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Posted to reviews@spark.apache.org by MaxGekk <gi...@git.apache.org> on 2018/11/06 20:28:02 UTC
[GitHub] spark pull request #22960: [SPARK-25955][TEST] Porting JSON tests for CSV fu...
GitHub user MaxGekk opened a pull request:
https://github.com/apache/spark/pull/22960
[SPARK-25955][TEST] Porting JSON tests for CSV functions
## What changes were proposed in this pull request?
In the PR, I propose to port existing JSON tests from `JsonFunctionsSuite` that are applicable for CSV, and put them to `CsvFunctionsSuite`. In particular:
- roundtrip `from_csv` to `to_csv`, and `to_csv` to `from_csv`
- using `schema_of_csv` in `from_csv`
- Java API `from_csv`
- using `from_csv` and `to_csv` in exprs.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/MaxGekk/spark-1 csv-additional-tests
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/22960.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #22960
----
commit 345f2a6b0d480a6e24a398380a49792366fa8c6e
Author: Maxim Gekk <ma...@...>
Date: 2018-11-06T19:36:34Z
Tests - roundtrip from_csv <-> to_csv
commit 606be67e8a422a0e650c2dc29bd724be9b80e411
Author: Maxim Gekk <ma...@...>
Date: 2018-11-06T20:07:44Z
SQL + java tests
----
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[GitHub] spark issue #22960: [SPARK-25955][TEST] Porting JSON tests for CSV functions
Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/22960
**[Test build #98566 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/98566/testReport)** for PR 22960 at commit [`24933a9`](https://github.com/apache/spark/commit/24933a9e457fe6b0110de0aa27bc9eaa9dc00fb9).
* This patch passes all tests.
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[GitHub] spark issue #22960: [SPARK-25955][TEST] Porting JSON tests for CSV functions
Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/22960
**[Test build #98542 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/98542/testReport)** for PR 22960 at commit [`1d3a31b`](https://github.com/apache/spark/commit/1d3a31b478622a8e76dfeef0f71973aa71730859).
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[GitHub] spark issue #22960: [SPARK-25955][TEST] Porting JSON tests for CSV functions
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[GitHub] spark issue #22960: [SPARK-25955][TEST] Porting JSON tests for CSV functions
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[GitHub] spark pull request #22960: [SPARK-25955][TEST] Porting JSON tests for CSV fu...
Posted by asfgit <gi...@git.apache.org>.
Github user asfgit closed the pull request at:
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[GitHub] spark issue #22960: [SPARK-25955][TEST] Porting JSON tests for CSV functions
Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/22960
**[Test build #98566 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/98566/testReport)** for PR 22960 at commit [`24933a9`](https://github.com/apache/spark/commit/24933a9e457fe6b0110de0aa27bc9eaa9dc00fb9).
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[GitHub] spark pull request #22960: [SPARK-25955][TEST] Porting JSON tests for CSV fu...
Posted by HyukjinKwon <gi...@git.apache.org>.
Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/22960#discussion_r231344120
--- Diff: sql/core/src/test/scala/org/apache/spark/sql/CsvFunctionsSuite.scala ---
@@ -86,4 +86,82 @@ class CsvFunctionsSuite extends QueryTest with SharedSQLContext {
checkAnswer(df.select(to_csv($"a", options)), Row("26/08/2015 18:00") :: Nil)
}
+
+ test("from_csv uses DDL strings for defining a schema - java") {
+ val df = Seq("""1,"haa"""").toDS()
+ checkAnswer(
+ df.select(
+ from_csv($"value", lit("a INT, b STRING"), new java.util.HashMap[String, String]())),
+ Row(Row(1, "haa")) :: Nil)
+ }
+
+ test("roundtrip to_csv -> from_csv") {
+ val df = Seq(Tuple1(Tuple1(1)), Tuple1(null)).toDF("struct")
+ val schema = df.schema(0).dataType.asInstanceOf[StructType]
+ val options = Map.empty[String, String]
+ val readback = df.select(to_csv($"struct").as("csv"))
+ .select(from_csv($"csv", schema, options).as("struct"))
+
+ checkAnswer(df, readback)
+ }
+
+ test("roundtrip from_csv -> to_csv") {
+ val df = Seq(Some("1"), None).toDF("csv")
+ val schema = new StructType().add("a", IntegerType)
+ val options = Map.empty[String, String]
+ val readback = df.select(from_csv($"csv", schema, options).as("struct"))
+ .select(to_csv($"struct").as("csv"))
+
+ checkAnswer(df, readback)
+ }
+
+ test("infers schemas of a CSV string and pass to to from_csv") {
+ val in = Seq("""0.123456789,987654321,"San Francisco"""").toDS()
+ val options = Map.empty[String, String].asJava
+ val out = in.select(from_csv('value, schema_of_csv("0.1,1,a"), options) as "parsed")
+ val expected = StructType(Seq(StructField(
+ "parsed",
+ StructType(Seq(
+ StructField("_c0", DoubleType, true),
+ StructField("_c1", IntegerType, true),
+ StructField("_c2", StringType, true))))))
+
+ assert(out.schema == expected)
+ }
+
+ test("Support to_csv in SQL") {
--- End diff --
@MaxGekk, wouldn't the tests in `csv-functions.sql` be enough for SQL support test?
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[GitHub] spark issue #22960: [SPARK-25955][TEST] Porting JSON tests for CSV functions
Posted by AmplabJenkins <gi...@git.apache.org>.
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https://github.com/apache/spark/pull/22960
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[GitHub] spark issue #22960: [SPARK-25955][TEST] Porting JSON tests for CSV functions
Posted by MaxGekk <gi...@git.apache.org>.
Github user MaxGekk commented on the issue:
https://github.com/apache/spark/pull/22960
> Sorry, but Porting seems to be not the best way to do this.
I saw a bunch of common code in `Csv`/`JsonExpressionsSuite`, `Csv`/`JsonFunctionsSuite` and `Csv`/`JsonSuite`. I just didn't want to overcomplicate the tests especially in the case when there are small differences. So, passing functions (with inputs and expected result) to template functions will not make them easy to read.
> Could you refactor this by introducing new test helper functions?
In any case, I will try that.
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[GitHub] spark issue #22960: [SPARK-25955][TEST] Porting JSON tests for CSV functions
Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/22960
**[Test build #98530 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/98530/testReport)** for PR 22960 at commit [`606be67`](https://github.com/apache/spark/commit/606be67e8a422a0e650c2dc29bd724be9b80e411).
* This patch passes all tests.
* This patch merges cleanly.
* This patch adds no public classes.
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[GitHub] spark issue #22960: [SPARK-25955][TEST] Porting JSON tests for CSV functions
Posted by AmplabJenkins <gi...@git.apache.org>.
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https://github.com/apache/spark/pull/22960
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[GitHub] spark pull request #22960: [SPARK-25955][TEST] Porting JSON tests for CSV fu...
Posted by HyukjinKwon <gi...@git.apache.org>.
Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/22960#discussion_r231413853
--- Diff: sql/core/src/test/scala/org/apache/spark/sql/CsvFunctionsSuite.scala ---
@@ -86,4 +86,82 @@ class CsvFunctionsSuite extends QueryTest with SharedSQLContext {
checkAnswer(df.select(to_csv($"a", options)), Row("26/08/2015 18:00") :: Nil)
}
+
+ test("from_csv uses DDL strings for defining a schema - java") {
+ val df = Seq("""1,"haa"""").toDS()
+ checkAnswer(
+ df.select(
+ from_csv($"value", lit("a INT, b STRING"), new java.util.HashMap[String, String]())),
+ Row(Row(1, "haa")) :: Nil)
+ }
+
+ test("roundtrip to_csv -> from_csv") {
+ val df = Seq(Tuple1(Tuple1(1)), Tuple1(null)).toDF("struct")
+ val schema = df.schema(0).dataType.asInstanceOf[StructType]
+ val options = Map.empty[String, String]
+ val readback = df.select(to_csv($"struct").as("csv"))
+ .select(from_csv($"csv", schema, options).as("struct"))
+
+ checkAnswer(df, readback)
+ }
+
+ test("roundtrip from_csv -> to_csv") {
+ val df = Seq(Some("1"), None).toDF("csv")
+ val schema = new StructType().add("a", IntegerType)
+ val options = Map.empty[String, String]
+ val readback = df.select(from_csv($"csv", schema, options).as("struct"))
+ .select(to_csv($"struct").as("csv"))
+
+ checkAnswer(df, readback)
+ }
+
+ test("infers schemas of a CSV string and pass to to from_csv") {
+ val in = Seq("""0.123456789,987654321,"San Francisco"""").toDS()
+ val options = Map.empty[String, String].asJava
+ val out = in.select(from_csv('value, schema_of_csv("0.1,1,a"), options) as "parsed")
+ val expected = StructType(Seq(StructField(
+ "parsed",
+ StructType(Seq(
+ StructField("_c0", DoubleType, true),
+ StructField("_c1", IntegerType, true),
+ StructField("_c2", StringType, true))))))
+
+ assert(out.schema == expected)
+ }
+
+ test("Support to_csv in SQL") {
--- End diff --
I think we can just get rid of it. I can't imagine both functions are specifically broken alone in `selectExpr`.
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[GitHub] spark issue #22960: [SPARK-25955][TEST] Porting JSON tests for CSV functions
Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/22960
**[Test build #98531 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/98531/testReport)** for PR 22960 at commit [`d863402`](https://github.com/apache/spark/commit/d863402db4ef0165c7a1b9da1eb6a4151d162741).
* This patch passes all tests.
* This patch merges cleanly.
* This patch adds no public classes.
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[GitHub] spark pull request #22960: [SPARK-25955][TEST] Porting JSON tests for CSV fu...
Posted by MaxGekk <gi...@git.apache.org>.
Github user MaxGekk commented on a diff in the pull request:
https://github.com/apache/spark/pull/22960#discussion_r231399775
--- Diff: sql/core/src/test/scala/org/apache/spark/sql/CsvFunctionsSuite.scala ---
@@ -86,4 +86,82 @@ class CsvFunctionsSuite extends QueryTest with SharedSQLContext {
checkAnswer(df.select(to_csv($"a", options)), Row("26/08/2015 18:00") :: Nil)
}
+
+ test("from_csv uses DDL strings for defining a schema - java") {
+ val df = Seq("""1,"haa"""").toDS()
+ checkAnswer(
+ df.select(
+ from_csv($"value", lit("a INT, b STRING"), new java.util.HashMap[String, String]())),
+ Row(Row(1, "haa")) :: Nil)
+ }
+
+ test("roundtrip to_csv -> from_csv") {
+ val df = Seq(Tuple1(Tuple1(1)), Tuple1(null)).toDF("struct")
+ val schema = df.schema(0).dataType.asInstanceOf[StructType]
+ val options = Map.empty[String, String]
+ val readback = df.select(to_csv($"struct").as("csv"))
+ .select(from_csv($"csv", schema, options).as("struct"))
+
+ checkAnswer(df, readback)
+ }
+
+ test("roundtrip from_csv -> to_csv") {
+ val df = Seq(Some("1"), None).toDF("csv")
+ val schema = new StructType().add("a", IntegerType)
+ val options = Map.empty[String, String]
+ val readback = df.select(from_csv($"csv", schema, options).as("struct"))
+ .select(to_csv($"struct").as("csv"))
+
+ checkAnswer(df, readback)
+ }
+
+ test("infers schemas of a CSV string and pass to to from_csv") {
+ val in = Seq("""0.123456789,987654321,"San Francisco"""").toDS()
+ val options = Map.empty[String, String].asJava
+ val out = in.select(from_csv('value, schema_of_csv("0.1,1,a"), options) as "parsed")
+ val expected = StructType(Seq(StructField(
+ "parsed",
+ StructType(Seq(
+ StructField("_c0", DoubleType, true),
+ StructField("_c1", IntegerType, true),
+ StructField("_c2", StringType, true))))))
+
+ assert(out.schema == expected)
+ }
+
+ test("Support to_csv in SQL") {
--- End diff --
This is only for double check that the functions are available/(and work) from expressions in Scala. Probably we can make the test smaller.
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[GitHub] spark issue #22960: [SPARK-25955][TEST] Porting JSON tests for CSV functions
Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/22960
**[Test build #98542 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/98542/testReport)** for PR 22960 at commit [`1d3a31b`](https://github.com/apache/spark/commit/1d3a31b478622a8e76dfeef0f71973aa71730859).
* This patch **fails due to an unknown error code, -9**.
* This patch merges cleanly.
* This patch adds no public classes.
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[GitHub] spark issue #22960: [SPARK-25955][TEST] Porting JSON tests for CSV functions
Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/22960
Can one of the admins verify this patch?
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[GitHub] spark issue #22960: [SPARK-25955][TEST] Porting JSON tests for CSV functions
Posted by SparkQA <gi...@git.apache.org>.
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https://github.com/apache/spark/pull/22960
**[Test build #98530 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/98530/testReport)** for PR 22960 at commit [`606be67`](https://github.com/apache/spark/commit/606be67e8a422a0e650c2dc29bd724be9b80e411).
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[GitHub] spark issue #22960: [SPARK-25955][TEST] Porting JSON tests for CSV functions
Posted by dongjoon-hyun <gi...@git.apache.org>.
Github user dongjoon-hyun commented on the issue:
https://github.com/apache/spark/pull/22960
Ur, maybe, I'm not clear to the point. The refactoring scope of this PR is limited to the new tests here.
```
test("from_csv uses DDL strings for defining a schema - java")
test("roundtrip to_csv -> from_csv")
test("roundtrip from_csv -> to_csv")
test("infers schemas of a CSV string and pass to to from_csv")
test("Support to_csv in SQL")
test("Support from_csv in SQL")
```
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[GitHub] spark issue #22960: [SPARK-25955][TEST] Porting JSON tests for CSV functions
Posted by HyukjinKwon <gi...@git.apache.org>.
Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/22960
Merged to master.
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[GitHub] spark issue #22960: [SPARK-25955][TEST] Porting JSON tests for CSV functions
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/22960
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[GitHub] spark issue #22960: [SPARK-25955][TEST] Porting JSON tests for CSV functions
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[GitHub] spark issue #22960: [SPARK-25955][TEST] Porting JSON tests for CSV functions
Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/22960
Can one of the admins verify this patch?
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[GitHub] spark pull request #22960: [SPARK-25955][TEST] Porting JSON tests for CSV fu...
Posted by dongjoon-hyun <gi...@git.apache.org>.
Github user dongjoon-hyun commented on a diff in the pull request:
https://github.com/apache/spark/pull/22960#discussion_r231380992
--- Diff: sql/core/src/test/scala/org/apache/spark/sql/CsvFunctionsSuite.scala ---
@@ -86,4 +86,82 @@ class CsvFunctionsSuite extends QueryTest with SharedSQLContext {
checkAnswer(df.select(to_csv($"a", options)), Row("26/08/2015 18:00") :: Nil)
}
+
+ test("from_csv uses DDL strings for defining a schema - java") {
+ val df = Seq("""1,"haa"""").toDS()
+ checkAnswer(
+ df.select(
+ from_csv($"value", lit("a INT, b STRING"), new java.util.HashMap[String, String]())),
--- End diff --
The only difference is `from_csv` and `from_json`.
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[GitHub] spark issue #22960: [SPARK-25955][TEST] Porting JSON tests for CSV functions
Posted by dongjoon-hyun <gi...@git.apache.org>.
Github user dongjoon-hyun commented on the issue:
https://github.com/apache/spark/pull/22960
Yes. It would be great if we do that in this PR.
When I did the similar thing for ORC (`port tests from Parquet to ORC`, `port from old ORC to new ORC`). I received the same comments.
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