Riza Suminto created IMPALA-10900:
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Summary: Some parquet files are missing from Iceberg avro metadata
Key: IMPALA-10900
URL: https://issues.apache.org/jira/browse/IMPALA-10900
Project: IMPALA
Issue Type: Bug
Components: Backend
Affects Versions: Impala 4.0.0
Reporter: Riza Suminto
Assignee: Zoltán Borók-Nagy
I tried to load tpcds_3000_iceberg database based on existing parquet database.
The source database is tpcds_3000_parquet (3TB scale) and the cluster has 10
nodes.
After loading table catalog_sales, I found that the row count of
tpcds_3000_iceberg.catalog_sales is less than row count of
tpcds_3000_parquet.catalog_sales. Further debugging reveals that the CTAS query
actually finish writing parquet files, but only one parquet file per partition
gets written into Iceberg avro metadata.
For example inspecting partiton 2451120, it says that there are 2 parquet files
~ sudo -u hdfs hdfs dfs -ls
/warehouse/tablespace/external/hive/tpcds_3000_iceberg.db/catalog_sales/data/cs_sold_date_sk=2451120/
Found 2 items
-rw-rw----+ 3 impala hive 264837186 2021-08-28 20:05
/warehouse/tablespace/external/hive/tpcds_3000_iceberg.db/catalog_sales/data/cs_sold_date_sk=2451120/ec48089182b28ba9-b2910c2d00000011_1004901849_data.0.parq
-rw-rw----+ 3 impala hive 80608775 2021-08-28 20:05
/warehouse/tablespace/external/hive/tpcds_3000_iceberg.db/catalog_sales/data/cs_sold_date_sk=2451120/ec48089182b28ba9-b2910c2d00000011_1004901849_data.1.parq
However, the avro files only have
ec48089182b28ba9-b2910c2d00000011_1004901849_data.0.parq in it
{code:java}
~ avro-tools tojson /tmp/9e044ebf-f549-4c99-9952-3b8c0a70cafb-m0.avro| grep
"cs_sold_date_sk=2451120"
[main] WARN org.apache.hadoop.util.NativeCodeLoader - Unable to load
native-hadoop library for your platform... using builtin-java classes where
applicable
{"status":1,"snapshot_id":{"long":403055188554782479},"data_file":{"file_path":"hdfs://ve1315.halxg.cloudera.com:8020/warehouse/tablespace/external/hive/tpcds_3000_iceberg.db/catalog_sales/data/cs_sold_date_sk=2451120/ec48089182b28ba9-b2910c2d00000011_1004901849_data.0.parq","file_format":"PARQUET","partition":{"cs_sold_date_sk":{"long":2451120}},"record_count":3616116,"file_size_in_bytes":264837186,"block_size_in_bytes":67108864,"column_sizes":null,"value_counts":null,"null_value_counts":null,"nan_value_counts":null,"lower_bounds":null,"upper_bounds":null,"key_metadata":null,"split_offsets":null}}
{code}
The CTAS query that I use on debugging is the following:
{code:java}
create table catalog_sales
partitioned by (cs_sold_date_sk)
stored as iceberg
as select
cs_sold_time_sk,
cs_ship_date_sk,
cs_bill_customer_sk,
cs_bill_cdemo_sk,
cs_bill_hdemo_sk,
cs_bill_addr_sk,
cs_ship_customer_sk,
cs_ship_cdemo_sk,
cs_ship_hdemo_sk,
cs_ship_addr_sk,
cs_call_center_sk,
cs_catalog_page_sk,
cs_ship_mode_sk,
cs_warehouse_sk,
cs_item_sk,
cs_promo_sk,
cs_order_number,
cs_quantity,
cs_wholesale_cost,
cs_list_price,
cs_sales_price,
cs_ext_discount_amt,
cs_ext_sales_price,
cs_ext_wholesale_cost,
cs_ext_list_price,
cs_ext_tax,
cs_coupon_amt,
cs_ext_ship_cost,
cs_net_paid,
cs_net_paid_inc_tax,
cs_net_paid_inc_ship,
cs_net_paid_inc_ship_tax,
cs_net_profit,
cs_sold_date_sk
from tpcds_3000_parquet.catalog_sales where cs_sold_date_sk > 2451100 and
cs_sold_date_sk <= 2451200;
{code}
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