====
---- QUERY
# Read from the corrupt files. We may get partial results.
select * from bad_avro_snap_strings
---- RESULTS: VERIFY_IS_SUPERSET
'valid'
---- TYPES
string
---- ERRORS
row_regex: .*Problem parsing file $NAMENODE/.*
File '$NAMENODE/test-warehouse/bad_avro_snap_strings_avro_snap/truncated_string.avro' is corrupt: truncated data block at offset 155
File '$NAMENODE/test-warehouse/bad_avro_snap_strings_avro_snap/negative_string_len.avro' is corrupt: invalid length -7 at offset 164
File '$NAMENODE/test-warehouse/bad_avro_snap_strings_avro_snap/invalid_union.avro' is corrupt: invalid union value 4 at offset 174 (1 of 2 similar)
====
---- QUERY
# Read from the corrupt files. We may get partial results.
select * from bad_avro_snap_floats
---- RESULTS: VERIFY_IS_SUPERSET
1
---- TYPES
float
---- ERRORS
Problem parsing file $NAMENODE/test-warehouse/bad_avro_snap_floats_avro_snap/truncated_float.avro at 159
File '$NAMENODE/test-warehouse/bad_avro_snap_floats_avro_snap/truncated_float.avro' is corrupt: truncated data block at offset 159
====
---- QUERY
select * from bad_avro_decimal_schema
---- TYPES
string,decimal
---- RESULTS
---- ERRORS
Column 'value': invalid Avro decimal type with precision = '5' scale = '7'
====
---- QUERY
# Out of range DATE values in an avro table.
# Note that when the avro scanner encounters an out of range DATE error a warning is
# emitted and no result rows are returned. This behavior differs from how the parquet
# scanner works but it is consistent with how avro scanner handles similar errors.
select * from bad_avro_date_out_of_range;
---- RESULTS
---- TYPES
DATE
---- ERRORS
Problem parsing file $NAMENODE/test-warehouse/bad_avro_date_out_of_range_avro_snap/out_of_range_date.avro at 204
Avro file '$NAMENODE/test-warehouse/bad_avro_date_out_of_range_avro_snap/out_of_range_date.avro' is corrupt: out of range date value -719530 at offset 204. The valid date range is -719162..2932896 (0001-01-01..9999-12-31).
====
---- QUERY
# Query an avro table created by Hive 2.1.1 containig the following dates:
# 1582-10-04, 1582-10-05, 1582-10-06, 1582-10-15, 1582-10-16.
# Impala will incorrectly read back the dates that precede the introduction of Gregorian
# calendar (1582-10-15).
select * from hive2_bad_avro_date_pre_gregorian;
---- TYPES
DATE
---- RESULTS
1582-10-14
1582-10-15
1582-10-16
1582-10-15
1582-10-16
====
---- QUERY
# Query an avro table created by Hive 3.1.0  containig the following dates:
# 1582-10-04, 1582-10-05, 1582-10-06, 1582-10-15, 1582-10-16.
# Impala will correctly read back all the dates, including those that precede the
# introduction of Gregorian calendar (1582-10-15).
select * from hive3_avro_date_pre_gregorian;
---- TYPES
DATE
---- RESULTS
1582-10-04
1582-10-05
1582-10-06
1582-10-15
1582-10-16
====