Details
Minor Description
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). These line from doc can be modifed as Metadata directory stores schema files, tablestatus and segments details.
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]
));{{}}