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[HUDI-4359] Support show_fs_path_detail command on Call Produce Command (#6042)

This commit is contained in:
ForwardXu
2022-07-05 23:56:32 +08:00
committed by GitHub
parent 23c9c5c296
commit 8570c3aab4
3 changed files with 167 additions and 0 deletions

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@@ -73,6 +73,7 @@ object HoodieProcedures {
mapBuilder.put(MetadataInitProcedure.NAME, MetadataInitProcedure.builder)
mapBuilder.put(ShowMetadataStatsProcedure.NAME, ShowMetadataStatsProcedure.builder)
mapBuilder.put(ValidateMetadataFilesProcedure.NAME, ValidateMetadataFilesProcedure.builder)
mapBuilder.put(ShowFsPathDetailProcedure.NAME, ShowFsPathDetailProcedure.builder)
mapBuilder.build
}
}

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@@ -0,0 +1,112 @@
/*
* 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.spark.sql.hudi.command.procedures
import com.google.common.collect.Lists
import org.apache.hadoop.fs.{ContentSummary, FileStatus, Path}
import org.apache.hudi.common.fs.FSUtils
import org.apache.spark.sql.Row
import org.apache.spark.sql.types.{DataTypes, Metadata, StructField, StructType}
import java.text.DecimalFormat
import java.util.function.Supplier
class ShowFsPathDetailProcedure extends BaseProcedure with ProcedureBuilder {
private val PARAMETERS = Array[ProcedureParameter](
ProcedureParameter.required(0, "path", DataTypes.StringType, None),
ProcedureParameter.optional(1, "is_sub", DataTypes.BooleanType, false),
ProcedureParameter.optional(2, "sort", DataTypes.BooleanType, true)
)
private val OUTPUT_TYPE = new StructType(Array[StructField](
StructField("path_num", DataTypes.LongType, nullable = true, Metadata.empty),
StructField("file_num", DataTypes.LongType, nullable = true, Metadata.empty),
StructField("storage_size", DataTypes.LongType, nullable = true, Metadata.empty),
StructField("storage_size(unit)", DataTypes.StringType, nullable = true, Metadata.empty),
StructField("storage_path", DataTypes.StringType, nullable = true, Metadata.empty),
StructField("space_consumed", DataTypes.LongType, nullable = true, Metadata.empty),
StructField("quota", DataTypes.LongType, nullable = true, Metadata.empty),
StructField("space_quota", DataTypes.LongType, nullable = true, Metadata.empty))
)
def parameters: Array[ProcedureParameter] = PARAMETERS
def outputType: StructType = OUTPUT_TYPE
override def call(args: ProcedureArgs): Seq[Row] = {
super.checkArgs(PARAMETERS, args)
val srcPath = getArgValueOrDefault(args, PARAMETERS(0)).get.asInstanceOf[String]
val isSub = getArgValueOrDefault(args, PARAMETERS(1)).get.asInstanceOf[Boolean]
val sort = getArgValueOrDefault(args, PARAMETERS(2)).get.asInstanceOf[Boolean]
val path: Path = new Path(srcPath)
val fs = FSUtils.getFs(path, jsc.hadoopConfiguration())
val status: Array[FileStatus] = if (isSub) fs.listStatus(path) else fs.globStatus(path)
val rows: java.util.List[Row] = Lists.newArrayList()
if (status.nonEmpty) {
for (i <- status.indices) {
val summary: ContentSummary = fs.getContentSummary(status(i).getPath)
val storagePath: String = status(i).getPath.toString
rows.add(Row(summary.getDirectoryCount, summary.getFileCount, summary.getLength,
getFileSize(summary.getLength), storagePath, summary.getQuota, summary.getSpaceConsumed,
summary.getSpaceQuota))
}
}
val df = spark.sqlContext.createDataFrame(rows, OUTPUT_TYPE)
if (sort) {
df.orderBy(df("storage_size").desc).collect()
} else {
df.orderBy(df("file_num").desc).collect()
}
}
def getFileSize(size: Long): String = {
val GB = 1024 * 1024 * 1024
val MB = 1024 * 1024
val KB = 1024
val df: DecimalFormat = new DecimalFormat("0.00")
val resultSize = if (size / GB >= 1) {
df.format(size / GB.toFloat) + "GB"
} else if (size / MB >= 1) {
df.format(size / MB.toFloat) + "MB"
} else if (size / KB >= 1) {
df.format(size / KB.toFloat) + "KB"
} else {
size + "B"
}
resultSize
}
override def build: Procedure = new ShowFsPathDetailProcedure()
}
object ShowFsPathDetailProcedure {
val NAME = "show_fs_path_detail"
def builder: Supplier[ProcedureBuilder] = new Supplier[ProcedureBuilder] {
override def get(): ProcedureBuilder = new ShowFsPathDetailProcedure()
}
}

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@@ -0,0 +1,54 @@
/*
* 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.spark.sql.hudi.procedure
import org.apache.spark.sql.hudi.HoodieSparkSqlTestBase
class TestShowFsPathDetailProcedure extends HoodieSparkSqlTestBase {
test("Test Call show_fs_path_detail Procedure") {
withTempDir { tmp =>
val tableName = generateTableName
val tablePath = tmp.getCanonicalPath + "/" + tableName
// create table
spark.sql(
s"""
|create table $tableName (
| id int,
| name string,
| price double,
| ts long
|) using hudi
| location '$tablePath'
| tblproperties (
| primaryKey = 'id',
| preCombineField = 'ts'
| )
""".stripMargin)
// insert data to table
spark.sql(s"insert into $tableName select 1, 'a1', 10, 1000")
spark.sql(s"insert into $tableName select 2, 'a2', 20, 1500")
spark.sql(s"insert into $tableName select 3, 'a3', 30, 2000")
val result = spark.sql(s"""call show_fs_path_detail(path => '$tablePath')""").collect()
assertResult(1) {
result.length
}
}
}
}