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Add avro reader support [databricks] (#4956)
Add avro reader support Co-authored-by: remzi <13716567376yh@gmail.com> Co-authored-by: Bobby Wang <wbo498@gmail.com>
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,90 @@ | ||
| # Copyright (c) 2022, NVIDIA CORPORATION. | ||
| # | ||
| # 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. | ||
| import os | ||
|
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| from spark_session import with_cpu_session | ||
| import pytest | ||
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| from asserts import assert_gpu_and_cpu_are_equal_collect | ||
| from data_gen import * | ||
| from marks import * | ||
| from pyspark.sql.types import * | ||
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| if os.environ.get('INCLUDE_SPARK_AVRO_JAR', 'false') == 'false': | ||
| pytestmark = pytest.mark.skip(reason=str("INCLUDE_SPARK_AVRO_JAR is disabled")) | ||
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| support_gens = numeric_gens + [string_gen, boolean_gen] | ||
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| _enable_all_types_conf = { | ||
| 'spark.rapids.sql.format.avro.enabled': 'true', | ||
| 'spark.rapids.sql.format.avro.read.enabled': 'true'} | ||
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| @pytest.mark.parametrize('gen', support_gens) | ||
| @pytest.mark.parametrize('v1_enabled_list', ["avro", ""]) | ||
| def test_basic_read(spark_tmp_path, gen, v1_enabled_list): | ||
| data_path = spark_tmp_path + '/AVRO_DATA' | ||
| with_cpu_session( | ||
| lambda spark: unary_op_df(spark, gen).write.format("avro").save(data_path) | ||
| ) | ||
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| all_confs = copy_and_update(_enable_all_types_conf, { | ||
| 'spark.sql.sources.useV1SourceList': v1_enabled_list}) | ||
| assert_gpu_and_cpu_are_equal_collect( | ||
| lambda spark: spark.read.format("avro").load(data_path), | ||
| conf=all_confs) | ||
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| @pytest.mark.parametrize('v1_enabled_list', ["", "avro"]) | ||
| def test_avro_simple_partitioned_read(spark_tmp_path, v1_enabled_list): | ||
| gen_list = [('_c' + str(i), gen) for i, gen in enumerate(support_gens)] | ||
| first_data_path = spark_tmp_path + '/AVRO_DATA/key=0/key2=20' | ||
| with_cpu_session( | ||
| lambda spark: gen_df(spark, gen_list).write.format("avro").save(first_data_path)) | ||
| second_data_path = spark_tmp_path + '/AVRO_DATA/key=1/key2=21' | ||
| with_cpu_session( | ||
| lambda spark: gen_df(spark, gen_list).write.format("avro").save(second_data_path)) | ||
| third_data_path = spark_tmp_path + '/AVRO_DATA/key=2/key2=22' | ||
| with_cpu_session( | ||
| lambda spark: gen_df(spark, gen_list).write.format("avro").save(third_data_path)) | ||
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| data_path = spark_tmp_path + '/AVRO_DATA' | ||
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| all_confs = copy_and_update(_enable_all_types_conf, { | ||
| 'spark.sql.sources.useV1SourceList': v1_enabled_list}) | ||
| assert_gpu_and_cpu_are_equal_collect( | ||
| lambda spark: spark.read.format("avro").load(data_path), | ||
| conf=all_confs) | ||
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| @pytest.mark.parametrize('v1_enabled_list', ["", "avro"]) | ||
| def test_avro_input_meta(spark_tmp_path, v1_enabled_list): | ||
| first_data_path = spark_tmp_path + '/AVRO_DATA/key=0' | ||
| with_cpu_session( | ||
| lambda spark: unary_op_df(spark, long_gen).write.format("avro").save(first_data_path)) | ||
| second_data_path = spark_tmp_path + '/AVRO_DATA/key=1' | ||
| with_cpu_session( | ||
| lambda spark: unary_op_df(spark, long_gen).write.format("avro").save(second_data_path)) | ||
| data_path = spark_tmp_path + '/AVRO_DATA' | ||
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| all_confs = copy_and_update(_enable_all_types_conf, { | ||
| 'spark.sql.sources.useV1SourceList': v1_enabled_list}) | ||
| assert_gpu_and_cpu_are_equal_collect( | ||
| lambda spark: spark.read.format("avro").load(data_path) | ||
| .filter(f.col('a') > 0) | ||
| .selectExpr('a', | ||
| 'input_file_name()', | ||
| 'input_file_block_start()', | ||
| 'input_file_block_length()'), | ||
| conf=all_confs) |
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31 changes: 31 additions & 0 deletions
31
sql-plugin/src/main/311until320-all/scala/org/apache/spark/sql/rapids/shims/AvroUtils.scala
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| Original file line number | Diff line number | Diff line change |
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| /* | ||
| * Copyright (c) 2022, NVIDIA CORPORATION. | ||
| * | ||
| * 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. | ||
| */ | ||
|
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| package org.apache.spark.sql.rapids.shims | ||
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| import com.nvidia.spark.rapids.RapidsMeta | ||
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| import org.apache.spark.sql.avro.AvroOptions | ||
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| object AvroUtils { | ||
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| def tagSupport( | ||
| parsedOptions: AvroOptions, | ||
| meta: RapidsMeta[_, _, _]): Unit = { | ||
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| } | ||
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| } |
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