From b8f849b546739d3e4339563557509a51417fcb68 Mon Sep 17 00:00:00 2001
From: 0x0FFF <programmerag@gmail.com>
Date: Wed, 7 Oct 2015 23:12:35 -0700
Subject: [PATCH] [SPARK-7869][SQL] Adding Postgres JSON and JSONb data types
support
This PR addresses [SPARK-7869](https://issues.apache.org/jira/browse/SPARK-7869)
Before the patch, attempt to load the table from Postgres with JSON/JSONb datatype caused error `java.sql.SQLException: Unsupported type 1111`
Postgres data types JSON and JSONb are now mapped to String on Spark side thus they can be loaded into DF and processed on Spark side
Example
Postgres:
```
create table test_json (id int, value json);
create table test_jsonb (id int, value jsonb);
insert into test_json (id, value) values
(1, '{"field1":"value1","field2":"value2","field3":[1,2,3]}'::json),
(2, '{"field1":"value3","field2":"value4","field3":[4,5,6]}'::json),
(3, '{"field3":"value5","field4":"value6","field3":[7,8,9]}'::json);
insert into test_jsonb (id, value) values
(4, '{"field1":"value1","field2":"value2","field3":[1,2,3]}'::jsonb),
(5, '{"field1":"value3","field2":"value4","field3":[4,5,6]}'::jsonb),
(6, '{"field3":"value5","field4":"value6","field3":[7,8,9]}'::jsonb);
```
PySpark:
```
>>> import json
>>> df1 = sqlContext.read.jdbc("jdbc:postgresql://127.0.0.1:5432/test?user=testuser", "test_json")
>>> df1.map(lambda x: (x.id, json.loads(x.value))).map(lambda (id, value): (id, value.get('field3'))).collect()
[(1, [1, 2, 3]), (2, [4, 5, 6]), (3, [7, 8, 9])]
>>> df2 = sqlContext.read.jdbc("jdbc:postgresql://127.0.0.1:5432/test?user=testuser", "test_jsonb")
>>> df2.map(lambda x: (x.id, json.loads(x.value))).map(lambda (id, value): (id, value.get('field1'))).collect()
[(4, u'value1'), (5, u'value3'), (6, None)]
```
Author: 0x0FFF <programmerag@gmail.com>
Closes #8948 from 0x0FFF/SPARK-7869.
---
.../scala/org/apache/spark/sql/jdbc/JdbcDialects.scala | 4 ++++
.../test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala | 7 +++++++
2 files changed, 11 insertions(+)
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/JdbcDialects.scala b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/JdbcDialects.scala
index 5abbfbf7b3..0cd356f222 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/JdbcDialects.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/JdbcDialects.scala
@@ -202,6 +202,10 @@ case object PostgresDialect extends JdbcDialect {
Some(StringType)
} else if (sqlType == Types.OTHER && typeName.equals("inet")) {
Some(StringType)
+ } else if (sqlType == Types.OTHER && typeName.equals("json")) {
+ Some(StringType)
+ } else if (sqlType == Types.OTHER && typeName.equals("jsonb")) {
+ Some(StringType)
} else None
}
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
index c4b039a9c5..bbf705ce95 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
@@ -452,6 +452,13 @@ class JDBCSuite extends SparkFunSuite with BeforeAndAfter with SharedSQLContext
assert(db2Dialect.getJDBCType(BooleanType).map(_.databaseTypeDefinition).get == "CHAR(1)")
}
+ test("PostgresDialect type mapping") {
+ val Postgres = JdbcDialects.get("jdbc:postgresql://127.0.0.1/db")
+ // SPARK-7869: Testing JSON types handling
+ assert(Postgres.getCatalystType(java.sql.Types.OTHER, "json", 1, null) === Some(StringType))
+ assert(Postgres.getCatalystType(java.sql.Types.OTHER, "jsonb", 1, null) === Some(StringType))
+ }
+
test("table exists query by jdbc dialect") {
val MySQL = JdbcDialects.get("jdbc:mysql://127.0.0.1/db")
val Postgres = JdbcDialects.get("jdbc:postgresql://127.0.0.1/db")
--
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