impala/testdata/bin/create-load-data.sh

#!/bin/bash
# Copyright 2012 Cloudera Inc.
#
# Licensed 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 "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# This script can be executed in two ways:
# 1) Without any command line parameters - A normal data load will happen where data is
# generated as needed, generally by issuing 'INSERT INTO <table> SELECT *' commands.
# 2) With a command line parameter pointing to a test-warehouse snapshot file - In this
# case the snapshot file contents will be copied into HDFS prior to calling the data load
# scripts. This speeds up overall data loading time because it usually means only the
# table metadata needs to be created.
#
# For more information look at testdata/bin/load-test-warehouse-snapshot.sh and
# bin/load-data.py

# Exit on error.
set -e

. ${IMPALA_HOME}/bin/impala-config.sh > /dev/null 2>&1
SKIP_METADATA_LOAD=0
SKIP_SNAPSHOT_LOAD=0
SNAPSHOT_FILE=""
LOAD_DATA_ARGS=""
JDBC_URL="jdbc:hive2://localhost:11050/default;"
DATA_LOADING_LOG_DIR=${IMPALA_TEST_CLUSTER_LOG_DIR}/data_loading
mkdir -p ${DATA_LOADING_LOG_DIR}

while [ -n "$*" ]
do
  case $1 in
    -skip_metadata_load)
      SKIP_METADATA_LOAD=1
      ;;
    -skip_snapshot_load)
      SKIP_SNAPSHOT_LOAD=1
      ;;
    -snapshot_file)
      SNAPSHOT_FILE=${2-}
      if [ ! -f $SNAPSHOT_FILE ]; then
        echo "-snapshot_file does not exist: $SNAPSHOT_FILE"
        exit 1;
      fi
      shift;
      ;;
    -help|-h|*)
      echo "create-load-data.sh : Creates data and loads from scratch"
      echo "[-skip_metadata_load] : Skips loading of metadata"
      echo "[-skip_snapshot_load] : Assumes that the snapshot is already loaded"
      echo "[-snapshot_file] : Loads the test warehouse snapshot into hdfs"
      exit 1;
      ;;
    esac
  shift;
done

if [[ $SKIP_METADATA_LOAD -eq 0  && "$SNAPSHOT_FILE" = "" ]]; then
  echo "Loading Hive Builtins"
  ${IMPALA_HOME}/testdata/bin/load-hive-builtins.sh
  echo "Generating HBase data"
  ${IMPALA_HOME}/testdata/bin/create-hbase.sh &> ${DATA_LOADING_LOG_DIR}/create-hbase.log
elif [ $SKIP_SNAPSHOT_LOAD -eq 0 ]; then
  echo Loading hdfs data from snapshot: $SNAPSHOT_FILE
  ${IMPALA_HOME}/testdata/bin/load-test-warehouse-snapshot.sh "$SNAPSHOT_FILE"
  # Don't skip the metadata load if a schema change is detected.
  if ! ${IMPALA_HOME}/testdata/bin/check-schema-diff.sh; then
    echo "Schema change detected, metadata will be loaded."
    SKIP_METADATA_LOAD=0
  fi
else
  # hdfs data already exists, don't load it.
  echo Skipping loading data to hdfs.
fi

function load-custom-schemas {
  echo LOADING CUSTOM SCHEMAS
  SCHEMA_SRC_DIR=${IMPALA_HOME}/testdata/data/schemas
  SCHEMA_DEST_DIR=/test-warehouse/schemas
  # clean the old schemas directory.
  hadoop fs -rm -r -f ${SCHEMA_DEST_DIR}
  hadoop fs -mkdir ${SCHEMA_DEST_DIR}
  hadoop fs -put $SCHEMA_SRC_DIR/zipcode_incomes.parquet ${SCHEMA_DEST_DIR}/
  hadoop fs -put $SCHEMA_SRC_DIR/unsupported.parquet ${SCHEMA_DEST_DIR}/
  hadoop fs -put $SCHEMA_SRC_DIR/map.parquet ${SCHEMA_DEST_DIR}/
  hadoop fs -put $SCHEMA_SRC_DIR/array.parquet ${SCHEMA_DEST_DIR}/
  hadoop fs -put $SCHEMA_SRC_DIR/struct.parquet ${SCHEMA_DEST_DIR}/
  hadoop fs -put $SCHEMA_SRC_DIR/alltypestiny.parquet ${SCHEMA_DEST_DIR}/
  hadoop fs -put $SCHEMA_SRC_DIR/malformed_decimal_tiny.parquet ${SCHEMA_DEST_DIR}/
  hadoop fs -put $SCHEMA_SRC_DIR/decimal.parquet ${SCHEMA_DEST_DIR}/

  # CHAR and VARCHAR tables written by Hive
  hadoop fs -mkdir -p /test-warehouse/chars_formats_avro_snap/
  hadoop fs -put -f ${IMPALA_HOME}/testdata/data/chars-formats.avro \
    /test-warehouse/chars_formats_avro_snap
  hadoop fs -mkdir -p /test-warehouse/chars_formats_parquet/
  hadoop fs -put -f ${IMPALA_HOME}/testdata/data/chars-formats.parquet \
    /test-warehouse/chars_formats_parquet
  hadoop fs -mkdir -p /test-warehouse/chars_formats_text/
  hadoop fs -put -f ${IMPALA_HOME}/testdata/data/chars-formats.txt \
    /test-warehouse/chars_formats_text
}

function load-data {
  WORKLOAD=${1}
  EXPLORATION_STRATEGY=${2:-"core"}
  TABLE_FORMATS=${3:-}

  MSG="Loading workload '$WORKLOAD'"
  ARGS=("--workloads $WORKLOAD")
  MSG+=" Using exploration strategy '$EXPLORATION_STRATEGY'"
  ARGS+=("-e $EXPLORATION_STRATEGY")
  if [ $TABLE_FORMATS ]; then
    MSG+=" in table formats '$TABLE_FORMATS'"
    ARGS+=("--table_formats $TABLE_FORMATS")
  fi
  if [ $LOAD_DATA_ARGS ]; then
    ARGS+=("$LOAD_DATA_ARGS")
  fi
  # functional-query is unique. The dataset name is not the same as the workload name.
  if [ "${WORKLOAD}" = "functional-query" ]; then
    WORKLOAD="functional"
  fi
  # Force load the dataset if we detect a schema change.
  if ! ${IMPALA_HOME}/testdata/bin/check-schema-diff.sh $WORKLOAD; then
    ARGS+=("--force")
    echo "Force loading $WORKLOAD because a schema change was detected"
  fi
  LOG_FILE=${DATA_LOADING_LOG_DIR}/data-load-${WORKLOAD}-${EXPLORATION_STRATEGY}.log
  echo "$MSG. Logging to ${LOG_FILE}"
  # Use unbuffered logging by executing with 'python -u'
  python -u ${IMPALA_HOME}/bin/load-data.py ${ARGS[@]} &> ${LOG_FILE}
}

function cache-test-tables {
  echo CACHING  tpch.nation AND functional.alltypestiny
  # uncaching the tables first makes this operation idempotent.
  ${IMPALA_HOME}/bin/impala-shell.sh -q "alter table functional.alltypestiny set uncached"
  ${IMPALA_HOME}/bin/impala-shell.sh -q "alter table tpch.nation set uncached"
  ${IMPALA_HOME}/bin/impala-shell.sh -q "alter table tpch.nation set cached in 'testPool'"
  ${IMPALA_HOME}/bin/impala-shell.sh -q\
    "alter table functional.alltypestiny set cached in 'testPool'"
}

function load-aux-workloads {
  echo LOADING AUXILIARY WORKLOADS
  LOG_FILE=${DATA_LOADING_LOG_DIR}/data-load-auxiliary-workloads-core.log
  rm -f $LOG_FILE
  # Load all the auxiliary workloads (if any exist)
  if [ -d ${IMPALA_AUX_WORKLOAD_DIR} ] && [ -d ${IMPALA_AUX_DATASET_DIR} ]; then
    python -u ${IMPALA_HOME}/bin/load-data.py --workloads all\
        --workload_dir=${IMPALA_AUX_WORKLOAD_DIR}\
        --dataset_dir=${IMPALA_AUX_DATASET_DIR}\
        --exploration_strategy=core ${LOAD_DATA_ARGS} &>> $LOG_FILE
  else
    echo "Skipping load of auxilary workloads because directories do not exist"
  fi
}

function copy-auth-policy {
  echo COPYING AUTHORIZATION POLICY FILE
  hadoop fs -rm -f /test-warehouse/authz-policy.ini
  hadoop fs -put ${IMPALA_HOME}/fe/src/test/resources/authz-policy.ini /test-warehouse/
}

function copy-and-load-dependent-tables {
  # COPY
  # TODO: The multi-format table will move these files. So we need to copy them to a
  # temporary location for that table to use. Should find a better way to handle this.
  echo COPYING AND LOADING DATA FOR DEPENDENT TABLES
  hadoop fs -rm -r -f /test-warehouse/alltypesmixedformat
  hadoop fs -rm -r -f /tmp/alltypes_rc
  hadoop fs -rm -r -f /tmp/alltypes_seq
  hadoop fs -mkdir -p /tmp/alltypes_seq/year=2009
  hadoop fs -mkdir -p /tmp/alltypes_rc/year=2009
  hadoop fs -cp  /test-warehouse/alltypes_seq/year=2009/month=2/ /tmp/alltypes_seq/year=2009
  hadoop fs -cp  /test-warehouse/alltypes_rc/year=2009/month=3/ /tmp/alltypes_rc/year=2009

  # Create a hidden file in AllTypesSmall
  hadoop fs -rm -f /test-warehouse/alltypessmall/year=2009/month=1/_hidden
  hadoop fs -rm -f /test-warehouse/alltypessmall/year=2009/month=1/.hidden
  hadoop fs -cp  /test-warehouse/zipcode_incomes/DEC_00_SF3_P077_with_ann_noheader.csv \
   /test-warehouse/alltypessmall/year=2009/month=1/_hidden
  hadoop fs -cp  /test-warehouse/zipcode_incomes/DEC_00_SF3_P077_with_ann_noheader.csv \
   /test-warehouse/alltypessmall/year=2009/month=1/.hidden

  # For tables that rely on loading data from local fs test-warehouse
  # TODO: Find a good way to integrate this with the normal data loading scripts
  beeline -n $USER -u "${JDBC_URL}" -f\
    ${IMPALA_HOME}/testdata/bin/load-dependent-tables.sql
}

function create-internal-hbase-table {
  echo CREATING INTERNAL HBASE TABLE
  # TODO: For some reason DROP TABLE IF EXISTS sometimes fails on HBase if the table does
  # not exist. To work around this, disable exit on error before executing this command.
  # Need to investigate this more, but this works around the problem to unblock automation.
  set +o errexit
  beeline -n $USER -u "${JDBC_URL}" -e\
    "DROP TABLE IF EXISTS functional_hbase.internal_hbase_table"
  echo "disable 'functional_hbase.internal_hbase_table'" | hbase shell
  echo "drop 'functional_hbase.internal_hbase_table'" | hbase shell
  set -e
  # Used by CatalogTest to confirm that non-external HBase tables are identified
  # correctly (IMP-581)
  # Note that the usual 'hbase.table.name' property is not specified to avoid
  # creating tables in HBase as a side-effect.
  cat > /tmp/create-hbase-internal.sql << EOF
    CREATE TABLE functional_hbase.internal_hbase_table(key int, value string)
    STORED BY 'org.apache.hadoop.hive.hbase.HBaseStorageHandler'
    WITH SERDEPROPERTIES ("hbase.columns.mapping" = ":key,cf1:val");
EOF
  beeline -n $USER -u "${JDBC_URL}" -f /tmp/create-hbase-internal.sql
  rm -f /tmp/create-hbase-internal.sql
}

function load-custom-data {
  echo LOADING CUSTOM DATA
  # Load the index files for corrupted lzo data.
  hadoop fs -rm -f /test-warehouse/bad_text_lzo_text_lzo/bad_text.lzo.index
  hadoop fs -put ${IMPALA_HOME}/testdata/bad_text_lzo/bad_text.lzo.index \
      /test-warehouse/bad_text_lzo_text_lzo/

  hadoop fs -rm -r -f /bad_text_lzo_text_lzo/
  hadoop fs -mv /test-warehouse/bad_text_lzo_text_lzo/ /
  # Cleanup the old bad_text_lzo files, if they exist.
  hadoop fs -rm -r -f /test-warehouse/bad_text_lzo/

  # Index all lzo files in HDFS under /test-warehouse
  ${IMPALA_HOME}/testdata/bin/lzo_indexer.sh /test-warehouse

  hadoop fs -mv /bad_text_lzo_text_lzo/ /test-warehouse/

  # IMPALA-694: data file produced by parquet-mr version 1.2.5-cdh4.5.0
  hadoop fs -put -f ${IMPALA_HOME}/testdata/data/bad_parquet_data.parquet \
                    /test-warehouse/bad_parquet_parquet

  # Data file produced by parquet-mr with repeated values (produces 0 bit width dictionary)
  hadoop fs -put -f ${IMPALA_HOME}/testdata/data/repeated_values.parquet \
                    /test-warehouse/bad_parquet_parquet

  # IMPALA-720: data file produced by parquet-mr with multiple row groups
  hadoop fs -put -f ${IMPALA_HOME}/testdata/data/multiple_rowgroups.parquet \
                    /test-warehouse/bad_parquet_parquet

  # IMPALA-1401: data file produced by Hive 13 containing page statistics with long min/max
  # string values
  hadoop fs -put -f ${IMPALA_HOME}/testdata/data/long_page_header.parquet \
                    /test-warehouse/bad_parquet_parquet

  # Remove an index file so we test an un-indexed LZO file
  hadoop fs -rm /test-warehouse/alltypes_text_lzo/year=2009/month=1/000000_0.lzo.index

  # Add a sequence file that only contains a header (see IMPALA-362)
  hadoop fs -put -f ${IMPALA_HOME}/testdata/tinytable_seq_snap/tinytable_seq_snap_header_only \
                    /test-warehouse/tinytable_seq_snap

  beeline -n $USER -u "${JDBC_URL}" -f\
    ${IMPALA_HOME}/testdata/avro_schema_resolution/create_table.sql
}

function build-and-copy-hive-udfs {
  # Build the test Hive UDFs
  pushd ${IMPALA_HOME}/tests/test-hive-udfs
  mvn clean package
  popd
  # Copy the test UDF/UDA libraries into HDFS
  ${IMPALA_HOME}/testdata/bin/copy-udfs-udas.sh
}

function copy-and-load-ext-data-source {
  # Copy the test data source library into HDFS
  ${IMPALA_HOME}/testdata/bin/copy-data-sources.sh
  # Create data sources table.
  ${IMPALA_HOME}/bin/impala-shell.sh -f\
    ${IMPALA_HOME}/testdata/bin/create-data-source-table.sql
}


# Enable debug logging.
set -x


# For kerberized clusters, use kerberos
if ${CLUSTER_DIR}/admin is_kerberized; then
  LOAD_DATA_ARGS="${LOAD_DATA_ARGS} --use_kerberos --principal=${MINIKDC_PRINC_HIVE}"
fi

# Start Impala
${IMPALA_HOME}/bin/start-impala-cluster.py -s 3 --log_dir=${DATA_LOADING_LOG_DIR}
${IMPALA_HOME}/testdata/bin/setup-hdfs-caching.sh

if [ $SKIP_METADATA_LOAD -eq 0 ]; then
  # load custom schems
  load-custom-schemas
  # load functional/tpcds/tpch
  load-data "functional-query" "exhaustive"
  load-data "tpch" "core"
  load-data "tpcds" "core"
  load-aux-workloads
  copy-and-load-dependent-tables
  load-custom-data
  ${IMPALA_HOME}/testdata/bin/create-table-many-blocks.sh -p 1234 -b 1
  build-and-copy-hive-udfs
else
  echo "Skipped loading the metadata. Loading HBase."
  load-data "functional-query" "core" "hbase/none"
fi


# Configure alltypes_seq as a read-only table. This is required for fe tests.
hadoop fs -chmod -R 444 /test-warehouse/alltypes_seq/year=2009/month=1
hadoop fs -chmod -R 444 /test-warehouse/alltypes_seq/year=2009/month=3
cache-test-tables
copy-and-load-ext-data-source
# The tests need the built hive-udfs jar on the local fs
build-and-copy-hive-udfs
${IMPALA_HOME}/testdata/bin/split-hbase.sh > /dev/null 2>&1
create-internal-hbase-table
# TODO: Investigate why all stats are not preserved. Theorectically, we only need to
# recompute stats for HBase.
${IMPALA_HOME}/testdata/bin/compute-table-stats.sh
copy-auth-policy