Files
impala/testdata/datasets
Gergely Fürnstáhl d0fe4c604f IMPALA-11619: Improve Iceberg V2 reads with a custom Iceberg Position Delete operator
IcebergDeleteNode and IcebergDeleteBuild classes are based on
PartitionedHashJoin counterparts. The actual "join" part of the node is
optimized, while others are kept very similarly, to be able to integrate
features of PartitionedHashJoin if needed (partitioning, spilling).

ICEBERG_DELETE_JOIN is added as a join operator which is used only by
IcebergDeleteNode node.

IcebergDeleteBuild processes the data from the relevant delete files and
stores them in a {file_path: ordered row id vector} hash map.

IcebergDeleteNode tracks the processed file and progresses through the
row id vector parallel to the probe batch to check if a row is deleted
or hashes the probe row's file path and uses binary search to find the
closest row id if it is needed for the check.

Testing:
  - Duplicated related planner tests to run both with new operator and
hash join
  - Added a dimension for e2e tests to run both with new operator and
hash join
  - Added new multiblock tests to verify assumptions used in new
operator to optimize probing
  - Added new test with BATCH_SIZE=2 to verify in/out batch handling
with new operator

Change-Id: I024a61573c83bda5584f243c879d9ff39dd2dcfa
Reviewed-on: http://gerrit.cloudera.org:8080/19850
Reviewed-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
2023-07-05 20:32:23 +00:00
..

This directory contains Impala test data sets. The directory layout is structured as follows:

datasets/
   <data set>/<data set>_schema_template.sql
   <data set>/<data files SF1>/data files
   <data set>/<data files SF2>/data files

Where SF is the scale factor controlling data size. This allows for scaling the same schema to
different sizes based on the target test environment.

The schema template SQL files have the following format:

  The goal is to provide a single place to define a table + data files
  and have the schema and data load statements generated for each combination of file
  format, compression, etc. The way this works is by specifying how to create a
  'base table'. The base table can be used to generate tables in other file formats
  by performing the defined INSERT / SELECT INTO statement. Each new table using the
  file format/compression combination needs to have a unique name, so all the
  statements are pameterized on table name.
  The template file is read in by the 'generate_schema_statements.py' script to
  to generate all the schema for the Impala benchmark tests.

  Each table is defined as a new section in the file with the following format:

  ====
  ---- SECTION NAME
  section contents
  ...
  ---- ANOTHER SECTION
  ... section contents
  ---- ... more sections...

  Note that tables are delimited by '====' and that even the first table in the
  file must include this header line.

  The supported section names are:

  DATASET
      Data set name - Used to group sets of tables together
  BASE_TABLE_NAME
      The name of the table within the database
  CREATE
      Explicit CREATE statement used to create the table (executed by Impala)
  CREATE_HIVE
      Same as the above, but will be executed by Hive instead. If specified,
      'CREATE' must not be specified.
  CREATE_KUDU
      Customized CREATE TABLE statement used to create the table for Kudu-specific
      syntax.

  COLUMNS
  PARTITION_COLUMNS
  ROW_FORMAT
  HBASE_COLUMN_FAMILIES
  TABLE_PROPERTIES
  HBASE_REGION_SPLITS
      If no explicit CREATE statement is provided, a CREATE statement is generated
      from these sections (see 'build_table_template' function in
      'generate-schema-statements.py' for details)

  ALTER
      A set of ALTER statements to be executed after the table is created
      (typically to add partitions, but may also be used for other settings that
      cannot be specified directly in the CREATE TABLE statement).

      These statements are ignored for HBase and Kudu tables.

  LOAD
      The statement used to load the base (text) form of the table. This is
      typically a LOAD DATA statement.

  DEPENDENT_LOAD
  DEPENDENT_LOAD_KUDU
  DEPENDENT_LOAD_HIVE
  DEPENDENT_LOAD_ACID
      Statements to be executed during the "dependent load" phase. These statements
      are run after the initial (base table) load is complete.

  HIVE_MAJOR_VERSION
       The required major version of Hive for this table. If the major version
       of Hive at runtime does not exactly match the version specified in this section,
       the table will be skipped.

       NOTE: this is not a _minimum_ version -- if HIVE_MAJOR_VERSION specifies '2',
                   the table will _not_ be loaded/created on Hive 3.