[
https://issues.apache.org/jira/browse/PHOENIX-4034?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
iduanyingjie updated PHOENIX-4034:
----------------------------------
Description:
h2. my code:
{code:scala}
spark.read
.format("csv")
.option("header", "false")
.schema(
StructType(
StructField("userid", IntegerType) ::
StructField("movieid", IntegerType) ::
StructField("rating", DoubleType) ::
StructField("timestamp", LongType) :: Nil
)
)
.load("file:///home/iduanyingjie/Desktop/ratings.csv")
.createOrReplaceTempView("ratings")
spark.sql("select count(*) from ratings").show()
spark.sql("select row_number() OVER (PARTITION BY userid ORDER BY userid) id,
userid, movieid, rating, timestamp from ratings")
.saveToPhoenix("test.ratings", zkUrl = Some("dev:2181"))
{code}
h2. log:
{noformat}
+--------+
|count(1)|
+--------+
| 387804|
+--------+
...
[Stage 3:=====================================================> (193 + 4) /
200]17/07/18 11:02:37 INFO PhoenixInputFormat: UseUpsertColumns=true,
upsertColumnList.size()=5, upsertColumnList=ID,USERID,MOVIEID,RATING,TIMESTAMP
17/07/18 11:02:37 INFO PhoenixInputFormat: UseUpsertColumns=true,
upsertColumnList.size()=5, upsertColumnList=ID,USERID,MOVIEID,RATING,TIMESTAMP
17/07/18 11:02:37 INFO PhoenixInputFormat: Phoenix Custom Upsert Statement:
UPSERT INTO test.ratings ("ID", "0"."USERID", "0"."MOVIEID", "0"."RATING",
"0"."TIMESTAMP") VALUES (?, ?, ?, ?, ?)
17/07/18 11:02:37 INFO PhoenixInputFormat: UseUpsertColumns=true,
upsertColumnList.size()=5, upsertColumnList=ID,USERID,MOVIEID,RATING,TIMESTAMP
17/07/18 11:02:37 INFO PhoenixInputFormat: UseUpsertColumns=true,
upsertColumnList.size()=5, upsertColumnList=ID,USERID,MOVIEID,RATING,TIMESTAMP
17/07/18 11:02:37 INFO PhoenixInputFormat: Phoenix Custom Upsert Statement:
UPSERT INTO test.ratings ("ID", "0"."USERID", "0"."MOVIEID", "0"."RATING",
"0"."TIMESTAMP") VALUES (?, ?, ?, ?, ?)
[Stage 3:=====================================================> (196 + 4) /
200]17/07/18 11:02:37 INFO PhoenixInputFormat: UseUpsertColumns=true,
upsertColumnList.size()=5, upsertColumnList=ID,USERID,MOVIEID,RATING,TIMESTAMP
17/07/18 11:02:37 INFO PhoenixInputFormat: UseUpsertColumns=true,
upsertColumnList.size()=5, upsertColumnList=ID,USERID,MOVIEID,RATING,TIMESTAMP
17/07/18 11:02:37 INFO PhoenixInputFormat: Phoenix Custom Upsert Statement:
UPSERT INTO test.ratings ("ID", "0"."USERID", "0"."MOVIEID", "0"."RATING",
"0"."TIMESTAMP") VALUES (?, ?, ?, ?, ?)
17/07/18 11:02:37 ERROR SparkHadoopMapReduceWriter: Aborting job
job_20170718110213_0015.
java.lang.IllegalArgumentException: Can not create a Path from an empty string
at org.apache.hadoop.fs.Path.checkPathArg(Path.java:127)
at org.apache.hadoop.fs.Path.<init>(Path.java:135)
at org.apache.hadoop.fs.Path.<init>(Path.java:89)
at
org.apache.spark.internal.io.HadoopMapReduceCommitProtocol.absPathStagingDir(HadoopMapReduceCommitProtocol.scala:58)
at
org.apache.spark.internal.io.HadoopMapReduceCommitProtocol.commitJob(HadoopMapReduceCommitProtocol.scala:132)
at
org.apache.spark.internal.io.SparkHadoopMapReduceWriter$.write(SparkHadoopMapReduceWriter.scala:101)
at
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1.apply$mcV$sp(PairRDDFunctions.scala:1085)
at
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1.apply(PairRDDFunctions.scala:1085)
at
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1.apply(PairRDDFunctions.scala:1085)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
at
org.apache.spark.rdd.PairRDDFunctions.saveAsNewAPIHadoopDataset(PairRDDFunctions.scala:1084)
at
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopFile$2.apply$mcV$sp(PairRDDFunctions.scala:1003)
at
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopFile$2.apply(PairRDDFunctions.scala:994)
at
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopFile$2.apply(PairRDDFunctions.scala:994)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
at
org.apache.spark.rdd.PairRDDFunctions.saveAsNewAPIHadoopFile(PairRDDFunctions.scala:994)
at
org.apache.phoenix.spark.DataFrameFunctions.saveToPhoenix(DataFrameFunctions.scala:59)
at com.iduanyingjie.spark.testphoenix$.main(testphoenix.scala:35)
at com.iduanyingjie.spark.testphoenix.main(testphoenix.scala)
Exception in thread "main" java.lang.IllegalArgumentException: Can not create a
Path from an empty string
at org.apache.hadoop.fs.Path.checkPathArg(Path.java:127)
at org.apache.hadoop.fs.Path.<init>(Path.java:135)
at org.apache.hadoop.fs.Path.<init>(Path.java:89)
at
org.apache.spark.internal.io.HadoopMapReduceCommitProtocol.absPathStagingDir(HadoopMapReduceCommitProtocol.scala:58)
at
org.apache.spark.internal.io.HadoopMapReduceCommitProtocol.abortJob(HadoopMapReduceCommitProtocol.scala:141)
at
org.apache.spark.internal.io.SparkHadoopMapReduceWriter$.write(SparkHadoopMapReduceWriter.scala:106)
at
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1.apply$mcV$sp(PairRDDFunctions.scala:1085)
at
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1.apply(PairRDDFunctions.scala:1085)
at
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1.apply(PairRDDFunctions.scala:1085)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
at
org.apache.spark.rdd.PairRDDFunctions.saveAsNewAPIHadoopDataset(PairRDDFunctions.scala:1084)
at
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopFile$2.apply$mcV$sp(PairRDDFunctions.scala:1003)
at
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopFile$2.apply(PairRDDFunctions.scala:994)
at
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopFile$2.apply(PairRDDFunctions.scala:994)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
at
org.apache.spark.rdd.PairRDDFunctions.saveAsNewAPIHadoopFile(PairRDDFunctions.scala:994)
at
org.apache.phoenix.spark.DataFrameFunctions.saveToPhoenix(DataFrameFunctions.scala:59)
at com.iduanyingjie.spark.testphoenix$.main(testphoenix.scala:35)
at com.iduanyingjie.spark.testphoenix.main(testphoenix.scala)
17/07/18 11:02:37 INFO AbstractConnector: Stopped
Spark@a739f4c{HTTP/1.1,[http/1.1]}{0.0.0.0:4040}
{noformat}
query from phoenix:
{panel:title=My title}
0: jdbc:phoenix:localhost:2181:/hbase> select count(*) from test.ratings;
+-----------+
| COUNT(1) |
+-----------+
| 3292 |
+-----------+
1 row selected (0.114 seconds)
{panel}
was:
MyCode:
```scala
spark.read
.format("csv")
.option("header", "false")
.schema(
StructType(
StructField("userid", IntegerType) ::
StructField("movieid", IntegerType) ::
StructField("rating", DoubleType) ::
StructField("timestamp", LongType) :: Nil
)
)
.load("file:///home/iduanyingjie/Desktop/ratings.csv")
.createOrReplaceTempView("ratings")
spark.sql("select count(*) from ratings").show()
spark.sql("select row_number() OVER (PARTITION BY userid ORDER BY userid) id,
userid, movieid, rating, timestamp from ratings")
.saveToPhoenix("test.ratings", zkUrl = Some("127.0.0.1:2181"))
```
log:
```
+--------+
|count(1)|
+--------+
| 387804|
+--------+
...
[Stage 3:=====================================================> (193 + 4) /
200]17/07/18 11:02:37 INFO PhoenixInputFormat: UseUpsertColumns=true,
upsertColumnList.size()=5, upsertColumnList=ID,USERID,MOVIEID,RATING,TIMESTAMP
17/07/18 11:02:37 INFO PhoenixInputFormat: UseUpsertColumns=true,
upsertColumnList.size()=5, upsertColumnList=ID,USERID,MOVIEID,RATING,TIMESTAMP
17/07/18 11:02:37 INFO PhoenixInputFormat: Phoenix Custom Upsert Statement:
UPSERT INTO test.ratings ("ID", "0"."USERID", "0"."MOVIEID", "0"."RATING",
"0"."TIMESTAMP") VALUES (?, ?, ?, ?, ?)
17/07/18 11:02:37 INFO PhoenixInputFormat: UseUpsertColumns=true,
upsertColumnList.size()=5, upsertColumnList=ID,USERID,MOVIEID,RATING,TIMESTAMP
17/07/18 11:02:37 INFO PhoenixInputFormat: UseUpsertColumns=true,
upsertColumnList.size()=5, upsertColumnList=ID,USERID,MOVIEID,RATING,TIMESTAMP
17/07/18 11:02:37 INFO PhoenixInputFormat: Phoenix Custom Upsert Statement:
UPSERT INTO test.ratings ("ID", "0"."USERID", "0"."MOVIEID", "0"."RATING",
"0"."TIMESTAMP") VALUES (?, ?, ?, ?, ?)
[Stage 3:=====================================================> (196 + 4) /
200]17/07/18 11:02:37 INFO PhoenixInputFormat: UseUpsertColumns=true,
upsertColumnList.size()=5, upsertColumnList=ID,USERID,MOVIEID,RATING,TIMESTAMP
17/07/18 11:02:37 INFO PhoenixInputFormat: UseUpsertColumns=true,
upsertColumnList.size()=5, upsertColumnList=ID,USERID,MOVIEID,RATING,TIMESTAMP
17/07/18 11:02:37 INFO PhoenixInputFormat: Phoenix Custom Upsert Statement:
UPSERT INTO test.ratings ("ID", "0"."USERID", "0"."MOVIEID", "0"."RATING",
"0"."TIMESTAMP") VALUES (?, ?, ?, ?, ?)
17/07/18 11:02:37 ERROR SparkHadoopMapReduceWriter: Aborting job
job_20170718110213_0015.
java.lang.IllegalArgumentException: Can not create a Path from an empty string
at org.apache.hadoop.fs.Path.checkPathArg(Path.java:127)
at org.apache.hadoop.fs.Path.<init>(Path.java:135)
at org.apache.hadoop.fs.Path.<init>(Path.java:89)
at
org.apache.spark.internal.io.HadoopMapReduceCommitProtocol.absPathStagingDir(HadoopMapReduceCommitProtocol.scala:58)
at
org.apache.spark.internal.io.HadoopMapReduceCommitProtocol.commitJob(HadoopMapReduceCommitProtocol.scala:132)
at
org.apache.spark.internal.io.SparkHadoopMapReduceWriter$.write(SparkHadoopMapReduceWriter.scala:101)
at
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1.apply$mcV$sp(PairRDDFunctions.scala:1085)
at
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1.apply(PairRDDFunctions.scala:1085)
at
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1.apply(PairRDDFunctions.scala:1085)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
at
org.apache.spark.rdd.PairRDDFunctions.saveAsNewAPIHadoopDataset(PairRDDFunctions.scala:1084)
at
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopFile$2.apply$mcV$sp(PairRDDFunctions.scala:1003)
at
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopFile$2.apply(PairRDDFunctions.scala:994)
at
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopFile$2.apply(PairRDDFunctions.scala:994)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
at
org.apache.spark.rdd.PairRDDFunctions.saveAsNewAPIHadoopFile(PairRDDFunctions.scala:994)
at
org.apache.phoenix.spark.DataFrameFunctions.saveToPhoenix(DataFrameFunctions.scala:59)
at com.iduanyingjie.spark.testphoenix$.main(testphoenix.scala:35)
at com.iduanyingjie.spark.testphoenix.main(testphoenix.scala)
Exception in thread "main" java.lang.IllegalArgumentException: Can not create a
Path from an empty string
at org.apache.hadoop.fs.Path.checkPathArg(Path.java:127)
at org.apache.hadoop.fs.Path.<init>(Path.java:135)
at org.apache.hadoop.fs.Path.<init>(Path.java:89)
at
org.apache.spark.internal.io.HadoopMapReduceCommitProtocol.absPathStagingDir(HadoopMapReduceCommitProtocol.scala:58)
at
org.apache.spark.internal.io.HadoopMapReduceCommitProtocol.abortJob(HadoopMapReduceCommitProtocol.scala:141)
at
org.apache.spark.internal.io.SparkHadoopMapReduceWriter$.write(SparkHadoopMapReduceWriter.scala:106)
at
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1.apply$mcV$sp(PairRDDFunctions.scala:1085)
at
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1.apply(PairRDDFunctions.scala:1085)
at
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1.apply(PairRDDFunctions.scala:1085)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
at
org.apache.spark.rdd.PairRDDFunctions.saveAsNewAPIHadoopDataset(PairRDDFunctions.scala:1084)
at
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopFile$2.apply$mcV$sp(PairRDDFunctions.scala:1003)
at
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopFile$2.apply(PairRDDFunctions.scala:994)
at
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopFile$2.apply(PairRDDFunctions.scala:994)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
at
org.apache.spark.rdd.PairRDDFunctions.saveAsNewAPIHadoopFile(PairRDDFunctions.scala:994)
at
org.apache.phoenix.spark.DataFrameFunctions.saveToPhoenix(DataFrameFunctions.scala:59)
at com.iduanyingjie.spark.testphoenix$.main(testphoenix.scala:35)
at com.iduanyingjie.spark.testphoenix.main(testphoenix.scala)
17/07/18 11:02:37 INFO AbstractConnector: Stopped
Spark@a739f4c{HTTP/1.1,[http/1.1]}{0.0.0.0:4040}
```
query from phoenix:
```sql
0: jdbc:phoenix:localhost:2181:/hbase> select count(*) from test.ratings;
+-----------+
| COUNT(1) |
+-----------+
| 3292 |
+-----------+
1 row selected (0.114 seconds)
```
> Can not create a Path from an empty string
> ------------------------------------------
>
> Key: PHOENIX-4034
> URL: https://issues.apache.org/jira/browse/PHOENIX-4034
> Project: Phoenix
> Issue Type: Bug
> Affects Versions: 4.11.0
> Environment: spark2.x
> hbase1.3
> Reporter: iduanyingjie
>
> h2. my code:
> {code:scala}
> spark.read
> .format("csv")
> .option("header", "false")
> .schema(
> StructType(
> StructField("userid", IntegerType) ::
> StructField("movieid", IntegerType) ::
> StructField("rating", DoubleType) ::
> StructField("timestamp", LongType) :: Nil
> )
> )
> .load("file:///home/iduanyingjie/Desktop/ratings.csv")
> .createOrReplaceTempView("ratings")
> spark.sql("select count(*) from ratings").show()
> spark.sql("select row_number() OVER (PARTITION BY userid ORDER BY userid) id,
> userid, movieid, rating, timestamp from ratings")
> .saveToPhoenix("test.ratings", zkUrl = Some("dev:2181"))
> {code}
> h2. log:
> {noformat}
> +--------+
> |count(1)|
> +--------+
> | 387804|
> +--------+
> ...
> [Stage 3:=====================================================> (193 + 4) /
> 200]17/07/18 11:02:37 INFO PhoenixInputFormat: UseUpsertColumns=true,
> upsertColumnList.size()=5,
> upsertColumnList=ID,USERID,MOVIEID,RATING,TIMESTAMP
> 17/07/18 11:02:37 INFO PhoenixInputFormat: UseUpsertColumns=true,
> upsertColumnList.size()=5,
> upsertColumnList=ID,USERID,MOVIEID,RATING,TIMESTAMP
> 17/07/18 11:02:37 INFO PhoenixInputFormat: Phoenix Custom Upsert Statement:
> UPSERT INTO test.ratings ("ID", "0"."USERID", "0"."MOVIEID", "0"."RATING",
> "0"."TIMESTAMP") VALUES (?, ?, ?, ?, ?)
> 17/07/18 11:02:37 INFO PhoenixInputFormat: UseUpsertColumns=true,
> upsertColumnList.size()=5,
> upsertColumnList=ID,USERID,MOVIEID,RATING,TIMESTAMP
> 17/07/18 11:02:37 INFO PhoenixInputFormat: UseUpsertColumns=true,
> upsertColumnList.size()=5,
> upsertColumnList=ID,USERID,MOVIEID,RATING,TIMESTAMP
> 17/07/18 11:02:37 INFO PhoenixInputFormat: Phoenix Custom Upsert Statement:
> UPSERT INTO test.ratings ("ID", "0"."USERID", "0"."MOVIEID", "0"."RATING",
> "0"."TIMESTAMP") VALUES (?, ?, ?, ?, ?)
> [Stage 3:=====================================================> (196 + 4) /
> 200]17/07/18 11:02:37 INFO PhoenixInputFormat: UseUpsertColumns=true,
> upsertColumnList.size()=5,
> upsertColumnList=ID,USERID,MOVIEID,RATING,TIMESTAMP
> 17/07/18 11:02:37 INFO PhoenixInputFormat: UseUpsertColumns=true,
> upsertColumnList.size()=5,
> upsertColumnList=ID,USERID,MOVIEID,RATING,TIMESTAMP
> 17/07/18 11:02:37 INFO PhoenixInputFormat: Phoenix Custom Upsert Statement:
> UPSERT INTO test.ratings ("ID", "0"."USERID", "0"."MOVIEID", "0"."RATING",
> "0"."TIMESTAMP") VALUES (?, ?, ?, ?, ?)
> 17/07/18 11:02:37 ERROR SparkHadoopMapReduceWriter: Aborting job
> job_20170718110213_0015.
> java.lang.IllegalArgumentException: Can not create a Path from an empty string
> at org.apache.hadoop.fs.Path.checkPathArg(Path.java:127)
> at org.apache.hadoop.fs.Path.<init>(Path.java:135)
> at org.apache.hadoop.fs.Path.<init>(Path.java:89)
> at
> org.apache.spark.internal.io.HadoopMapReduceCommitProtocol.absPathStagingDir(HadoopMapReduceCommitProtocol.scala:58)
> at
> org.apache.spark.internal.io.HadoopMapReduceCommitProtocol.commitJob(HadoopMapReduceCommitProtocol.scala:132)
> at
> org.apache.spark.internal.io.SparkHadoopMapReduceWriter$.write(SparkHadoopMapReduceWriter.scala:101)
> at
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1.apply$mcV$sp(PairRDDFunctions.scala:1085)
> at
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1.apply(PairRDDFunctions.scala:1085)
> at
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1.apply(PairRDDFunctions.scala:1085)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
> at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
> at
> org.apache.spark.rdd.PairRDDFunctions.saveAsNewAPIHadoopDataset(PairRDDFunctions.scala:1084)
> at
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopFile$2.apply$mcV$sp(PairRDDFunctions.scala:1003)
> at
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopFile$2.apply(PairRDDFunctions.scala:994)
> at
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopFile$2.apply(PairRDDFunctions.scala:994)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
> at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
> at
> org.apache.spark.rdd.PairRDDFunctions.saveAsNewAPIHadoopFile(PairRDDFunctions.scala:994)
> at
> org.apache.phoenix.spark.DataFrameFunctions.saveToPhoenix(DataFrameFunctions.scala:59)
> at com.iduanyingjie.spark.testphoenix$.main(testphoenix.scala:35)
> at com.iduanyingjie.spark.testphoenix.main(testphoenix.scala)
> Exception in thread "main" java.lang.IllegalArgumentException: Can not create
> a Path from an empty string
> at org.apache.hadoop.fs.Path.checkPathArg(Path.java:127)
> at org.apache.hadoop.fs.Path.<init>(Path.java:135)
> at org.apache.hadoop.fs.Path.<init>(Path.java:89)
> at
> org.apache.spark.internal.io.HadoopMapReduceCommitProtocol.absPathStagingDir(HadoopMapReduceCommitProtocol.scala:58)
> at
> org.apache.spark.internal.io.HadoopMapReduceCommitProtocol.abortJob(HadoopMapReduceCommitProtocol.scala:141)
> at
> org.apache.spark.internal.io.SparkHadoopMapReduceWriter$.write(SparkHadoopMapReduceWriter.scala:106)
> at
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1.apply$mcV$sp(PairRDDFunctions.scala:1085)
> at
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1.apply(PairRDDFunctions.scala:1085)
> at
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1.apply(PairRDDFunctions.scala:1085)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
> at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
> at
> org.apache.spark.rdd.PairRDDFunctions.saveAsNewAPIHadoopDataset(PairRDDFunctions.scala:1084)
> at
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopFile$2.apply$mcV$sp(PairRDDFunctions.scala:1003)
> at
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopFile$2.apply(PairRDDFunctions.scala:994)
> at
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopFile$2.apply(PairRDDFunctions.scala:994)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
> at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
> at
> org.apache.spark.rdd.PairRDDFunctions.saveAsNewAPIHadoopFile(PairRDDFunctions.scala:994)
> at
> org.apache.phoenix.spark.DataFrameFunctions.saveToPhoenix(DataFrameFunctions.scala:59)
> at com.iduanyingjie.spark.testphoenix$.main(testphoenix.scala:35)
> at com.iduanyingjie.spark.testphoenix.main(testphoenix.scala)
> 17/07/18 11:02:37 INFO AbstractConnector: Stopped
> Spark@a739f4c{HTTP/1.1,[http/1.1]}{0.0.0.0:4040}
> {noformat}
> query from phoenix:
> {panel:title=My title}
> 0: jdbc:phoenix:localhost:2181:/hbase> select count(*) from test.ratings;
> +-----------+
> | COUNT(1) |
> +-----------+
> | 3292 |
> +-----------+
> 1 row selected (0.114 seconds)
> {panel}
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