PRIYESH RANJAN created CARBONDATA-4237:
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Summary: documentation issues in github master docs.
Key: CARBONDATA-4237
URL: https://issues.apache.org/jira/browse/CARBONDATA-4237
Project: CarbonData
Issue Type: Bug
Components: docs
Affects Versions: 2.2.0
Environment: Content verified on Spark 2.4.5 and Spark 3.1.1
Reporter: PRIYESH RANJAN
+Modification 1 :+
[https://github.com/apache/carbondata/blob/master/docs/streaming-guide.md]
Streaming table don't support alter table operation(alter add columns, drop
column, rename column, change datatypes and rename table name) so In Constraint
section of this doc ,it can be added.
0: jdbc:hive2://100-112-148-186:22550/> alter table uniqdata_alter add
columns(id2 int);
Error: org.apache.hive.service.cli.HiveSQLException: Error running query:
org.apache.carbondata.common.exceptions.sql.MalformedCarbonCommandException:
Alter table add column is not allowed for streaming table
0: jdbc:hive2://100-112-148-186:22550/> alter table uniqdata_alter drop
columns(integer_column1);
Error: org.apache.hive.service.cli.HiveSQLException: Error running query:
org.apache.carbondata.common.exceptions.sql.MalformedCarbonCommandException:
Alter table drop column is not allowed for streaming table.
0: jdbc:hive2://100-112-148-186:22550/> ALTER TABLE uniqdata_alter rename TO
uniqdata_alterTable ;
Error: org.apache.hive.service.cli.HiveSQLException: Error running query:
org.apache.carbondata.common.exceptions.sql.MalformedCarbonCommandException:
Alter rename table is not allowed for streaming table.
+Modification 2 :+
[https://github.com/apache/carbondata/blob/master/docs/file-structure-of-carbondata.md]
Since Metadata folder contain segment, tablestatus and schema folder so
dictionary file related content inside metadata folder can be removed from doc.
eg : Metadata directory stores schema files, tablestatus and *dictionary files
(including .dict, .dictmeta and .sortindex).* There are three types of metadata
data information files.
+Modification 3 :+
[https://github.com/apache/carbondata/blob/master/docs/sdk-guide.md]
In the Quick Example section of following doc, it still converting date
datatype to Integer value and timestamp datatype to long value whereas now they
accept value as date and timestamp value respectively.
{{ }}{{}}
{{while (reader.hasNext()) {
Object[] row = (Object[]) reader.readNextRow();
System.out.println(String.format("%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\t",
i, row[0], row[1], row[2], row[3], row[4], row[5],
new Date((day * ((int) row[6]))), new Timestamp((long) row[7] / 1000),
row[8]
));}}{{}}{{}}
{{can be modified to}}
while (reader.hasNext()) {
Object[] row = (Object[]) reader.readNextRow();
System.out.println(String.format("%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\t",
i, row[0], row[1], row[2], row[3], row[4], row[5], row[6], row[7],
row[8], row[9]
));{{}}
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