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Posted to dev@carbondata.apache.org by jackylk <gi...@git.apache.org> on 2016/09/05 16:40:39 UTC
[GitHub] incubator-carbondata pull request #126: [CARBONDATA-212] Use SQLContext to r...
GitHub user jackylk opened a pull request:
https://github.com/apache/incubator-carbondata/pull/126
[CARBONDATA-212] Use SQLContext to read CarbonData files
In this PR, user can use SQLContext instead of CarbonContext to read CarbonData files.
See DatasourceExample.scala
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/jackylk/incubator-carbondata ds1
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/incubator-carbondata/pull/126.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 #126
----
commit 9293e1b5c0c6c14b5f3d8f7aec89a812d785a452
Author: jackylk <ja...@huawei.com>
Date: 2016-09-05T15:36:04Z
use SqlContext for read
commit f0f7a4a2f0144dc1088ba2e8c6d4a606dc50a36a
Author: jackylk <ja...@huawei.com>
Date: 2016-09-05T15:43:30Z
revert CarbonScan
commit cc6c749115c35effed493d9064d982438c11cb59
Author: jackylk <ja...@huawei.com>
Date: 2016-09-05T15:45:33Z
add class
commit c53b2ef268b487f602350d4c93bc3cdda70e8c39
Author: jackylk <ja...@huawei.com>
Date: 2016-09-05T16:36:13Z
fix stylecheck
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[GitHub] incubator-carbondata pull request #126: [CARBONDATA-212] Use SQLContext to r...
Posted by asfgit <gi...@git.apache.org>.
Github user asfgit closed the pull request at:
https://github.com/apache/incubator-carbondata/pull/126
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[GitHub] incubator-carbondata pull request #126: [CARBONDATA-212] Use SQLContext to r...
Posted by QiangCai <gi...@git.apache.org>.
Github user QiangCai commented on a diff in the pull request:
https://github.com/apache/incubator-carbondata/pull/126#discussion_r77605228
--- Diff: integration/spark/src/main/scala/org/apache/spark/sql/CarbonDatasourceRelation.scala ---
@@ -123,24 +120,24 @@ class CarbonSource
dataSchema: Option[StructType],
partitionColumns: Option[StructType],
parameters: Map[String, String]): HadoopFsRelation = {
- CarbonDatasourceHadoopRelation(sqlContext, paths, parameters)
+ CarbonDatasourceHadoopRelation(sqlContext, paths, parameters, dataSchema)
--- End diff --
You can validate the parameters here.
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[GitHub] incubator-carbondata pull request #126: [CARBONDATA-212] Use SQLContext to r...
Posted by QiangCai <gi...@git.apache.org>.
Github user QiangCai commented on a diff in the pull request:
https://github.com/apache/incubator-carbondata/pull/126#discussion_r77598344
--- Diff: examples/src/main/scala/org/apache/carbondata/examples/DatasourceExample.scala ---
@@ -0,0 +1,55 @@
+/*
+ * 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.carbondata.examples
+
+import org.apache.spark.sql.{SaveMode, SQLContext}
+
+import org.apache.carbondata.examples.util.InitForExamples
+
+object DatasourceExample {
+
+ def main(args: Array[String]) {
+ // use CarbonContext to write CarbonData files
+ val cc = InitForExamples.createCarbonContext("DatasourceExample")
+ import cc.implicits._
+ val sc = cc.sparkContext
+ // create a dataframe, it can be from parquet or hive table
+ val df = sc.parallelize(1 to 1000)
+ .map(x => ("a", "b", x))
+ .toDF("c1", "c2", "c3")
+
+ // save dataframe to CarbonData files
+ df.write
+ .format("carbondata")
+ .option("tableName", "carbon1")
+ .mode(SaveMode.Overwrite)
+ .save()
+
+ // use SQLContext to read CarbonData files
+ val sqlContext = new SQLContext(sc)
+ sqlContext.sql(
+ """
+ | CREATE TEMPORARY TABLE source
+ | (c1 string, c2 string, c3 long)
+ | USING org.apache.spark.sql.CarbonSource
+ | OPTIONS (path './examples/target/store',
--- End diff --
please change path to './target/store'
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