1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
|
/*
* 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.parquet
import java.io.File
import org.scalatest.{BeforeAndAfterEach, BeforeAndAfterAll, FunSuite}
import org.apache.spark.sql.catalyst.expressions.Row
import org.apache.spark.sql.catalyst.plans.logical._
import org.apache.spark.sql.catalyst.analysis.UnresolvedRelation
import org.apache.spark.sql.catalyst.util.getTempFilePath
import org.apache.spark.sql.hive.TestHive
class HiveParquetSuite extends FunSuite with BeforeAndAfterAll with BeforeAndAfterEach {
val filename = getTempFilePath("parquettest").getCanonicalFile.toURI.toString
// runs a SQL and optionally resolves one Parquet table
def runQuery(querystr: String, tableName: Option[String] = None, filename: Option[String] = None): Array[Row] = {
// call to resolve references in order to get CREATE TABLE AS to work
val query = TestHive
.parseSql(querystr)
val finalQuery =
if (tableName.nonEmpty && filename.nonEmpty)
resolveParquetTable(tableName.get, filename.get, query)
else
query
TestHive.executePlan(finalQuery)
.toRdd
.collect()
}
// stores a query output to a Parquet file
def storeQuery(querystr: String, filename: String): Unit = {
val query = WriteToFile(
filename,
TestHive.parseSql(querystr))
TestHive
.executePlan(query)
.stringResult()
}
/**
* TODO: This function is necessary as long as there is no notion of a Catalog for
* Parquet tables. Once such a thing exists this functionality should be moved there.
*/
def resolveParquetTable(tableName: String, filename: String, plan: LogicalPlan): LogicalPlan = {
TestHive.loadTestTable("src") // may not be loaded now
plan.transform {
case relation @ UnresolvedRelation(databaseName, name, alias) =>
if (name == tableName)
ParquetRelation(tableName, filename)
else
relation
case op @ InsertIntoCreatedTable(databaseName, name, child) =>
if (name == tableName) {
// note: at this stage the plan is not yet analyzed but Parquet needs to know the schema
// and for that we need the child to be resolved
val relation = ParquetRelation.create(
filename,
TestHive.analyzer(child),
TestHive.sparkContext.hadoopConfiguration,
Some(tableName))
InsertIntoTable(
relation.asInstanceOf[BaseRelation],
Map.empty,
child,
overwrite = false)
} else
op
}
}
override def beforeAll() {
// write test data
ParquetTestData.writeFile
// Override initial Parquet test table
TestHive.catalog.registerTable(Some[String]("parquet"), "testsource", ParquetTestData.testData)
}
override def afterAll() {
ParquetTestData.testFile.delete()
}
override def beforeEach() {
new File(filename).getAbsoluteFile.delete()
}
override def afterEach() {
new File(filename).getAbsoluteFile.delete()
}
test("SELECT on Parquet table") {
val rdd = runQuery("SELECT * FROM parquet.testsource")
assert(rdd != null)
assert(rdd.forall(_.size == 6))
}
test("Simple column projection + filter on Parquet table") {
val rdd = runQuery("SELECT myboolean, mylong FROM parquet.testsource WHERE myboolean=true")
assert(rdd.size === 5, "Filter returned incorrect number of rows")
assert(rdd.forall(_.getBoolean(0)), "Filter returned incorrect Boolean field value")
}
test("Converting Hive to Parquet Table via WriteToFile") {
storeQuery("SELECT * FROM src", filename)
val rddOne = runQuery("SELECT * FROM src").sortBy(_.getInt(0))
val rddTwo = runQuery("SELECT * from ptable", Some("ptable"), Some(filename)).sortBy(_.getInt(0))
compareRDDs(rddOne, rddTwo, "src (Hive)", Seq("key:Int", "value:String"))
}
test("INSERT OVERWRITE TABLE Parquet table") {
storeQuery("SELECT * FROM parquet.testsource", filename)
runQuery("INSERT OVERWRITE TABLE ptable SELECT * FROM parquet.testsource", Some("ptable"), Some(filename))
runQuery("INSERT OVERWRITE TABLE ptable SELECT * FROM parquet.testsource", Some("ptable"), Some(filename))
val rddCopy = runQuery("SELECT * FROM ptable", Some("ptable"), Some(filename))
val rddOrig = runQuery("SELECT * FROM parquet.testsource")
compareRDDs(rddOrig, rddCopy, "parquet.testsource", ParquetTestData.testSchemaFieldNames)
}
test("CREATE TABLE AS Parquet table") {
runQuery("CREATE TABLE ptable AS SELECT * FROM src", Some("ptable"), Some(filename))
val rddCopy = runQuery("SELECT * FROM ptable", Some("ptable"), Some(filename))
.sortBy[Int](_.apply(0) match {
case x: Int => x
case _ => 0
})
val rddOrig = runQuery("SELECT * FROM src").sortBy(_.getInt(0))
compareRDDs(rddOrig, rddCopy, "src (Hive)", Seq("key:Int", "value:String"))
}
private def compareRDDs(rddOne: Array[Row], rddTwo: Array[Row], tableName: String, fieldNames: Seq[String]) {
var counter = 0
(rddOne, rddTwo).zipped.foreach {
(a,b) => (a,b).zipped.toArray.zipWithIndex.foreach {
case ((value_1:Array[Byte], value_2:Array[Byte]), index) =>
assert(new String(value_1) === new String(value_2), s"table $tableName row ${counter} field ${fieldNames(index)} don't match")
case ((value_1, value_2), index) =>
assert(value_1 === value_2, s"table $tableName row $counter field ${fieldNames(index)} don't match")
}
counter = counter + 1
}
}
}
|
