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Posted to issues@carbondata.apache.org by GitBox <gi...@apache.org> on 2020/03/12 19:24:43 UTC
[GitHub] [carbondata] marchpure commented on a change in pull request #3665:
[HOTFIX] Fix CarbonHive CI Failures
marchpure commented on a change in pull request #3665: [HOTFIX] Fix CarbonHive CI Failures
URL: https://github.com/apache/carbondata/pull/3665#discussion_r391841990
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File path: integration/hive/src/test/java/org/apache/carbondata/hive/HiveCarbonTest.java
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@@ -52,8 +58,9 @@ public static void setup() throws Exception {
statement.execute("drop table if exists hive_carbon_table5");
statement.execute("drop table if exists hive_table");
statement.execute("drop table if exists hive_table_complex");
- statement.execute("CREATE external TABLE hive_table_complex(arrayField ARRAY<STRING>, mapField MAP<String, String>, structField STRUCT<city: String, pincode: int>) ROW FORMAT SERDE 'org.apache.hadoop.hive.contrib.serde2.MultiDelimitSerDe' WITH SERDEPROPERTIES ('field.delim'=',', 'collection.delim'='$', 'mapkey.delim'='@') location '/home/root1/projects/carbondata/integration/hive/src/main/resources/complex/' TBLPROPERTIES('external.table.purge'='false')");
- statement.execute("CREATE external TABLE hive_table( shortField SMALLINT, intField INT, bigintField BIGINT , doubleField DOUBLE, stringField STRING, timestampField TIMESTAMP, decimalField DECIMAL(18,2), dateField DATE, charField CHAR(5), floatField FLOAT) ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' location '/home/root1/projects/carbondata/integration/hive/src/main/resources/csv/' TBLPROPERTIES ('external.table.purge'='false')");
+ String csvFilePath = csvFile.getCanonicalPath().replace("\\", "/");
+ statement.execute(String.format("CREATE external TABLE hive_table_complex(arrayField ARRAY<STRING>, mapField MAP<String, String>, structField STRUCT<city: String, pincode: int>) ROW FORMAT SERDE 'org.apache.hadoop.hive.contrib.serde2.MultiDelimitSerDe' WITH SERDEPROPERTIES ('field.delim'=',', 'collection.delim'='$', 'mapkey.delim'='@') location '%s' TBLPROPERTIES('external.table.purge'='false')", csvFilePath));
Review comment:
solved
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