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#374 Add an end to end test for incremental processing.
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pramen/core/src/test/resources/test/config/incremental_pipeline.conf
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# Copyright 2022 ABSA Group Limited | ||
# | ||
# 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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# This variable is expected to be set up by the test suite | ||
#base.path = "/tmp" | ||
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pramen { | ||
pipeline.name = "Integration test with a file-based source" | ||
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bookkeeping.enabled = true | ||
stop.spark.session = false | ||
} | ||
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pramen.metastore { | ||
tables = [ | ||
{ | ||
name = "table1" | ||
format = "parquet" | ||
path = ${base.path}/table1 | ||
}, | ||
{ | ||
name = "table2" | ||
format = "parquet" | ||
path = ${base.path}/table2 | ||
} | ||
] | ||
} | ||
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pramen.sources.1 = [ | ||
{ | ||
name = "spark_source" | ||
factory.class = "za.co.absa.pramen.core.source.SparkSource" | ||
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has.information.date.column = false | ||
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offset.column { | ||
enabled = true | ||
name = "id" | ||
type = "long" | ||
} | ||
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format = "csv" | ||
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option { | ||
header = true | ||
} | ||
} | ||
] | ||
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pramen.operations = [ | ||
{ | ||
name = "Sourcing from a folder" | ||
type = "ingestion" | ||
schedule.type = "incremental" | ||
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source = "spark_source" | ||
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info.date.expr = "@runDate" | ||
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tables = [ | ||
{ | ||
input.path = ${base.path}/landing | ||
output.metastore.table = table1 | ||
} | ||
] | ||
}, | ||
{ | ||
name = "Running a transformer" | ||
type = "transformation" | ||
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class = "za.co.absa.pramen.core.transformers.IdentityTransformer" | ||
schedule.type = "incremental" | ||
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output.table = "table2" | ||
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dependencies = [ | ||
{ | ||
tables = [ table1 ] | ||
date.from = "@infoDate" | ||
optional = true # Since no bookkeeping available the table will be seen as empty for the dependency manager | ||
} | ||
] | ||
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option { | ||
input.table = "table1" | ||
} | ||
} | ||
] |
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pramen/core/src/test/scala/za/co/absa/pramen/core/integration/IncrementalPipelineSuite.scala
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/* | ||
* Copyright 2022 ABSA Group Limited | ||
* | ||
* 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 za.co.absa.pramen.core.integration | ||
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import com.typesafe.config.{Config, ConfigFactory} | ||
import org.apache.hadoop.fs.Path | ||
import org.scalatest.wordspec.AnyWordSpec | ||
import org.scalatest.{BeforeAndAfter, BeforeAndAfterAll} | ||
import za.co.absa.pramen.core.base.SparkTestBase | ||
import za.co.absa.pramen.core.fixtures.{RelationalDbFixture, TempDirFixture, TextComparisonFixture} | ||
import za.co.absa.pramen.core.rdb.PramenDb | ||
import za.co.absa.pramen.core.reader.JdbcUrlSelectorImpl | ||
import za.co.absa.pramen.core.reader.model.JdbcConfig | ||
import za.co.absa.pramen.core.runner.AppRunner | ||
import za.co.absa.pramen.core.utils.{FsUtils, JdbcNativeUtils, ResourceUtils} | ||
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import java.time.LocalDate | ||
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class IncrementalPipelineSuite extends AnyWordSpec | ||
with SparkTestBase | ||
with RelationalDbFixture | ||
with BeforeAndAfter | ||
with BeforeAndAfterAll | ||
with TempDirFixture | ||
with TextComparisonFixture { | ||
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val jdbcConfig: JdbcConfig = JdbcConfig(driver, Some(url), Nil, None, Some(user), Some(password)) | ||
val pramenDb: PramenDb = PramenDb(jdbcConfig) | ||
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before { | ||
pramenDb.rdb.executeDDL("DROP SCHEMA PUBLIC CASCADE;") | ||
pramenDb.setupDatabase() | ||
} | ||
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override def afterAll(): Unit = { | ||
pramenDb.close() | ||
super.afterAll() | ||
} | ||
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private val infoDate = LocalDate.of(2021, 2, 18) | ||
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"File-based sourcing" should { | ||
val expected1 = | ||
"""{"id":"1","name":"John"} | ||
|{"id":"2","name":"Jack"} | ||
|{"id":"3","name":"Jill"} | ||
|""".stripMargin | ||
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val expected2 = | ||
"""{"id":"1","name":"John"} | ||
|{"id":"2","name":"Jack"} | ||
|{"id":"3","name":"Jill"} | ||
|{"id":"4","name":"Mary"} | ||
|{"id":"5","name":"Jane"} | ||
|{"id":"6","name":"Kate"} | ||
|""".stripMargin | ||
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"work end to end as a normal run" in { | ||
withTempDirectory("integration_file_based") { tempDir => | ||
val fsUtils = new FsUtils(spark.sparkContext.hadoopConfiguration, tempDir) | ||
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val path1 = new Path(tempDir, new Path("landing", "landing_file1.csv")) | ||
val path2 = new Path(tempDir, new Path("landing", "landing_file2.csv")) | ||
fsUtils.writeFile(path1, "id,name\n1,John\n2,Jack\n3,Jill\n") | ||
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val conf = getConfig(tempDir) | ||
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val exitCode1 = AppRunner.runPipeline(conf) | ||
assert(exitCode1 == 0) | ||
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val table1Path = new Path(new Path(tempDir, "table1"), s"pramen_info_date=$infoDate") | ||
val df1 = spark.read.parquet(table1Path.toString) | ||
val actual1 = df1.select("id", "name").orderBy("id").toJSON.collect().mkString("\n") | ||
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compareText(actual1, expected1) | ||
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fsUtils.deleteFile(path1) | ||
fsUtils.writeFile(path2, "id,name\n4,Mary\n5,Jane\n6,Kate\n") | ||
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val exitCode2 = AppRunner.runPipeline(conf) | ||
assert(exitCode2 == 0) | ||
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val df2 = spark.read.parquet(table1Path.toString) | ||
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val batchIds = df2.select("pramen_batchid").distinct().collect() | ||
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assert(batchIds.length == 2) | ||
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val actual2 = df2.select("id", "name").orderBy("id").toJSON.collect().mkString("\n") | ||
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compareText(actual2, expected2) | ||
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JdbcNativeUtils.withResultSet(new JdbcUrlSelectorImpl(jdbcConfig), "SELECT * FROM \"offsets\"", 1) { rs => | ||
val mt = rs.getMetaData | ||
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for (i <- 1 to mt.getColumnCount) { | ||
print(mt.getColumnName(i) + "\t") | ||
} | ||
println("") | ||
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while (rs.next()) { | ||
for (i <- 1 to mt.getColumnCount) { | ||
print(rs.getString(i) + "\t") | ||
} | ||
println("") | ||
} | ||
} | ||
} | ||
} | ||
} | ||
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def getConfig(basePath: String, isRerun: Boolean = false, useDataFrame: Boolean = false): Config = { | ||
val configContents = ResourceUtils.getResourceString("/test/config/incremental_pipeline.conf") | ||
val basePathEscaped = basePath.replace("\\", "\\\\") | ||
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val conf = ConfigFactory.parseString( | ||
s"""base.path = "$basePathEscaped" | ||
|use.dataframe = $useDataFrame | ||
|pramen.runtime.is.rerun = $isRerun | ||
|pramen.current.date = "$infoDate" | ||
| | ||
|pramen.bookkeeping.jdbc { | ||
| driver = "$driver" | ||
| url = "$url" | ||
| user = "$user" | ||
| password = "$password" | ||
|} | ||
|$configContents | ||
|""".stripMargin | ||
).withFallback(ConfigFactory.load()) | ||
.resolve() | ||
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conf | ||
} | ||
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} |