| /* |
| * Licensed to the Apache Software Foundation (ASF) under one |
| * or more contributor license agreements. See the NOTICE file |
| * distributed with this work for additional information |
| * regarding copyright ownership. The ASF licenses this file |
| * to you 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. |
| */ |
| package org.apache.beam.sdk.extensions.sql; |
| |
| import static java.nio.charset.StandardCharsets.UTF_8; |
| import static org.apache.beam.sdk.extensions.sql.utils.DateTimeUtils.parseTimestampWithUTCTimeZone; |
| import static org.apache.beam.sdk.extensions.sql.utils.DateTimeUtils.parseTimestampWithoutTimeZone; |
| |
| import java.math.BigDecimal; |
| import java.text.ParseException; |
| import java.util.List; |
| import org.apache.beam.sdk.schemas.Schema; |
| import org.apache.beam.sdk.schemas.Schema.FieldType; |
| import org.apache.beam.sdk.testing.TestPipeline; |
| import org.apache.beam.sdk.testing.TestStream; |
| import org.apache.beam.sdk.transforms.Create; |
| import org.apache.beam.sdk.transforms.SerializableFunctions; |
| import org.apache.beam.sdk.transforms.windowing.FixedWindows; |
| import org.apache.beam.sdk.transforms.windowing.Window; |
| import org.apache.beam.sdk.values.PBegin; |
| import org.apache.beam.sdk.values.PCollection; |
| import org.apache.beam.sdk.values.Row; |
| import org.joda.time.Duration; |
| import org.joda.time.Instant; |
| import org.junit.Before; |
| import org.junit.BeforeClass; |
| import org.junit.Rule; |
| import org.junit.rules.ExpectedException; |
| |
| /** |
| * prepare input records to test. |
| * |
| * <p>Note that, any change in these records would impact tests in this package. |
| */ |
| public class BeamSqlDslBase { |
| @Rule public final TestPipeline pipeline = TestPipeline.create(); |
| @Rule public ExpectedException exceptions = ExpectedException.none(); |
| |
| static Schema schemaInTableA; |
| static Schema schemaFloatDouble; |
| static Schema schemaBytes; |
| static Schema schemaBytesPaddingTest; |
| |
| static List<Row> rowsInTableA; |
| static List<Row> monthlyRowsInTableA; |
| static List<Row> rowsOfFloatDouble; |
| static List<Row> rowsOfBytes; |
| static List<Row> rowsOfBytesPaddingTest; |
| |
| // bounded PCollections |
| protected PCollection<Row> boundedInput1; |
| protected PCollection<Row> boundedInput2; |
| protected PCollection<Row> boundedInputFloatDouble; |
| protected PCollection<Row> boundedInputBytes; |
| protected PCollection<Row> boundedInputBytesPaddingTest; |
| protected PCollection<Row> boundedInputMonthly; |
| |
| // unbounded PCollections |
| protected PCollection<Row> unboundedInput1; |
| protected PCollection<Row> unboundedInput2; |
| |
| @BeforeClass |
| public static void prepareClass() throws ParseException { |
| schemaInTableA = |
| Schema.builder() |
| .addInt32Field("f_int") |
| .addInt64Field("f_long") |
| .addInt16Field("f_short") |
| .addByteField("f_byte") |
| .addFloatField("f_float") |
| .addDoubleField("f_double") |
| .addStringField("f_string") |
| .addDateTimeField("f_timestamp") |
| .addInt32Field("f_int2") |
| .addDecimalField("f_decimal") |
| .build(); |
| |
| rowsInTableA = |
| TestUtils.RowsBuilder.of(schemaInTableA) |
| .addRows( |
| 1, |
| 1000L, |
| (short) 1, |
| (byte) 1, |
| 1.0f, |
| 1.0d, |
| "string_row1", |
| parseTimestampWithoutTimeZone("2017-01-01 01:01:03"), |
| 0, |
| new BigDecimal(1)) |
| .addRows( |
| 2, |
| 2000L, |
| (short) 2, |
| (byte) 2, |
| 2.0f, |
| 2.0d, |
| "string_row2", |
| parseTimestampWithoutTimeZone("2017-01-01 01:02:03"), |
| 0, |
| new BigDecimal(2)) |
| .addRows( |
| 3, |
| 3000L, |
| (short) 3, |
| (byte) 3, |
| 3.0f, |
| 3.0d, |
| "string_row3", |
| parseTimestampWithoutTimeZone("2017-01-01 01:06:03"), |
| 0, |
| new BigDecimal(3)) |
| .addRows( |
| 4, |
| 4000L, |
| (short) 4, |
| (byte) 4, |
| 4.0f, |
| 4.0d, |
| "第四行", |
| parseTimestampWithoutTimeZone("2017-01-01 02:04:03"), |
| 0, |
| new BigDecimal(4)) |
| .getRows(); |
| |
| monthlyRowsInTableA = |
| TestUtils.RowsBuilder.of(schemaInTableA) |
| .addRows( |
| 1, |
| 1000L, |
| (short) 1, |
| (byte) 1, |
| 1.0f, |
| 1.0d, |
| "string_row1", |
| parseTimestampWithUTCTimeZone("2017-01-01 01:01:03"), |
| 0, |
| new BigDecimal(1)) |
| .addRows( |
| 2, |
| 2000L, |
| (short) 2, |
| (byte) 2, |
| 2.0f, |
| 2.0d, |
| "string_row2", |
| parseTimestampWithUTCTimeZone("2017-02-01 01:02:03"), |
| 0, |
| new BigDecimal(2)) |
| .addRows( |
| 3, |
| 3000L, |
| (short) 3, |
| (byte) 3, |
| 3.0f, |
| 3.0d, |
| "string_row3", |
| parseTimestampWithUTCTimeZone("2017-03-01 01:06:03"), |
| 0, |
| new BigDecimal(3)) |
| .getRows(); |
| |
| schemaFloatDouble = |
| Schema.builder() |
| .addFloatField("f_float_1") |
| .addDoubleField("f_double_1") |
| .addFloatField("f_float_2") |
| .addDoubleField("f_double_2") |
| .addFloatField("f_float_3") |
| .addDoubleField("f_double_3") |
| .build(); |
| |
| rowsOfFloatDouble = |
| TestUtils.RowsBuilder.of(schemaFloatDouble) |
| .addRows( |
| Float.POSITIVE_INFINITY, |
| Double.POSITIVE_INFINITY, |
| Float.NEGATIVE_INFINITY, |
| Double.NEGATIVE_INFINITY, |
| Float.NaN, |
| Double.NaN) |
| .getRows(); |
| |
| schemaBytes = Schema.builder().addStringField("f_func").addByteArrayField("f_bytes").build(); |
| |
| rowsOfBytes = |
| TestUtils.RowsBuilder.of(schemaBytes) |
| .addRows( |
| "LENGTH", |
| "".getBytes(UTF_8), |
| "LENGTH", |
| "абвгд".getBytes(UTF_8), |
| "LENGTH", |
| "\0\1".getBytes(UTF_8), |
| "TO_HEX", |
| "foobar".getBytes(UTF_8), |
| "TO_HEX", |
| " ".getBytes(UTF_8), |
| "TO_HEX", |
| "abcABC".getBytes(UTF_8), |
| "TO_HEX", |
| "abcABCжщфЖЩФ".getBytes(UTF_8)) |
| .getRows(); |
| |
| schemaBytesPaddingTest = |
| Schema.builder() |
| .addNullableField("f_bytes_one", FieldType.BYTES) |
| .addNullableField("length", FieldType.INT64) |
| .addNullableField("f_bytes_two", FieldType.BYTES) |
| .build(); |
| rowsOfBytesPaddingTest = |
| TestUtils.RowsBuilder.of(schemaBytesPaddingTest) |
| .addRows( |
| "abcdef".getBytes(UTF_8), |
| 0L, |
| "defgh".getBytes(UTF_8), |
| "abcdef".getBytes(UTF_8), |
| 6L, |
| "defgh".getBytes(UTF_8), |
| "abcdef".getBytes(UTF_8), |
| 4L, |
| "defgh".getBytes(UTF_8), |
| "abcdef".getBytes(UTF_8), |
| 10L, |
| "defgh".getBytes(UTF_8), |
| "abc".getBytes(UTF_8), |
| 10L, |
| "defgh".getBytes(UTF_8), |
| "abc".getBytes(UTF_8), |
| 7L, |
| "-".getBytes(UTF_8), |
| "".getBytes(UTF_8), |
| 7L, |
| "def".getBytes(UTF_8), |
| null, |
| null, |
| null) |
| .getRows(); |
| } |
| |
| @Before |
| public void preparePCollections() { |
| boundedInput1 = |
| pipeline.apply( |
| "boundedInput1", |
| Create.of(rowsInTableA) |
| .withSchema( |
| schemaInTableA, |
| SerializableFunctions.identity(), |
| SerializableFunctions.identity())); |
| |
| boundedInput2 = |
| pipeline.apply( |
| "boundedInput2", |
| Create.of(rowsInTableA.get(0)) |
| .withSchema( |
| schemaInTableA, |
| SerializableFunctions.identity(), |
| SerializableFunctions.identity())); |
| |
| boundedInputFloatDouble = |
| pipeline.apply( |
| "boundedInputFloatDouble", |
| Create.of(rowsOfFloatDouble) |
| .withSchema( |
| schemaFloatDouble, |
| SerializableFunctions.identity(), |
| SerializableFunctions.identity())); |
| |
| boundedInputBytes = |
| pipeline.apply( |
| "boundedInputBytes", |
| Create.of(rowsOfBytes) |
| .withSchema( |
| schemaBytes, |
| SerializableFunctions.identity(), |
| SerializableFunctions.identity())); |
| |
| boundedInputBytesPaddingTest = |
| pipeline.apply( |
| "boundedInputBytesPaddingTest", |
| Create.of(rowsOfBytesPaddingTest) |
| .withSchema( |
| schemaBytesPaddingTest, |
| SerializableFunctions.identity(), |
| SerializableFunctions.identity())); |
| boundedInputMonthly = |
| pipeline.apply( |
| "boundedInputMonthly", |
| Create.of(monthlyRowsInTableA) |
| .withSchema( |
| schemaInTableA, |
| SerializableFunctions.identity(), |
| SerializableFunctions.identity())); |
| |
| unboundedInput1 = prepareUnboundedPCollection1(); |
| unboundedInput2 = prepareUnboundedPCollection2(); |
| } |
| |
| private PCollection<Row> prepareUnboundedPCollection1() { |
| TestStream.Builder<Row> values = |
| TestStream.create( |
| schemaInTableA, SerializableFunctions.identity(), SerializableFunctions.identity()); |
| |
| for (Row row : rowsInTableA) { |
| values = values.advanceWatermarkTo(new Instant(row.getDateTime("f_timestamp"))); |
| values = values.addElements(row); |
| } |
| |
| return PBegin.in(pipeline) |
| .apply("unboundedInput1", values.advanceWatermarkToInfinity()) |
| .apply( |
| "unboundedInput1.fixedWindow1year", |
| Window.into(FixedWindows.of(Duration.standardDays(365)))); |
| } |
| |
| private PCollection<Row> prepareUnboundedPCollection2() { |
| TestStream.Builder<Row> values = |
| TestStream.create( |
| schemaInTableA, SerializableFunctions.identity(), SerializableFunctions.identity()); |
| |
| Row row = rowsInTableA.get(0); |
| values = values.advanceWatermarkTo(new Instant(row.getDateTime("f_timestamp"))); |
| values = values.addElements(row); |
| |
| return PBegin.in(pipeline) |
| .apply("unboundedInput2", values.advanceWatermarkToInfinity()) |
| .apply( |
| "unboundedInput2.fixedWindow1year", |
| Window.into(FixedWindows.of(Duration.standardDays(365)))); |
| } |
| } |