Xindian Long created PHOENIX-3506:
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Summary: Phoenix-Spark plug in cannot select by column family name
Key: PHOENIX-3506
URL: https://issues.apache.org/jira/browse/PHOENIX-3506
Project: Phoenix
Issue Type: Bug
Reporter: Xindian Long
I have a table with multiple column family with possible same column names.
I want to use phoenix-spark plug in to select some of the fields, but it
returns a AnalysisException (details in the attached file).
It works with no column family, but I expect that I do not need to make sure
column names are unique across different column families.
public void testSpark(JavaSparkContext sc, String tableStr, String dataSrcUrl) {
//SparkContextBuilder.buildSparkContext("Simple Application", "local");
// One JVM can only have one Spark Context now
Map<String, String> options = new HashMap<String, String>();
SQLContext sqlContext = new SQLContext(sc);
options.put("zkUrl", dataSrcUrl);
options.put("table", tableStr);
log.info("Phoenix DB URL: " + dataSrcUrl + " tableStr: " + tableStr);
DataFrame df = null;
try {
df =
sqlContext.read().format("org.apache.phoenix.spark").options(options).load();
df.explain(true);
df.show();
df = df.select("I.CI", "I.FA");
//df = df.select("\"I\".\"CI\"", "\"I\".\"FA\""); // This gives the
same exception too
} catch (Exception ex) {
log.error("sql error: ", ex);
}
try {
log.info("Count By phoenix spark plugin: " + df.count());
} catch (Exception ex) {
log.error("dataframe error: ", ex);
}
}
I can see in the log that there is something like
10728 [INFO] main org.apache.phoenix.mapreduce.PhoenixInputFormat - Select
Statement: SELECT
"RID","I"."CI","I"."FA","I"."FPR","I"."FPT","I"."FR","I"."LAT","I"."LNG","I"."NCG","I"."NGPD","I"."VE","I"."VMJ","I"."VMR","I"."VP","I"."CSRE","I"."VIB","I"."IIICS","I"."LICSCD","I"."LEDC","I"."ARM","I"."FBM","I"."FTB","I"."NA2FR","I"."NA2PT","S"."AHDM","S"."ARTJ","S"."ATBM","S"."ATBMR","S"."ATBR","S"."ATBRR","S"."CS","S"."LAMT","S"."LTFCT","S"."LBMT","S"."LDTI","S"."LMT","S"."LMTN","S"."LMTR","S"."LPET","S"."LPORET","S"."LRMT","S"."LRMTP","S"."LRMTR","S"."LSRT","S"."LSST","S"."MHDMS0","S"."MHDMS1","S"."RFD","S"."RRN","S"."RRR","S"."TD","S"."TSM","S"."TC","S"."TPM","S"."LRMCT","S"."SS13FSK34","S"."LERMT","S"."LEMDMT","S"."AGTBRE","S"."SRM","S"."LTET","S"."TPMS","S"."TPMSM","S"."TM","S"."TMF","S"."TMFM","S"."NA2TLS","S"."NA2IT","S"."CWR","S"."BPR","S"."LR","S"."HLB","S"."NA2UFTBFR","S"."DT","S"."NA28ARE","S"."RM","S"."LMTB","S"."LRMTB","S"."RRB","P"."BADUC","P"."UAN","P"."BAPS","P"."BAS","P"."UAS","P"."BATBBR","P"."BBRI","P"."BLBR","P"."ULHT","P"."BLPST","P"."BLPT","P"."UTI","P"."UUC"
FROM TESTING.ENDPOINTS
But obviously, the column family is left out of the Dataframe column name
somewhere in the process.
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