec.value)
def setup_query_builder(test_ds):
# given
index = SpatialIndexBuilder().set_name("idx1").create_index()
adapter = POINT_TYPE_ADAPTER
test_ds.add_type(adapter, index)
write_test_data(test_ds, index)
qbldr = VectorAggregationQueryBuilder()
constraints_factory = qbldr.constraints_factory()
# filter encompasses 10 features (1, 1) - (10, 10)
constraints = constraints_factory.cql_constraints("BBOX(the_geom, 0.5, 0.5, 10.5, 10.5)")
qbldr.constraints(constraints)
return qbldr
def test_add_get_statistics(test_ds):
# given
adapter = POINT_TYPE_ADAPTER
index = SpatialIndexBuilder().set_name('idx').create_index()
test_ds.add_type(adapter, index)
write_test_data(test_ds, index)
duplicate_entry_count_stat = DuplicateEntryCountStatistic('idx')
duplicate_entry_count_stat.set_tag('test')
count_stat = CountStatistic(POINT_TYPE_NAME)
count_stat.set_tag('test')
numeric_range_statistic = NumericRangeStatistic(POINT_TYPE_NAME,
POINT_NUMBER_FIELD)
numeric_range_statistic.set_tag('test')
# when
test_ds.add_statistic(duplicate_entry_count_stat, count_stat,
numeric_range_statistic)
# then
duplicate_entry_count_stat = test_ds.get_index_statistic(
DuplicateEntryCountStatistic.STATS_TYPE, 'idx', 'test')
assert isinstance(duplicate_entry_count_stat, DuplicateEntryCountStatistic)
assert duplicate_entry_count_stat.get_tag() == 'test'
assert duplicate_entry_count_stat.get_index_name() == 'idx'
count_stat = test_ds.get_data_type_statistic(CountStatistic.STATS_TYPE,
POINT_TYPE_NAME, 'test')
assert isinstance(count_stat, CountStatistic)
assert count_stat.get_tag() == 'test'
assert count_stat.get_type_name() == POINT_TYPE_NAME
numeric_range_statistic = test_ds.get_field_statistic(
NumericRangeStatistic.STATS_TYPE, POINT_TYPE_NAME, POINT_NUMBER_FIELD,
'test')
assert isinstance(numeric_range_statistic, NumericRangeStatistic)
assert numeric_range_statistic.get_tag() == 'test'
assert numeric_range_statistic.get_type_name() == POINT_TYPE_NAME
assert numeric_range_statistic.get_field_name() == POINT_NUMBER_FIELD
index_stats = test_ds.get_index_statistics('idx')
assert any(stat.get_tag() == 'test'
and isinstance(stat, DuplicateEntryCountStatistic)
for stat in index_stats)
data_type_stats = test_ds.get_data_type_statistics(POINT_TYPE_NAME)
assert any(stat.get_tag() == 'test' and isinstance(stat, CountStatistic)
for stat in data_type_stats)
field_stats = test_ds.get_field_statistics(POINT_TYPE_NAME,
POINT_NUMBER_FIELD)
assert any(
stat.get_tag() == 'test' and isinstance(stat, NumericRangeStatistic)
for stat in field_stats)
def test_add_existing_type(test_ds):
# given
index = SpatialIndexBuilder().create_index()
adapter = POINT_TYPE_ADAPTER
test_ds.add_type(adapter, index)
# when
test_ds.add_type(adapter, index)
indices = test_ds.get_indices(adapter.get_type_name())
# then
assert len(indices) == 1
assert indices[0].get_name() == index.get_name()
assert indices[0].get_index_strategy() == index.get_index_strategy()
assert indices[0].get_index_model() == index.get_index_model()
def test_write(test_ds):
# given
adapter = POINT_TYPE_ADAPTER
index = SpatialIndexBuilder().create_index()
test_ds.add_type(adapter, index)
# when
write_test_data(test_ds, index)
query = VectorQueryBuilder().build()
res = results_as_list(test_ds.query(query))
# then
assert len(res) == len(TEST_DATA)
def test_remove_type(test_ds):
# given
index = SpatialIndexBuilder().create_index()
adapter = POINT_TYPE_ADAPTER
test_ds.add_type(adapter, index)
write_test_data(test_ds, index)
# when
test_ds.remove_type(adapter.get_type_name())
query = VectorQueryBuilder().build()
res = results_as_list(test_ds.query(query))
# then
assert len(test_ds.get_indices(adapter.get_type_name())) == 0
assert len(test_ds.get_indices()) == 1
assert len(res) == 0
def test_cql_query(test_ds):
# given
index = SpatialIndexBuilder().set_name("idx1").create_index()
adapter = POINT_TYPE_ADAPTER
test_ds.add_type(adapter, index)
write_test_data(test_ds, index)
# when
qbldr = VectorQueryBuilder()
constraints_factory = qbldr.constraints_factory()
# filter encompasses 10 features (1, 1) - (10, 10)
constraints = constraints_factory.cql_constraints(
"BBOX(the_geom, 0.5, 0.5, 10.5, 10.5)")
qbldr.constraints(constraints)
res = results_as_list(test_ds.query(qbldr.build()))
# then
assert len(res) == 10
def test_query_filter(test_ds):
# given
index = SpatialIndexBuilder().set_name("idx1").create_index()
adapter = POINT_TYPE_ADAPTER
test_ds.add_type(adapter, index)
write_test_data(test_ds, index)
# when
qbldr = VectorQueryBuilder()
filter_factory = FilterFactory()
# filter encompasses 10 features (1, 1) - (10, 10)
bbox_filter = filter_factory.bbox(filter_factory.property("the_geom"), 0.5,
0.5, 10.5, 10.5, "EPSG:4326")
constraints = qbldr.constraints_factory().filter_constraints(bbox_filter)
qbldr.constraints(constraints)
res = results_as_list(test_ds.query(qbldr.build()))
# then
assert len(res) == 10
def test_query_temporal(test_ds):
# given
index = SpatialIndexBuilder().set_name("idx1").create_index()
adapter = POINT_TYPE_ADAPTER
test_ds.add_type(adapter, index)
write_test_data(test_ds, index)
# when
qbldr = VectorQueryBuilder()
stcb = qbldr.constraints_factory().spatial_temporal_constraints()
# time range encompasses 10 features (1, 1) - (10, 10)
stcb.add_time_range(datetime.fromtimestamp(1), datetime.fromtimestamp(11))
qbldr.constraints(stcb.build())
res = results_as_list(test_ds.query(qbldr.build()))
for feature in res:
print(feature.get_id())
print(feature.get_default_geometry())
# then
assert len(res) == 10
def test_query_spatial(test_ds):
# given
index = SpatialIndexBuilder().set_name("idx1").create_index()
adapter = POINT_TYPE_ADAPTER
test_ds.add_type(adapter, index)
write_test_data(test_ds, index)
# when
qbldr = VectorQueryBuilder()
stcb = qbldr.constraints_factory().spatial_temporal_constraints()
# polygon encompasses 10 features (1, 1) - (10, 10)
stcb.spatial_constraints(
Polygon([[0.5, 0.5], [0.5, 10.5], [10.5, 10.5], [10.5, 0.5],
[0.5, 0.5]]))
stcb.spatial_constraints_compare_operation("CONTAINS")
qbldr.constraints(stcb.build())
res = results_as_list(test_ds.query(qbldr.build()))
# then
assert len(res) == 10
def test_copy_by_query(test_ds):
# given
options = RocksDBOptions()
options.set_geowave_namespace("geowave.tests")
options.set_directory(os.path.join(TEST_DIR, "datastore2"))
ds2 = DataStoreFactory.create_data_store(options)
adapter = POINT_TYPE_ADAPTER
index = SpatialIndexBuilder().create_index()
test_ds.add_type(adapter, index)
write_test_data(test_ds, index)
# when
qbldr = VectorQueryBuilder()
constraints_factory = qbldr.constraints_factory()
# filter encompasses 10 features (1, 1) - (10, 10)
constraints = constraints_factory.cql_constraints(
"BBOX(the_geom, 0.5, 0.5, 10.5, 10.5)")
qbldr.all_indices().constraints(constraints)
test_ds.copy_to(ds2, qbldr.build())
indices = ds2.get_indices()
types = ds2.get_types()
query = VectorQueryBuilder().build()
res = results_as_list(ds2.query(query))
# then
assert len(test_ds.get_indices()) == 1
assert len(indices) == 1
assert indices[0].get_name() == index.get_name()
assert indices[0].get_index_strategy() == index.get_index_strategy()
assert indices[0].get_index_model() == index.get_index_model()
assert len(types) == 1
assert types[0].get_type_name() == adapter.get_type_name()
assert len(res) == 10
ds2.delete_all()