impala/tests/util/workload_management.py

# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
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# specific language governing permissions and limitations
# under the License.

from __future__ import absolute_import, division, print_function
from datetime import datetime
import os
import re
from time import sleep, time

from impala_thrift_gen.SystemTables.ttypes import TQueryTableColumn
from tests.util.assert_time import assert_time_str, convert_to_milliseconds
from tests.util.memory import assert_byte_str, convert_to_bytes
from tests.util.query_profile_util import (
    parse_admission_result,
    parse_coordinator,
    parse_db_user,
    parse_default_db,
    parse_impala_query_state,
    parse_num_rows_fetched,
    parse_query_id,
    parse_query_state,
    parse_query_status,
    parse_query_type,
    parse_session_id,
    parse_sql,
)

DEDICATED_COORD_SAFETY_BUFFER_BYTES = 104857600
WM_DB = "sys"
QUERY_TBL_LOG_NAME = "impala_query_log"
QUERY_TBL_LOG = "{0}.{1}".format(WM_DB, QUERY_TBL_LOG_NAME)
QUERY_TBL_LIVE_NAME = "impala_query_live"
QUERY_TBL_LIVE = "{0}.{1}".format(WM_DB, QUERY_TBL_LIVE_NAME)

# Time in seconds the assert_query and assert_csv_col will wait for the query to become
# available in the relevant workload management table.
ASSERT_QUERY_TIMEOUT_S = 30

# String parsing format for query start/end time fields in a text query profile.
QUERY_PROFILE_DT_FORMAT = "%Y-%m-%d %H:%M:%S.%f"


def round_to_3(val):
  # The differences between round in Python 2 and Python 3 do not matter here.
  # pylint: disable=round-builtin
  return round(val, 3)


def assert_query(query_tbl, client, expected_cluster_id="", raw_profile=None,
    impalad=None, query_id=None, max_mem_for_admission=None, max_row_size=None,
    expected_overrides={}):
  """Helper function to assert that the values in the completed query log table
      match the values from the query profile."""

  ret_data = {}

  # If query_id was specified, read the profile from the Impala webserver.
  if query_id is not None:
    assert impalad is not None
    assert raw_profile is None, "cannot specify both query_id and raw_profile"
    profile_text = impalad.service.read_query_profile_page(query_id)
  else:
    profile_text = raw_profile
    assert query_id is None, "cannot specify both raw_profile and query_id"
    query_id = parse_query_id(profile_text)

  print("Query Id: {0}".format(query_id))
  profile_lines = profile_text.split("\n")

  success = False
  sql_results = None

  start_time = time()
  while (time() - start_time <= ASSERT_QUERY_TIMEOUT_S):
    # Force Impala to process the inserts to the completed queries table.
    if query_tbl != QUERY_TBL_LIVE:
      client.execute("refresh " + query_tbl)

    # Assert the query was written correctly to the query log table.
    if max_row_size is not None:
      client.set_configuration_option("MAX_ROW_SIZE", max_row_size)
    sql_results = client.execute("select * from {0} where query_id='{1}'".format(
        query_tbl, query_id))
    if sql_results.success and len(sql_results.data) == 1:
      success = True
      break

    # Query is not yet available in the workload management table, wait and try again.
    sleep(1)

  assert success, "Did not find query '{}' in the '{}' table after multiple attempts" \
      .format(query_id, query_tbl)


  # Assert the expected columns were included.
  assert len(sql_results.column_labels) == len(TQueryTableColumn._VALUES_TO_NAMES)
  data = sql_results.data[0].split("\t")
  assert len(data) == len(sql_results.column_labels)

  def column_val(index):
    name = TQueryTableColumn._VALUES_TO_NAMES[index]
    assert sql_results.column_labels[index] == name
    ret_data[name] = data[index]
    return data[index]

  def assert_col(col, profile_re):
    """Asserts the value of a single column matches the expected value retrieved from the
       profile regular expression. Uses the value specified in expected_overrides if a
       value exists for the specified column."""
    value = column_val(col)
    if col in expected_overrides:
      assert value == expected_overrides[col]
    else:
      columns = re.search(profile_re, profile_text)
      if columns is not None:
        assert value == columns.group(1)
      else:
        assert value == ""

  # Cluster ID
  assert column_val(TQueryTableColumn.CLUSTER_ID) == expected_cluster_id,\
      "cluster id incorrect"

  # Query ID
  assert column_val(TQueryTableColumn.QUERY_ID) == query_id

  # Session ID
  assert column_val(TQueryTableColumn.SESSION_ID) == parse_session_id(profile_text), \
      "session id incorrect"

  # Session Type
  session_type = re.search(r'\n\s+Session Type:\s+(.*)\n', profile_text)
  assert session_type is not None
  assert column_val(TQueryTableColumn.SESSION_TYPE) == session_type.group(1),\
      "session type incorrect"

  # HS2 Protocol Version
  value = column_val(TQueryTableColumn.HIVESERVER2_PROTOCOL_VERSION)
  if session_type.group(1) == "HIVESERVER2":
    hs2_ver = re.search(r'\n\s+HiveServer2 Protocol Version:\s+(.*)', profile_text)
    assert hs2_ver is not None
    assert value == hs2_ver.group(1)
  else:
    assert value == ""

  # Database User
  assert column_val(TQueryTableColumn.DB_USER) == parse_db_user(profile_text), \
      "db user incorrect"

  # Connected Database User
  db_user = re.search(r'\n\s+Connected User:\s+(.*?)\n', profile_text)
  assert db_user is not None
  assert column_val(TQueryTableColumn.DB_USER_CONNECTION) == db_user.group(1),\
      "db user connection incorrect"

  # Database Name
  default_db = parse_default_db(profile_text)
  assert column_val(TQueryTableColumn.DB_NAME) == default_db, \
      "database name incorrect"

  # Coordinator
  coordinator = parse_coordinator(profile_text)
  assert column_val(TQueryTableColumn.IMPALA_COORDINATOR) == coordinator, \
      "impala coordinator incorrect"

  # Query Status (can be multiple lines if the query errored)
  assert column_val(TQueryTableColumn.QUERY_STATUS) == parse_query_status(profile_text), \
      "query status incorrect"

  # Query State
  query_state_value = parse_query_state(profile_text)
  assert column_val(TQueryTableColumn.QUERY_STATE) == query_state_value,\
      "query state incorrect"

  # Impala Query End State
  assert column_val(TQueryTableColumn.IMPALA_QUERY_END_STATE) \
      == parse_impala_query_state(profile_text), "impala query end state incorrect"

  # Query Type
  value = column_val(TQueryTableColumn.QUERY_TYPE)
  if query_state_value == "EXCEPTION":
    assert value == "UNKNOWN", "query type incorrect"
  else:
    query_type = parse_query_type(profile_text)
    assert value == query_type, "query type incorrect"

  # Client Network Address
  network_address = re.search(r'\n\s+Network Address:\s+(.*?)\n', profile_text)
  assert network_address is not None
  assert column_val(TQueryTableColumn.NETWORK_ADDRESS) == network_address.group(1),\
      "network address incorrect"

  # offset from UTC
  utc_now = datetime.utcnow().replace(microsecond=0, second=0)
  local_now = datetime.now().replace(microsecond=0, second=0)
  utc_offset = utc_now - local_now

  # Start Time
  start_time = re.search(r'\n\s+Start Time:\s+(.*?)\n', profile_text)
  assert start_time is not None
  start_time_obj = datetime.strptime(start_time.group(1)[:-3], QUERY_PROFILE_DT_FORMAT)
  start_time_obj_utc = start_time_obj + utc_offset
  expected = start_time_obj_utc.strftime(QUERY_PROFILE_DT_FORMAT)
  actual = column_val(TQueryTableColumn.START_TIME_UTC)[:-3]
  assert actual == expected, "start time incorrect, expected '{}' but was '{}'" \
      .format(expected, actual)

  # End Time (not in table, but needed for duration calculation)
  end_time = re.search(r'\n\s+End Time:\s+(.*?)\n', profile_text)
  assert end_time is not None
  end_time_obj = datetime.strptime(end_time.group(1)[:-3], QUERY_PROFILE_DT_FORMAT)

  # Query Duration (allow values that are within 1 second)
  value = column_val(TQueryTableColumn.TOTAL_TIME_MS)
  duration = end_time_obj - start_time_obj
  min_allowed = round_to_3(duration.total_seconds() * 1000 * 0.999)
  max_allowed = round_to_3(duration.total_seconds() * 1000 * 1.001)
  assert min_allowed <= float(value) <= max_allowed, "total time incorrect"

  # Query Options Set By Configuration
  value = column_val(TQueryTableColumn.QUERY_OPTS_CONFIG)
  if query_state_value == "EXCEPTION":
    assert value != "", "query options set by config incorrect"
  else:
    query_opts = re.search(r'\n\s+Query Options \(set by configuration\):\s+(.*?)\n',
        profile_text)
    assert query_opts is not None
    assert value == query_opts.group(1).replace("&apos;", "'").replace("&quot;", '"'), \
        "query opts set by config incorrect"

  # Resource Pool
  value = column_val(TQueryTableColumn.RESOURCE_POOL)
  if query_state_value == "EXCEPTION":
    assert value == "", "resource pool incorrect"
  else:
    if query_type != "DDL":
      req_pool = re.search(r'\n\s+Request Pool:\s+(.*?)\n', profile_text)
      assert req_pool is not None
      assert value == req_pool.group(1), "request pool incorrect"
    else:
      assert value == "", "request pool not empty"

  # Per-host Memory Estimate
  value = column_val(TQueryTableColumn.PER_HOST_MEM_ESTIMATE)
  if query_state_value == "EXCEPTION" or query_type == "DDL":
    assert value == "0", "per-host memory estimate incorrect"
  else:
    # First check the Estimated Per-Host Mem from the query profile. This value may not
    # match though because certain query options can cause this value to diverge from the
    # per-host memory estimate stored in the query history table.
    est_perhost_mem = re.search(r'\n\s+Estimated Per-Host Mem:\s+(\d+)\n', profile_text)
    assert est_perhost_mem is not None
    if est_perhost_mem.group(1) != value:
      # The profile and db values diverged, use the Per-Host Resource Estimates field from
      # the query profile as the expected value. Since query profile value is an estimate,
      # it's not as good to use, but it's all we have available.
      perhost_mem_est = re.search(r'\nPer-Host Resource Estimates:\s+Memory\=(.*?)\n',
          profile_text)
      assert perhost_mem_est is not None
      assert_byte_str(expected_str=perhost_mem_est.group(1), actual_bytes=value,
          msg="per-host memory estimate incorrect", unit_combined=True)

  # Dedicated Coordinator Memory Estimate
  # This value is different because it is the minimum of the query option
  # MAX_MEM_ESTIMATE_FOR_ADMISSION or a calculation that includes a 100mb buffer.
  # Thus, callers must specify if the query being asserted had that option set.
  value = column_val(TQueryTableColumn.DEDICATED_COORD_MEM_ESTIMATE)
  if query_state_value == "EXCEPTION" or query_type == "DDL":
    assert value == "0", "dedicated coordinator memory estimate incorrect"
  elif query_type == "DML":
    assert value == str(DEDICATED_COORD_SAFETY_BUFFER_BYTES), \
        "dedicated coordinator memory estimate incorrect"
  else:
    if max_mem_for_admission is not None:
      # The MAX_MEM_ESTIMATE_FOR_ADMISSION query option was specified, thus that should
      # be the value that was written to the database.
      assert str(max_mem_for_admission) == value, \
          "dedicated coordinator memory estimate incorrect"
    else:
      root_mem = re.search(r'\n\nF\d+:PLAN FRAGMENT.*?mem-estimate=(\S+?) mem',
          profile_text, re.DOTALL)
      assert root_mem is not None, "dedicated coordinator memory estimate incorrect"
      buffer = DEDICATED_COORD_SAFETY_BUFFER_BYTES
      assert_byte_str(expected_str=root_mem.group(1),
          actual_bytes=int(value) - buffer,
          msg="dedicated coordinator memory estimate incorrect", unit_combined=True)

  # Per-Host Fragment Instances
  value = column_val(TQueryTableColumn.PER_HOST_FRAGMENT_INSTANCES)
  if query_state_value == "EXCEPTION" or query_type == "DDL":
    assert value == "", "per-host fragment instances incorrect"
  else:
    perhost_frags = re.search(r'\n\s+Per Host Number of Fragment Instances:\s+(.*?)\n',
        profile_text)
    assert perhost_frags is not None
    expected = ",".join(sorted(perhost_frags.group(1).replace("(", "=")
        .replace(")", "").split(" ")))
    assert value == expected, ('per-host fragment instances incorrect.'
        ' expected="{0}" actual="{1}"').format(expected, value)

  # Backends Count
  value = column_val(TQueryTableColumn.BACKENDS_COUNT)
  num_bck = re.search(r'\n\s+\- NumBackends:\s+(\d+)', profile_text)
  if query_state_value == "EXCEPTION" or query_type == "DDL":
    assert num_bck is None
    assert value == "0", "backends count incorrect"
  else:
    assert num_bck is not None
    assert value == num_bck.group(1), "backends count incorrect"

  # Admission Result
  value = column_val(TQueryTableColumn.ADMISSION_RESULT)
  adm_result = parse_admission_result(profile_text, True)
  if query_state_value == "EXCEPTION" or query_type == "DDL":
    assert adm_result is None
    assert value == "", "admission result incorrect"
  else:
    assert adm_result is not None
    assert value == adm_result, "admission result incorrect"

  # Cluster Memory Admitted
  value = column_val(TQueryTableColumn.CLUSTER_MEMORY_ADMITTED)
  clust_mem = re.search(r'\n\s+Cluster Memory Admitted:\s+(.*?)\n', profile_text)
  if query_state_value == "EXCEPTION":
    assert clust_mem is None
  else:
    if query_type != "DDL":
      assert clust_mem is not None
      assert_byte_str(expected_str=clust_mem.group(1), actual_bytes=value,
          msg="cluster memory admitted incorrect")
    else:
      assert value == "0", "cluster memory not zero"

  # Executor Group
  value = column_val(TQueryTableColumn.EXECUTOR_GROUP)
  exec_group = re.search(r'\n\s+Executor Group:\s+(.*?)\n', profile_text)
  if query_state_value == "EXCEPTION" or query_type == "DDL":
    assert exec_group is None
    assert value == "", "executor group should not have been found"
  else:
    assert exec_group is not None
    assert value == exec_group.group(1), "executor group incorrect"

  # Executor Groups
  value = column_val(TQueryTableColumn.EXECUTOR_GROUPS)
  # The following regular expression matches both named and unnamed executor groups in the
  # query profile.  For example, both of the following lines will match this regex:
  #    Executor group 1 (small):
  #    Executor group 1:
  exec_groups = re.search(r'\n\s+(Executor group \d+(?:\s+\(\w+\))?:.*?)\n\s+PlannerInfo',
      profile_text, re.DOTALL)
  if query_state_value == "EXCEPTION":
    assert exec_groups is None, "executor groups should not have been found"
  else:
    assert exec_groups is not None
    dedent_str = re.sub(r'^\s{6}', '', exec_groups.group(1), flags=re.MULTILINE)
    assert value == dedent_str, "executor groups incorrect"

  # Exec Summary
  value = column_val(TQueryTableColumn.EXEC_SUMMARY)
  exec_sum = re.search(r'\n\s+ExecSummary:\s*\n(.*)\n\s+Errors', profile_text, re.DOTALL)
  if query_state_value == "EXCEPTION" or query_type == "DDL":
    assert exec_sum is None
    assert value == ""
  else:
    assert exec_sum is not None
    assert value == exec_sum.group(1)

  # Rows Fetched
  value = column_val(TQueryTableColumn.NUM_ROWS_FETCHED)
  rows_fetched = parse_num_rows_fetched(profile_text, True)
  if query_state_value == "EXCEPTION":
    assert rows_fetched is None
  else:
    assert rows_fetched is not None
    assert value == str(rows_fetched)

  # Row Materialization Rate
  value = column_val(TQueryTableColumn.ROW_MATERIALIZATION_ROWS_PER_SEC)
  if query_state_value == "EXCEPTION" or query_type == "DDL" or query_type == 'DML':
    assert value == "0", "row materialization rate incorrect"
  else:
    row_mat = re.search(r'\n\s+\-\s+RowMaterializationRate:\s+(\S+)\s+([MK])?',
        profile_text)
    assert row_mat is not None
    tolerance = int(value) * 0.005
    expected_row_mat = 0
    if row_mat.group(2) == "K":
      expected_row_mat = int(float(row_mat.group(1)) * 1000)
    elif row_mat.group(2) == "M":
      expected_row_mat = int(float(row_mat.group(1)) * 1000000)
    else:
      expected_row_mat = int(float(row_mat.group(1)))
    assert expected_row_mat - tolerance <= int(value) \
        <= expected_row_mat + tolerance, "row materialization rate incorrect"

  # Row Materialization Time
  value = column_val(TQueryTableColumn.ROW_MATERIALIZATION_TIME_MS)
  row_mat_tmr = re.search(r'\n\s+\-\s+RowMaterializationTimer:\s+(.*?)\n', profile_text)
  if query_state_value == "EXCEPTION":
    assert row_mat_tmr is None
  elif query_type == "DDL" or query_type == 'DML':
    assert row_mat_tmr is not None
    assert row_mat_tmr.group(1) == "0.000ns", "row materialization timer incorrect"
  else:
    assert row_mat_tmr is not None
    assert_time_str(row_mat_tmr.group(1), value,
        "row materialization time incorrect")

  # Compressed Bytes Spilled
  scratch_bytes_total = 0
  for sbw in re.findall(r'\n\s+\-\s+ScratchBytesWritten:.*?\((\d+)\)', profile_text):
    scratch_bytes_total += int(sbw)
  assert int(column_val(TQueryTableColumn.COMPRESSED_BYTES_SPILLED)) \
      == scratch_bytes_total

  # Parse out only the query timeline.
  timeline = re.search(r'\n\s+Query Timeline:(.*?)\n\s+Frontend', profile_text, re.DOTALL)
  assert timeline is not None, "query timeline not found"
  timeline = timeline.group(1)

  # Event Timeline Planning Finished
  value = column_val(TQueryTableColumn.EVENT_PLANNING_FINISHED)
  if query_state_value == "EXCEPTION":
    assert value == "0.000", "planning finished event incorrect"
  else:
    event = re.search(r'\n\s+\-\s+Planning finished:\s+(\S+)', timeline)
    assert event is not None, "planning finished event missing"
    assert_time_str(event.group(1), value, "planning finished event incorrect")

  # Event Timeline Submit for Admission
  value = column_val(TQueryTableColumn.EVENT_SUBMIT_FOR_ADMISSION)
  if query_state_value == "EXCEPTION" or query_type == "DDL":
    assert value == "0.000", "submit for admission event incorrect"
  else:
    event = re.search(r'\n\s+\-\s+Submit for admission:\s+(\S+)', timeline)
    assert event is not None, "submit for admission event missing"
    assert_time_str(event.group(1), value, "submit for admission event incorrect")

  # Event Timeline Completed Admission
  value = column_val(TQueryTableColumn.EVENT_COMPLETED_ADMISSION)
  if query_state_value == "EXCEPTION" or query_type == "DDL":
    assert value == "0.000", "completed admission event incorrect"
  else:
    event = re.search(r'\n\s+\-\s+Completed admission:\s+(\S+)', timeline)
    assert event is not None, "completed admission event missing"
    assert_time_str(event.group(1), value, "completed admission event incorrect")

  # Event Timeline All Backends Started
  value = column_val(TQueryTableColumn.EVENT_ALL_BACKENDS_STARTED)
  if query_state_value == "EXCEPTION" or query_type == "DDL":
    assert value == "0.000", "all backends started event incorrect"
  else:
    event = re.search(r'\n\s+\-\s+All \d+ execution backends \(\d+ fragment instances\)'
        r' started:\s+(\S+)', timeline)
    assert event is not None, "all backends started event missing"
    assert_time_str(event.group(1), value, "all backends started event incorrect")

  # Event Timeline Rows Available
  value = column_val(TQueryTableColumn.EVENT_ROWS_AVAILABLE)
  if query_state_value == "EXCEPTION" or query_type == "DML":
    assert value == "0.000", "rows available event incorrect"
  else:
    event = re.search(r'\n\s+\-\s+Rows available:\s+(\S+)', timeline)
    assert event is not None, "rows available event missing"
    assert_time_str(event.group(1), value, "rows available event incorrect")

  # Event Timeline First Row Fetched
  value = column_val(TQueryTableColumn.EVENT_FIRST_ROW_FETCHED)
  if query_state_value == "EXCEPTION" or query_type == "DDL" or query_type == "DML":
    assert value == "0.000", "first row fetched event incorrect"
  else:
    event = re.search(r'\n\s+\-\s+First row fetched:\s+(\S+)', timeline)
    assert event is not None, "first row fetched event missing"
    assert_time_str(event.group(1), value, "first row fetched event incorrect")

  # Event Timeline Last Row Fetched
  value = column_val(TQueryTableColumn.EVENT_LAST_ROW_FETCHED)
  if query_state_value == "EXCEPTION" or query_type == "DDL":
    assert value == "0.000", "last row fetched event incorrect"
  else:
    event = re.search(r'\n\s+\-\s+Last row fetched:\s+(\S+)', timeline)
    assert event is not None, "last row fetched event missing"
    assert_time_str(event.group(1), value, "last row fetched event incorrect")

  # Event Timeline Unregister Query
  value = column_val(TQueryTableColumn.EVENT_UNREGISTER_QUERY)
  event = re.search(r'\n\s+\-\s+Unregister query:\s+(\S+)', timeline)
  assert event is not None, "unregister query event missing"
  assert_time_str(event.group(1), value, "unregister query event incorrect")

  # Read IO Wait Total
  value = column_val(TQueryTableColumn.READ_IO_WAIT_TOTAL_MS)
  total_read_wait = 0
  if (query_state_value != "EXCEPTION" and query_type == "QUERY") or value != "0":
    re_wait_time = re.compile(r'^\s+\-\s+ScannerIoWaitTime:\s+(.*?)$')
    read_waits = assert_scan_node_metrics(re_wait_time, profile_lines)
    for r in read_waits:
      total_read_wait += convert_to_milliseconds(r)

    tolerance = total_read_wait * 0.001

    assert total_read_wait - tolerance <= float(value) <= \
        total_read_wait + tolerance, "read io wait time total incorrect"
  else:
    assert value == "0.000"

  # Read IO Wait Average
  value = column_val(TQueryTableColumn.READ_IO_WAIT_MEAN_MS)
  if (query_state_value != "EXCEPTION" and query_type == "QUERY"
      and len(read_waits) != 0) or value != "0.000":
    avg_read_wait = round_to_3(float(total_read_wait / len(read_waits)))
    assert avg_read_wait - tolerance <= float(value) <= avg_read_wait + tolerance, \
        "read io wait time average incorrect"
  else:
    assert value == "0.000"

  # Total Bytes Read From Cache
  value = column_val(TQueryTableColumn.BYTES_READ_CACHE_TOTAL)
  if (query_state_value != "EXCEPTION" and query_type == "QUERY") or value != "0":
    re_cache_read = re.compile(r'^\s+\-\s+DataCacheHitBytes:\s+.*?\((\d+)\)$')
    read_from_cache = assert_scan_node_metrics(re_cache_read, profile_lines)

    total_read = 0
    for r in read_from_cache:
      total_read += int(r)
    assert total_read == int(value), "bytes read from cache total incorrect"
  else:
    assert value == "0"

  # Total Bytes Read
  value = column_val(TQueryTableColumn.BYTES_READ_TOTAL)
  bytes_read = re.search(r'\n\s+\-\s+TotalBytesRead:\s+.*?\((\d+)\)\n', profile_text)
  if query_state_value != "EXCEPTION" and query_type == "QUERY":
    assert bytes_read is not None, "total bytes read missing"
  if bytes_read is not None:
    assert value == bytes_read.group(1), "total bytes read incorrect"

  # Calculate all peak memory usage stats by scraping the query profile.
  peak_mem_cnt = 0
  min_peak_mem = 0
  max_peak_mem = 0
  total_peak_mem = 0
  for peak_mem in re.findall(r'\n\s+Per Node Peak Memory Usage:(.*?)\n', profile_text):
    for node in re.findall(r'\s+.*?:\d+\((.*?)\)', peak_mem):
      peak_mem_cnt += 1
      conv = convert_to_bytes(node)
      total_peak_mem += conv
      if conv < min_peak_mem or min_peak_mem == 0:
        min_peak_mem = conv
      if conv > max_peak_mem:
        max_peak_mem = conv
  if query_state_value != "EXCEPTION" and query_type != "DDL":
    assert peak_mem_cnt > 0, "did not find per node peak memory usage"

  # Per Node Peak Memory Usage Min
  value = column_val(TQueryTableColumn.PERNODE_PEAK_MEM_MIN)
  tolerance = int(min_peak_mem * 0.005)
  assert min_peak_mem - tolerance <= int(value) <= min_peak_mem + tolerance, \
      "pernode peak memory minimum incorrect"

  # Per Node Peak Memory Usage Max
  value = column_val(TQueryTableColumn.PERNODE_PEAK_MEM_MAX)
  tolerance = int(max_peak_mem * 0.005)
  assert max_peak_mem - tolerance <= int(value) <= max_peak_mem + tolerance, \
      "pernode peak memory maximum incorrect"

  # Per Node Peak Memory Usage Mean
  value = column_val(TQueryTableColumn.PERNODE_PEAK_MEM_MEAN)
  mean_peak_mem = 0
  if peak_mem_cnt > 0:
    mean_peak_mem = int(total_peak_mem / peak_mem_cnt)
  tolerance = int(max_peak_mem * 0.005)
  assert mean_peak_mem - tolerance <= int(value) <= mean_peak_mem + tolerance, \
      "pernode peak memory mean incorrect"

  # SQL statement
  assert column_val(TQueryTableColumn.SQL) == parse_sql(profile_text), "sql incorrect"

  # Query Plan
  value = column_val(TQueryTableColumn.PLAN)
  plan = re.search(r'\n\s+Plan:\s*\n(.*)\n\s+Estimated Per-Host Mem', profile_text,
      re.DOTALL)
  if query_state_value == "EXCEPTION" or query_type == "DDL":
    assert plan is None
    assert value == ""
  else:
    assert plan is not None
    assert value == plan.group(1)

  # Tables Queried
  value = column_val(TQueryTableColumn.TABLES_QUERIED)
  tables = re.search(r'\n\s+Tables Queried:\s+(.*?)\n', profile_text)
  if query_state_value == "EXCEPTION" or query_type == "DDL":
    assert tables is None
    assert value == ""
  else:
    assert tables is not None
    assert value == tables.group(1)

  # Select Columns
  assert_col(TQueryTableColumn.SELECT_COLUMNS, r'\n\s+Select Columns:\s+(.*?)\n')

  # Where Columns
  assert_col(TQueryTableColumn.WHERE_COLUMNS, r'\n\s+Where Columns:\s+(.*?)\n')

  # Join Columns
  assert_col(TQueryTableColumn.JOIN_COLUMNS, r'\n\s+Join Columns:\s+(.*?)\n')

  # Aggregate Columns
  assert_col(TQueryTableColumn.AGGREGATE_COLUMNS, r'\n\s+Aggregate Columns:\s+(.*?)\n')

  # OrderBy Columns
  assert_col(TQueryTableColumn.ORDERBY_COLUMNS, r'\n\s+OrderBy Columns:\s+(.*?)\n')

  # Coordinator and Executor Slots Columns
  admission_slots = re.findall(
    r'\n\s+\-\s+AdmissionSlots:\s+(\d*?)\s+.*?\n', profile_text)
  value = column_val(TQueryTableColumn.COORDINATOR_SLOTS)
  if TQueryTableColumn.COORDINATOR_SLOTS in expected_overrides:
    assert value == expected_overrides[TQueryTableColumn.COORDINATOR_SLOTS]
  else:
    # The first host has the coordinator admission slots.
    expected_coordinator_slots = admission_slots[0] if len(admission_slots) > 0 else "0"
    assert value == expected_coordinator_slots
  value = column_val(TQueryTableColumn.EXECUTOR_SLOTS)
  if TQueryTableColumn.EXECUTOR_SLOTS in expected_overrides:
    assert value == expected_overrides[TQueryTableColumn.EXECUTOR_SLOTS]
  else:
    # Take executor admission slots from the second impalad.
    expected_executor_slots = admission_slots[1] if len(admission_slots) > 1 else "0"
    assert value == expected_executor_slots

  return ret_data
# function assert_query


def assert_scan_node_metrics(re_metric, profile_lines):
  """Retrieves metrics reported under HDFS_SCAN_NODEs removing any metrics from
      Averaged Fragments. The provided re_metric must be a compiled regular expression
      with at least one capture group. Returns a list of the contents of the first
      capture group in the re_metrics regular expression for all matching metrics."""
  metrics = []

  re_in_scan = re.compile(r'^\s+HDFS_SCAN_NODE')
  re_avg_fgmt = re.compile(r'^(\s+)Averaged Fragment')
  in_scan = False
  in_avg_fgmt = 0
  for line in profile_lines:
    avg_fmt_res = re_avg_fgmt.search(line)
    if avg_fmt_res is not None:
      # Averaged Fragments sometimes have HDFS_SCAN_NODEs which must be skipped.
      in_avg_fgmt = len(avg_fmt_res.group(1))
    elif in_avg_fgmt > 0 and line[in_avg_fgmt + 1] != " ":
      # Found a line at the same indentation as the previous Averaged Fragement, thus
      # we successfully skipped over any HDFS_SCAN_NODEs if they existed.
      in_avg_fgmt = 0
    elif in_avg_fgmt == 0 and re_in_scan.match(line) is not None:
      # Found a HDFS_SCAN_NODE that was not under an Averaged Fragment.
      in_scan = True
    elif in_scan:
      # Search through the HDFS_SCAN_NODE for the metric.
      res = re_metric.search(line)
      if res is not None:
        metrics.append(res.group(1))
        in_scan = False

  return metrics
# function assert_scan_node_metrics


def assert_csv_col(client, query_tbl, col, query_id, expected_list, db="tpcds"):
  """Asserts that a single column that contains a string of comma separated values
     matches a list of expected values. Order of elements does not matter."""

  print("Query Id: {0}".format(query_id))

  success = False
  sql_results = None

  start_time = time()
  while (time() - start_time <= ASSERT_QUERY_TIMEOUT_S):
    # Force Impala to process the inserts to the completed queries table.
    if query_tbl != QUERY_TBL_LIVE:
      client.execute("refresh " + query_tbl)

    # Assert the query was written correctly to the query log table.
    sql_results = client.execute("select * from {0} where query_id='{1}'".format(
        query_tbl, query_id))
    if sql_results.success and len(sql_results.data) == 1:
      success = True
      break

    # Query is not yet available in the workload management table, wait and try again.
    sleep(1)

  assert success, "Did not find query '{}' in the '{}' table after multiple attempts" \
      .format(query_id, query_tbl)

  data = sql_results.data[0].split("\t")
  actual = []
  if len(data[col]) > 0:
    actual = data[col].split(",")

  # Prepend the database to the beginning of each item in the expected_list.
  if db is not None:
    expected_list = list(map(lambda item: "{}.{}".format(db, item), expected_list))

  assert len(actual) == len(expected_list), "Column '{}' for query '{}' had different "\
      "lengths between the actual and expected lists:\n  actual   (length {}): {}\n  " \
      "expected (length {}): {}".format(TQueryTableColumn._VALUES_TO_NAMES[col], query_id,
      len(actual), sorted(actual), len(expected_list), sorted(expected_list))

  for expected in expected_list:
    assert expected in actual, "Column '{}' for query '{}' was missing expected value " \
        "'{}'\n  actual   (length {}): {}\n  expected (length {}): {}" \
        .format(TQueryTableColumn._VALUES_TO_NAMES[col], query_id, expected, len(actual),
        sorted(actual), len(expected_list), sorted(expected_list))


def redaction_rules_file():
  """Provides the path to a redaction file that redacts the word
     'supercalifragilisticexpialidocious'."""
  return "{}/testdata/workload_mgmt/redaction.json".format(os.environ["IMPALA_HOME"])